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Open channel flow is defined as channel flow with a free surface, such as flow in a river or partially full pipe. SWAT+ uses Manning’s equation to define the rate and velocity of flow. Water is routed through the channel network using the variable storage routing method or the Muskingum river routing method. Both the variable storage and Muskingum routing methods are variations of the kinematic wave model. A detailed discussion of the kinematic wave flood routing model can be found in Chow et al. (1988).
Flow in a watershed is classified as overland or channelized. The primary difference between the two flow processes is that water storage and its influence on flow rates is considered in channelized flow. Main channel processes modeled by SWAT+ include the movement of water, sediment and other constituents (e.g. nutrients, pesticides) in the stream network, in-stream nutrient cycling, and in-stream pesticide transformations. Optional processes include the change in channel dimensions with time due to downcutting and widening.
The Muskingum routing method models the storage volume in a channel length as a combination of wedge and prism storages (Figure 7:1-3).
When a flood wave advances into a reach segment, inflow exceeds outflow and a wedge of storage is produced. As the flood wave recedes, outflow exceeds inflow in the reach segment and a negative wedge is produced. In addition to the wedge storage, the reach segment contains a prism of storage formed by a volume of constant cross-section along the reach length.
As defined by Manning’s equation (equation 7:1.2.1), the cross-sectional area of flow is assumed to be directly proportional to the discharge for a given reach segment. Using this assumption, the volume of prism storage can be expressed as a function of the discharge, , where is the ratio of storage to discharge and has the dimension of time. In a similar manner, the volume of wedge storage can be expressed as , where is a weighting factor that controls the relative importance of inflow and outflow in determining the storage in a reach. Summing these terms gives a value for total storage
This format is similar to equation 7:1.3.7.
The definition for storage volume in equation 7:1.4.2 can be incorporated into the continuity equation (equation 7:1.3.2) and simplified to
To maintain numerical stability and avoid the computation of negative outflows, the following condition must be met:
Table 7:1-3: SWAT+ input variables that pertain to Muskingum routing.
The variable storage routing method was developed by Williams (1969) and used in the HYMO (Williams and Hann, 1973) and ROTO (Arnold et al., 1995) models.
For a given reach segment, storage routing is based on the continuity equation:
7:1.3.1
where is the volume of inflow during the time step (m HO), is the volume of outflow during the time step (m HO), and is the change in volume of storage during the time step (m HO). This equation can be written as
7:1.3.2
where is the length of the time step (s), is the inflow rate at the beginning of the time step (m/s), is the inflow rate at the end of the time step (m/s), is the outflow rate at the beginning of the time step (m/s), is the outflow rate at the end of the time step (m/s), is the storage volume at the beginning of the time step (m HO), and is the storage volume at the end of the time step (m HO). Rearranging equation 7:1.3.2 so that all known variables are on the left side of the equation,
7:1.3.3
where is the average inflow rate during the time step: .
Travel time is computed by dividing the volume of water in the channel by the flow rate.
7:1.3.4
where is the travel time (s), is the storage volume (m HO), and is the discharge rate (m/s).
To obtain a relationship between travel time and the storage coefficient, equation 7:1.3.4 is substituted into equation 7:1.3.3:
7:1.3.5
which simplifies to
7:1.3.6
This equation is similar to the coefficient method equation
7:1.3.7
It can be shown that
Substituting this into equation 7:1.3.7 gives
To express all values in units of volume, both sides of the equation are multiplied by the time step
Manning’s equation for uniform flow in a channel is used to calculate the rate and velocity of flow in a reach segment for a given time step:
7:1.2.1
7:1.2.2
where is the rate of flow in the channel (m/s), is the cross-sectional area of flow in the channel (m), is the hydraulic radius for a given depth of flow (m), is the slope along the channel length (m/m), is Manning’s “n” coefficient for the channel, and is the flow velocity (m/s).
SWAT+ routes water as a volume. The daily value for cross-sectional area of flow, , is calculated by rearranging equation 7:1.1.7 to solve for the area:
7:1.2.3
where is the cross-sectional area of flow in the channel for a given depth of water (m), is the volume of water stored in the channel (m), and is the channel length (km). Equation 7:1.1.4 is rearranged to calculate the depth of flow for a given time step:
7:1.2.4
where is the depth of flow (m), is the cross-sectional area of flow in the channel for a given depth of water (m), is the bottom width of the channel (m), and is the inverse of the channel side slope. Equation 7:1.2.4 is valid only when all water is contained in the channel. If the volume of water in the reach segment has filled the channel and is in the flood plain, the depth is calculated:
7:1.2.5
where is the depth of flow (m), is the depth of water in the channel when filled to the top of the bank (m), is the cross-sectional area of flow in the channel for a given depth of water (m), is the cross-sectional area of flow in the channel when filled to the top of the bank (m), is the bottom width of the flood plain (m), and is the inverse of the flood plain side slope.
Once the depth is known, the wetting perimeter and hydraulic radius are calculated using equations 7:1.1.5 (or 7:1.1.10) and 7:1.1.6. At this point, all values required to calculate the flow rate and velocity are known and equations 7:1.2.1 and 7:1.2.2 can be solved.
Table 7:1-2: SWAT+ input variables that pertain to channel flow calculations.
Variable Name | Definition | File Name |
---|---|---|
The amount of water entering bank storage on a given day is calculated:
7:1.7.1
where is the amount of water entering bank storage (m HO), are the channel transmission losses (m HO), and is the fraction of transmission losses partitioned to the deep aquifer.
Bank storage contributes flow to the main channel or reach within the subbasin. Bank flow is simulated with a recession curve similar to that used for groundwater. The volume of water entering the reach from bank storage is calculated:
7:1.7.2
where is the volume of water added to the reach via return flow from bank storage(m HO), is the total amount of water in bank storage (m HO), and is the bank flow recession constant or constant of proportionality.
Water may move from bank storage into an adjacent unsaturated zone. SWAT+ models the movement of water into adjacent unsaturated areas as a function of water demand for evapotranspiration. To avoid confusion with soil evaporation and transpiration, this process has been termed ‘revap’. This process is significant in watersheds where the saturated zone is not very far below the surface or where deep-rooted plants are growing. ‘Revap’ from bank storage is governed by the groundwater revap coefficient defined for the last HRU in the subbasin.
The maximum amount of water than will be removed from bank storage via ‘revap’ on a given day is:
7:1.7.3
where is the maximum amount of water moving into the unsaturated zone in response to water deficiencies (m HO), is the revap coefficient, is the potential evapotranspiration for the day (mm HO), is the channel length (km), and is the width of the channel at water level (m). The actual amount of revap that will occur on a given day is calculated:
if 7:1.7.4
if 7:1.7.5
where is the actual amount of water moving into the unsaturated zone in response to water deficiencies (m HO), is the maximum amount of water moving into the unsaturated zone in response to water deficiencies (m HO), and is the amount of water in bank storage at the beginning of day (m HO).
Table 7:1-7: SWAT+ input variables that pertain to bank storage.
Variable Name | Definition | File Name |
---|
SWAT+ assumes the main channels, or reaches, have a trapezoidal shape (Figure 7:1-1).
Users are required to define the width and depth of the channel when filled to the top of the bank as well as the channel length, slope along the channel length and Manning’s “n” value. SWAT+ assumes the channel sides have a 2:1 run to rise ratio ( = 2). The slope of the channel sides is then ½ or 0.5. The bottom width is calculated from the width and depth with the equation:
7:1.1.1
For a given depth of water in the channel, the width of the channel at water level is:
When the volume of water in the reach exceeds the maximum amount that can be held by the channel, the excess water spreads across the flood plain. The flood plain dimensions used by SWAT+ are shown in Figure 7:1-2.
When flow is present in the flood plain, the calculation of the flow depth, cross-sectional flow area and wetting perimeter is a sum of the channel and floodplain components:
7:1.1.9
7:1.1.10
Table 7:1-1: SWAT+ input variables that pertain to channel dimension calculations.
7:1.4.1
where is the storage volume (m HO), is the inflow rate (m/s), is the discharge rate (m/s), is the storage time constant for the reach (s), and is the weighting factor. This equation can be rearranged to the form
7:1.4.2
The weighting factor, , has a lower limit of 0.0 and an upper limit of 0.5. This factor is a function of the wedge storage. For reservoir-type storage, there is no wedge and . For a full-wedge, . For rivers, will fall between 0.0 and 0.3 with a mean value near 0.2.
7:1.4.3
where is the inflow rate at the beginning of the time step (m/s), is the inflow rate at the end of the time step (m/s), is the outflow rate at the beginning of the time step (m/s), is the outflow rate at the end of the time step (m/s), and
7:1.4.4
7:1.4.5
7:1.4.6
where . To express all values in units of volume, both sides of equation 7:1.4.3 are multiplied by the time step
7:1.4.7
7:1.4.8
The value for the weighting factor, , is input by the user. The value for the storage time constant is estimated as:
7:1.4.9
where is the storage time constant for the reach segment (s), and are weighting coefficients input by the user, is the storage time constant calculated for the reach segment with bankfull flows (s), and is the storage time constant calculated for the reach segment with one-tenth of the bankfull flows (s). To calculate and , an equation developed by Cunge (1969) is used:
7:1.4.10
where is the storage time constant (s), is the channel length (km), and is the celerity corresponding to the flow for a specified depth (m/s). Celerity is the velocity with which a variation in flow rate travels along the channel. It is defined as
7:1.4.11
where the flow rate, , is defined by Manning’s equation. Differentiating equation 7:1.2.1 with respect to the cross-sectional area gives
7:1.4.12
where is the celerity (m/s), is the hydraulic radius for a given depth of flow (m), is the slope along the channel length (m/m), n is Manning’s “” coefficient for the channel, and is the flow velocity (m/s).
Variable Name | Definition | File Name |
---|---|---|
where is the storage coefficient. Equation 7:1.3.7 is the basis for the SCS convex routing method (SCS, 1964) and the Muskingum method (Brakensiek, 1967; Overton, 1966). From equation 7:1.3.6, the storage coefficient in equation 7:1.3.7 is defined as
7:1.3.8
7:1.3.9
7:1.3.10
7:1.3.11
where is the bottom width of the channel (m), is the top width of the channel when filled with water (m), is the inverse of the channel side slope, and is the depth of water in the channel when filled to the top of the bank (m). Because of the assumption that , it is possible for the bottom width calculated with equation 7:1.1.1 to be less than or equal to zero. If this occurs, the model sets and calculates a new value for the channel side slope run by solving equation 7:1.1.1 for :
7:1.1.2
7:1.1.3
where is the width of the channel at water level (m), is the bottom width of the channel (m), is the inverse of the channel slope, and is the depth of water in the channel (m). The cross-sectional area of flow is calculated:
7:1.1.4
where is the cross-sectional area of flow in the channel (m), is the bottom width of the channel (m), is the inverse of the channel slope, and is the depth of water in the channel (m). The wetted perimeter of the channel is defined as
7:1.1.5
where is the wetted perimeter for a given depth of flow (m). The hydraulic radius of the channel is calculated
7:1.1.6
where is the hydraulic radius for a given depth of flow (m), is the cross-sectional area of flow in the channel (m), and is the wetted perimeter for a given depth of flow (m). The volume of water held in the channel is
7.1.1.7
where is the volume of water stored in the channel (m), is the channel length (km), and is the cross-sectional area of flow in the channel for a given depth of water (m).
The bottom width of the floodplain, , is . SWAT+ assumes the flood plain side slopes have a 4:1 run to rise ratio ( = 4). The slope of the flood plain sides is then ¼ or 0.25.
7:1.1.8
where is the total depth of water (m), is the depth of water in the channel when filled to the top of the bank (m), is the depth of water in the flood plain (m), is the cross-sectional area of flow for a given depth of water (m), is the bottom width of the channel (m), is the inverse of the channel side slope, is the bottom width of the flood plain (m), is the inverse of the flood plain side slope, is the wetted perimeter for a given depth of flow (m), and is the top width of the channel when filled with water (m).
Variable Name | Definition | File Name |
---|
MSK_X
: weighting factor
.bsn
MSK_CO1
: weighting factor for influence of normal flow on storage time constant value
.bsn
MSK_CO2
: weighting factor for influence of low flow on storage time constant
.bsn
CH_S(2)
: Average channel slope along channel length (m m)
.rte
CH_N(2)
: Manning’s “n” value for the main channel
.rte
CH_L(2)
: Length of main channel (km)
.rte
Williams (1980) used Bagnold’s (1977) definition of stream power to develop a method for determining degradation as a function of channel slope and velocity. In this version, the equations have been simplified and the maximum amount of sediment that can be transported from a reach segment is a function of the peak channel velocity. The peak channel velocity, , is calculated:
7:2.2.1
where is the peak flow rate (m/s) and is the cross-sectional area of flow in the channel (m). The peak flow rate is defined as:
7:2.2.2
where is the peak rate adjustment factor, and is the average rate of flow (m/s). Calculation of the average rate of flow, , and the cross-sectional area of flow, , is reviewed in Section 7, Chapter 1.
The maximum amount of sediment that can be transported from a reach segment is calculated:
7:2.2.3
where is the maximum concentration of sediment that can be transported by the water (ton/m or kg/L), is a coefficient defined by the user, is the peak channel velocity (m/s), and spexp is an exponent defined by the user. The exponent, , normally varies between 1.0 and 2.0 and was set at 1.5 in the original Bagnold stream power equation (Arnold et al., 1995).
The maximum concentration of sediment calculated with equation 24.1.3 is compared to the concentration of sediment in the reach at the beginning of the time step, . If , deposition is the dominant process in the reach segment and the net amount of sediment deposited is calculated:
7:2.2.4
where is the amount of sediment deposited in the reach segment (metric tons), is the initial sediment concentration in the reach (kg/L or ton/m), is the maximum concentration of sediment that can be transported by the water (kg/L or ton/m), and is the volume of water in the reach segment (m HO).
If , degradation is the dominant process in the reach segment and the net amount of sediment reentrained is calculated:
7:2.2.5
where is the amount of sediment reentrained in the reach segment (metric tons), is the maximum concentration of sediment that can be transported by the water (kg/L or ton/m), is the initial sediment concentration in the reach (kg/L or ton/m), is the volume of water in the reach segment (m HO), is the channel erodibility factor, and is the channel cover factor.
Once the amount of deposition and degradation has been calculated, the final amount of sediment in the reach is determined:
7:2.2.6
where is the amount of suspended sediment in the reach (metric tons), is the amount of suspended sediment in the reach at the beginning of the time period (metric tons), is the amount of sediment deposited in the reach segment (metric tons), and is the amount of sediment reentrained in the reach segment (metric tons).
The amount of sediment transported out of the reach is calculated:
7:2.2.7
where is the amount of sediment transported out of the reach (metric tons), is the amount of suspended sediment in the reach (metric tons), is the volume of outflow during the time step (m HO), and is the volume of water in the reach segment (m HO).
In this method, the erosion is assumed to be limited only by the transport capacity, i.e., the sediment supply from channel erosion is unlimited. If the bedload entering the channel is less than the transport capacity, then channel erosion is assumed to meet this deficit. On the other hand if the bedload entering the channel is more than the transport capacity, the difference in the load will get deposited within the channel. Hence, in the default method, the bed load carried by the channel is almost always near the maximum transport capacity given by the simplified Bagnold equation and only limited by the channel cover and erodibility factors (eq. 7:2.2.11). During subsequent floods, the deposited sediments will be resuspended and transported before channel degradation.
If this method is chosen for sediment transport modeling, it does not keep track of particle size distribution through the channel reaches and all are assumed to be of silt size particles. Further, the channel erosion is not partitioned between stream bank and stream bed and deposition is assumed to occur only in the main channel; flood plain deposition of sediments is also not modeled separately.
Water storage in the reach at the end of the time step is calculated:
7:1.8.1
where is the volume of water in the reach at the end of the time step (m HO), is the volume of water in the reach at the beginning of the time step (m HO), is the volume of water flowing into the reach during the time step (m HO), is the volume of water flowing out of the reach during the time step (m HO), is the volume of water lost from the reach via transmission through the bed (m HO), is the evaporation from the reach for the day (m HO), is the volume of water added or removed from the reach for the day through diversions (m HO), and is the volume of water added to the reach via return flow from bank storage (m HO).
SWAT+ treats the volume of outflow calculated with equation 7:1.3.11 or 7:1.4.7 as the net amount of water removed from the reach. As transmission losses, evaporation and other water losses for the reach segment are calculated, the amount of outflow to the next reach segment is reduced by the amount of the loss. When outflow and all losses are summed, the total amount will equal the value obtained from 7:1.3.11 or 7:1.4.7.
The sediment size distribution of the detached sediment is estimated from the primary particle size distribution (Foster et al., 1980). The values are typical of many Midwestern soils.
7:2.1.1
7:2.1.2
7:2.1.3
7:2.1.4
7:2.1.5
where SAN, SIL and CLA are the fractions of primary sand, silt, and clay in the original soil mass, and PSA, PSI, PCL, SAG and LAG are the fractions of sand, silt, clay, small aggregates, and large aggregates for the detached sediment before deposition. Total sediment yield from landscape calculated by MUSLE is multiplied by these fractions to get the corresponding yield distributions of sand, silt, clay, small aggregate and large aggregate. The particle diameters assumed are:
Sediment yield from landscape is lagged (see the chapter on Erosion) and routed through grassed waterway, vegetative filter strips, and ponds, if available, before reaching the stream channel. Thus, the sediment yield reaching the stream channel is the sum of total sediment yield calculated by MUSLE minus the lag, and the sediment trapped in grassed waterway, vegetative filter strips and/or ponds. Please refer to the individual chapters for sediment routing through these elements. Based on the total sediment trapping calculated in these elements, coarser sediments such as sand and large aggregate are assumed to settle/trap first followed by fine sediments such as clay. This gives the final particle size distribution of sediment reaching the stream from landscape portion.
Sediment transport in the channel network is a function of two processes, deposition and degradation, operating simultaneously in the reach. SWAT+ will compute deposition and degradation using the same channel dimensions for the entire simulation. Alternatively, SWAT+ can also simulate downcutting and widening of the stream channel and update channel dimensions throughout the simulation. Sediment transport consists of two components 1) Landscape component and 2) Channel component. From the landscape component, SWAT+ keep tracks of the particle size distribution of eroded sediments and routes them through ponds, channels, and surface water bodies. In the channel, degradation or deposition of sediment can occur depending on the stream power, the exposure of channel sides and bottom to the erosive force of the stream and the composition of channel bank and bed sediment.
Each subbasin has a main routing reach where sediment from upland subbasins is routed and then added to downstream reaches. In SWAT+, a simplified version of Bagnold (1977) stream power equation was used to calculate the maximum amount of sediment that can be transported in a stream segment. It does not keep track of sediment pools in various particle sizes.
In the current version, four additional stream power equations with more physically based approach have been incorporated for modeling sediment transport, bank and bed erosions in channel containing various bed materials and sediment deposition. If one among these four physically based approach is selected, then the sediment pool in six particle sizes are tracked by the model.
During the day, algae increase the stream’s dissolved oxygen concentration via photosynthesis. At night, algae reduce the concentration via respiration. As algae grow and die, they form part of the in-stream nutrient cycle. This section summarizes the equations used to simulate algal growth in the stream.
Parameters which affect water quality and can be considered pollution indicators include nutrients, total solids, biological oxygen demand, nitrates, and microorganisms (Loehr, 1970; Paine, 1973). Parameters of secondary importance include odor, taste, and turbidity (Azevedo and Stout, 1974).
The SWAT+ in-stream water quality algorithms incorporate constituent interactions and relationships used in the QUAL2E model (Brown and Barnwell, 1987). The documentation provided in this chapter has been taken from Brown and Barnwell (1987). The modeling of in-stream nutrient transformations has been made an optional feature of SWAT+. To route nutrient loadings downstream without simulating transformations, the variable IWQ in the basin input (.bsn) file should be set to 0. To activate the simulation of in-stream nutrient transformations, this variable should be set to 1.
The phosphorus cycle is similar to the nitrogen cycle. The death of algae transforms algal phosphorus into organic phosphorus. Organic phosphorus is mineralized to soluble phosphorus which is available for uptake by algae. Organic phosphorus may also be removed from the stream by settling. This section summarizes the equations used to simulate the phosphorus cycle in the stream.
Reaeration occurs by diffusion of oxygen from the atmosphere into the stream and by the mixing of water and air that occurs during turbulent flow.
In aerobic water, there is a stepwise transformation from organic nitrogen to ammonia, to nitrite, and finally to nitrate. Organic nitrogen may also be removed from the stream by settling. This section summarizes the equations used to simulate the nitrogen cycle in the stream.
SWAT+ incorporates a simple mass balance developed by Chapra (1997) to model the transformation and transport of pesticides in streams. The model assumes a well-mixed layer of water overlying a sediment layer. Only one pesticide can be routed through the stream network. The pesticide to be routed is defined by the variable IRTPEST in the .bsn file.
Pesticide in the sediment layer underlying a reach segment is increased through addition of mass by settling and diffusion from the water. The amount of pesticide in the sediment layer is reduced through removal by degradation, resuspension, diffusion into the overlying water, and burial.
Pesticide in a reach segment is increased through addition of mass in inflow as well as resuspension and diffusion of pesticide from the sediment layer. The amount of pesticide in a reach segment is reduced through removal in outflow as well as degradation, volatilization, settling and diffusion into the underlying sediment.
CH_W(2) | .rte |
CH_D | .rte |
CH_L(2) | .rte |
TRNSRCH | : Fraction of transmission losses partitioned to the deep aquifer | .bsn |
ALPHA_BNK | : Bank flow recession constant or constant of proportionality | .rte |
GW_REVAP | : Revap coefficient | .gw |
The channel erodibility factor is conceptually similar to the soil erodibility factor used in the USLE equation. Channel erodibility is a function of properties of the bed or bank materials.
Channel erodibility can be measured with a submerged vertical jet device. The basic premise of the test is that erosion of a vegetated or bare channel and local scour beneath an impinging jet are the result of hydraulic stresses, boundary geometry, and the properties of the material being eroded. Hanson (1990) developed a method for determining the erodibility coefficient of channels in situ with the submerged vertical jet. Allen et al. (1999) utilized this method to determine channel erodibility factors for thirty sites in Texas.
A submerged, vertical jet of water directed perpendicularly at the channel bed causes erosion of the bed material in the vicinity of the jet impact area (Figure 7:2-1). Important variables in the erosion process are: the volume of material removed during a jetting event, elevation of the jet above the ground surface, diameter of the jet nozzle, jet velocity, time, mass density of the fluid and coefficient of erodibility.
Hanson (1991) defined a jet index, J, to relate erodibility to scour created by the submerged jet. The jet index is a function of the depth of scour beneath the jet per unit time and the jet velocity. The jet index is determined by a least squares fit following the procedures outlined in ASTM standard D 5852-95.
Once the jet index is determined, the channel erodibility coefficient is calculated:
7:2.3.1
where is the channel bankd/bed erodibility coefficient (cm/N-s) and is the jet index. In general, values for channel erodibility are an order of magnitude smaller than values for soil erodibility.
Evaporation losses from the reach are calculated:
7:1.6.1
where is the evaporation from the reach for the day (m HO), is an evaporation coefficient, is potential evaporation (mm HO), is the channel length (km), is the channel width at water level (m), and is the fraction of the time step in which water is flowing in the channel.
The evaporation coefficient is a calibration parameter for the user and is allowed to vary between 0.0 and 1.0.
The fraction of the time step in which water is flowing in the channel is calculated by dividing the travel time by the length of the time step.
Table 7:1-6: SWAT+ input variables that pertain to evaporation losses.
Variable Name | Definition | File Name |
---|---|---|
The classification of a stream as ephemeral, intermittent or perennial is a function of the amount of groundwater contribution received by the stream. Ephemeral streams contain water during and immediately after a storm event and are dry the rest of the year. Intermittent streams are dry part of the year, but contain flow when the groundwater is high enough as well as during and after a storm event. Perennial streams receive continuous groundwater contributions and flow throughout the year.
During periods when a stream receives no groundwater contributions, it is possible for water to be lost from the channel via transmission through the side and bottom of the channel. Transmission losses are estimated with the equation
7:1.5.1
where are the channel transmission losses (m HO), is the effective hydraulic conductivity of the channel alluvium (mm/hr), is the flow travel time (hr), is the wetted perimeter (m), and is the channel length (km). Transmission losses from the main channel are assumed to enter bank storage or the deep aquifer.
Typical values for for various alluvium materials are given in Table 7:1-4. For perennial streams with continuous groundwater contribution, the effective conductivity will be zero.
Table 7:1-5: SWAT+ input variables that pertain to transmission losses.
While sediment transport calculations have traditionally been made with the same channel dimensions throughout a simulation, SWAT+ will model channel downcutting and widening. When channel downcutting and widening is simulated, channel dimensions are allowed to change during the simulation period.
Three channel dimensions are allowed to vary in channel downcutting and widening simulations: bankfull depth, , channel width, , and channel slope, . Channel dimensions are updated using the following equations when the volume of water in the reach exceeds 1.4 × 106 m.
The amount of downcutting is calculated (Allen et al., 1999):
7:2.5.1
where is the amount of downcutting (m), is the depth of water in channel (m), is the channel slope (m/m), and is the channel erodibility coefficient (cm/h/Pa).
The new bankfull depth is calculated:
7:2.5.2
where is the new bankfull depth (m), is the previous bankfull depth, and is the amount of downcutting (m).
The new bank width is calculated:
7:2.5.3
where is the new width of the channel at the top of the bank (m), is the channel width to depth ratio, and is the new bankfull depth (m).
The new channel slope is calculated:
7:2.5.4
where is the new channel slope (m/m), is the previous channel slope (m/m), is the new bankfull depth (m), and is the channel length (km).
Table 7:2-2: SWAT+ input variables that pertain to channel downcutting and widening.
The channel cover factor, , is defined as the ratio of degradation from a channel with a specified vegetative cover to the corresponding degradation from a channel with no vegetative cover. The vegetation affects degradation by reducing the stream velocity, and consequently its erosive power, near the bed surface.
Table 7:2-1: SWAT+ input variables that pertain to sediment routing.
For the channel erosion to occur, both transport and supply should not be limiting, i.e., 1) the stream power (transport capacity) of the water should be high and the sediment load from the upstream regions should be less than this capacity and 2) The shear stress exerted by the water on the bed and bank should be more than the critical shear stress to dislodge the sediment particle. The potential erosion rates of bank and bed is predicted based on the excess shear stress equation (Hanson and Simon, 2001):
7:2.2.8
7:2.2.9
where – erosion rates of the bank and bed (m/s), – erodibility coefficient of bank and (cm/N-s) and – Critical shear stress acting on bank and bed (N/m). This equation indicates that effective stress on the channel bank and bed should be more than the respective critical stress for the erosion to occur.
The effective shear stress acting on the bank and bed are calculated using the following equations (Eaton and Millar, 2004):
7:2.2.10
7:2.2.11
7:2.2.12
where – proportion of shear stress acting on the bank, – effective shear stress on bed and bank (N/m), – specific weight of water (9800 N/m), – Depth of water in the channel (m), – Top width of channel (m), – Wetted perimeter of bed (bottom width of channel) (m), – Wetted perimeter of channel banks (m), – angle of the channel bank from horizontal, – Channel bed slope (m/m).
The effective shear stress calculated by the above equations should be more than the critical shear stress or the tractive force needed to dislodge the sediment. Critical shear stress for channel bank can be measured using submerged jet test (described later in this chapter). However, if field data is not available, critical shear stress is estimated using the third-order polynomial fitted to the results of Dunn (1959) and Vanoni (1977) by Julian and Torres (2006) :
7:2.2.19
where – percent silt and clay content and – channel vegetation coefficient (range from 1.0 for bare soil to 19.20 for heavy vegetation; see table 7:2-1):
Table 7:2-1. Channel vegetation coefficient for critical shear stress (Julian and Torres, 2006)
Channel erodibility coefficient () can also be measured from insitu submerged jet tests. However, if field data is not available, the model estimates using the empirical relation developed by Hanson and Simon (2001). Hanson and Simon (2001) conducted 83 jet tests on the stream beds of Midwestern USA and established the following relationship between critical shear stress and erodibility coefficient:
7:2.2.13
where – erodibility coefficient (cm/N-s) and – Critical shear stress (N/m).
Using the above relationships, the bank/bed erosion rate (m/s) can be calculated using eqns. 7:2.2.14 and 7:2.2.15. This has to be multiplied by the sediment bulk density and area exposed to erosion to get the total mass of sediment that could be eroded. Due to the meandering nature of the channel, the outside bank in a meander is more prone to erosion than the inside bank. Hence, the potential bank erosion is calculated by assuming erosion of effectively one channel bank:
7:2.2.14
Similarly, the amount of bed erosion is calculated as:
7:2.2.15
where – potential bank and bed erosion rates (Metric tons per day), – length of the channel (m),– depth of water flowing in the channel (m), – Channel bottom width (m), – bulk density of channel bank and bed sediment (g/cmor Metric tons/m or Mg/m). The relative erosion potential is used to partition the erosion in channel among stream bed and stream bank if the transport capacity of the channel is high. The relative erosion potential of stream bank and bed is calculated as:
7:2.2.16
7:2.2.17
SWAT+ currently has four stream power models to predict the transport capacity of channel. The stream power models predict the maximum concentration of bed load it can carry as a non-linear function of peak velocity:
7:2.2.18
where – maximum concentration of sediment that can be transported by the water (Metric ton/m). The stream power models currently used in SWAT+ are 1) Simplified Bagnold model 2) Kodatie model (for streams with bed material size ranging from silt to gravel) 3) Molinas and Wu model (for primarily sand size particles) and 4) Yang sand and gravel model (for primarily sand and gravel size particles).
Simplified Bagnold model: (same as eqn. 7:2.2.9)
7:2.2.19
where is the maximum concentration of sediment that can be transported by the water (ton/m or kg/L), is a coefficient defined by the user, is the peak channel velocity (m/s), and is an exponent defined by the user. The exponent, , normally varies between 1.0 and 2.0 and was set at 1.5 in the original Bagnold stream power equation (Arnold et al., 1995).
2. Kodatie model
Kodatie (2000) modified the equations developed by Posada (1995) using nonlinear optimization and field data for different sizes of riverbed sediment. This method can be used for streams with bed material in size ranging from silt to gravel:
7:2.2.20
where – mean flow velocity (m/s), y – mean flow depth (m), S – Energy slope, assumed to be the same as bed slope (m/m), (a,b,c and d) – regression coefficients for different bed materials (Table 7:2-1), – Volume of water entering the reach in the day (m), W – width of the channel at the water level (m), – bottom width of the channel (m).
3. Molinas and Wu model:
Molinas and Wu (2001) developed a sediment transport equation for large sand-bed rivers based on universal stream power. The transport equation is of the form:
7:2.2.21
where – is the concentration of sediments by weight, – universal stream power, and are coefficients. This equation was fitted to 414 sets of large river bed load data including rivers such as Amazon, Mississippi. The resulting expression is:
7:2.2.22
where – universal stream power is given by:
7:2.2.23
where – relative density of the solid (2.65), – acceleration due to gravity (9.81 m/s), – flow depth (m), – fall velocity of median size particles (m/s), – median sediment size. The fall velocity is calculated using Stokes’ Law by assuming a temperature of 22ºC and a sediment density of 1.2 t/m3:
7:2.2.24
The concentration by weight is converted to concentration by volume and the maximum bed load concentration in metric tons/m is calculated as:
7:2.2.25
4. Yang sand and gravel model
Yang (1996) related total load to excess unit stream power expressed as the product of velocity and slope. Separate equations were developed for sand and gravel bed material and solved for sediment concentration in ppm by weight. The regression equations were developed based on dimensionless combinations of unit stream power, critical unit stream power, shear velocity, fall velocity, kinematic viscosity and sediment size. The sand equation, which should be used for median sizes () less than 2mm is:
7:2.2.26
and the gravel equation for D50 between 2mm and 10mm:
7:2.2.27
where – Sediment concentration in parts per million by weight, – fall velocity of the median size sediment (m/s), – Kinematic viscosity (m/s), - Shear velocity (m/s), – mean channel velocity (m/s), – Critical velocity (m/s), and – Energy slope, assumed to be the same as bed slope (m/m).
From the above equations, in ppm is divided by 10 to convert in to concentration by weight. Using eq. 7:2.2.32, is converted in to maximum bed load concentration() in metric tons/m.
By using one of the four models discussed above, the maximum sediment transport capacity of the channel can be calculated. The excess transport capacity available in the channel is calculated as:
7:2.2.28
If is < 0 then the channel does not have the capacity to transport eroded sediments and hence there will be no bank and bed erosion. If is > 0 then the channel has the transport capacity to support eroded bank and bed sediments. Before channel degradation bank erosion, the deposited sediment during the previous time steps will be resuspended and removed. The excess transport capacity available after resuspending the deposited sediments is removed from channel bank and channel bed.
7:2.2.29
7:2.2.30
7:2.2.31
where – is the amount of bank erosion in metric tons, – is the amount of bed erosion in metric tons, – is the total channel erosion from channel bank and bed in metric tons. Particle size contribution from bank erosion is calculated as:
7:2.2.32
where – is the amount of sand eroded from bank in metric tons, – is the amount of silt eroded from bank, – is the amount of clay eroded from bank, – is the amount of gravel eroded from bank; , ,, and – fraction of sand, silt, clay and gravel content of bank in channel . Similarly the particle size contribution from bed erosion is also calculated separately.
The particle size distribution indicated in Table 7:2-3 for bank and bed sediments is assumed by the model based on the median sediment size (,) input by the user. If the median sediment size is not specified by the user, then the model assumed and to be 50 micrometer (0.05 mm) equivalent to the silt size particles.
Table 7:2-3. Particle size distribution assumed by SWAT+ based on the median size of bank and bed sediments
Deposition of bedload sediments in channel is modeled using the following equations (Einstein 1965; Pemberton and Lara 1971):
7:2.2.33
where - is the percentage of sediments ( - sand, silt, clay, and gravel) that get deposited, – length of the reach (km), – fall velocity of the sediment particles in m/s (eq. 7:2.2.31), – mean flow velocity in the reach (m/s), and – is the depth of water in the channel (m).The particle size diameters assumed to calculate the fall velocity are 0.2mm, 0.01mm, 0.002mm, 2 mm, 0.0300, 0.500 respectively for sand, silt, clay, gravel, small aggregate and large aggregate.
It should be kept in mind that small aggregate and large aggregates in the bedload are contributed only from overland erosion and routed through the channel. Gravel is contributed only from channel erosion. Only sand, silt and clay in the bedload is contributed both from overland and channel erosion. If the water in the channel enters the floodplain during large storm events, then silt and clay particles are deposited in the floodplains and the main channel in proportion to their flow cross-sectional areas. Silt and clay deposited in the flooplain are assumed to be lost from the system and is not resuspended during subsequent time steps as in the main channel. The complete mass balance equations for sediment routing are as follows:
7:2.2.34
where is the amount of suspended sediment in the reach (metric tons), is the amount of suspended sediment entering the reach at the beginning of the time period (metric tons), is the amount of sediment deposited in the reach segment (metric tons), and is the amount of sediment contribution from bank and bed erosion in the reach segment (metric tons).
The amount of sediment transported out of the reach is calculated:
7:2.2.35
where is the amount of sediment transported out of the reach (metric tons), is the amount of suspended sediment in the reach (metric tons), is the volume of outflow during the time step (m HO), and is the volume of water in the reach segment (m HO).
The local settling rate of algae represents the net removal of algae due to settling. The user defines the local settling rate of algae at 20C. The settling rate is adjusted to the local water temperature using the relationship:
7:3.1.18
where is the local settling rate of algae (m/day or m/hr), is the local algal settling rate at 20C (m/day or m/hr), and is the average water temperature for the day or hour (C).
Table 7:3-1: SWAT+ input variables used in algae calculations.
Variable Name | Definition | File Name |
---|
The local specific growth rate of algae is a function of the availability of required nutrients, light and temperature. SWAT+ first calculates the growth rate at 20°C and then adjusts the growth rate for water temperature. The user has three options for calculating the impact of nutrients and light on growth: multiplicative, limiting nutrient, and harmonic mean.
The multiplicative option multiplies the growth factors for light, nitrogen and phosphorus together to determine their net effect on the local algal growth rate. This option has its biological basis in the mutiplicative effects of enzymatic processes involved in photosynthesis:
7:3.1.3
where is the local specific algal growth rate at 20°C (day or hr), is the maximum specific algal growth rate (day or hr), is the algal growth attenuation factor for light, is the algal growth limitation factor for nitrogen, and is the algal growth limitation factor for phosphorus. The maximum specific algal growth rate is specified by the user.
The limiting nutrient option calculates the local algal growth rate as limited by light and either nitrogen or phosphorus. The nutrient/light effects are multiplicative, but the nutrient/nutrient effects are alternate.
The algal growth rate is controlled by the nutrient with the smaller growth limitation factor. This approach mimics Liebig’s law of the minimum:
7:3.1.4
where is the local specific algal growth rate at 20°C (day or hr), is the maximum specific algal growth rate (day or hr), is the algal growth attenuation factor for light, is the algal growth limitation factor for nitrogen, and is the algal growth limitation factor for phosphorus. The maximum specific algal growth rate is specified by the user.
The harmonic mean is mathematically analogous to the total resistance of two resistors in parallel and can be considered a compromise between equations 7:3.1.3 and 7:3.1.4. The algal growth rate is controlled by a multiplicative relation between light and nutrients, while the nutrient/nutrient interactions are represented by a harmonic mean.
7:3.1.5
where is the local specific algal growth rate at 20°C (day or hr), is the maximum specific algal growth rate (day or hr), is the algal growth attenuation factor for light, is the algal growth limitation factor for nitrogen, and is the algal growth limitation factor for phosphorus. The maximum specific algal growth rate is specified by the user.
Calculation of the growth limiting factors for light, nitrogen and phosphorus are reviewed in the following sections.
Algal Growth Limiting Factor for Light.
A number of mathematical relationships between photosynthesis and light have been developed. All relationships show an increase in photosynthetic rate with increasing light intensity up to a maximum or saturation value. The algal growth limiting factor for light is calculated using a Monod half-saturation method. In this option, the algal growth limitation factor for light is defined by a Monod expression:
7:3.1.6
where is the algal growth attenuation factor for light at depth , is the photosynthetically-active light intensity at a depth below the water surface (MJ/m-hr), and is the half-saturation coefficient for light (MJ/m-hr). Photosynthetically-active light is radiation with a wavelength between 400 and 700 nm. The half-saturation coefficient for light is defined as the light intensity at which the algal growth rate is 50% of the maximum growth rate. The half-saturation coefficient for light is defined by the user.
Photosynthesis is assumed to occur throughout the depth of the water column. The variation in light intensity with depth is defined by Beer’s law:
For daily simulations, an average value of the algal growth attenuation factor for light calculated over the diurnal cycle must be used. This is calculated using a modified form of equation 7:3.1.8:
Algal Growth Limiting Factor for Nutrients
The algal growth limiting factor for nitrogen is defined by a Monod expression. Algae are assumed to use both ammonia and nitrate as a source of inorganic nitrogen.
The algal growth limiting factor for phosphorus is also defined by a Monod expression.
Chlorophyll is assumed to be directly proportional to the concentration of phytoplanktonic algal biomass.
7:3.1.1
where is the chlorophyll a concentration (μg chla/L), is the ratio of chlorophyll to algal biomass (μg chla/mg alg), and is the algal biomass concentration (mg alg/L).
The local respiration or death rate of algae represents the net effect of three processes: the endogenous respiration of algae, the conversion of algal phosphorus to organic phosphorus, and the conversion of algal nitrogen to organic nitrogen. The user defines the local respiration rate of algae at 20C. The respiration rate is adjusted to the local water temperature using the relationship:
7:3.1.17
where is the local respiration rate of algae (day or hr), is the local algal respiration rate at 20C (day or hr), and is the average water temperature for the day or hour (C).
Growth and decay of algae/chlorophyll is calculated as a function of the growth rate, the respiration rate, the settling rate and the amount of algae present in the stream. The change in algal biomass for a given day is:
7:3.1.2
where is the change in algal biomass concentration (mg alg/L), is the local specific growth rate of algae (day or hr), is the local respiration or death rate of algae (day or hr), is the local settling rate for algae (m/day or m/hr), is the depth of water in the channel (m), is the algal biomass concentration at the beginning of the day (mg alg/L), and is the flow travel time in the reach segment (day or hr). The calculation of depth and travel time are reviewed in Chapter 7:1.
The amount of nitrite () in the stream will be increased by the conversion of to and decreased by the conversion of to . The conversion of to occurs more rapidly than the conversion of to , so the amount of nitrite present in the stream is usually very small. The change in nitrite for a given day is:
7:3.2.8
where is the change in nitrite concentration (mg N/L), is the rate constant for biological oxidation of ammonia nitrogen (day or hr), is the ammonium concentration at the beginning of the day (mg N/L), is the rate constant for biological oxidation of nitrite to nitrate (day or hr), is the nitrite concentration at the beginning of the day (mg N/L), and is the flow travel time in the reach segment (day or hr). The local rate constant for biological oxidation of ammonia nitrogen is calculated with equation 7:3.2.5. The calculation of travel time is reviewed in Chapter 7:1.
The rate constant for biological oxidation of nitrite to nitrate will vary as a function of in-stream oxygen concentration and temperature. The rate constant is calculated:
7:3.2.9
where is the rate constant for biological oxidation of nitrite to nitrate (day or hr), is the rate constant for biological oxidation of nitrite to nitrate at 20C (day or hr), is the dissolved oxygen concentration in the stream (mg O/L), and is the average water temperature for the day or hour (C). The second term on the right side of equation 7:3.2.9, , is a nitrification inhibition correction factor. This factor inhibits nitrification at low dissolved oxygen concentrations.
The amount of organic nitrogen in the stream may be increased by the conversion of algal biomass nitrogen to organic nitrogen. Organic nitrogen concentration in the stream may be decreased by the conversion of organic nitrogen to NH or the settling of organic nitrogen with sediment. The change in organic nitrogen for a given day is:
7:3.2.1
where is the change in organic nitrogen concentration (mg N/L), is the fraction of algal biomass that is nitrogen (mg N/mg alg biomass), is the local respiration or death rate of algae (day or hr), is the algal biomass concentration at the beginning of the day (mg alg/L), is the rate constant for hydrolysis of organic nitrogen to ammonia nitrogen (day or hr), is the organic nitrogen concentration at the beginning of the day (mg N/L), is the rate coefficient for organic nitrogen settling (day or hr), and is the flow travel time in the reach segment (day or hr). The fraction of algal biomass that is nitrogen is user-defined. Equation 7:3.1.17 describes the calculation of the local respiration rate of algae. The calculation of travel time is reviewed in Chapter 7:1.
The user defines the local rate constant for hydrolysis of organic nitrogen to NH at 20C. The organic nitrogen hydrolysis rate is adjusted to the local water temperature using the relationship:
7:3.2.2
where is the local rate constant for hydrolysis of organic nitrogen to NH (day or hr), is the local rate constant for hydrolysis of organic nitrogen to NH at 20C (day or hr), and is the average water temperature for the day or hour (C).
The user defines the rate coefficient for organic nitrogen settling at 20C. The organic nitrogen settling rate is adjusted to the local water temperature using the relationship:
7:3.2.3
where is the local settling rate for organic nitrogen (day or hr), is the local settling rate for organic nitrogen at 20C (day or hr), and is the average water temperature for the day or hour (C).
The carbonaceous oxygen demand (CBOD) of the water is the amount of oxygen required to decompose the organic material in the water. CBOD is added to the stream with loadings from surface runoff or point sources. Within the stream, two processes are modeled that impact CBOD levels, both of which serve to reduce the carbonaceous biological oxygen demand as the water moves downstream. The change in CBOD within the stream on a given day is calculated:
7:3.4.1
where is the change in carbonaceous biological oxygen demand concentration (mg CBOD/L), is the CBOD deoxygenation rate (day or hr), is the carbonaceous biological oxygen demand concentration (mg CBOD/L), is the settling loss rate of CBOD (day or hr), and is the flow travel time in the reach segment (day or hr). The calculation of travel time is reviewed in Chapter 7:1.
The user defines the carbonaceous deoxygenation rate at 20C. The CBOD deoxygenation rate is adjusted to the local water temperature using the relationship:
7:3.4.2
where is the CBOD deoxygenation rate (day or hr), is the CBOD deoxygenation rate at 20C (day or hr), and is the average water temperature for the day or hour (C).
The user defines the settling loss rate of CBOD at 20C. The settling loss rate is adjusted to the local water temperature using the relationship:
7:3.4.3
where is the settling loss rate of CBOD (day or hr), is the settling loss rate of CBOD at 20C (day or hr), and is the average water temperature for the day or hour (C).
Table 7:3-4: SWAT+ input variables used in in-stream CBOD calculations.
Variable Name | Definition | File Name |
---|
The amount of soluble, inorganic phosphorus in the stream may be increased by the mineralization of organic phosphorus and diffusion of inorganic phosphorus from the streambed sediments. The soluble phosphorus concentration in the stream may be decreased by the uptake of inorganic P by algae. The change in soluble phosphorus for a given day is:
7:3.3.4
where is the change in solution phosphorus concentration (mg P/L), is the rate constant for mineralization of organic phosphorus (day or hr), is the organic phosphorus concentration at the beginning of the day (mg P/L), is the benthos (sediment) source rate for soluble P (mg P/m-day or mg P/m-hr), is the depth of water in the channel (m), is the fraction of algal biomass that is phosphorus (mg P/mg alg biomass), is the local growth rate of algae (day or hr), is the algal biomass concentration at the beginning of the day (mg alg/L), and is the flow travel time in the reach segment (day or hr). The local rate constant for mineralization of organic phosphorus is calculated with equation 7:3.3.2. Section 7:3.1.2.1 describes the calculation of the local growth rate of algae. The calculation of depth and travel time is reviewed in Chapter 7:1.
The user defines the benthos source rate for soluble P at 20C. The benthos source rate for soluble phosphorus is adjusted to the local water temperature using the relationship:
7:3.3.5
where is the benthos (sediment) source rate for soluble P (mg P/m-day or mg P/m-hr), is the benthos (sediment) source rate for soluble phosphorus at 20C (mg P/m-day or mg P/m-hr), and is the average water temperature for the day or hour (C).
Table 7:3-3: SWAT+ input variables used in in-stream phosphorus calculations.
Variable Name | Definition | File Name |
---|
The amount of organic phosphorus in the stream may be increased by the conversion of algal biomass phosphorus to organic phosphorus. Organic phosphorus concentration in the stream may be decreased by the conversion of organic phosphorus to soluble inorganic phosphorus or the settling of organic phosphorus with sediment. The change in organic phosphorus for a given day is:
7:3.3.1
where is the change in organic phosphorus concentration (mg P/L), is the fraction of algal biomass that is phosphorus (mg P/mg alg biomass), is the local respiration or death rate of algae (day or hr), is the algal biomass concentration at the beginning of the day (mg alg/L), is the rate constant for mineralization of organic phosphorus (day or hr), is the organic phosphorus concentration at the beginning of the day (mg P/L), is the rate coefficient for organic phosphorus settling (day or hr), and is the flow travel time in the reach segment (day or hr). The fraction of algal biomass that is phosphorus is user-defined. Equation 7:3.1.17 describes the calculation of the local respiration rate of algae. The calculation of travel time is reviewed in Chapter 7:1.
The user defines the local rate constant for mineralization of organic phosphorus at 20C. The organic phosphorus mineralization rate is adjusted to the local water temperature using the relationship:
7:3.3.2
where is the local rate constant for organic phosphorus mineralization (day or hr), is the local rate constant for organic phosphorus mineralization at 20C (day or hr), and is the average water temperature for the day or hour (C).
The user defines the rate coefficient for organic phosphorus settling at 20C. The organic phosphorus settling rate is adjusted to the local water temperature using the relationship:
7:3.3.3
where is the local settling rate for organic phosphorus (day or hr), is the local settling rate for organic phosphorus at 20C (day or hr), and is the average water temperature for the day or hour (C).
The amount of ammonium (NH) in the stream may be increased by the mineralization of organic nitrogen and diffusion of ammonium from the streambed sediments. The ammonium concentration in the stream may be decreased by the conversion of NH to NO or the uptake of NH by algae. The change in ammonium for a given day is:
7:3.2.4
where is the change in ammonium concentration (mg N/L), is the rate constant for hydrolysis of organic nitrogen to ammonia nitrogen (day or hr), is the organic nitrogen concentration at the beginning of the day (mg N/L), is the rate constant for biological oxidation of ammonia nitrogen (day or hr), is the ammonium concentration at the beginning of the day (mg N/L), is the benthos (sediment) source rate for ammonium (mg N/m-day or mg N/m-hr), is the depth of water in the channel (m), is the fraction of algal nitrogen uptake from ammonium pool, is the fraction of algal biomass that is nitrogen (mg N/mg alg biomass), is the local growth rate of algae (day or hr), is the algal biomass concentration at the beginning of the day (mg alg/L), and is the flow travel time in the reach segment (day or hr). The local rate constant for hydrolysis of organic nitrogen to NH is calculated with equation 7:3.2.2. Section 7:3.1.2.1 describes the calculation of the local growth rate of algae. The calculation of depth and travel time is reviewed in Chapter 7:1.
The rate constant for biological oxidation of ammonia nitrogen will vary as a function of in-stream oxygen concentration and temperature. The rate constant is calculated:
7:3.2.5
where is the rate constant for biological oxidation of ammonia nitrogen (day or hr), is the rate constant for biological oxidation of ammonia nitrogen at 20C (day or hr), is the dissolved oxygen concentration in the stream (mg O/L), and is the average water temperature for the day or hour (C). The second term on the right side of equation 7:3.2.5,, is a nitrification inhibition correction factor. This factor inhibits nitrification at low dissolved oxygen concentrations.
The user defines the benthos source rate for ammonium at 20C. The benthos source rate for ammonium nitrogen is adjusted to the local water temperature using the relationship:
7:3.2.6
where is the benthos (sediment) source rate for ammonium (mg N/m-day or mg N/m2-hr), is the benthos (sediment) source rate for ammonium nitrogen at 20C (mg N/m-day or mg N/m-hr), and is the average water temperature for the day or hour (C).
The fraction of algal nitrogen uptake from ammonium pool is calculated:
7:3.2.7
where is the fraction of algal nitrogen uptake from ammonium pool, is the preference factor for ammonia nitrogen, is the ammonium concentration in the stream (mg N/L), and is the nitrate concentration in the stream (mg N/L).
The amount of oxygen that can be dissolved in water is a function of temperature, concentration of dissolved solids, and atmospheric pressure. An equation developed by APHA (1985) is used to calculate the saturation concentration of dissolved oxygen:
7:3.5.3
where is the equilibrium saturation oxygen concentration at 1.00 atm (mg O/L), and is the water temperature in Kelvin (273.15+C).
Pesticides in both the particulate and dissolved forms are subject to degradation. The amount of pesticide that is removed from the water via degradation is:
7:4.1.6
where is the amount of pesticide removed from the water via degradation (mg pst), is the rate constant for degradation or removal of pesticide in the water (1/day), is the amount of pesticide in the water at the beginning of the day (mg pst), and is the flow travel time (days). The rate constant is related to the aqueous half-life:
7:4.1.7
where is the rate constant for degradation or removal of pesticide in the water (1/day), and is the aqueous half-life for the pesticide (days).
An adequate dissolved oxygen concentration is a basic requirement for a healthy aquatic ecosystem. Dissolved oxygen concentrations in streams are a function of atmospheric reareation, photosynthesis, plant and animal respiration, benthic (sediment) demand, biochemical oxygen demand, nitrification, salinity, and temperature. The change in dissolved oxygen concentration on a given day is calculated:
7:3.5.1
where is the change in dissolved oxygen concentration (mg O/L), is the reaeration rate for Fickian diffusion (day or hr), is the saturation oxygen concentration (mg O/L), is the dissolved oxygen concentration in the stream (mg O/L), is the rate of oxygen production per unit of algal photosynthesis (mg O/mg alg), is the local specific growth rate of algae (day or hr), is the rate of oxygen uptake per unit of algae respired (mg O/mg alg), is the local respiration or death rate of algae (day or hr), is the algal biomass concentration at the beginning of the day (mg alg/L), is the CBOD deoxygenation rate (day or hr), is the carbonaceous biological oxygen demand concentration (mg CBOD/L), is the sediment oxygen demand rate (mg O/(m.day) or mg O/(m.hr)), is the depth of water in the channel (m), is the rate of oxygen uptake per unit NH oxidation (mg O/mg N), is the rate constant for biological oxidation of ammonia nitrogen (day or hr), is the ammonium concentration at the beginning of the day (mg N/L), is the rate of oxygen uptake per unit oxidation (mg O/mg N), is the rate constant for biological oxidation of nitrite to nitrate (day or hr), is the nitrite concentration at the beginning of the day (mg N/L) and is the flow travel time in the reach segment (day or hr). The user defines the rate of oxygen production per unit algal photosynthesis, the rate of oxygen uptake per unit algal respiration, the rate of oxygen uptake per unit NH oxidation and rate of oxygen uptake per unit oxidation. Section 7:3.1.2.1 describes the calculation of the local growth rate of algae while equation 7:3.1.17 describes the calculation of the local respiration rate of algae. The rate constant for biological oxidation of NH is calculated with equation 7:3.2.5 while the rate constant for oxidation is determined with equation 7:3.2.9. The CBOD deoxygenation rate is calculated using equation 7:3.4.2. The calculation of depth and travel time are reviewed in Chapter 7:1.
The user defines the sediment oxygen demand rate at 20C. The sediment oxygen demand rate is adjusted to the local water temperature using the relationship:
7:3.5.2
where is the sediment oxygen demand rate (mg O/(m.day) or mg O/(m.hr)), is the sediment oxygen demand rate at 20C (mg O/(m.day) or mg O/(m.hr)), and is the average water temperature for the day or hour (C).
The amount of nitrate () in the stream may be increased by the oxidation of . The nitrate concentration in the stream may be decreased by the uptake of by algae. The change in nitrate for a given day is:
7:3.2.10
where is the change in nitrate concentration (mg N/L), is the rate constant for biological oxidation of nitrite to nitrate (day or hr), is the nitrite concentration at the beginning of the day (mg N/L), is the fraction of algal nitrogen uptake from ammonium pool, is the fraction of algal biomass that is nitrogen (mg N/mg alg biomass), is the local growth rate of algae (day or hr), is the algal biomass concentration at the beginning of the day (mg alg/L), and is the flow travel time in the reach segment (day or hr). The local rate constant for biological oxidation of nitrite to nitrate is calculated with equation 7:3.2.9 while the fraction of algal nitrogen uptake from ammonium pool is calculated with equation 7:3.2.7. Section 7:3.1.2.1 describes the calculation of the local growth rate of algae. The calculation of travel time is reviewed in Chapter 7:1.
Table 7:3-2: SWAT+ input variables used in in-stream nitrogen calculations.
Variable Name | Definition | File Name |
---|
The user defines the reaeration rate at 20C. The reaeration rate is adjusted to the local water temperature using the relationship:
7:3.5.4
where is the reaeration rate (day or hr), is the reaeration rate at 20C (day or hr), and is the average water temperature for the day or hour (C).
Numerous methods have been developed to calculate the reaeration rate at 20C, . A few of the methods are listed below. Brown and Barnwell (1987) provide additional methods.
Using field measurements, Churchill, Elmore and Buckingham (1962) derived the relationship:
7:3.5.5
where is the reaeration rate at 20C (day), is the average stream velocity (m/s), and is the average stream depth (m).
O’Connor and Dobbins (1958) incorporated stream turbulence characteristics into the equations they developed. For streams with low velocities and isotropic conditions,
7:3.5.6
where is the reaeration rate at 20C (day), is the molecular diffusion coefficient (m/day), is the average stream velocity (m/s), and is the average stream depth (m). For streams with high velocities and nonisotropic conditions,
7:3.5.7
where is the reaeration rate at 20C (day), is the molecular diffusion coefficient (m/day), is the slope of the streambed (m/m), and is the average stream depth (m). The molecular diffusion coefficient is calculated
7:3.5.8
where is the molecular diffusion coefficient (m/day), and is the average water temperature (C).
Owens et al. (1964) developed an equation to determine the reaeration rate for shallow, fast moving streams where the stream depth is 0.1 to 3.4 m and the velocity is 0.03 to 1.5 m/s.
7:3.5.9
where is the reaeration rate at 20C (day), is the average stream velocity (m/s), and is the average stream depth (m).
Pesticides will partition into particulate and dissolved forms. The fraction of pesticide in each phase is a function of the pesticide’s partition coefficient and the reach segment’s suspended solid concentration:
7:4.1.1
7:4.1.2
where is the fraction of total pesticide in the dissolved phase, is the fraction of total pesticide in the particulate phase, is the pesticide partition coefficient (m/g), and is the concentration of suspended solids in the water (g/m).
The pesticide partition coefficient can be estimated from the octanol-water partition coefficient (Chapra, 1997):
7:4.1.3
where is the pesticide partition coefficient (m/g) and is the pesticide’s octanol-water partition coefficient (mg m(mg m)). Values for the octanol-water partition coefficient have been published for many chemicals. If a published value cannot be found, it can be estimated from solubility (Chapra, 1997):
7:4.1.4
where is the pesticide solubility (moles/L). The solubility in these units is calculated:
7:4.1.5
where is the pesticide solubility (moles/L), is the pesticide solubility (mg/L) and is the molecular weight (g/mole).
Pesticide is removed from the reach segment in outflow. The amount of dissolved and particulate pesticide removed from the reach segment in outflow is:
7:4.1.13
7:4.1.14
where is the amount of dissolved pesticide removed via outflow (mg pst), is the amount of particulate pesticide removed via outflow (mg pst), is the rate of outflow from the reach segment (m HO/day), is the fraction of total pesticide in the dissolved phase, is the fraction of total pesticide in the particulate phase, is the amount of pesticide in the water (mg pst), and is the volume of water in the reach segment (m HO).
Table 7:4-1: SWAT+ input variables that pesticide partitioning.
Variable Name | Definition | Input File |
---|
As in the water layer, pesticides in the sediment layer will partition into particulate and dissolved forms. Calculation of the solid-liquid partitioning in the sediment layer requires a suspended solid concentration. The “concentration” of solid particles in the sediment layer is defined as:
7:4.2.1
where is the “concentration” of solid particles in the sediment layer (g/m), is the mass of solid particles in the sediment layer (g) and is the total volume of the sediment layer (m).
Mass and volume are also used to define the porosity and density of the sediment layer. In the sediment layer, porosity is the fraction of the total volume in the liquid phase:
7:4.2.2
where is the porosity, is the volume of water in the sediment layer (m) and is the total volume of the sediment layer (m). The fraction of the volume in the solid phase can then be defined as:
7:4.2.3
where is the porosity, is the volume of solids in the sediment layer (m) and is the total volume of the sediment layer (m).
The density of sediment particles is defined as:
7:4.2.4
where is the particle density (g/m), is the mass of solid particles in the sediment layer (g), and is the volume of solids in the sediment layer (m).
Solving equation 7:4.2.3 for and equation 7:4.2.4 for and substituting into equation 7:4.2.1 yields:
7:4.2.5
where is the “concentration” of solid particles in the sediment layer (g/m), is the porosity, and is the particle density (g/m).
Assuming and g/m, the “concentration” of solid particles in the sediment layer is g/m.
The fraction of pesticide in each phase is then calculated:
7:4.2.6
Pesticides in both the particulate and dissolved forms are subject to degradation. The amount of pesticide that is removed from the sediment via degradation is:
7:4.2.8
where is the amount of pesticide removed from the sediment via degradation (mg pst), is the rate constant for degradation or removal of pesticide in the sediment (1/day), and is the amount of pesticide in the sediment (mg pst). The rate constant is related to the sediment half-life:
7:4.2.9
where is the rate constant for degradation or removal of pesticide in the sediment (1/day), and is the sediment half-life for the pesticide (days).
Pesticide in the sediment layer is available for resuspension. The amount of pesticide that is removed from the sediment via resuspension is:
7:4.2.10
where is the amount of pesticide removed via resuspension (mg pst), is the resuspension velocity (m/day), is the flow depth (m), is the amount of pesticide in the sediment (mg pst), and is the flow travel time (days). Pesticide removed from the sediment layer by resuspension is added to the water layer.
Pesticide in the particulate phase may be removed from the water layer by settling. Settling transfers pesticide from the water to the sediment layer. The amount of pesticide that is removed from the water via settling is:
7:4.1.12
where is the amount of pesticide removed from the water due to settling (mg pst), is the settling velocity (m/day), is the flow depth (m), is the fraction of total pesticide in the particulate phase, is the amount of pesticide in the water (mg pst), and is the flow travel time (days).
Pesticide in the sediment layer may be lost by burial. The amount of pesticide that is removed from the sediment via burial is:
7:4.2.13
where is the amount of pesticide removed via burial (mg pst), is the burial velocity (m/day), is the depth of the active sediment layer (m), and is the amount of pesticide in the sediment (mg pst).
Table 7:4-2: SWAT+ input variables related to pesticide in the sediment.
Variable Name | Definition | Input File |
---|
Pesticide in the dissolved phase is available for volatilization. The amount of pesticide removed from the water via volatilization is:
7:4.1.8
where is the amount of pesticide removed via volatilization (mg pst), is the volatilization mass-transfer coefficient (m/day), is the flow depth (m), is the fraction of total pesticide in the dissolved phase, is the amount of pesticide in the water (mg pst), and is the flow travel time (days).
The volatilization mass-transfer coefficient can be calculated based on Whitman’s two-film or two-resistance theory (Whitman, 1923; Lewis and Whitman, 1924 as described in Chapra, 1997). While the main body of the gas and liquid phases are assumed to be well-mixed and homogenous, the two-film theory assumes that a substance moving between the two phases encounters maximum resistance in two laminar boundary layers where transfer is a function of molecular diffusion. In this type of system the transfer coefficient or velocity is:
7:4.1.9
where is the volatilization mass-transfer coefficient (m/day), is the mass-transfer velocity in the liquid laminar layer (m/day), is the mass-transfer velocity in the gaseous laminar layer (m/day), is Henry’s constant (atm m mole), is the universal gas constant ( atm m (K mole)), and is the temperature (K).
For rivers where liquid flow is turbulent, the transfer coefficients are estimated using the surface renewal theory (Higbie, 1935; Danckwerts, 1951; as described by Chapra, 1997). The surface renewal model visualizes the system as consisting of parcels of water that are brought to the surface for a period of time. The fluid elements are assumed to reach and leave the air/water interface randomly, i.e. the exposure of the fluid elements to air is described by a statistical distribution. The transfer velocities for the liquid and gaseous phases are calculated:
7:4.1.10
where is the mass-transfer velocity in the liquid laminar layer (m/day), is the mass-transfer velocity in the gaseous laminar layer (m/day), is the liquid molecular diffusion coefficient (m/day), is the gas molecular diffusion coefficient (m/day), is the liquid surface renewal rate (1/day), and is the gaseous surface renewal rate (1/day).
O’Connor and Dobbins (1958) defined the surface renewal rate as the ratio of the average stream velocity to depth.
7:4.1.11
where is the liquid surface renewal rate (1/day), is the average stream velocity (m/s) and is the depth of flow (m).
Reareation will occur when water falls over a dam, weir, or other structure in the stream. To simulate this form of reaeration, a “structure” command line is added in the watershed configuration file (.fig) at every point along the stream where flow over a structure occurs.
The amount of reaeration that occurs is a function of the oxygen deficit above the structure and a reaeration coefficient:
7:3.5.10
where is the change in dissolved oxygen concentration (mg O/L), is the oxygen deficit above the structure (mg O/L), is the oxygen deficit below the structure (mg O/L), and is the reaeration coefficient.
The oxygen deficit above the structure, , is calculated:
7:3.5.11
where is the equilibrium saturation oxygen concentration (mg O/L), and is the dissolved oxygen concentration in the stream (mg O/L).
Butts and Evans (1983) documents the following relationship that can be used to estimate the reaeration coefficient:
7:3.5.12
where is the reaeration coefficient, is an empirical water quality factor, is an empirical dam aeration coefficient, is the height through which water falls (m), and is the average water temperature (C).
The empirical water quality factor is assigned a value based on the condition of the stream:
= 1.80 in clean water
= 1.60 in slightly polluted water
= 1.00 in moderately polluted water
= 0.65 in grossly polluted water
The empirical dam aeration coefficient is assigned a value based on the type of structure:
= 0.70 to 0.90 for flat broad crested weir
Table 7:3-5: SWAT+ input variables used in in-stream oxygen calculations.
Pesticide in the dissolved phase is available for diffusion. Diffusion transfers pesticide between the water and sediment layers. The direction of movement is controlled by the pesticide concentration. Pesticide will move from areas of high concentration to areas of low concentration. The amount of pesticide that is transferred between the water and sediment by diffusion is:
7:4.2.11
where is the amount of pesticide transferred between the water and sediment by diffusion (mg pst), is the rate of diffusion or mixing velocity (m/day), is the flow depth (m), is the fraction of total sediment pesticide in the dissolved phase, is the amount of pesticide in the sediment (mg pst), is the fraction of total water layer pesticide in the dissolved phase, is the amount of pesticide in the water (mg pst), and is the flow duration (days). If , is transferred from the sediment to the water layer. If , is transferred from the water to the sediment layer.
The diffusive mixing velocity, , can be estimated from the empirically derived formula (Chapra, 1997):
7:4.2.12
where is the rate of diffusion or mixing velocity (m/day), is the sediment porosity, and is the molecular weight of the pesticide compound.
: Width of channel at top of bank (m)
: Depth of water in channel when filled to bank (m)
: Length of main channel (km)
Variable Name | Definition | File Name |
---|---|---|
7:3.1.7
where is the photosynthetically-active light intensity at a depth below the water surface (MJ/m-hr), is the photosynthetically-active solar radiation reaching the ground/water surface during a specific hour on a given day (MJ/m-hr), is the light extinction coefficient (m), and is the depth from the water surface (m). Substituting equation 7:3.1.7 into equation 7:3.1.6 and integrating over the depth of flow gives:
7:3.1.8
where is the algal growth attenuation factor for light for the water column, is the half-saturation coefficient for light (MJ/m-hr), is the photosynthetically-active solar radiation reaching the ground/water surface during a specific hour on a given day (MJ/m-hr), is the light extinction coefficient (m), and is the depth of water in the channel (m). Equation 7:3.1.8 is used to calculated for hourly routing. The photosynthetically-active solar radiation is calculated:
7:3.1.9
where is the solar radiation reaching the ground during a specific hour on current day of simulation (MJ m h), and is the fraction of solar radiation that is photosynthetically active. The calculation of is reviewed in Chapter 1:1. The fraction of solar radiation that is photosynthetically active is user defined.
7:3.1.10
where is the fraction of daylight hours, is the daylight average photosynthetically-active light intensity (MJ/m-hr) and all other variables are defined previously. The fraction of daylight hours is calculated:
7:3.1.11
where is the daylength (hr). is calculated:
7:3.1.12
where is the fraction of solar radiation that is photosynthetically active, is the solar radiation reaching the water surface in a given day (MJ/m), and is the daylength (hr). Calculation of and are reviewed in Chapter 1:1.
The light extinction coefficient, , is calculated as a function of the algal density using the nonlinear equation:
7:3.1.13
where is the non-algal portion of the light extinction coefficient (), is the linear algal self shading coefficient (, is the nonlinear algal self shading coefficient , is the ratio of chlorophyll to algal biomass ( chla/mg alg), and is the algal biomass concentration (mg alg/L).
Equation 7:3.1.13 allows a variety of algal, self-shading, light extinction relationships to be modeled. When , no algal self-shading is simulated. When and , linear algal self-shading is modeled. When and are set to a value other than 0, non-linear algal self-shading is modeled. The Riley equation (Bowie et al., 1985) defines and .
7:3.1.14
where is the algal growth limitation factor for nitrogen, is the concentration of nitrate in the reach (mg N/L), is the concentration of ammonium in the reach (mg N/L), and is the Michaelis-Menton half-saturation constant for nitrogen (mg N/L).
7:3.1.15
where is the algal growth limitation factor for phosphorus, is the concentration of phosphorus in solution in the reach (mg P/L), and is the Michaelis-Menton half-saturation constant for phosphorus (mg P/L).
The Michaelis-Menton half-saturation constant for nitrogen and phosphorus define the concentration of N or P at which algal growth is limited to 50% of the maximum growth rate. Users are allowed to set these values. Typical values for range from 0.01 to 0.30 mg N/L while will range from 0.001 to 0.05 mg P/L.
Once the algal growth rate at 20C is calculated, the rate coefficient is adjusted for temperature effects using a Streeter-Phelps type formulation:
7:3.1.16
where is the local specific growth rate of algae (day or hr), is the local specific algal growth rate at 20C (day or hr), and is the average water temperature for the day or hour (C).
7:4.2.7
where is the fraction of total sediment pesticide in the dissolved phase, is the fraction of total sediment pesticide in the particulate phase, is the porosity, is the particle density (g/m), and K is the pesticide partition coefficient (m/g). The pesticide partition coefficient used for the water layer is also used for the sediment layer.
= 1.05 for sharp crested weir with straight slope face
= 0.80 for sharp crested weir with vertical face
= 0.05 for sluice gates with submerged discharge
Variable Name | Definition | File Name |
---|
EVRCH
: Reach evaporation adjustment factor
.bsn
CH_L(2)
: Length of main channel (km)
.rte
CH_K(2)
: Effective hydraulic conductivity of channel (mm/hr)
.rte
CH_L(2)
: Length of main channel (km)
.rte
Heavy metals are pollutants that are increasingly under scrutiny. Most heavy metals can exist in a number of different valence states and the solubility of a heavy metal is often dependent on the valence state it is in. The complexity of the processes affecting heavy metal solubility make modeling these processes directly unrealistic. At this time, SWAT+ allows heavy metal loadings to be added to the stream network in point source loading inputs. SWAT+ currently routes the heavy metals through the channel network, but includes no algorithms to model in-stream processes. Simple mass balance equations are used to determine the movement of heavy metals through the river network.
In sediment channel routing, the maximum concentration of sediment that can be transported by the water, , (ton/m or kg/L) is compared to the concentration of sediment in the reach at the beginning of the time step, (Neitsch et al., 2005).
If < , resuspension is the dominant process in the reach segment and the net amount of sediment reentrained is calculated:
7:5.2.1
where is the amount of sediment reentrained in the reach segment (metric tons), is the maximum concentration of sediment that can be transported by the water (ton sediment/m HO or kg sediment/L HO), is the initial sediment concentration in the reach (ton sediment/m HO or kg sediment/L HO), is the volume of water in the reach segment (m HO), is the channel erodibility factor (cm/hr/Pa), and is the channel cover factor. When sediment resuspends, both bacteria in sediment solution and on sediment particles are released, and the net amount of bacteria released from streambed is calculated:
7:5.2.2
where is the amount of bacteria released from streambed in the reach segment (# cfu), is the amount of sediment reentrained in the reach segment (metric tons), and is the concentration of bacteria in streambed in the reach segment (# cfu/ton sediment). Bacteria concentration in streambed is calculated by the empirical regression equation, logarithmic sine function of the days of year:
7:5.2.3
where is the concentration of bacteria in streambed (# cfu/ton sediment), day is the days of year, and through are the regression coefficients in streambed bacteria concentration equation.
If > , deposition is the dominant process in the reach segment and the net amount of sediment deposited is calculated:
7:5.2.4
where is the amount of sediment deposited in the reach segment (metric tons), is the initial sediment concentration in the reach (ton sediment/m HO or kg sediment/L HO), is the maximum concentration of sediment that can be transported by the water (ton sediment/m HO or kg sediment/L HO), and is the volume of water in the reach segment (m HO). When suspended sediment deposits, bacteria on settling sediment particles are deposited, and the net amount of bacteria settled from stream water is calculated (Bai and Lung, 2005):
7:5.2.5
where is the amount of bacteria settled from stream water in the reach segment (# cfu), is the amount of bacteria in the stream water in the reach segment at the beginning of the time period (# cfu), is the linear partitioning coefficient of bacteria between the suspended sediment and water (m HO/ton sediment or L HO/kg sediment), is the amount of sediment deposited in the reach segment (metric tons), is the volume of water in the reach segment (m HO), and is the initial sediment concentration in the reach (ton sediment/m HO or kg sediment/L HO). The linear partitioning coefficient is calculated from the empirical regression equation (Pachepsky et al., 2006):
7:5.2.6
where is the linear partitioning coefficient of bacteria onto the suspended sediment (m HO/ton sediment or L HO/kg sediment) and is the percentage of clay in suspended sediment in stream water in the reach segment (%). clay normally varies between 2 and 50%.
Once the amount of bacteria released and settled has been calculated, the final amount of sediment in the reach is determined:
7:5.2.7
where is the amount of bacteria in the stream water in the reach segment (# cfu), is the amount of bacteria in the stream water in the reach segment at the beginning of the time period (# cfu), is the amount of bacteria released from streambed in the reach segment (# cfu), and is the amount of bacteria settled from stream water in the reach segment (# cfu).
The final bacteria concentration in the reach is calculated:
7:5.2.8
where is the concentration of bacteria in the stream water in the reach segment (# cfu/100 mL), is the amount of bacteria in the stream water in the reach segment (# cfu), and is the volume of water in the reach segment (m HO).
SWAT+ calculates loading of pathogens and indicator bacteria for pathogens from land areas in the watershed. In the stream, bacteria die-off is the only process modeled.
RK2 | .swq |
AI3 | .wwq |
AI4 | .wwq |
RHOQ | .wwq |
RK1 | .swq |
RK4 | .swq |
AI5 | .wwq |
AI6 | .wwq |
AERATION_COEF | .fig |
The processes described above can be combined into mass balance equations for the well-mixed reach segment and the well-mixed sediment layer: \
7:4.3.1
7:4.3.2
where is the change in pesticide mass in the water layer (mg pst), is the change in pesticide mass in the sediment layer (mg pst), is the pesticide added to the reach segment via inflow (mg pst), is the amount of dissolved pesticide removed via outflow (mg pst), is the amount of particulate pesticide removed via outflow (mg pst), is the amount of pesticide removed from the water via degradation (mg pst), is the amount of pesticide removed via volatilization (mg pst), is the amount of pesticide removed from the water due to settling (mg pst), is the amount of pesticide removed via resuspension (mg pst), is the amount of pesticide transferred between the water and sediment by diffusion (mg pst), is the amount of pesticide removed from the sediment via degradation (mg pst), is the amount of pesticide removed via burial (mg pst).
AI0 | : Ratio of chlorophyll a to algal biomass ( chla/mg alg) | .wwq |
IGROPT | Algal specific growth rate option | .wwq |
MUMAX | : Maximum specific algal growth rate (day) | .wwq |
K_L | : Half-saturation coefficient for light (MJ/m-hr) | .wwq |
TFACT | : Fraction of solar radiation that is photosynthetically active | .wwq |
LAMBDA0 | : Non-algal portion of the light extinction coefficient (m) | .wwq |
LAMBDA1 | : Linear algal self shading coefficient (m (-chla/L)) | .wwq |
LAMBDA2 | : Nonlinear algal self shading coefficient (m(-chla/L)) | .wwq |
K_N | : Michaelis-Menton half-saturation constant for nitrogen (mg N/L) | .wwq |
K_P | : Michaelis-Menton half-saturation constant for phosphorus (mg P/L) | .wwq |
RHOQ | : Local algal respiration rate at 20C (day) | .wwq |
RS1 | : Local algal settling rate at 20C (m/day) | .swq |
RK1 | : CBOD deoxygenation rate at 20C (day) | .swq |
RK3 | : Settling loss rate of CBOD at 20C (day) | .swq |
AI2 | : Fraction of algal biomass that is phosphorus (mg P/mg alg biomass) | .wwq |
RHOQ | : Local algal respiration rate at 20C (day) | .wwq |
BC4 | : Local rate constant for organic phosphorus mineralization at 20C (day) | .swq |
RS5 | : Local settling rate for organic phosphorus at 20C (day) | .swq |
RS2 | : Benthos (sediment) source rate for soluble phosphorus at 20C (mg P/m-day) | .swq |
AI1 | : Fraction of algal biomass that is nitrogen (mg N/mg alg biomass) | .wwq |
RHOQ | : Local algal respiration rate at 20C (day) | .wwq |
BC3 | : Local rate constant for hydrolysis of organic nitrogen to NH at 20C (day or hr) | .swq |
RS4 | : Local settling rate for organic nitrogen at 20C (day) | .swq |
BC1 | : Rate constant for biological oxidation of ammonia nitrogen at 20C (day) | .swq |
RS3 | : Benthos (sediment) source rate for ammonium nitrogen at 20C (mg N/m-day or mg N/m-hr) | .swq |
P_N | : Preference factor for ammonia nitrogen | .wwq |
BC2 | : Rate constant for biological oxidation of nitrite to nitrate at 20C (day or hr) | .swq |
CHPST_KOC | : Pesticide partition coefficient (m/g) | .swq |
CHPST_REA | : Rate constant for degradation or removal of pesticide in the water (1/day) | .swq |
CHPST_VOL | : Volatilization mass-transfer coefficient (m/day) | .swq |
CHPST_STL | : Pesticide settling velocity (m/day) | .swq |
CHPST_KOC | : Pesticide partition coefficient (m/g) | .swq |
SEDPST_REA | : Rate constant for degradation or removal of pesticide in the sediment (1/day) | .swq |
CHPST_RSP | : Resuspension velocity (m/day) | .swq |
SEDPST_ACT | : Depth of the active sediment layer (m) | .swq |
CHPST_MIX | : Rate of diffusion or mixing velocity (m/day) | .swq |
SEDPST_BRY | : Pesticide burial velocity (m/day) | .swq |
A first order decay function is used to calculate changes in bacteria concentrations (Bowie et al., 1985).
7:5.1.1
7:5.1.2
where is the amount of less persistent bacteria present in the reach on day (#cfu/100mL), is the amount of less persistent bacteria present in the reach on day (#cfu/100mL), is the rate constant for die-off of less persistent bacteria in streams (1/day), is the amount of persistent bacteria present in the reach on day (#cfu/100mL), is the amount of persistent bacteria present in the reach on day (#cfu/100mL), and is the rate constant for die-off of persistent bacteria in streams (1/day).
The die-off rate constants are adjusted for temperature using the equations:
7:5.1.3
7:5.1.4
where , is the rate constant for die-off of less persistent bacteria in streams (1/day), is the rate constant for die-off of persistent bacteria in streams (1/day), is the rate constant for die-off of less persistent bacteria in streams at 20C (1/day), is the rate constant for die-off of persistent bacteria in streams at 20C (1/day), is the temperature adjustment factor for bacteria die-off/re-growth, and is the water temperature (C).
Table 7:5-1: SWAT+ input variables that pertain to bacteria die-off in the stream.
Variable Name | Definition | Input File |
---|---|---|
: Reaeration rate at 20C (day)
: Rate of oxygen production per unit algal photosynthesis (mg O/mg alg)
: Rate of oxygen uptake per unit algal respiration (mg O/mg alg)
: Local algal respiration rate at 20C (day)
: CBOD deoxygenation rate at 20C (day)
:Sediment oxygen demand rate at 20C(mg O/(m.day))
: Rate of oxygen uptake per unit NH oxidation (mg O/mg N)
: Rate of oxygen uptake per unit NO oxidation (mg O/mg N)
: Reaeration coefficient
WDPRCH
: Die-off factor for persistent bacteria in streams at 20C (1/day)
.bsn
WDLPRCH
: Die-off factor for less persistent bacteria in streams at 20C (1/day)
.bsn
THBACT
: Temperature adjustment factor for bacteria die-off/growth
.bsn