Post on 19-May-2022
WRE #349Technical Memorandum
STORMWATER RUNOFF ANDPOLLUTANT MODEL
( SRPM )
MODEL DOCUMENTATION
Version 1.3
by
Richard Z. Xue, P.E.
Resource Assessment DivisionWater Resource Evaluation Department
South Florida Water Management DistrictWest Palm Beach, FL 33406
December 1996
TABLE OF CONTENTS
1, INTRODUCTION ....................................... 1
2. DESCRIPTION OF SRPM MODEL, ......... ........................... 4
3. MODEL ALGORITHMS ............ ......................... 43.1 Hydrology Simulation .................................... 4
3.1.1 Overland flow ........ . ........ ... .... ............ 53.1.2 Evaporation ..................................... 73.1.3 Infiltration ....... ............ ................... 73.1.4 Flow routing .. ......... ................ ..... 10
3.2 Water Quality Simulation ..... . .. . . .... .. ........... 113.2.1 Buildup .................. ............... ....... 123.2.2 Washoff ...................................... 123.2.3 Phosphorus Transpor in Agricultural Areas ........ .......... 13
4. INPUT DATA DESCRIPTION ........... .... ............... ..... . 154.1 Meteorological Data ........... .. ........ ........... . .. . 154.2 Watershed Data ............... ............................ 154.3 Pollutant Buildup/Washoff Data ................................. 16
5. MODEL OUTPUT ............. ... ..... .......... . .... .... ......... 165,1 Tim e Series Output ..................... ...... .. . . .......... 165.2 Other Simulation Outputs .................................. 16
6. MODEL PACKAGE ....... ................ ........... .. . .. .. . .......... 176,1 Programs and Input/Output Files ................... ............. 176.2 Computer Requirements ............................ ........ 18
ACKNOWLEDGMENTS ............... .. . . . .......... . .......... . . ... . . 19
REFERENCES .................................................. 19
APPENDIX A - SRPM INPUT
Hourly Precipitation Data ....... ................. ......... A- 1Hourly Pan Evaporation Data ........... . ............. .. ......... A-2Watershed Data and Pollutant Buildup/Washoff Data .................. A-3
...... ~... ..... ...... _.._._. .. it
APPEND]X B - FORTRAN PROGRAMS
Program to Convert Daily to Hourly Evaporation DataMain Program of the SRPM Model ............ ................. .
APPENDIX C -.. SRPM OUTPUT
Hourly Runoff and Pollutant ConcentrationsDaily Runoff and Pollutant ConcentrationsMonthly Runoff and Pollutant ConcentrationsAnnual Runoff and Pollutant ConcentrationsHourly Mass Balance Data ............Geometric and Hydraulic Data ..........
B-1B-2
C-1C-2C-3C-4C-5C-6
IST' OF TFABLES
Table 1. Components of SRPM Model] Package .............................. 17
.. . . . . . . , , . .. . . . . . . . . . .
i~~~{Jrq ~ ~ ~ ~ ~ai flQ(., rnq/nhj %7I(.' -,,.rk,/O''rr~t"'""
1. ]NTRODUCTION
Stormwater runoff and the associated pollutant loads have gained great attention in
urban planning and design. Evaluation of alternative scenarios in urban development is needed
to assess the environmental impacts on existing watersheds due to changes in land use. A
watershed model is needed for this evaluation and can be used as a tool to predict future water
quality impacts on receiving water and to assess urban stormwater management alternatives
(Greene and Cruise, 1995). Watershed managers and planners need such a tool to estimate the
relative water quality impact of subbasin discharges on downstream locations, which in turn
helps to select appropriate watershed-wide stormwater management control alternatives
(Shamsi, 1996).
Modeling the quantity and quality of stormwater runoff is difficult due to variation of
such factors as land use, human activities, and meteorological conditions (Easter and James,
1994). A few existing watershed models are available to simulate stormwater runoff and its
pollutant loads for different applications. The U.S. EPA (1992) defined three classes of
watershed-scale models: (1) simple methods; (2) mid-.range models; and (3) detailed models.
Simple methods apply simplistic, statistical, and/or empirical equations to simulate annual
averages of runoff and pollutant loads, These methods require historical monitoring data and
their applications are usually limited to the areas for which the models were developed and to
similar watersheds (U.S. EPA, 1992). Mid-range models describe the relationship of pollutant
loadings to hydrologic and erosion processes on a monthly or seasonal basis. These models
consider neither adsorption, degradation and transformation processes of pollutants, nor
pollutant transport within and from the watershed (U.S. EPA, 1992). They can be applied for
relative comparison analysis for watershed planning decisions. Detailed models simulate the
physical hydrologic and pollutant transport and transformation processes in watershed areas
at a small time step to account for effects of storm events, such as Areal Nonpoint Source
U _ 1 ?I
Watershed Environment Response Simulation (ANSWERS) (Beasley and Huggins, 1981), Distributed
Routing Rainfall Runoff Model - Quality (DR3M-QUAL) (Alley and Smith, 1982), Hydrological
Simulation Program - ORTRAllN (ESPF') (U.S. EPA, 1993), Storage, Treatment, Overflow, Runoff
Model (STORM) (U.S. Army Corps of Engineers, 1977), Storm Water Management Model (SWMM)
(Huber et al., 1987), and Simulation for Water Resources in Rural Basins (SWRRB) (Arnold et al.,
1989). Among these detailed models, ANSWERS and SWRRB were developed for agricultural areas;
DR3M- QUALM, STORM, and SWMM were designed for urban areas; ESPF, on the other hand, can
be applied to most complex watershed areas.
The HSPF model simulates hydrolysis, oxidation, photolysis, biodegradation, volatilization,
and sorption processes to describe pollutant generation, transformation and transport from
watersheds to, and within, receiving water bodies (U.S. EPA, 1993). 'l'hree distinct categories such
as pervious lands, impervious lands, and stream channels are considered in HSPF. The model
requires extensive input data, and highly trained personnel and team efforts, so that it is not
suitable for the kind of evaluations being considered here.
DR3M-QUAL, supported by the U.S. Geologic Survey, and STORM, developed by the U.S,
Army Corps of Engineers, are the detailed urban watershed models. Both models were designed
to simulate limited pollutants, which do not meet the requirement of this study to allow users
to define water quality constituents to be simulated. On the other hand, the SWMM model
developed by the U.S. EPA (Huber et al., 1987) does allow users to specify up to ten pollutants
of interest for simulation. However, SWMM also requires extensive input, data and modeling
effort.
As a part of the Alaa Ana/lsi ardaodelig a o/ Urz &falor /der Trenlen/ Systems /or
/feler (udalFy (0'mpIA ce - Psse roproject, a Stormwater Runoff and Eollutant Model (SRPM)
was developed to simulate urban watershed runoff and the associated pollutant loads. The SRPM
model is a simplified version of SWMM, requires minimum input data, and is easier to be
6+Gr 1;177 1 _ICYnrr Aa, -P,,-n-i_,. D.-lh,, M O, F- (,o WDY . ), .,,,- ., ,.h,/.-
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developed for a user-friendly interface with pre- and post- processors. SRPM was designed to
link with a stand alone Best Management Practices Assessment Model (BMPAM) (Xue, 1996) and
to integrate with a geographic information system (GIS) platform. Most hydrology and water
quality simulation algorithms used in SRPM were adapted from the SWMM model. A reservoir flow
routing method (Linsley and Franzini, 1964) was used in SRPM to speed up simulation time,
instead of using the Newton-Raphson technique, to solve a nonlinear equation for hydrology
simulation in SWMM (Nix, 1994). The SRPM model can run under either PC DOS or UNIX
erivirornmenits and provides reasonable simulation results with limited input data.
The objectives of the project" A"2l And/yshkar'dJ/odehg l o///br Slormwate erra eatet
slers for atl'er Quadily Cozymplance - Phase 7d are: (1) to quantify the probabilities with
which category of source and treatment system type will exceed applicable water quality
standards as a function of season; and (2) to identify changes in design, operation, or
maintenance parameters for each category that will reduce the frequency of occurrence of
exceedences to acceptable levels as a function of season. In order to meet these objectives,
three sub-projects were proposed: (1) correction and analysis of the SFWMD Stormrwater
Discharge Permit Database; (2) evaluation of performances of existing stormwater treatment
systems; and (3) identification of changes in design, operation, or maintenance parameters to
improve stormwater treatment systems.
Modeling tools will be used in the second sub-project to evaluate the performance of
existing stormwater treatment systems and to provide necessary information for the following
sub-project. The third sub-project will use statistical analysis results and apply calibrated and
verified watershed model and BMP model in selected stormwater treatment facilities to identify
the changes in design, operation, or maintenance parameters for improving pollutant removal
efficiencies of selected storm water treatment facilities. Recommendations and suggestions based
on simulation results will be developed for future stormwater discharge monitoring programs
for the Regulation Department.
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/ '7
With the BMP model developed for this project., SRPM can also be used by the Planning
Department staff in watershed analysis to assess runoff and water quality impacts on receiving
water bodies or downstream watersheds. The model with a GIS interface is a powerful tool to
compare various stormwater management alternatives that occur as a result of new development
of land uses and/or changes of human activities in a watershed or basin of interest.
2. DESCRIPTION OF SRPM MODEL
SRPM is a basin-scale hydrologic and water quality model which simulates storm-related
surface runoff and the associated pollutant loads in a catchment or watershed. It was developed
for urban watershed analysis, but can also be applied to other areas such as agricultural areas.
The model was written in FORTRAN and can run under both PC DOS and UNIX operating systems.
SRPM is a continuous simulation model with an hourly time step. It can be used for a
single storm event simulation or a long term (such as 10 years) continuous simulation. The
outputs of simulated runoff, pollutant loads and concentrations are in standard time series ASCII
formats that can be directly read by the BMPAM model described above.
An integrated C1S stormwater modeling tool was proposed to fulfill the stormwater
modeling project. Due to the further development of linking SRPM and SRMPM with CIS, pre- and
post-processors as well as channel/stream flow routines will be developed in the integrated GIS
platform.
3. MODEL ALGORITHMS
3.1 Hydrology Simulation
The SRPM model allows users to simulate up to ten (10) sub-catchments in each
~p~i~n ~.P.TYnrmWH~r ~P~nn~lAn~.~n~~7n~ ~nn'P~.-~~7B~M ~Mn~p/ nnr~,~rfl~~n
application run. Each sub-catchment represents a different land use type or percentage of
pervious and impervious areas. The algorithm used in hydrologic simulation is similar to that
used in the RUNOFF block in a U.S. EPA supported watershed model, the Storm Water
Management Model (SWMM) (Huber et al., 1987). A sub-catchment is treated as a nonlinear
reservoir with consideration of the processes of precipitation, evaporation, infiltration,
depression, storage and surface runoff. Outflow (i.e. surface runoff) occurs only when water
depth in the hypothetical reservoir exceeds the reservoir capacity which is defined by the
maximum depression storage (Nix, 1994).
1. Ireraand f/a/r
The rational method, Soil Conservation Service (SCS) curve number method, and
Manning's equation are three most widely used methods of simulating stormwater runoff volumle
and peak discharges from watersheds. The rational method is an approximate deterministic
model which uses a ratio of runoff to rainfall (runoff coefficient), rainfall intensity, and drainage
basin area to estimate the peak flows in a watershed. This method does not consider temporary
storage of runoff nor temporal and spatial variation of rainfall (Pilgrim and Cordery. 1993).
With Ihe SCS curve number method, no runoff occurs until rainfall exceeds a specified
initial abstraction, This method estimates runoff by utilizing a relationship between rainfall and
a curve number. The curve number represents the soil type, land use coverage, hydrologic
condition, and management practices of the land surface. The SCS curve number method does
not provide accurate simulation results for small storm events, especially when runoff is less
than 0.5 inch (Rawls et al., 1993).
Manning's equation is used for the hydrologic simulation in SRPM. The equation
calculates overland flow velocity by using the parameters of hydraulic radius, slope, and the
Manning roughness constant, The Manning roughness constant represents the land surface
Vewoi~i~nr~/p~ IP,,nn~~n~ Pn~r~n/ ~n~p/ - .~RP~~dnn~/ n~~~,~nP~~Rf~7n
.Worenrlror Prnnaf And P0/rnAnt U/nn'a/ .- .PPY 6nl t rnrmnbrb Vren 7.
condition and the land use type of a specific sub-catchment. The hydraulic radius is the ratio
of the cross-sectional area of flow to the length of the wetted perimeter. The Manning's
equation is defined for English units (ULindeburg, 1992) as:
v= 1.49 R2/3S1/2
where v = flow velocity (ft/s)
n = Manning roughness constant
R = hydraulic radius (ft)
S = slope of overland flow (ft/ft)
Because the depth of water flow is very small in overland flow from watersheds, the wetted
perimeter can be approximated by the width of overland flow (Nix, 1994). Thus,
R=A/W= [W(d-d,) ] /w=d-d, (2)
where A, = cross-sectional area of flow (ft2)W = width of overland flow (ft)
d = depth of water on the watershed (ft)
d = depth of maximum depression storage (ft)
The Manning's equation can be rewritten as:
Q=AC W(d-dP) *1.49 (d-dp) 2/3's/2=W* I 9 (d-d) 5/3S12 (3
where Q is runoff flow rate from a catchment (ft/s).
Observed pan evaporation records are used for the calculation of water depletion by the
process of evaporation in watersheds. Actual evaporation is calculated based on the pan
evaporation values by applying an evaporation coefficient. SRPM allows users to provide monthly
evaporation coefficients to account for seasonal variations of the evaporation in a watershed.
The calculated evaporation is subtracted from precipitation and/or the water stored in the
watershed prior to calculating infiltration.
Horton M.isd
A three-parameter empirical infiltration model, the Horton Model, has been widely used
to calculate the infiltration capacity into soil. The Horton model expresses that the infiltration
capacity is equal to the maximum infiltration rate at the beginning of a storm event and then
is reduced to a low constant rate as the soil becomes saturated (Rawls et al., 1993):
f,-f.+ (fe-fJ) e-" (4)
where t = time from beginning of storm (sec)
t, = time at the end of simulation step (sec)
f -= infiltration capacity into soil at t= t, (ft/s)
f, = minimum or ultimative infiltration rate (ft./s)
fo = maximum or initial infiltration rate (ft/s)
a = decay coefficient (1/sec)
The infiltration capacity calculated by Equation (4) is often less than the actual
infiltration capacity because typical values for infiltration parameters are often greater than
F/ ... 7?/"n, n II, rr/
/
J/nr.... f,
typical rainfall intensities. The integrated form of Horton's equation (Huber et al., 1987) was
selected in SRPM to solve this problem:
tp
F( t) = f dt=f,,,,+ ff (1-e - ) (5)0
where P(tp) is cumulative infiltration at t = tp (ft).
The regeneration or recovery of infiltration capacity during dry weather is calculated for
continuous simulation by the following equation (lluber et al., 1987):
fp=fo- (fo-f) e-d(-tw) (6)
where ad = decay coefficient for the regeneration curve (1/sec)
t, = hypothetical projected time at which f,=f. on the recovery curve
(sec)
Due to the difficulty of determining the projected time t,, Equation (6) can not be used directly.
However, a combined equation was developed by Huber et al. (1987):
tv=, t,+A ---l in [1-e" (1-e~t" ) ] (7)
where tp, - new value of tL for next time step (sec)
tpr = value of tp at beginning of regeneration (sec)
At = time step (sec)
Thus, the integrated form of Horton's equation can still be used by applying the calculated tp,
for the consideration of regeneration of infiltration. For the continuous simulation, tp, will be
substituted for t,, and tp2 will be substituted for tp,, etc. (Hluber et al., 1987).
Green-Ampt . odel
A more approximate physical theory utilizing Darcy's law, the Green-Arnpt Model, was
selected as another option for infiltration simulation in SRPM. The original model was developed
for infiltration into a homogeneous soil with excess water at the surface at all time (Rawls et
al., 1993). Mein and Larson (1973) modified the model for application of steady rainfall. The
Mein-Larson formulation for infiltration rate for steady rainfall is a two-stage model (Huber et
al., 1987):
For F'< F:
f -/ and
F- forR> KF R M (8)-1
For F > F,:
/- and
f,=K (1+ F*ID) (9)F
where f = infiltration rate (ft/s)
f, = infiltration capacity (ft/s)
R = rainfall intensity (ft/s)
F = cumulative infiltration volume for a storm event (ft)
F, = cumulative infiltration volume required to cause surface saturation (ft)
S - average capillary suction at the wetting front (ft)
IMD = initial moisture deficit for the storm event (ft/fl)
X, = saturated hydraulic conductivity of soil (ft/s)
flairinn /.?t'/rm or /ar P-11 er~ sf nj/ }/ten//-OW - CVII ~r I /] Jrl}TQ 1/alie
S 4 I/H' roub47
Based on the principle of mass conservation, the difference between the inflow and
outflow is equal to the rate of storage of water in a reservoir; that is,
dS-i(t) -Q(t) (10)dt
where S = storage volume of water (ft3)
1(t) = inflow rate (ft3/s)Q(t) = outflow rate (ft3/s)
Equation (10) is an ordinary differential equation that is not easily solvable. A simple hydrologic
method of routing was presented by Chow (1959) and by Linsley and Franzini (1964):
-I- (11)At
a-s 1- 11+I,2 _- 1+02 (12)At 2 2
where AS = change in storage of water during routing period (ft)
S2 - storage in the reservoir at the end of routing period (ft")
S, = storage in the reservoir at the beginning of routing period (f3)
At = routing period (see)
I = average inflow during routing period (ft3/s)
11 = instantaneous inflow at the beginning of routing period (ft3/s)
I2 = instantaneous inflow at the end of routing period (ft3/s)
0 - average outflow during routing period (ft3/s)
/-,-,,, 11q
yrnrmywrPr nnjrr Ann me!Bl nrant ye - wruT 8 nM, OIrr~ran/n iire-n m
01 = instantaneous outflow at the beginning of routing period (ft3/s)
O0 = instantaneous outflow at the end of routing period (ft3/s)
Equation (12) can be rewritten as the following equation after grouping the unknowns and
knowns on the each side of the equation:
O42 t+s2~4 (X1+12) A t+ (S,-4 OA t) (13)
The variables on the right side of Equation (13) are known for a given time step while the
two unknowns O2 and S2 on the left side of the equation can be solved after the relationship
between 02 and S2 is determined. In a reservoir or a storage system, the geometric dimensions
of the reservoir and the outflow structure rating data are usually given, Therefore, the
relationship of 02 with Sa, each of which is a function of storage depth, can be determined
(Huber et al., 1987). This reservoir routing method was applied in the storage/treatment
simulation routines of the SWMM model and is also used in SRPM for the simulation of flow
routing.
3.2 Water Quality Simulation
Water quality simulation in watershed areas is difficult due to the different physical and
chenical processes governing the fate and transport of pollutants, the effects of rainfall and
watershed characteristics, and the land use practices (llaster and James, 1994). Both regression
equcations and deterministic models have been used for the simulation of pollutant loads. For
SRPM, a deterministic model that includes build-up and washoff components was selected for
the simulation of stormwater pollutant loads. The SRPM model can simulate up to nine water
quality constituents: (1) biological oxygen demand (BOD); (2) total suspended solids (1'SS); (3)
total nitrogen (TN); (4) total phosphorus (TP); (5) zinc (Zn); (6) pesticide; (7) tracer; (8) lead
(Pb); and (9) copper (Cu).
r , r rn rr I rrr rr ~nnrii, rrn I I'lT-. - 7
SYnr, r/r /;nnff nnn Pnih;/sn/ J~r/a - ?PPJ nnn'nl ,Onrmnn nn
.21 Buildup
The concept of "Buildup" was first used to model the accumulation of dust and dirt and
associated pollutants on urban street surfaces in 1969 (ASCE and WEF, 1992). Thereafter, the
buildup concept (as well as the washoff concept) has been included in several watershed models
such as SWMM, HSPF, STORM, USGS, and SLAMM. Buildup is defined as the pollutant accumulation
during the dry-weather periods between storms. The buildup process is affected by atmosphere
deposition, wind erosion, street cleaning, or other human activities. An exponential equation
(Huber et al., 1987) used in the SWMM model was selected for the simulation of the buildup of
water quality constituents in SRPM:
PblJadp pInltt (1-e - " t) (14)
where Puidu = amount of pollutant accumulation (lbs)
Plmit = maximum value of pollutant buildup (Ibs)a = pollutant buildup rate (1/sec)
t = time (see)
During the continuous simulation, buildup will not occur during the wet-weather time steps
unless runoff is less than 0.0005 in/hr (Huber et al., 1987).
3122 faso//
Washoff is defined as the pollutant removal process associated with runoff during the
wet-weather periods of storm events. Similar to the exponential buildup equation, the
exponential washoff equation describes the relationship between the initial amount and the
cumulative amount washed off during storm events:
k)Pro;7n ~.7
f,.A..-9 f9
washoff in tial (1e-kt) (15)
where P.shoff = cumulative amount of pollutant which is washed off at time t (lbs)
Pinuit = initial amount of pollutant on surface at t = 0 (lbs)
k = coefficient (1/see)
Since the amount of pollutant remaining in a watershed (PAJ is equal to the difference
between the initial amount and the cumulative washoff amount of pollutant. Equation (15) can
be rewritten as:
Preman = in ti l a Pwasahoff- Pini tial e -ke (16)
Because the coefficient Ais a function of runoff rate and particle size, it is very difficult
to use a single value to represent the pollutant removal mechanism in the real world. By using
the average power of runoff over the simulation time step, a modified washoff equation can be
derived to overcome this problem (Huber et al., 1987):
((17)Premain (t+A t) Premain (t) e (17)
where 13 = washoff coefficient
At = simulation time step (sec)
r(t) = runoff rate at time t (in/hr)
r(t At) = runoff rate at time t+At (in/hr)
n = washoff power factor
Equation (17) is used in SRPM for the simulation of water quality washoff.
23 Pliosphaors Trarspor/ A Ardncu// reas
In order to better describe phosphorus transport mechanisms in agricultural activities,
a phosphorus movement mechanism used in FHANTM was selected in phosphorus simulation with
agricultural areas in SRPM (Tremwel, 1992) :
Pland ( tA t ) =Pland (t) -Pland ( t) A( C I in+ Irtunorf) (19)
where Paner = mass of phosphorus contained in surface water (kg/ha)
P,d = mass of phosphorus contained in surface land (kg/ha)
Prain = phosphorus concentration contained in rainfall (mg/L)
a = effectiveness of rain in removing phosphorus from P,,, (1/cm)
3 = effectiveness of runoff in removing phosphorus from Pund (1/cm)
Irain = rainfall intensity (cm/!hr)
Irunorr = runoff intensity (cm/hr)
C = converting factor (0.254)
At = time step (hour)
t = time (hour)
Phosphorus deposition comes from two sources: land and air. In general, animal wastes,
fertilizers, or other nutrients introduced by human activities are considered to be land
phosphorus deposition, whereas phosphorus in raindrops is considered air deposition. Equation
(18) states that phosphorus mass in surface water Pwager will cumulate with addition of
phosphorus mass from raindrops Prain and solubilized portion of phosphorus on surface land.
The unsolubilized portions of phosphorus will remain on surface land until next the rainfall or
runoff occurs (Equation (19)). Daily phosphorus mass created by animal wastes or fertilizers
is added to the phosphorus mass on surface land P],nd each day (Tremwel, 1992). Equations (18)
and (19) were used for phosphorus simulation in agricultural areas. For other water quality
constituents, the buildup and washoff equations were still applied for pollutant load calculations.
O'nrmurlatr 17nnaff nd Pnlo,,rd / -dd - CPPM 1/ad} /AnnmeSninn lbrc inn I.9
4. INPUT DATA DESCRIPTION
4.1 Meteorological Data
Observed hourly precipitation and hourly pan evaporation records are required for SRPM.
Input data formats from these records are illustrated in Appendix A. Units for precipitation
and evaporation input data are inches. If the observed hourly pan evaporation data are not
available, the daily pan evaporation data can be converted to the hourly evaporation data by
using a stand- alone FORTRAN program developed in HSPF model (U.S. EPA, 1993). The source
code of the conversion program is provided in the model package (Appendix B).
4.2 Watershed Data
The SRPM model can simulate up to ten (10) subcatchments for each simulation run. The
physical characteristics of each subeatchment should be provided to represent each individual
basin within a simulated watershed. The required basin characteristic data includes surface
area (acres), average width (feet) of overland flow, slope (feet/feet), and infiltration parameters
related to soil type of the subcatchment. The infiltration parameters used in the model are the
maximum infiltration rate (mm/hour), minimum infiltration rate (mm/hour), decay parameter
(1/min), and infiltration regeneration ratio. Infiltration tests are usually required for obtaining
these parameters at sites of interest. Users may find these parameters of different soil types
in -doadbool o//y'doga/ay (Rawls et al., 1993) as a starting point of simulation runs. The
infiltration parameters may be estimated through calibration. The format of the input
watershed data is provided in Appendix A.
Three monthly variation parameters in the model for evaporation coefficient, Manning's
roughness, and depression depth (inches) account for the seasonal changes of watershed
characteristics. Monthly Manning's roughness and depression depth data can be specified for
Vardon /.?nrrr a+ f r i,r.:,!! ,,,.f :,ll,~_ ,-,lU .I _ 4YA3,U 11,l f T.,rrr~enlfnn
l/rn.,4n,, 1 '2
each subcatchment. However, monthly evaporation coefficients can be only specified in the
entire simulation area due to the assumed small changes of evaporation rates between each
subcatchment.
4.3 Pollutant Buildup/Washoff Data
As described above, the generalized pollutant buildup and washoff equations are used for
the water quality simulation in SRPM. Monthly values of the maximum buildlup value (lbs-ac-
day), buildup rate (1/day), washoff coefficient (I/inch), and washoff exponent are the input data
for the water quality simulation. Both pollutant buildup and washoff input parameters are often
used as the model calibration parameters. The input format of the pollutant build up and
washoff data is shown in Appendix A.
5. MODEL OUTPUT
5.1 Time Series Output
Four time-series output files are generated from SRPM: hourly, daily, monthly and annual
simulation results. All output files provide runoff (in) and pollutant concentrations (Appendix
C). The output files are in ASCII time-series format which is easy to use for further data
analysis and graphical display and can be directly linked into a CIS platform,
5.2 Other Simulation Outputs
Besides time-series simulation results, the model also provides an hourly time step mass
balance file. The mass balance file is created for checking the water budget in a time step or
at the end of the simulation period. It consists of eight components: (1) PREC - amount of
rainfall; (2) INFI - water infiltrated into groundwater; (3) EVAP - water loss due to evaporation;
~Dnl~ ~~I n~~ rr~~~(, /-~
(4) RUNO - runoff from watershed; (5) WREM - water remaining in watershed at the end of
simulation time; (6) CUMI - cumulative water amount of precipitation; (7) CUMO - cumulative
water loss, including infiltration, evaporation, and runoff; and (8) ERRO - percentage error of
cumulative rainfall versus cumulative water loss (Appendix C).
Another simulation output is the geometric and hydraulic data used for the simulation
of hydrologic flow routing. At each simulation run, the model will generate one geometric and
hydraulic data file for each subcatchment. The format of the output file is provided in Appendix
C. Huber et al (1987) described more information about the reservoir hydrologic routing method
and the parameters used for the method.
6. MODEL PACKAGE
6.1 Programs and Input/Output Files
FORTRAN programs, input files, and output files which come with the SRPM model package
are shown in Table 1.
Table 1. Components of SRPM Model Package
Component File Name Description
srpml_3.f FORTRAN source code of main program, Version
Programns 1.3
srpm executable file of the SRPM model
convert.f FORTRAN source code for converting daily to
hourly evaporation data
convert executable file of the conversion program
a'rvn 1-7~ar~cluPJ~ rP~n~sn~ Pnl~r~7n~ Abn~7'p/ - .S~'~PP~6~G6~n% I'D~~r~L~d~Lm~
.)fn2 JaT7-Jtf rT r/ i Inn ! --aIR nt Ptfl - I-M A nf rrP r rPtT _TI. .l.'
precipi.inp hourly precipitation data (in)
Input F'iles evapora.hor hourly pan evaporation data (in)
watershe.inp watershed and pollutant buildup/washoff data
srpminhrc.out hourly runoff (in) and pollutant concentrations
(mg/l)
srpmday.out daily runoff (in) and pollutant concentrationsOutput Files (mgi)
srpmmon.out monthly runoff (in) and pollutant
concentrations (mg/])
srpm_ann.out annual runoff (in) and pollutant concentrations
(mg/1)
massbala.out hourly water budget balance data (in)
waLflw1,dat geometric and hydraulic data for subcatchment1"
1
watflw9.dat
watfllO.dat geometric and hydraulic data for subcatchment
9
geometric and hydraulic data for subcatchment
10
6.2 Computer Requirements
The programs that come with SRPM were written in standard FORTRAN language. A
workstation which has a FORTRAN compiler that is compatible with the operating system is
needed. The model was developed and tested under the UN1X operating system on a SUN SPARC
~___.~..~~__ ~I...~~~~.~.~ n. ~r..l~.. I II.. .r. r nnn~, II. .~.I n./
workstation.
The minimrnum configuration for a PC is an 80386 IBM compatible with a math coprocessor.
A FORTRAN compiler for the PC is needed to compile SRPM, Two megabytes of memory or greater
are required. The free hard disk space required depends on the simulation period. A minimum
of 15 Mb is recommended for a 3-year simulation.
ACKNOWLEDGMENTS
The writer gratefully acknowledges the comments of Douglas Shaw, Tim Bechtel and Garth
Redfield on an earlier version of this documentation. Appreciation is also extended to Ginger
Brooks, Zhenquan Chen, Steve Lin, Todd Tisdale and Joyce Zhang for their comments for this
documentation. In addition, the author would like to thank other District staff for their helpful
suggestions to improve the model.
REFERENCES
Alley, W. M. and Smith, P. E. (1982). "Distributed routing rainfall-runoff model - version 11",
Oer 4le report dd2-341 U.S. Geological Survey, Reston, Va.
Arnold, J. G., Williams, J. R., Nicks, A. D. and Sammons, N. B. (1989). "'IF4'ff a ,as?; sca/e
si slai moo'de/or soil and rater resources managem.etd. Texas A&M Press.
ASCE and WEF. (1992). /Pesln arid cons/z cbio 0/ urban storm/ a/er management sysems.
ASCE Manuals and Reports of Engineering Practice No.77 and WEF Manual of Practice fD-
20. American Society of Civil Engineers, New York, N.Y.
1/nr ;in T _4Ynr~r>-'- ar,n,~ rl~/n dlizl L~~~~,,,,~
-.' -7-7yT #7 nF r 3r? flitsr777 prItyPt -9P Yfy ;r Jnn YrFrrLnnn ,.,-,-./17 7
Beasley, D. B. and Huggins, L. F. (1981). "ANSWER user's manual". EPA 9095/9-d2-001 U.S.
Environmental Protection Agency. Region V, Chicago, 11.
Chow V. T. (1959). pen-chasneiydrau/ks McGraw-Hill Book Company, Inc. New York,
N.Y.
Greene, R. G, and Cruise, J. F. (1995). "Urban watershed modeling using geographic information
system". J falerfesour P7/ arnd p1, 121(4), 318-325.
Haster, T. W. and James, W. P. (1994). "Predicting sediment yield in storm-water runoff from
urban areas." J. IFaer esour. /'in adldgmt, 120(5), 630-650.
Huber, W. C., Heaney, J. P., Nix, S. J., Dickinson, R. E., and Polmann, D. J. (1987). "Storm
water management model - User's manual". A 6d// Z-8V-lO9a U.S. Environmental
Protection Agency. CincinnaLi, 01),
lindeburg, M. R. (1992). Ord erngeeri7g reerece manual Professional Publications, Inc.
Belmont, Ca.
Linsley, R. K. and Franzini, J. B. (1964). "Water-resources engineering". McGraw-Hill Book
Company. New York, N.Y.
Mein, R. G. and Larson, C. L. (1973). "Modeling infiltration during a steady rain". t/er
kesour: les, 9, 384-393.
Nix, S. J. (1994). /1ar Astor rma/ermodelbg anddsaiu//as. Lewis Publishers, Boca Raton,
Fl.
n, n nnniii rrn /'' ,.-, -z,
FAi.... ,.-.fIQ
Pilgrim, D. and Cordery., . (1993). "Flood runoff". //&andloo of hydrol/og D. R.
Maidment, ed., McCraw-Hill, Inc. New York, N.Y., 9.1-9.40.
Rawls, W. J., Ahuja, L. R., Brakensiek, D. L., and Shirmohammadi, A. (1993). "Infiltration and
soil water movemrent", Yc/dbooa o/Aydrololf D. R. Maidment, ed., McGraw-Hill, Inc.
New York, N.Y., 5,1-5,51.
Shamsi, U. M. (1996). "Storm-water management implementation through modeling and CIS,
.A faterlesour /Y a ndmt. 122(2), 114-127.
Trernwel, T. K. (1992). "//d hydrol/o d aid /rl/ /rnsport model - I//AiT Ph.D.
dissertation, University of Florida, Gainesville, Fl.
U.S. Army Corps of Engineers. (1977). ' Storage, treatment, overflow, runoff model, STORM,
user's manual". Ce ere/'Cd CoputerProgram 72J-SB-1762a Hydrologic Engineering
Center, U.S. Army Corps of Engineers, Davis, Ca.
U.S. EPA. (1992). "Compendium of watershed-scale models for TMDL development". FPAd /I-
/-92-902 U.S. Environmental Protection Agency. Washington, D.C.
U.S. EPA. (1993). "llydrological simulation program - - FORTRAN: user's manual for release
10". APA/0at/'-93/7 V U.S. Environmental Protection Agency. Washington, D.C.
Xue, R. Z. (1996). "Best management practices assessment model - BMPAM model
documentation, version 1.1". South Florida Water Management District. West Palm Beach,
Fl.
~nnr/ I,, ~, I n,,..,,,~,,;,,
APPENDIX A
SRPM INPUT
APPENDIX A-i
Hourly Precipitation Data
Dec 13 16:32
WET 1991 7 12 7 0WET 1991 7 12 8 0WET 1991 7 12 9 0WET 1991 7 12 10 0WET 1991 7 12 11 0WET 1991 7 12 12 0WET 1991 7 12 13 0WET 1991 7 12 14 0WET 1991 7 12 15 0WET 1991 7 12 16 0WET 1991 7 12 17 0WET 1991 7 12 18 0WET 1991 7 12 19 0WET 1991 7 12 20 0WET 1991 7 12 21 0WET 1991 7 12 22 0WET 1991 7 12 23 0WET 1991 7 12 24 0WET 1991 7 13 1 0WET 1991 7 13 2 0WET 1991 7 13 3 0WET 1991 7 13 4 0WET 1991 7 13 5 0WET 1991 7 13 6 0WET 1991 7 13 7 0WET 1991 7 13 8 0WET 1991 7 13 9 0WET 1991 7 13 10 0WET 1991 7 13 11 0WET 1991 7 13 12 0WET 1991 7 13 13 0WET 1991 7 13 14 0WET 1991 7 13 15 0WET 1991 7 13 16 0WET 1991 7 13 17 0WET 1991 7 13 18 0WET 1991 7 13 19 0WET 1991 7 13 20 0WET 1991 7 13 21 0WET 1991 7 13 22 0WET 1991 7 13 23 0WET 1991 7 13 24 0WET 1991 7 14 1 0WET 1991 7 14 2 0WET 1991 7 14 3 0WET 1991 7 14 4 0WET 1991 7 14 5 0WET 1991 7 14 6 0WET 1991 7 14 7 0WET 1991 7 14 8 0WET 1991 7 14 9 0WET 1991 7 14 10 0WET 1991 7 14 11 0WET 1991 7 14 12 0WET 1991 7 14 13 0WET 1991 7 14 14 0WET 1991 7 14 15 0WET 1991 7 14 16 0WET 1991 7 14 17 0WET 1991 7 14 18 0WET 1991 7 14 19 0WET 1991 7 14 20 0WET 1991 7 14 21 0
WET 1991 7 14 22 0WET 1991 7 14 23 0
precipi.inp
0.0000000000.0000000000.00000000.0000000000.0000000000.1100000000.0500000000.0000000000.3900000000.2200000000.1400000000.0100000000.0000000000.0100000000.0000000000_0000000000.000000000
DD000000000
0.0000000000.0000000000.0000000000.0000000000.0000000000.0000000000.0000000000.0000000000.000000D000.0100000001.3100000000.410000000
0.2300000000.1300000000.000000000
0.0100000000.0000000000.0000000000.0000000000.0000000000.0000000000.0000000000.0000000000.n000000000.0000000000.0000000000.0000000000.0000000000.000000000.0000000000.0000000000.00000000
0.0400000000.460000000
0.0300000000.0100000000.0000000000.0000000000.1100000000.0500000000.0000000000,0000000000.0000000000.0000000000.0000000000.0000000000.000000000
APPENDIX A-2
Hourly Pan Evaporation Data
Dec 13 16:33
EVA 1991 5 1 1 0EVA 1991 5 1 2 0EVA 1991 5 1 3 0EVA 1991 5 1 4 0EVA 1991 5 1 5 0EVA 1991 5 1 6 0EVA 2991 5 i 7 0EVA 1991 5 1 B 0EVA 1991 5 1 9 0EVA 1991 5 1 10 0EVA 1991 5 1 11 0
EVA 1991 5 1 12 0EVA 1991 5 1 13 0EVA 1991 5 1 24 0EVA 1991 5 1 15 0EVA 1991 5 1 16 0EVA 1991 5 1 17 0EVA 1991 5 1 18 0EVA 1991 5 1 19 0EVA 1991 5 1 20 0EVA 1991 5 1 21 0EVA 1991 5 1 22 0EVA 1991 5 1 23 0EVA 1991 5 1 24 0EVA 1991 5 2 1 0EVA 1991 5 2 2 0EVA 1991 5 2 3 0EVA 1991 5 2 4 0EVA 1991 5 2 5 0EVA 1991 5 2 6 oEVA 1991 5 2 7 0EVA 1991 5 2 8 0EVA 1991 5 2 9 0EVA 1991 5 2 10 0EVA 1991 5 2 11 0EVA 1991 5 2 12 0EVA 1991 5 2 13 0
EVA 1991 5 2 14 0EVA 1991 5 2 15 0EVA 1991 5 2 16 0EVA 1991 5 2 17 0EVA 1991 5 2 18 0EVA 1991 5 2 19 0EVA 1991 5 2 20 0EVA 1991 5 2 21 0EVA 1991 5 2 22 0EVA 1991 5 2 23 0EVA 1991' 5 2 24 0EVA 1991 5 3 1 0EVA 1991 5 3 2 0EVA 1991 5 3 3 0EVA 1991 5 3 4 0EVA 1991 5 3 5 0EVA 1991 5 3 6 0EVA 1991 5 3 7 0EVA 1991 5 3 8 0EVA 1991 5 3 9 0EVA 1991 5 3 10 0EVA 1991 5 3 11 0EVA 1991 5 3 12 0EVA 1991 5 3 13 0EVA 1991 5 3 14 0EVA 1991 5 3 15 0EVA 1991 5 3 16 0EVA 1991 5 3 17 0EVA 1991 5 3 18 0EVA 1991 5 3 19 0EVA 1991 5 3 20 0EVA 1991 5 3 21 0EVA 1991 5 3 22 0EVA 1991 5 3 23 0
evapora.hor
0.0000000000.0000000000.0000000000.0000000000.0000000000.0026947900.0075326080.0123704270.0158608500.0158608500.015860850
0.0158608500.015860850
0.0158608500.0158608500.0123704260.0075326080.0026947890.0000000000.0000000000.0000000000.0000000000.0000000000.00000000000.0000000000.0000000000.000000000.0000000000.0000000000.0027432480.0075632400.0123832340.0158316030.0158316030.0158316030.0158316030-0158316030.015831603o 0358316030.0123832340.0075632400.0027432480.000000000.0000000000.0000000000.0000000000.0000000000.0000000000.0000000000.0000000000.0000000000.0000000000.0000000000.0027907870.0075932530.0123957200.0158027930.0156027930.0158027930.0158027930.0158027930.0158027930.0158027930.0123957210.007593255
0.0027907870.0000000000
0.0000000000.0000000000.0000000000.000000000
APPENDIX A-3
Watershed Data and Pollutant Buildup/Washoff Data
Dec 13 15:20
Subcatchment #Land Ose TypeArea (acres)Width (ft)slope (ft/ft)Max nft. Rate (mm/h)Min Inf. Rate (mm/h)Decay Param. (1/min)Infil. Regen. RatioHortn-1/Green-Ampt-2Capill. SUctioh (ft)Moi. Deficit (ft/ft)Sat Hyd. Cond.(ft/h)P Added (kg/ha/day)P in S. Water-kg/haP on Top Soil-kg/ha
Phosphorus Co9ff. PCRAI
watershe.i np
Input Data for SRPM - Version 1.31 2 3 4
COMME15.32817.0.0012.00.50.9
0.01
10.700.26
0.00380.1200.0010.00
N-mg/L EFFPRAIN-L/cm EFFPRUNO-1/cm0.1 0.0700 0,1200
Evaporation Coeff.
Manning's roughness1st subcatchment
J F M A M.70 .70 .70 .75 .90
J F M A M015 _020 .020 .013 .025
J J.95 .95
J J.015 .020
A S 0.95 75 .75
A S 0.010 .005 .010
Depression depth J F1st subcatchment-in .01 .01
M A M J J A $ 0.01 .01 .01 ,010 .01 .020 .001 .010
Maximum BuildupBOD5 (lb/ac-day)TSSTNTPZNPESTTRACPBCD
Buildup Coeff. (1/day) JS0D5 .10TSS 1.0
TN .20TP .10ZN .10PEST .10TRAC 1.0PB .10CU .10
Washoff CoefficlentBOD5 (I/in)TSSTNTPZNPESTTRACPB
Washoff ExponentBOD5TSSTNTPZNPESTTRACPSCU
N.75
N 0,010 .020
APPENDIX B
FORTRAN PROGRAMS
APPENDIX B-1
Program to Convert Daily to Hourly Evaporation Data
Dec 13 15:29 convert.f
C This program is intended to convert daily evaporation data (In) to theC hourly format for the SWRPLM model input by using a HSPF subroutlne.C File: 'convertdaily hourly.f' (01/25/95).C
REAL DRD, JDAY,RDIST(24),ALATINTEGER YEAR, MON, DAY, IOPEN (1, FILE='evapora.inp')OPEN (2, FILE='evapora.hor')
JDAY = 90.0* 2*3.14159/360 - 0.0174582
ALAT = 27.5ALAT - ALAT * 0.0174582
5 READ (1, 20, END = 1000) YEAR, MON, DAY, DRD20 FORMAT (6X, 14,1X,2(2,1X), 3X,F13.0)30 FORMAT (1X,A3,2X,I4,1X,4(I2,1X),F13.9)
IF (JDAY .GE. 365 ) JDAY = 0.0JDAY = JDAY + 1.0
CALL RAD (ALAT,JDAY,DRD,RDIST)
00 I -1, 24WRITE (2, 30) 'EVA', YEAR, MON, DAY, I, 0, RDIST(1)
ENDDOGOTO 5
1000 CLOSE (1)
CLOSE (2)STOPEND
SUBROUTINE RAD (ALAT, JDAY, DRD, RDXsT)C COMPUTES HSP QUALITY HOURLY RADIATION DISTRIBUTION GIV;ENC LATITUDE, ALAT(IN RADIANS), JDAY(JULIAN DAY OF YEAR) ANDC DAILY RADIATION.c ARGOMENTS
REAL ALAT,DRD,JDAY,RDIST(24)REAL PHI,AD,SS,CS,X2,DELT,SUNR, SUNS,DTR2,DTR4,CRAD,SL,T TSEREAL TR2,TR4,RKINTEGER 1KPHI=ALAT
AD= 0.40928*COS(0.0172141*(172.-JDAY))SS* SIN(PHI)*SIN(AD)CS-COS (PHI)*COS (AD)X2=-SS/CSDELT=7.6394*(1.5708-ATAN(X2/SQRT(1.-X2**2))}SUNR-I2--DELT/2.SUNS-12.+DELT/2.
C DEVELOP HOURLY DISTRIBUTION GIVEN SUNRISE, SUNSET AND LENGTH
C OF DAY (DELT)DTR2- DELT/2.DTR4- DELT/4.CRAD- .ES666667/DTR2SL- CRAD/DTR4TRISE- SUNRTR2- TRISE+DTR4TR3- TR2+DTR2TR4- TR3+DTR4
DO 100 IK=1,24RK=REAL (IK)IF(RK.LE.TRISE) GO TO 90
IF(RK.LE.TR2) GO TO 80IF(RE.LE.TR3) GO TO 70
IF(RK.LE.TP4) GO TO 60RD1ST (IK)=0.0GO TO 65
60 CONTINUERDIST(IK)=(CRAD-(RK-TR3)*SL) *DRD
65 CONTINUEGO TO 75
70 CONTINUERDIST (IK}=CRAD*DRD
75 CONTINUEGO TO 85
80 CONTINUERDIST(IK)=(RK-TRISE) *SL*DRD
85 CONTINUEGO TO 95
90 CONTINUE
convert.Dec 13 15:29
RDAST(IK)i--095 cONTINUE100 CONTINUE
RETURNEND
APPENDIX B-2
Main Program of the SRPM Model
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APPENDIX C
SRPM OUTPUT
APPENDIX C-I
Hourly Runoff and Pollutant Concentrations
4 4 G r"I Q, I'- r-1 .-JI r, t- L) w N kr 117 C C C O C C C C C C VL t) 1-I ,--1 C, 4 Cr] { r-I ra, r' Lrl G [SI I'- u- t-- 0 ul 't, U U C C1 4 d C C. C, Ifl U3 r1 0, m 4 4
nn , nlL, r- &--I tin LO f- m1--1 un no nn c. ooooC =r~ rw roC4 G a G rl CL, CO t- ul 4' r "1 N rw rG m m m d n a a o n U C, C: C: G Cr 4
1-- C, {, C] 4 G G n G n .- , C, 1 {, r, t, 4 d 4 d a 4 4 G CJ Fj i n n r> z-, n a0 CC aodoa P GC}O {, C:>C>C:OOO4QOQ L 400
_ .L. u O O O d 7 {] Q C, C, C] O [ U O O O 4 O O CD L} 4 U L} C C, C, C, CP CP
C, 0 0 t"- 4 C, 4 rw 1p 219 en o,' r+ '-I 1[5 F, ,F) C, {, {, C3 6 C> C, 4 4'+ tN ry, 1J'} G C Cn n n IV N IN CV Cl q' I'-. m m F.6 I'm s5 G n rp G n C G G m m .-- mct. ct
4 6 c n -11 In N CO m 0) H 6h r, 4 a G 4 d 4 c c d b 4 a' .-- I 3C, 0 0c U rv, N b' m m r"- t-- C, 1 , r- 1y: Y, C Cl C) Ca Cl C, U p G ,-i lfl 10 01 Liz ra G
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= acG C, n 1? C, 04 C? O C: 1 CO C,1 10 C, C,4 C, C3 C, r, 1 4 GG
m G r e:' Cl C3 0 Cl C <i It C] c c 4 4 4 4 4 4 a c d U C C3 C, C3 C. C, C, 4
c d 4 .-- 1 Qv C M rM M [+ rT lL] ,-JI rl C, r <: C, C, C, Cy a n 1 6 I+M M rr1 C CV C rl f"1 m +r Lf U IT t4 ++1 [ o li, a G G a o a a G d d VI m r, S15 C Cc o G C LC, 1 - 4 0, 1 4 I'D 10 l-- CO ,--: ul C C. Ca C, C C G O C, C, O -- 1 &1 N r"I G r
o a a a r-r y, m m N CV .--1 q r C3 C, 0 0 4 47, C; G a a a a G m oC>< t Ca Ca X44400 oGCOGaG GaaGGO oGt~ L] ,G CSOr C, C: C:: GOC, C}C, 1? 1a b1' C C1, 44a4Ua OC C, C, C, C: C,
GG oGaaGnatwnc, Cy 1.,«p431?C, r C,445 CGnp aoo oa
rJ" - - ,Catil--imlLndrw z%; Qw oad doac G40LO 1a cr r' 44
nn Cr, ncam CC t- LDC u'1--1or 0) 4u t f 0C, CaoC at- tr ^I In t- o{,do oammf a, N-t I r"1 [ 4, {n L043 nC OC}C+nno nN.w 411 *+aa
W 1D , {: (fl U) 1G: rw f"f d m r-. m fw d 4 4 c a 4 G 4 d 4 4 rl r+] N [V Cl C7fioo on. ul 01 'Z mLO ul r, fv lH--I r_ _,C: C 0C, 000000 CP rG LP c;,
" U rj t, U d d c 1--1 m G G 4 6 a G G m G d G 6 n G a d G c m 4 4 4 C5
~aG n Grnn1 C, e:. CO C::G 4C>r: C:n 00 C, rr n nG[J
U 4 a d m +$ +J ri rt In 'r M rl -t C, C) 0 43 n n n G a n a 1--1 N m d 4[ C C C3 CYJ 1p 1Y 1p +fr QI a--I NM1 r-1 r-I ll? G 4 a a a d d d c 4 4 l LYI 1--I VI C Crr7 r-, 4 « . In C, H r- 1H fV tea' IN u5 r- t U Ca c, C7 G G U 0 LO H O, r'1 T 00
f Woo GGrrCE, a, IJ r l IN In M L? ID LD Cl C, O 4 GnrrGNr", ra, rnFla 4 4 a 4 N d r- G V"1 'N M [-- ,f7 r) N G n a G d G n 6 G n d c m a d a c
C, I] CJ C, C. 1--1 ,-y N rl 1--I O {? 4 O O L- O 4 O O 4 4 C 1 1' 1J 1' G O Q C:4 U a 4 4 4 d G a G G a a n G G G a G G a a d a G d c 4 d 4 C c
P _ _E4 r, r, ys 1L3 Co rv ra 1--1 v r, , <_, 4 C? 0 C, rD C, 0 "i3 {, ul rY N C n- 4 4 a +S N rri r+5 -t [-- F.O 1'- H1 'f -a CS, C, C, n 1 C,] rw3 n G a G -. 4 a a M [+ c n
-, C: F, f1 Ou C,.7 r- r 4 N th m r3 m a 4 6 4 c c a 4 4 u r W L O 0C, r5 Wl, 0, 00 1yy tr rw O, t? C:, C 0 C, C C, 0 0 0 Ln r-a C, Ln t- 01?
[ G d G Ir: ry rw !-3 lb fw r.- Lrl +'-t V 1[} C, p C, c, ? ra G G G G f'3 +] rH N M c cH Q C: C, C, Cs 1j5 t- t7' d5 7 rV 4 H m 4 4 O 4 d O 4 4 c7 c --I 7 W r- C,
= V U C <T' rQ5 r:w, ra Q, [ " ,i, rri G G O G G c G a 4 c 4 c n G G d U
',coF
?C ^lC r-41t r-1 sir rrGC GGG GGGad 14 C; 1 44Fri r r n .-- I m m ul C, C) r In r- 4 1i l c C 4 Cb 4 c c V C C Lfl W M O', O C, rDgddoala asaW Fp 1p I--m.-100 CO LD wn C, 00 C c c . r"1N t*,aCf
, 1 rl r , Iy a m m r L'I M N rw rH G O a d G d d 4 4 c d 4 c c 4 4 4[ilaoOaG a n 441 {, 00 C,:_, 0 C, U Cl Cl U G C, 0 C:, 0300 e::, 7, 0 4G" C, d c m c 4 a d c a d c O G a n C. G n n C] 17 d G a G a G a d d d
~oaG GaaGGn CP0 C, 000 . C; C, C., C: C, 41? C", 17 C, rJ ran qGG
Q:
G G 4 ,--I 1 m LO rl + q' W' Ifl ,--I d1 b] [] C !> C C:, CJ {} Ci C> Cy ,-I rl 4, f"1 N C, GC2= 4 4 4 b' rV Vl in G M Q, Q, r': I a +_ O G G O G c a n [ S rw M 4 G 4
0 fv rw v'q' W'-11t: rl c-c c ca 4Ca c5C 0C: Wsr a t-4, C34Q G G c G Q, I
U c +7' * r r-l 41 [+ LN[7 kL3 N pt CD G G [, a a D 4 G 3 G j c O 3 a C 6 a 4 4 1 G 4 G
.T. U 4 N [ y, p, 4 4 4 eJ C C C}C31>1a 13If, 1i C 1a OC 1} C, O C, r> C3 C, 9 C, n 1: Cf4
Lti d d m d fti 4 a c 4 a 4 G 4 G c c a d d a c c a Ct b e C:S C C {, 0
fi r, q'ul lyar CUC U, rv r', +r ,ti rv ire ul lr3 f- tr., Cn C'3 rl rv r- a'Ifl tt: r- COCC,
C} 0, Ch r5, to trrn o-, m Qy Q, Q, Qy G d c 4 G 4 4 4 a C3 Cy O O C3 C:, CS O C, O, aw ,mod ,-I -4 -4 -4ct [;7 rv ra[v C,7 1,I N N CV N N N N N N N N NN
"Lit Lf1 Li u] u1 V1 L(1 Ul J1 V, Lf, Lrl lf'I LC, V, ul u1 ul O ul ul u, Lf) Lf1 v7 1!: 11l Lr) lfl u1 U-) 111
'--I "-- .-- 1 '--I '--I ,--I '--I r .- I '-- '--I ,-- '-- '-'I 1""1 .-- I .-- I .- ,-.I .+1 . rl N fy I r. .W rlUS tn to Q, Cr 11 7, Cf, 0, O+ Cr, 010, 0, 0' fn 0l rr rn M M M Q, Ql M M Q, M M M M MM
M ~a !, fT Q1 Q1 Q, Q, Qt 4 41 m G Q, Q} M 4 IT tf, Ch t}, d, L* CS1 f7, L, Ch C'n , L ,
-- : - ry 2 - - .--1 -4
Ln c I- mI7,C -f~n-r In xvamc rwr',tI Lr11Dt.-CO , 0, {, rwm -rLrou1 Lfl Lf1 If1 LO Lr5 Lfl Lo In Lf1 1,[, H3 43 L[, 4 LO LG Li, lp '-P r- r-- S r r'- [,-
['-y W-r r-r-r t ':r '* ':V at;tbr -4' -r -rb s r a -~- -r -ra
APPENDIX C-2
Daily Runoff and Pollutant Concentrations
C {'? C m m m m d p 4 4 0 0 C G m O m C G m a G m m C] G7
GGdGp , 47 C3 CCCC oo mGGpGppCpapmG
C, 0 Li l, wa C rv w 4n G C ty q C> O, C+ C? C? 6 C C? C? OD C, Wp M C, ry r- 4L., '4 U M m r N G 4a G G p p G G G rri a 48
Ca rvmm--IG4n rrl Lfl r)0-t DC, 66 C, Cr Cy CaGmC]m mrG Wa s N W C, 4 C, N C, r C, C) C, O 4 C, O ,D
d G G p .- I 0 C, ,--I C C Ca ,-h G G m G rK G 6 G¢ G G a 6 G CC C m G G G Q n g C, t_, C1 C+ U 1] p p O O O G n n n 4 C7 C?
G47 C 0 D CGmC amGGGC CC C, 0 C,{-00 CC p
C, h -r ti4 Ifl C r7 tr} ,n o o [-- M m L- 4 n r ; r C, C7 n n U !-- 47 Q,aLO yprr5nr-D, tl, wi Ca Gr-},n rwGrK CmmGGG m aaNCmviadG T, C4 r, rY C, uS C, C:, Ch C C C G c C Jr C.,G 4i, tG C-1 aT c r-4n m G o d p .w « N 4 n 4 C, C7 C3 n C, Y-
0 4 47 C, W m N rl O, +3, C 4D G m m G d m G m m ryC m r-' G m m e) N [ 4n 6 f l C> N C, V ., C, C, C, r_ C l. C, 7 1 C7
m n N C, C, C, N ,f, w} C, ty Lk, C n U U m G m m G C m m m C th
C Q, li l G 4D G N ,D ' ,(, C, W N wJ r r , {h i, C, o C, G F} C Cfj C ,DEN v'CW GNr--w-rd rr, G[ Np4pp Q4G ppp Mp4flf4 {l7 4 ,--1 4 1D r'1 ul r, t, s m m m m ra G m m m d m o ri Ca w5
GG-ypy, 0 -- 10 v'00 CS C, Crv C, Cm C] u UCC, 13 w7mmo orlaGwppnw i-nC, CC,-C,4C, e:30C. z?00CPO C, i] C? Ch m G G m G G G G d G G G m G G G d G m a G G
C, m G m a m G G G G p p p C C, Q C, 0 C, n p 0 0 p G p 6
C Ln S] ,D rj ra , 4 ,D C m r,1 kr C C C G C C C C C C C;; Co rU st G m a CV C~ o -t ,7 m C, r- [v C, ,L, ri Ca C, C, C, r, 0 "o LDr., N x r} ,-s U ,y, M Vl M m -- t m m o p N G G G G G 6 m M G ,.On rr - C,-.r C, ,--e0 0"w3c cmrvm CcS C2, C± C, 0 C, 0 LD0 0 D C- ry G n n"1 n C3 n -4 r: C, C, n -4 p Fj n e, n C, n i, Q CDG {} r'i C3 rj rh } G m m m m m m G m m m G m G G G U m m mL G U C C G O G G G G C, , ti, i i C, n S7 r C, n rr G G G G G
9 0, U5 LJ 'aT C, '4T ,--I M G m
Z, C V1 an d v7 G M rrl N C,U rS rwthowa oL-Id , rnG
- G G m m H G m n a G p
M G S7 C, 0 0 C. 0 0 C3 G 0L7,
U
o .y'aor-iornNC Llor t_, .-- I C] C] S7, C r r+ +f r-I mG-y rnGnr t- mIII a'C,
X 7 0 r+l C, ! l N LYI L GE71 G m G G rrl p 15 N C, 11 1.m -W t7 9 C> t , t? , C, tat '+ Ca
.s.N- Grn rV C, I C, 4c7 Y-h- Nr1
m +Y r G M C, G G (V 4D 6
n pmcz; 0 'D C,r- QL7 C, O, C, 00 a,0
E+ m ,D N G G G r- 4n a, -4 G
i , [ qr, pr , ry V 1 rl U U
u.CIS Lh En V', U 4D G f ] 4D b' 49 G["r p Nr, Co r}fv r- w7 tr C>- U N m m H m 4l} r'r, 4P rr, p
m G- G n t] n .--1 C, C, .-- I C, J C,
' vl m O m G G a G G 6 n tiCjU o n,7 O U C, rD CS C, C C,!b
r"'Y 4D G G G + , G G G G G G m ,L G Nf Y U M W:'C, (1] G U O G U C] LJ ,I> F} OW VY LO ,-- 0 -r C, C: C C3 O C, O N 0 rrlG 6 r-- m G 4D d G G G 6 6 m N m f'Srl , 5 C, tS 1', 3) e] C3 r 0 r} C, r, C3 C, ^'.- { C 47 r,} 17, n p p Cj SJ G G G G G G
+}GC GG cc r}Ca cS CC ^, C, r:3 C,
C4 rrl 47 nfV rpnn GGaNG{4
0 M ,--I U G m C G C m m C 0 C? th
m ,-A {-- G G [-- G G G G G G G w] C ,Dvl tr ,--i c r_, r", C, ca c c3 C? C, i , 0 C, .-- I
f4 .--I p n C 1V C, 1 C C3 C, 177 r, C} n «
c, cmch ccC _ C?C., C, L7OG
-a 0,2 m Ur 200 O C>C7 npp Cy L
- - - - - - - - - - - -1-- - .- 0 Ln p (PP p p p G p G G m m -W N rl m 6 C G G G G G G m h CJ Nr.0 rq Cqp t) CCC, C C, 00LD- M0 co 00 C, ti, C, 8 n C, Grr, P N',lf'I 4D N G C ,--' m m C m C U m m m f-7
G ,D rW G CC G G CG m m m m m 4D
m (*] ,n G G O, C G G C G, G m m G ,sI-i U rv rw wJ r? G, C to C? r} C, r G
OU M C, C, N 047 r, n O n G7 -1 p 4nN 4p G G G {V m m G m m m C G G ,L,,-1 C, r3 F} Ca ,--I C Ci 0 C} O 0 O C, C, G47 Ca ,? C, n C, 17 C, O 47 S? 1? C', 4 p d
t) C? G C? U u h m Ca G C3 C] r=, O C, C,
4
o m ?411 p-r O Lr ra C, ,-I o" 6G C, C: rC r, C,4 ptootrYy m N H G G U ' N h (ri G ,M ll'] fS, - d 6 G a G G m G m a G rJ" C, [Y VI 0 C. C, ,-1 C, lit G 4r r-I +f rv Ca O, C C m 00 G r-i S } lf1
- G -7' I^ a ri G P 447 R, LD p Sn 14,7 Lo C7 C, Y- p p ,? C, n G d u G rr,rj C] 4[, ? m C, W1 ,9 N m m 04 M ,-I G m -- C m m G m G r=l Ch C3 Ifl
C, 976 O CS 7GC, COwi C, OO C, ti OC-nO
QC,00 C. Cr}om mmC mmGCac C}b Cv C, O C0 00 C,
fLrl4or-'r, ho rvr;r n1n 17 1 wrv1 Lrl1 r' omo( . . r rl ,ti rh rh r1 N N f4 N C4 N N f4 N M rl r-I
. 47 47 4D C, ,D ti, f: w5 >d r5 ,L, \D wJ w5 ',b w:, Y-
V-1 - ,--i - - .- I - - r-ILl Cn P. m m 6, O m 0, 0, m 0, m a, m m 0, a, a, m m m m C m mr+ 0, Ch 01 L~ 0) 0, 0, C^ m th m m m m m m O 0 th M Cn C, 01 Cl Ch
f " , -4 -4 .- I rl -4 .w .- 1 -4 -4 .- I
V1 ,D t-- C4 D, o rY K u l ,L, r-, m C ,--i ra r 4 Lr s r- m Ch C, ra C',1-K Ur 6n L11 4r} Ln LJ-I Lr, Ln 4f, '-C+ ti, LD o ts 4D D w7 ,.[; L( r-- r-
0.Q
APPENDIX C-3
Monthly Runoff and Pollutant Concentrations
[v C,4 M C?&I- vNa IN C, br u7 D 4X d 0) do w LrNt-- P r, 7' OO CO Lr1 m r-I m m c w a M rn a yY I a, N
" ,--, ,--, N rl N a G M 0 n LP d CO C., N a U C] rl 4, w M InC, C, ? C, r3 C, r., C3 b G c c wN o rJ d d O d d d C, d 4
waG cacaGO anCd C3baocaaoaac4l0
ri a
LZti rv '-I O 0 ti In ,--I In Ln o Lr) Cs, , rt t- CA t- C+ " N a,[- rt y, u'1m , t-- rY W m r- mw r-1 ammN,-+6Y
Nrv , srmc ter- uYNC C-4 -r In Lf, Cfi 0Pd"O LD In IN,- [ r1 r,4]{k>v' fi rtimm ayamr+Y rFa u N-aY rw
ti ti rW '-1 r-1 G G r, ul C, LO d Cli C, N m r5 m -1 40 rY Ind C, COdG c Gaonr7 wa C>dddd 1 9dd Cd
-,t m Cp CD C, C: C, C, CacoaaaG Goaooca-4OL
7
N,
r-- , , , , , , ,m 1+-, r'Y [x -- 1 4 rv Cy m r m a a; r, r-1 L r, r- c ra rv
amrw ln-Nqn[--u1 "t-- wo m0Y Cc 'D Ul rw sr ,-i 0h LOLU u1 r- r- u, a aY Ini M I--'ri ww ,--r Lp -: r1) N L[, [V t~ wN Ln t-un LD -4 r, tD r- r- w bm a, N m IfY a r1 Ln ,--1 r Y b, r. rwo r 4 Lf'' a -1 C, 0 CO CD 00 -1 v' Cb 0 rl r' ry a, r m ,D Vr W P
rl u, ramwa avafV [gym 41ir r'^
CD (V Gn Lr] ' 4NUl ,-+a
wwa4na, nrylt- ,t- [v 070,cvC,0,aT y ud t- 65(E U}ul ,--I m rw r-1 ry Ln m a '-h N . r, r IN Ir1 w, a, n r-
a
0
(l, N "a .-- I 01 0 -1 di r as Lr1 o In r m r, m r- Co r- C- -. rl Q}r, ra Kr vY m m f, 1, rw, m rr, fV r'Y CU LO ,4 C, rr, tN Cr,rw CJ - v'r'1=m r- Ln rwG Noy, n m c- aa Lawnrw.4 -I 1-- [-- NY C, CO Co Ifi rn ,--I aj rD CL, w O, r-Y r"Y c., Lr, I- O1 N
- -1 ,--1 N . rM o a r+ Ill C, ,p r1 IX, d N C, C, d , -t ,D ri Ill4 caaaaaoo¢awnc {347n1xnn a anc
waannnrd r1d0 n 0dC, Cl,0Cr_ -,d 0C, r7r-rm
, ,[st N wr n b, a ,rY r m Ln G 4n r- a, ."1 rn C-. m r-. 24 N mt- N "l' Lf, Fj t- t- ,TY Oh f^'1 r^1 r- r-1 rY W w r- C C, rk, ri .-- I C,N G -It r', n m [-- Ill (V r N 0 -h Ln 14Y CO « Cr, n LQ LIP 0 N^I rti r- r r-Y a m m LfY r'1 ,ti m m G w a, rr, fry G Ln r- In r^a
" +-I ^I N .-- I r d d m u) r s ,.0 C? LU {'J N U L rl ^ 9 4' w m ull11 G G a G G C, 171 1} 1 1} r1 r-, rr n n 17 G a
<? C, r d d d d C, d d d d C, d d C, C, C, C, d C, O G C,
aa, M yM ,'^ a n -a Cr, rY Ln M .-- I ,--I ri SO -"I rn m m ry, a +J, w Nca r- m r- ru G ,-+ -1 rn u w m m (N m ra r C) w rv b
r ry100 a p, 00 if) Ln ulNr wri ["1 uID t- V, 1- 0, ct va .w r rf, In ri Ln r1 .-- 1 01 fJ I- i4 C [-- L(1 [K: m a, 1r,or- a+raG --1 m m-,r rw , Ln rwa c ,n u-1m rnmr- oC. ul [v ur) 0 ^1m C, ui'D0 r, H mC . [v rat .- 1 tv
CO a G a G a G G n G a G a G a a Cl
""
a' ['W N sue N C, N rl QY w W ,U i0' +r U~ r- LL, N 4 N + H rY .--1UQ mrrl n d rY 'fi LO ,te r- ao C, m N0] OY Cr, . Cr+d c
F-I n ' a r-1 r, r-1 c N br r - [- m 1* r.- m CV m -I In ,-1 ~1 m r- o af[: 11 N rl "T C, C] 11 w m w N m 1 Ln w 1 15 ,L, C 11, d LrI t-{1 +* a ,n -,r --N n Lo N o p m 'YD 0, t- tV Y M rr1 G \n -1r G+ N rl H +l a N m rW r-4 N +i, r rl ll'Y ,--I La rf f-l O'Y 4, r^] w r
l a a N a G a a a r+ G r+i .N ,w a G a a G a a a N a a
[,lw -
U m N a rW N b' m m U] 'rr L is CUNNrs, r: rr, n n 0, km 0, i, E*mu} -r m 0) 0 Ill " r1 N 60
[.a a". v, rwNm G rYm rr, r-.G ww arrY-4, C* rl Nmmrv+ u* a' q' Ck' f"i C, ^I rn t- [k3 {'] Lr5 N '1! W N [7Y N Lt, r w T t- r"1
,f -1'af Lr1 nr-l-arnt- CC 4i1 r1 In q, O, {rn GV 40 cP br CVw r? w m m a G N m a w fr, r+l w f-1 (+-, N +'Y r-I m , a b, rl
r-.r-wrk CaG rV U r+Y NG waGLp-tr--"-tm rw Lnwm" Cv I, ,f, cr m N 0' U, UY m Ch rv
- ,-1 , N LV f"i M
q, r1 '-1 ul W ul d ul I-- 0, .--1 r1 t- O? r- c, -r lV 7r- N b, lJ'Y mar' r- m m m N r" + en m w ,--1 a m a, N ,--1 On
*+O rv 4 .-- 1 th m DC0 t- ulN0[*1 C, sr U)l D 0) O O, 04 LLr L,7 (WUl ^ ,--1 r- r- r"1 G m m y, l1'Y rr, r+l m m G w a m m G lnl r at NE4 -- { r4 N t, r-i C, C, f"} V 1 C ,C C5 W Ct) N Cs 0 C; D Ill
oGG ,r ,p4C,44C,.-199Cr=,dd C,9IP1 GG
C3 iY i7 U U r -, G a U G a a G a G G a a G a CJ L d dulQ
4 NtiNCr- r 60 aim wr ,ten r- L, .Lr r- LU -h ".t .p [v 0 n N 1-- t- 0, t- r 10 Lr1 ,C rY d CO 1- .-- 1 C, 't r, r"[
w r-1 +J' o ri ,"1 H w N r- m m G [- f In +j' m w r w Uht" tr w I- m U r1 *P -1 r r- w m m ,--1 r- CD r r- N Lr1 q' t- ul
G: ttr In p ul H L? r1 w v' a CO V' r"Y r n r", t- u7 N 7' CO In r - 4nr ,n Ca :N .- am ul r oo Lr. Ln Lr1 rtirno rtiNmrfmo
."1 [V C, d d d d C3 d .- i d s Lf, rv G 4+ 4 .--1 a ."I a N
O
, w -macs r N , fV r1 -i' Ln. uY [- m a c r"r r,1 r-1 N m +r LYY
+"1 , , .- 1 ,-w w . IN fV IN IN fN tV N IN £V N N C* M rrY rv-: r, r-YN C, OY a Q, a. a, a a, m m m a m m m m m O, 84 d1 0, 0, LT Cr,
4, O, 0Y 0, O, & O1 0, 6Y C, 41 0, 0, 0, 0, O, q, 4, q, a a a" r"I C,
rv r'1 v Ifs t- 00 irr u, r 2 0' d ,--1 N rl ' ' Ln47 .4 . ."1 r+ -1 rl rm1 r-1 -1 M N N N N N N
M w
p P;
APPENDIX C4
Annual Runoff and Pollutant Concentrations
Cc -4i17 rv[n rn «y
r-I tr rr-iono
a u tiLr rv
a, ryv--I r-I
a c a
n :, C,
[V CV CONa a'rn m Q,
N r v'-r r^ m
LCiN lC" 7'
r Go ryLn N vu rn ryti'1' rl .-- I
rl
a C3 C7i
u1 [w b'LIl LT1 H
v o a
a a o
C4 CU r'ia C-' rqa w a
' f4 [--N r+y N
bU
LLrly [J- r*} s fw
C4 r r--t 17, v
C.{ C, cp C,
Cw
[v Cur tryw to t--
(N r- 7,. ti w o
r'l LJ N -," f'1 O S"
ILF
_ I11 N '4'C) n,yr r ry
- a a o
M 47 CDCAF
ulQ ri Npwrhrym Lfi a sr" I OJ eV
" r- Oi L,p
r r Nra
padrNriW o, o, m
cri a m
l H C\ i"YtW{Yy
APPENDIX C-5S
Hourly Mass Balance Data
n C) 0 0, Cn ch m m a a m a %n r j C C> (N q ' 1 7 C, ,-I fr, n M m m m m m m m[L t- t- t- r- r t- r- r r r- r-. M M N --:r r+i rl ¢, ,PI Lp C-' ,J', d G d d G U C Ctl C}
p; m m Mm M CO CO Cc MW C'G ra C, O[}+aw Lrl u-f ri r. bra ch O, O+ C, 4, 4, 4. L, a,LO r r- r r r-. r- S4 r- i4 f-- co i-p iv C ,4 m 41 rv v' a, co -:p
C0C Cq C, r, cb Ca cc o mt rnm +«rN quoNa, r~ r r r.r r rc, O C, C O c,
. . . . . . . . . . . . . . . . . . .
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n m tma.m mm a, a, ma, EN4,a, a, 4, a, al 4, 4, O, 0, mmr mr-imwr- r--im mmora rw ru rl nl rv rv rw
"Vw wt-t-0, rr W W ,P rr N N +rq N r-4 rr4.] w{+ wCr v3 D 'D w w w w w w ,n s7, r- 0 r- G} f-3 tiP m %V W rr, a+ N N r iv N N ni N
r-r-r-r-r-t-r t- r- r r ,acrymr o~7mrlnrtiGir-r r- - r r r- t- t-Ln v7 4r5 4'1 4n l!'1 !7 Ill In LT' Lr W rv tr r- W c, rl rv [v r1 r 1 r"+ rrl rl r1 r, rr1
,- '-I r-I r-I '-I M ,--I M r-I r", n1 .- fV N CV rV N N to rri [ , r", ,w, r^ rte, rn rvl rn rn rr
U G G G G G a G n G o 4, G ;, n n G G n 4, G G 6 G G G n G G dC> C Cp 0 C, e1 U Y} U U G a a O d d G G d G G d U G U CU U U O'2' C3
Gn p C n c, C Cry O C, O 00 ID U O C c, 0 0 0 00000, 0'DIJ VI lil ll'l N ,l'1 lf1 lJ', Ln Ln kn 0 Gil Ln n n Ln Ul G S5 G 6 6 G G G d G G
r- r- r- t- r r- r- r rr- r- mmmmmra nr r r- r- nr r rr r t-t-r Lrl Li Ln L I Uf LCI L! yl} Lf rV rW N f", rl rl f l r'+ ri r" r'l rl r1 rti frl rrl r 1 1 1
,-+ " - , , N M M rw r", m ri rl m m m m rv, r r"l rl r-[ r", rl rl r, r-l
Ca U G d d G d C, d G G rfi m a, m t] m m VY r" n r- d o d G G a G GW n 4, C 4 C: C, C n C , 43 0 -, W N w ' m 0, W N 0 C, C, 0 ,> C, C' = C.
G d G d G n 4 n C, C, -)" [V .-- I C. T1 rl 4, Ln tV r L!] G 4 P a d a GC U C] C. G G G a G d r'n l.fl d 1D M M C~ Lrl ' m G m G G U U 4 G
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_+ C+ CT C} i] C3 U C'} G O G G G G N G G a G a d G U G U C? L U L] r3 i1
r-h' W
MC4 .7 n G G a G d G G G G G d rH G M U} .a ""i r '7+ i!} m m a G a d G U d a
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ay L U G d d G G G G a a G .m +J, rN Fn Ck rV to N m m d G a G U U G CyCl C: ter, U C, 0)sr rv .- I ryr .f:mr"l 0 0 CCC>C, ,?Crj) G G n a n n G G G 41 n n n n G g 6 6 n d G G G G G d G
n ?nc- - ?C C, C, C. Or, 0 U C, 00 C 6 CC, 0 n C, C LD Z n;?nC;.
v7
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GG oGGGn Gnncn CC 9c, r.,nn 444a GP oGaaoa
U C C> C, C, r-, C+ 0 C, 0 U C Ca G d U G G G G C? G C] CJ c.: + C, 0 O O C,M
FdJ
HG rv ccGCCCCCGa, ,n .- , rMm.wNmmGmrrNC oGd oaoFrrnn ti,< - - C, C, 3Ca v'r c U) m0, r-, . rl D mrv 00 C, 0 C, C, 0'
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L]Q [, a G G n d
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G G m G G a o n n [', n C, [S C, C, n n p []
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n W G c G a G G G G G d d G n n 4 w G v} G 4n G o G d a G G a d G Gr C, ti O G t C+ ca ca Ca G rv m a o n m r,-f ,ti o C b G+ C+ C C+ O O C, C+ G
N G n i3 rj C, c, o C C C, C .- I W r C, C, 0 0 C, C. C, C C, C C c, C n C n 4
r C+ rJ C, V G C] CS G G G C G G d d G G d d G G Cy C] G C] L'3 C ti Gy t, O O
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Q v, YI I'l Lr, Ln ri, lJ', IJ Ln [+, Fn Ln 0 I!1 6r %n 0 0 Ln Ln Ln Ln ur vl v1 Ln u1 vl Lrl v1
r N -- i -- i rl r1 M ,--M rl ,-+ M M M M rM rl rl rl rl ,--i rl N M 'H -1 M - rl4^ a, 4, 41 a, a+ 0, 0s C, m L" Ol C, tr 05 L7, G, 0, Ch a' a, a, M a, Cn 4, a+ Q+ Chrn m m m a+ a, n, a+ a, a, a, a, 4, a, 4, a, a, 4, 4, a, a, a, 4T, a, m m m m a, m mr M ^I N r1 - I M wl +W ,"4 W .- "I w - r"4 ,.4 4 4 r-, M rl N .-- I , rl r1 .-- I l r
a, P: 1#: P, P; C4 P. w W IL w 0w ir: Ci w fr. x w CL a. a; R; 9 P; P; Pt 9 0. M M
m (i a P; .; . . R . . P, . g P. . rti . g . ie F l.r. . Q.
A W W L! w w w w w w w w w W w Lu r,., w W w w w Px W W W
APPENDIX C-6
Geometric and Hydraulic Data
Dec 9 16:10 vat flwl.dat 1
Geometric and hydraulle Data - Storage FacilityDepth Area Vol-V2 overflow Pac-0 AVG 02T AVCO2T+V2
FT FT2 FT3 CFS CF FT3 FT30.00E+00 0.67E+06 0.00E+00 0.00E+00 0-00E+00 0.00E+00 0.00E+000.28E-03 0.67E+06 0. 19E+03 0.0E+00 0-00E+00 0.00E+00 0.19E+030.56E-03 0.67E+06 0.37E+03 0.00E+0 0.00E+00 0.00E+00 0.37E+030-83E-03 0,67E+06 0.56E+03 0.00E+00 0.00E+00 0,00E400 0.56E+030.12Et00 0.67E+06 0.7BE+05 0.27E+01 0.00E+00 0.49E+04 0,.2E+050,23E+00 0.67E+06 0.15E+06 0.87E+01 0.00E+00 0.16E+05 0.17E+060.35E+00 0.67E+06 0.23E+06 0.17E+02 0.00E+00 0.31E+05 0.26E+060.46E+00 0.67E+06 0.31E+06 0.27E+02 0.00E+00 0.49E+05 0.36E+060,58E+00 0.67E+06 0.39E+06 0.40E+02 0.00E+00 0.72E+05 0.46E+060.69E+00 D,67E+06 0,46E+06 0.54E+02 O.00E+00 0.97E+05 0.56E+060,81E+00 0.67E+06 0.54E+06 0.70E+02 0.00E+00 0.13E+06 0.67E+060.92E+00 0.67E+06 0,62E+06 0.87E+02 0.00E+00 0.16E+06 0.77E+060.10E+01 0.67E+06 0.69E+06 0.11E+03 0.00E+00 0.19E+06 0.88E+060.12E+01 0.67E+06 0.77E+06 0.13E+03 0.00E+00 0.23E+06 0.10E+070.13E+01 D0.67E06 0.5+06 0,15E+03 0.00E+00 0.27E+06 0.11E+070.14E+01 0.67E+05 0.92E+06 0.17E+03 0.00E+00 0.31E+06 0.12E+070.15E+01 0.67E+'06 0.10E+07 0.20E+03 0.00E+00 0.35E+06 0.14E+070.16E+01 0.67E+06 0.11E+07 0.22E403 0.00E+00 0.40E+06 0.15E+070.17E+01 0.67E+06 0.12E+07 0.25E+03 0.00E+00 0.45E+06 0.16E+070.18E+01 0.67E+06 0.12E+07 0.28E+03 0.00E+00 0-50E+06 0.17E+070.20E+01 0.67E+06 0.13E+07 0,31E+03 0.00E+00 0.55E+06 0.19E+070.21E+01 0.67E+06 0.14E+07 0.34E+03 D;00E+00 0.61E406 0.20E+070.22E+01 0.67E+06 0.15E+07 0.37E+03 0.00E+00 0.66E+06 0,21E+070.23E+01 0.67E+06 0.15E+07 0.40E+03 0.00E+00 0.72E+06 0.23E+070.24E+01 0.67E+06 0.16E+07 0.44E+03 0.0DE+00 0.78E+06 0.24E+070.25E+01 0.67E+06 0.17E+07 0.47E+03 0.00E+00 0.85E+06 0.25E+070.27E+01 0.67E+06 0.18E+07 0.51E+03 0.00E+00 0,91E+06 0.27E+070.28E+01 0.67E+06 0.18E+07 0.54E+03 0.00E+00 0.98E+06 0,28E+070,29E+01 0,67E+06 0.19E+07 0.58E+03 0.00E+00 0.10E+07 0.30E+070.30E+01 0.67E+06 0.20E+07 0.62E+03 0.00E+00 0.11E+07 0.31E+07