Evaluation of BASINS/HSPF Runoff
Predictions
from a Claypan
Agricultural Watershed
Civil &
Environmental Engineering
Term Project
CEE 6440 GIS in Water
Resources
Table of Contents
1. Introduction
a. Importance of Watershed modeling
b. Brief discussion of BASINS/HSPF
c. Objectives
2. Site Description
a. Area
b. Soil Type
c. Land use
d. Watershed Topographic
3. Evaluation of BASINS default Parameters
4. Sensitivity Analysis
5. Model Calibration and Evaluation
6. Conclusion
A watershed is the geographic area
of land where all of the water that is under it or drains off it goes into the
same place. This is a drainage basin that divides the landscape into hydrologically defined areas. The
Watershed models typically simulate flow as a series of hydrologic and hydraulic processes. These processes include surface runoff and associated water quality characteristics.
Watershed management is a control of the quality and quantity of water and the effective human use of water resources within a watershed. Urbanization can alter the hydrology of a watershed, particularly the magnitude and frequency of storm related flooding. Quantifying changes in stream flow that result from urbanization are critical for planning and designing bridges, culverts, storm water-drainage systems, detention basins, and other storm water-management facilities. Because data on storm-runoff volume and flood flow in specific areas are commonly unavailable, and future changes in these flow characteristics that result from urbanization cannot be measured directly, planners and engineers have come to rely on computerized models for this information.
The Hydrologic Simulation Program
– FORTRAN (HSPF) is one of the most commonly used hydrologic models. Due to its
complexity HSPF requires extensive data input for an accurate simulation. To
facilitate use of the HSPF model, the United States Environmental Protection
Agency (EPA) has developed a management system which uses the
storage capabilities of the ArcView Grographic Information System to store, display, and
manipulate a database for the entire
Components of BASINS are;
i. Nationally derived databases with Data Extraction tools and Project Builders
ii. Assessment Tools (TARGET, ASSESS, and Data Mining) that address large and small scale characterization needs
iii. BASINS Utilities including watershed Delineation, Import, Landuse reclassification, DEM reclassification
iv. Watershed Characterization Reports that facilitate compilation and output of information on selected watersheds
v. Non-Point Source Model (NPSM) and postprocessor, which provide integrated assessment of watershed loading and transport
vi. Water Quality Models including TOXIROUTE and QUAL2E
The assessment component, working under the GIS umbrella, allows users to quickly evaluate selected areas, organize information, and display result.
The BASINS Non-Point Source Model (NPSM) is a planning-level watershed model that integrates both point and nonpoint sources. It is capable of simulating nonpoint sources runoff and associated pollutant loadings, accounting for point source discharges, and performing flow and water quality routing through stream reaches and well-mixed reservoirs. NSPM uses most of the simulation capabilities of the HSPF. HSPF is a continuous simulation model for watershed hydrology and water quality on and in the soil surface and in streams and surface and surface water reservoirs and streams. This model considers a basin or watershed comprising of 2 segments: land segment which including pervious and impervious and water body (streams, lakes, reservoirs). The main components of HSPF are three modules, PERLAND that simulates pervious land segment, IMPLAND that simulates impervious land segment, and RCHRES that routes runoff through reservoir while simulating instream processes.
In this project, pervious land segment is considered. The hydrologic components of HSPF are rainfall or now, interception, depression storage, evapotranspiration, infiltration, surface storage, runoff, interflow, and groundwater flow.
The objectives of this project are to run BASIN/HSPF modeling program and evaluate runoff predictions using BASINS default parameters. First using BASINS watershed delineation tool, the Crooked Creek, a sub-watershed within HUC 07110005, is delineated. An input file, User Control Input (UCI), including BASINS default parameters, is created by running NPSM. A sensitivity evaluation is performed to analyze which parameters would be the most sensitive. Based on this sensitivity evaluation, the model is calibrated with changing sensitive parameters for the Crooked Creek Watershed.
The study area for the watershed
model is the Crooked Creek. The Crooked Creek is located within
The major soil type of this projected area is Mexico Silt Loam. Sub-surface soil includes sandy clays and fine clays consisting of Koalinite and Bentonite. The following figure is for the percent of Silt and Clay and the soil permeability by map unit in the delineated sub-watershed, Crooked Creek.
Table Soil statistics - Summary by subwatershed ( Parameter: Permeability (in/hr)).
=============================================================
Statistics 07110005008 Composite
-------------------------------------------------------------
Area (acre) 70038 70038
Mean 0.25 0.25
Min 0.23 0.23
Max 0.91 0.91
=============================================================
Note: Type of Estimate: Mean; Components: Area-weighted; Layers: Depth-integration.
Table Soil distribution by STATSGO Map Unit.
=================================================================================
Map Unit Area (acre) Percent Silt and Clay (%)
---------------------------------------------------------------------------------
Subwatershed: 07110005008
MO018 6077 65.77
MO023 63877 86.00
MO029 84 89.68
=================================================================================
Note: Type of Estimate: Mean; Components: Area-weighted; Layers: Depth-integration.
BASINS 2.0 interface land use data was downloaded from the BASINS web site (USEPA). The default land use data supplied in BASINS was obtained from the USGS Geographic Information Retrieval and Analysis System (GIRAS) and uses the Anderson Level I and II classification systems. The GIRAS land use data is based upon data collected by the USGS in the 1970’s. This land use data was applied for the calibration period.
Multi Resolution Land Characterization (MRLC) land use data was imported into the BASINS system for simulation periods beyond 1990. This data was taken from the Watershed Characterization System (WCS) (USEPA), which is interfaced with the Arc View 3.0 package. The MRLC land use information data is based on Landsat Thematic Mapper digital images and utilizes a modified Anderson Level I and II system for classification.
Land use in Crooked Creek is calculated by BASINS Landuse Distribution Report. The following table and Figure are obtained.
Land Use Name and Code |
Area (acres) |
Urban or Built-up Land RESIDENTIAL –
11 COMMERCIAL
AND SERVICES – 12 INDUSTRIAL –
13 OTHER URBAN
OR BUILT-UP – 17 Subtotal |
438 31 38 66 573 |
Agricultural Land CROPLAND AND
PASTURE – 21 Subtotal |
63661 63661 |
DECIDUOUS Subtotal |
5970 5970 |
Total |
70204 |
Delineation of the watershed was based on the RF1 and RF3 reach networks along with the watershed topography. The reach networks are characterized by their complexity, with RF1 networks containing only major streams whereas RF3 networks include minor streams and tributaries. The following figure shows the delineated sub-watershed, Crooked Creek, from Catalog Unit #07110005.
To evaluate the model for the
Crooked Creek Watershed, NPSM is performed with the default parameters. The
NSPM also requires other meterological data; including
evaporation, temperature, wind speed, solar radiation, potential evapotranspiration, dew point temperature, and cloud cover.
These variables must be supplied in the Watershed Data Management (WDM) input
file in order to run the NSPM model. Meteorological data was given from the
Shelbina weather station. Meteorological data was simulated for the years 1980
~ 1995. Output variables were selected “
Categories |
Parameters |
Water Balance |
LZSN, LZETP, INFILT, DEEPFR |
Groundwater |
INFILT, AGWRC, DEEPFR, BASETP |
Surface Runoff |
UZSN, INTFLW, IRC, LUSR, NSUR, SLSUR |
In the following table, definition, default value, and range of each parameter which is considered in performing a model for the Crooked Creek Watershed are shown.
Data Group |
Symbol |
Definition |
Default Value |
Minimum Value |
Maximum Value |
PWAT- PARM2 |
LZSN |
Lower zone nominal storage |
14.10 |
0.01 |
100.0 |
INFILT |
Index to the infiltration
capacity of the soil |
0.16 |
0.0001 |
100.0 |
|
LSUR |
Length of the assumed
overland flow plane |
300 |
1.0 |
None |
|
SLSUR |
Slope |
0.035 |
0.0000001 |
10.0 |
|
AGWRC |
Basic groundwater recession
rate if KVARY is 0 and there is no inflow to groundwater |
0.98 |
0.001 |
0.999 |
|
PWAT- PARM3 |
DEEPFR |
Fraction of groundwater
inflow which will enter deep (inactive) groundwater and be lost |
0.10 |
0.0 |
1.0 |
BASETP |
Fraction of potential E-T
which can be satisfied from baseflow (groundwater
outflow) |
0.02 |
0.0 |
1.0 |
|
PWAT- PARM4 |
UZSN |
Upper zone nominal storage |
1.1280 |
0.01 |
10.0 |
NSUR |
Manning’s n for the assumed
overland flow plane |
0.02 |
0.001 |
1.0 |
|
INTFW |
Interflow inflow parameter |
0.75 |
0.0 |
None |
|
IRC |
Interflow recession
parameter |
0.5 |
1.0E-30 |
0.999 |
|
LZETP |
Lower zone E-T parameter.
It is an index to the density of deep-rooted vegetation |
0.10 |
0.0 |
0.999 |
The next table is showing the difference (%) of between measured value and predicted value using BASINS default parameter.
|
PERO* |
SURO* |
Base Flow* |
Measured Value |
287.59 |
244.45 |
43.14 |
Predicted Value |
298.64 |
32.14 |
266.49 |
Difference % |
-4% |
87% |
-518% |
*
PERO ; Total outflow (m3/s)
SURO ; Surface outflow(m3/s)
Base
flow ; IFWO (Interflow) + AGWO (Groundwater flow) (m3/s)
4. Sensitivity Analysis
As you see the above table, there are very big differences on the PERO, SURO, and Base Flow. Before performing a calibration for the model, sensitivity analysis is needed for helping calibrate the Crooked Creek Watershed Model to its measured data. For this analysis, the default values are changed in the range of around 50% to 200%.
In the following table, the result of sensitivity analysis is shown.
Symbol |
Value |
PERO
(m3/s) |
SURO
(m3/s) |
Base Flow (m3/s) |
LZSN |
14.10* 12.05 25 |
298.64 310.67 285.51 |
32.14 37.72 28.70 |
266.5 272.95 256.81 |
LZETP |
0.1* 0.05 0.2 |
298.64 298.64 298.64 |
32.14 32.14 32.14 |
266.50 266.50 266.50 |
INFILT |
0.16* 0.08 0.32 |
298.64 289.63 311.26 |
32.14 60.84 13.36 |
266.50 228.79 297.90 |
DEEPFR |
0.1* 0.05 0.16 |
298.64 313.37 280.96 |
32.14 32.14 32.14 |
266.50 281.23 248.82 |
AGWRC |
0.98* 0.49 0.99 (max.) |
298.64 305.30 295.22 |
32.14 31.84 32.14 |
266.50 273.46 263.08 |
BASETP |
0.02* 0.01 0.04 |
298.64 303.16 290.40 |
32.14 31.56 33.31 |
266.50 271.60 257.09 |
UZSN |
1.1280* 0.564 1.590 |
298.64 320.36 287.40 |
32.14 47.49 25.16 |
266.50 272.87 262.24 |
INTFW |
0.75* 0.1875 0.375 |
298.64 297.33 297.33 |
32.14 42.09 42.05 |
266.50 255.24 255.28 |
IRC |
0.5* 0.25 0.75 |
298.64 298.64 298.64 |
32.14 32.14 32.14 |
266.50 266.50 266.50 |
LSUR |
300* 150 600 |
298.64 299.58 297.78 |
32.14 36.97 26.76 |
266.50 262.61 271.02 |
NSUR |
0.02* 0.01 0.04 |
298.64 299.58 297.78 |
32.14 36.97 26.76 |
266.50 262.61 271.02 |
SLSUR |
0.035* 0.0175 0.07 |
298.64 298.18 299.11 |
32.14 29.52 34.62 |
266.50 268.66 264.49 |
*
Given default value in this
project
From the above table, we recognized that the parameters, LZSN, DEEPFR, BASETP, and USZN are sensitive for this model on the watershed, whereas the parameters, LZETP, IRC are not sensitive.
5. Model Calibration and Evaluation.
After several trials, the original default values are revised for the suitable model. The revised parameter values are following in the table.
Parameter |
Default |
Revised Default |
LZSN INFILT LSUR SLSUR AGWRC DEEPFR BASETP UZSN NSUR INTFW IRC LZETP |
14.10 0.16 300 0.035 0.98 0.10 0.02 1.1280 0.02 0.75 0.5 0.1 |
18.5 0.009 300 0.035 0.96 0.1 0.08 1.25 0.01 0.65 0.5 0.1 |
PERO (m3/s) SURO (m3/s) Baseflow (m3/s) |
298.64 32.143 266.50 |
287.20 243.58 43.62 |
The best result of the model using revised parameters for Crooked Creek Watershed is following.
|
PERO (m3/s) |
SURO (m3/s) |
Base Flow (m3/s) |
Measured Value |
287.59 |
244.45 |
43.14 |
Revised Value |
287.20 |
243.58 |
43.62 |
Difference % |
0.14% |
0.36% |
-1.11% |
6. Conclusion
As you see the above table, the difference is much reduced in contrast with first difference by the default values. The model for Crooke Creek Watershed is now completely calibrated for the average of Total flow, Surface flow, and Groundwater over the years of from 1980 to 1995.
According to “Crooked Creek Watershed Project,” an atrazine is concerning in this watershed, and concerns regarding sediment and nutrient loading are also increasing.
In next modeling, I will try to simulation with considering the environmental factors that currently threaten the watershed.
7. Reference
Lahiou, M et al., Better Asseeement Science Integrating Point and
“Crooked Creek Watershed Project”
Data Sources
The
BASINS Input data http://www.epa.gov/OST/BASINS/
Center for Agricultural Resource and Environmental Systems http://cares.missouri.edu/