Grassland, Soil and Water Research Laboratory Site Logo
ARS Home About Us Helptop nav spacerContact Us En Espanoltop nav spacer
Printable VersionPrintable Version     E-mail this pageE-mail this page
Agricultural Research Service United States Department of Agriculture
Search
  Advanced Search
 
Programs and Projects
Subjects of Investigation
ALMANAC Simulation Model
ALMANAC Applications
Hydrologic Data
Rangeland Research
Poultry Litter Application
Wheat Study 2003
Corn Fertility Study
Impact of Biological Control Agents on Musk Thistle Populations
MANAGE Nutrient Loss Database
Hydrologic Data Collection and Water Quality Sampling
Reprints Relevant to ALMANAC
Almanac Switchgrass
ALMANAC - Forestry Simulation
ALMANAC - Switchgrass Field Research Simulation
ALMANAC -Biofuel grass nutrient cycling
ALMANAC - Rangeland CEAP
Publications on Riesel Data and History
US Climatic Data
Hydrologic Data
Models
Atmospheric CO2 Research Group
 

Research Project: DEVELOPMENT OF MODELS AND CONSERVATION PRACTICES FOR WATER QUALITY MANAGEMENT AND RESOURCE ASSESSMENTS

Location: Grassland, Soil and Water Research Laboratory

Title: Development of an automated procedure for estimation of the spatial variation of runoff in large river basins

Authors
item Kannan, Narayanan -
item Santhi, Chinnasamy -
item Arnold, Jeffrey

Submitted to: Journal of Hydrology
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: June 3, 2008
Publication Date: September 15, 2008
Citation: Kannan, N., Santhi, C., Arnold, J.G. 2008. Development of an automated procedure for estimation of the spatial variation of runoff in large river basins. Journal of Hydrology. 359(1-2):1-15.

Interpretive Summary: The Conservation Effects Assessment Project (CEAP) was developed to determine the environmental impact of USDA conservation practices in the U.S. A modeling system was developed to take climate, soils, topographic and land management information and determine the fate and transport of sediment, nutrients and pesticides in the nation’s waters. To assure accurate results, the model is calibrated and validated with measured data. Using current calibration procedures, the calibration process can take days to run on a desktop computer. In this study, an automated calibration procedure was developed that is efficient (running in a few hours instead of days or weeks) and gives satisfactory results. The new procedure is simple, efficient and improves spatial accuracy of model calibration.

Technical Abstract: The use of distributed parameter models to address water resource management problems has increased in recent years. Calibration is necessary to reduce the uncertainties associated with model input parameters. Manual calibration of a distributed parameter model is a very time consuming effort. Therefore, more attention is given to automated calibration procedures. This paper describes the development and demonstration of such an automated procedure developed for a national/continental scale assessment study called Conservation Effects Assessment Project (CEAP). The automated procedure is developed to calibrate spatial variation of annual average runoff components for each USGS eight-digit watershed of the United States. It uses nine parameters to calibrate water yield, surface runoff and sub-surface flow respectively. If necessary, the procedure uses a linear interpolation method to arrive at a better value of a model parameter. When tested for the Upper Mississippi river basin of the United States, the automated calibration procedure gave satisfactory results. Other test results from the procedure are very encouraging and show potential for its use in very large-scale hydrologic modeling studies.

   

 
Project Team
Arnold, Jeffrey
Kiniry, James
White, Michael
Harmel, Daren
 
Publications
   Publications
 
Related National Programs
  Water Availability and Water Management (211)
  Climate Change, Soils, and Emissions (212)
 
 
Last Modified: 05/18/2013
ARS Home | USDA.gov | Site Map | Policies and Links 
FOIA | Accessibility Statement | Privacy Policy | Nondiscrimination Statement | Information Quality | USA.gov | White House