Use of the Soil-Plant-Air-Water Model to Predict Hydraulic Performance of Vegetative Treatment Areas Controlling Open Lot Runoff

Date
2010-01-01
Authors
Helmers, Matthew
Andersen, Daniel
Andersen, Daniel
Burns, Robert
Moody, Lara
Helmers, Matthew
Horton, Robert
Horton, Robert
Pederson, Carl
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Altmetrics
Research Projects
Organizational Units
Journal Issue
Series
Department
Agricultural and Biosystems Engineering
Abstract

Alternative treatment systems to control runoff from open beef feedlots may enhance environmental security and protect water quality. Several Midwestern states have issued National Pollution Discharge Elimination System permits allowing beef feedlots to use vegetative treatment systems (VTSs) to control and treat feedlot runoff. Monitoring VTSs has provided data to validate performance modeling strategies. The objective of this study was to evaluate the ability of the Soil-Plant-Air-Water (SPAW) model to predict the hydraulic performance of vegetative treatment areas (VTAs). Two approaches, one using the field module and the other the pond module of the SPAW model, were investigated. The model results from the SPAW field and pond modules were compared to monitored performance data from five VTAs in Iowa. Modeling statistics were calculated to evaluate SPAW's ability to predict VTA hydraulic performance. Based on the 18 site-years of data collected, the Nash-Sutcliffe efficiency (NSE), percent bias (BIAS), and ratio of the root mean square error to the standard deviation (RSR) were 0.95, 8%, and 0.22, respectively, on an annual basis. The NSE, BIAS, and RSR for the field module were 0.32, 32%, and 0.83, respectively. The results showed that the SPAW model could be used successfully to predict the hydraulic performance of VTAs, with the pond module being more successful than the field module.

Comments

This article is from Transactions of the ASABE 53, no. 2 (2010): 537–543.

Description
Keywords
Citation
DOI
Source
Collections