Development Of A Watershed Modelling Approach To Assess The Impacts Of Biofuel Feedstock On Water Quality In The Upper Mississippi River Basin
Price
Free (open access)
Transaction
Volume
182
Pages
8
Published
2014
Size
1,132 kb
Paper DOI
10.2495/WP140311
Copyright
WIT Press
Author(s)
D. J. Lampert & M. M. Wu
Abstract
The United States Energy Independence and Security Act of 2007 mandates production of 36 billion gallons of renewable fuel per year by 2022 in the United States, most of which will be met by biofuels. An essential component in meeting this challenge will be to produce biofuel feedstock in a sustainable manner, including quantifying the effects of biofuel production on water quality. Herein, the integration of several recently developed geographic information systems (GIS) datasets and the Hydrologic Simulation Program in Fortran (HSPF) using the Python Programming Language are presented. The approach allows for rapid development and calibration of an HSPF model for assessing agricultural runoff. Keywords: watershed modelling, geographic information systems, pesticides , Python programming.
Keywords
watershed modelling, geographic information systems, pesticides , Python programming.
