Impacts of uncertainty on policy costs of managing nonpoint source ground water contamination.
Abstract
Abstract
Ground water contamination from agricultural nitrates poses potential adverse health effects to a large segment of the rural population of the US. Unlike point source contaminants, these contaminants are often stochastic in nature. A mixed integer programming model of a representative dairy farm in Rockingham County, Virginia with stochastic constraints (generated by a physical transport model) on nitrate loading to ground water and silage production was used to simulate the impacts of considering the annual variability in nitrate loading on policy costs. The results imply substantially higher policy costs than when average loadings alone were considered. -Authors
Department
Natural Resources and the Environment
Publication Date
1991
Journal Title
Journal of Sustainable Agriculture
Publisher
Taylor & Francis
Digital Object Identifier (DOI)
10.1300/J064v01n04_04
Document Type
Article
Recommended Citation
Halstead, J.M., Batie, S.S., Taylor, D.B., Heatwole, C.D., Diebel, P.L., Kramer, R.A. Impacts of uncertainty on policy costs of managing nonpoint source ground water contamination. (1991) Journal of Sustainable Agriculture, 1 (4), pp. 29-48.