Abstract
Despite the widespread use of GIS over the past ten years, it has had limited application for statewide modeling of pollutant loadings such as sediment, nitrogen, and phosphorus. Related literature on possible approaches to statewide modeling is also limited. In this study a GIS-based screening model was used to rank 104 watersheds in Pennsylvania for nonpoint pollution potential. The goals of this project were to: select important processes and parameters of watersheds that contribute to water quality degradation, develop appropriate statewide data, develop a ranking model to use the data and verify the model by comparing results with existing water quality data for specific watersheds. The GIS database consisted of watershed boundaries, land cover, animal density, topography, soils, precipitation and rainfall erosivity. The 104 watersheds were ranked by the Agricultural Pollution Potential Index (APPI) - a ranking model comprised of the following four separate components: the Sediment Production Index (SPI) assesses the potential interrill and rill erosion and sediment delivery from field to stream, the Runoff Index (RI) predicts the watershed's potential to produce surface runoff, the Animal Loading Index (ALI) ranks the potential manure production within a watershed, the Chemical Use Index (CUI) ranks the potential for agricultural pollution production from use of commercial chemical applications to the various agricultural lands. Ranking watersheds in Pennsylvania by their agricultural pollution potential was completed and critical pollution production areas were identified.
| Original language | English (US) |
|---|---|
| Title of host publication | GIS/LIS 1991 Proceedings |
| Publisher | Publ by ASPRS |
| Pages | 593-605 |
| Number of pages | 13 |
| ISBN (Print) | 0944426751 |
| State | Published - Dec 1 1991 |
| Event | Proceedings of GIS/LIS '91 - Atlanta, GA, USA Duration: Oct 28 1991 → Nov 1 1991 |
Publication series
| Name | GIS/LIS 1991 Proceedings |
|---|---|
| Volume | 2 |
Other
| Other | Proceedings of GIS/LIS '91 |
|---|---|
| City | Atlanta, GA, USA |
| Period | 10/28/91 → 11/1/91 |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
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}
GIS-based watershed rankings for nonpoint pollution in Pennsylvania. / Hamlett, J. M.; Petersen, G. W.; Baumer, G. M.; Miller, Douglas Alan; Day, Rick Lane.
GIS/LIS 1991 Proceedings. Publ by ASPRS, 1991. p. 593-605 (GIS/LIS 1991 Proceedings; Vol. 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - GIS-based watershed rankings for nonpoint pollution in Pennsylvania
AU - Hamlett, J. M.
AU - Petersen, G. W.
AU - Baumer, G. M.
AU - Miller, Douglas Alan
AU - Day, Rick Lane
PY - 1991/12/1
Y1 - 1991/12/1
N2 - Despite the widespread use of GIS over the past ten years, it has had limited application for statewide modeling of pollutant loadings such as sediment, nitrogen, and phosphorus. Related literature on possible approaches to statewide modeling is also limited. In this study a GIS-based screening model was used to rank 104 watersheds in Pennsylvania for nonpoint pollution potential. The goals of this project were to: select important processes and parameters of watersheds that contribute to water quality degradation, develop appropriate statewide data, develop a ranking model to use the data and verify the model by comparing results with existing water quality data for specific watersheds. The GIS database consisted of watershed boundaries, land cover, animal density, topography, soils, precipitation and rainfall erosivity. The 104 watersheds were ranked by the Agricultural Pollution Potential Index (APPI) - a ranking model comprised of the following four separate components: the Sediment Production Index (SPI) assesses the potential interrill and rill erosion and sediment delivery from field to stream, the Runoff Index (RI) predicts the watershed's potential to produce surface runoff, the Animal Loading Index (ALI) ranks the potential manure production within a watershed, the Chemical Use Index (CUI) ranks the potential for agricultural pollution production from use of commercial chemical applications to the various agricultural lands. Ranking watersheds in Pennsylvania by their agricultural pollution potential was completed and critical pollution production areas were identified.
AB - Despite the widespread use of GIS over the past ten years, it has had limited application for statewide modeling of pollutant loadings such as sediment, nitrogen, and phosphorus. Related literature on possible approaches to statewide modeling is also limited. In this study a GIS-based screening model was used to rank 104 watersheds in Pennsylvania for nonpoint pollution potential. The goals of this project were to: select important processes and parameters of watersheds that contribute to water quality degradation, develop appropriate statewide data, develop a ranking model to use the data and verify the model by comparing results with existing water quality data for specific watersheds. The GIS database consisted of watershed boundaries, land cover, animal density, topography, soils, precipitation and rainfall erosivity. The 104 watersheds were ranked by the Agricultural Pollution Potential Index (APPI) - a ranking model comprised of the following four separate components: the Sediment Production Index (SPI) assesses the potential interrill and rill erosion and sediment delivery from field to stream, the Runoff Index (RI) predicts the watershed's potential to produce surface runoff, the Animal Loading Index (ALI) ranks the potential manure production within a watershed, the Chemical Use Index (CUI) ranks the potential for agricultural pollution production from use of commercial chemical applications to the various agricultural lands. Ranking watersheds in Pennsylvania by their agricultural pollution potential was completed and critical pollution production areas were identified.
UR - http://www.scopus.com/inward/record.url?scp=0026374375&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0026374375&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0026374375
SN - 0944426751
T3 - GIS/LIS 1991 Proceedings
SP - 593
EP - 605
BT - GIS/LIS 1991 Proceedings
PB - Publ by ASPRS
ER -