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A SPATIAL DECISION SUPPORT SYSTEM FOR ASSESSING AGRICULTURAL NONPOINT SOURCE POLLUTION 1
Author(s) -
Srinivasan R.,
Engel B. A.
Publication year - 1994
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.1994.tb03303.x
Subject(s) - nonpoint source pollution , pollution , watershed , geographic information system , environmental science , surface runoff , decision support system , spatial decision support system , computer science , visualization , spatial analysis , water pollution , agricultural pollution , hydrology (agriculture) , remote sensing , data mining , engineering , geology , machine learning , ecology , biology , chemistry , geotechnical engineering , environmental chemistry
A spatial decision support system (SDSS) was developed to assess agricultural nonpoint source (NPS) pollution using an NPS pollution model and geographic information systems (GIS). With minimal user interaction, the SDSS assists with extracting the input parameters for a distributed parameter NPS pollution model from user‐supplied GIS base layers. Thus, significant amounts of time, labor, and expertise can be saved. Further, the SDSS assists with visualizing and analyzing the output of the NPS pollution simulations. Capabilities of the visualization component include displays of sediment, nutrient, and runoff movement from a watershed. The input and output interface techniques/algorithms used to develop the SDSS, along with an example application of the SDSS, are described.