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AN INTERACTWE MODELING ENVIRONMENT FOR NON‐POINT SOURCE POLLUTION CONTROL 1
Author(s) -
Liao HsiuHua,
Tim U.S.
Publication year - 1997
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.1752-1688.1997.tb03534.x
Subject(s) - nonpoint source pollution , computer science , geographic information system , watershed , water quality , watershed management , interface (matter) , database , point source pollution , environmental science , remote sensing , geography , operating system , ecology , bubble , machine learning , maximum bubble pressure method , biology
Non‐point source pollution cuntinues to be an important environmental and water quality management problem. For the moat part, analysis of non‐point source pollution in watersheds has depended on the use of distributed models to identify potential problem areas and to assess the effectiveness of alternative management practices. To effectively use these models for watershed water quality management, users depend on integrated geographic information systems (GIS)‐based interfaces for input/output data management. However, existing interfaces are ad‐hoc and the utility of GIS is limited to organization of input data and display of output data. A highly interactive water quality modeling interface that utilizes the functional components and analytical capability of GIS is highly desirable. This paper describes the tight coupling of the Agricultural Non‐point Source (AGNPS) water quality model and ARC/INFO GIS software to provide an interactive hybrid modeling environment for evaluation of non‐point source pollution in a watershed. The modeling environment is designed to generate AGNPS input parameters from user‐specified GIS coverages, create AGNPS input data files, control AGNPS model simulations, and extract and organize AGNPS model output data for display. An example application involving the estimation of pesticide loading in a southern Iowa agricultural watershed demonstrates the capability of the modeling environment. Compared with traditional methods of watershed water quality modeling using the AGNPS model or other ad‐hoc interfaces between a distributed model and GIS, the interactive modeling environment system is efficient and significantly reduces the task of watershed analysis using tightly coupled GIS databases and distributed models.