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INTEGRATION OF A BASIN‐SCALE WATER QUALITY MODEL WITH GIS 1
Author(s) -
Srinivasan R.,
Arnold J. G.
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.tb03304.x
Subject(s) - nonpoint source pollution , watershed , water quality , geographic information system , soil and water assessment tool , environmental science , structural basin , swat model , hydrology (agriculture) , scale (ratio) , remote sensing , computer science , drainage basin , geology , cartography , geography , streamflow , ecology , paleontology , geotechnical engineering , machine learning , biology
Geographic Information Systems (GIS) have been successfully integrated with distributed parameter, single‐event, water quality models such as AGNPS (AGricultural NonPoint Source) and ANSWERS (Areal Nonpoint Source Watershed Environmental Response Simulation). These linkages proved to be an effective way to collect, manipulate, visualize, and analyze the input and output date of water quality models. However, for continuous‐time, basin large‐scale water quality models, collecting and manipulating the input data are more time‐consuming and cumbersome due to the method of disaggregation (subdivisions are based on topographic boundaries). SWAT (Soil and Water Assessment Tool), a basin‐scale water quality model, was integrated with a GIS to extract input data for modeling a basin. This paper discusses the detailed development of the integration of the SWAT water quality model with GRASS (Geographic Resources Analysis Support System) GIS, along with an application and advantages. The integrated system was applied to simulated a 114 sq. km upper portion of the Seco Creek Basin by subdividing it into 37 subbasins. The average monthly predicted streamflw is in agreement with measured monthly streamflw values.