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Title: SPACE-TIME MODELING OF AGRICULTURAL LANDSCAPE VARIABILITY USING AGSIMGIS

Author
item Ascough Ii, James
item Green, Timothy
item CIPRA, JAN - COLORADO STATE UNIVERSITY
item Ahuja, Lajpat
item Ma, Liwang

Submitted to: Annual Hydrology Days Conference Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 3/11/2004
Publication Date: 3/11/2004
Citation: Ascough Ii, J.C., Green, T.R., Cipra, J.E., Ahuja, L.R., Ma, L. 2004. Space-time modeling of agricultural landscape variability using agsimgis. Annual Hydrology Days Conference Proceedings. March 10-12, 2004. Fort Collins, CO. pp. 10-21.

Interpretive Summary: Most agricultural water quality models are based on lumped parameterizations of spatial processes. The AgSimGIS water quality tool has been developed to predict space-time planning scenarios across spatially variable agricultural landscapes. The tool runs under the ArcGIS 8.3 environment, and consists of a multi-functional system for simulation modeling and spatial data storage, analysis, and display. AgSimGIS offers a spatial framework for integrating a complex, agricultural system water quality model (modified USDA-ARS RZWQM) with interaction between simulated land areas via overland runoff and runon. AgSimGIS also provides the increased interface sophistication necessary for distributed hydrologic modeling. AgSimGIS development history, including an overview of the major GIS and simulation modeling components, will be presented.

Technical Abstract: Most agricultural water quality models are based on lumped parameterizations of spatial processes. The AgSimGIS water quality tool has been developed to predict space-time planning scenarios across spatially variable agricultural landscapes. The tool runs under the ArcGIS 8.3 environment, and consists of a multi-functional system for simulation modeling and spatial data storage, analysis, and display. AgSimGIS offers a spatial framework for integrating a complex, agricultural system water quality model (modified USDA-ARS RZWQM) with interaction between simulated land areas via overland runoff and runon. AgSimGIS also provides the increased interface sophistication necessary for distributed hydrologic modeling. AgSimGIS development history, including an overview of the major GIS and simulation modeling components, will be presented.