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SWIM (Soil and Water Integrated Model)

Abstract

The model SWIM (Soil and Water Integrated Model) was developed in order to provide a comprehensive GIS-based tool for hydrological and water quality modelling in mesoscale and large river basins (from 100 to 10,000 km{sup 2}), which can be parameterised using regionally available information. The model was developed for the use mainly in Europe and temperate zone, though its application in other regions is possible as well. SWIM is based on two previously developed tools - SWAT and MATSALU (see more explanations in section 1.1). The model integrates hydrology, vegetation, erosion, and nutrient dynamics at the watershed scale. SWIM has a three-level disaggregation scheme 'basin - sub-basins - hydrotopes' and is coupled to the Geographic Information System GRASS (GRASS, 1993). A robust approach is suggested for the nitrogen and phosphorus modelling in mesoscale watersheds. SWIM runs under the UNIX environment. Model test and validation were performed sequentially for hydrology, crop growth, nitrogen and erosion in a number of mesoscale watersheds in the German part of the Elbe drainage basin. A comprehensive scheme of spatial disaggregation into sub-basins and hydrotopes combined with reasonable restriction on a sub-basin area allows performing the assessment of water resources and water quality with SWIM in  More>>
Publication Date:
Dec 01, 2000
Product Type:
Technical Report
Report Number:
PIK-69
Reference Number:
EDB-01:080319
Resource Relation:
Other Information: PBD: Dec 2000
Subject:
54 ENVIRONMENTAL SCIENCES; WATERSHEDS; COMPUTERIZED SIMULATION; SOILS; HYDROLOGY; EROSION; PLANTS; NUTRIENTS; INFORMATION SYSTEMS; GEOGRAPHY; WATER QUALITY; RIVERS; LAND USE; CLIMATIC CHANGE; CLIMATE MODELS
OSTI ID:
20170564
Research Organizations:
Potsdam-Institut fuer Klimafolgenforschung (PIK), Potsdam (Germany)
Country of Origin:
Germany
Language:
English
Other Identifying Numbers:
TRN: DE01G8545
Availability:
Available to ETDE participating countries only(see www.etde.org); commercial reproduction prohibited; OSTI as DE20170564
Submitting Site:
DE
Size:
239 pages
Announcement Date:
Sep 28, 2001

Citation Formats

Krysanova, V, Wechsung, F, Arnold, J, Srinivasan, R, and Williams, J. SWIM (Soil and Water Integrated Model). Germany: N. p., 2000. Web.
Krysanova, V, Wechsung, F, Arnold, J, Srinivasan, R, & Williams, J. SWIM (Soil and Water Integrated Model). Germany.
Krysanova, V, Wechsung, F, Arnold, J, Srinivasan, R, and Williams, J. 2000. "SWIM (Soil and Water Integrated Model)." Germany.
@misc{etde_20170564,
title = {SWIM (Soil and Water Integrated Model)}
author = {Krysanova, V, Wechsung, F, Arnold, J, Srinivasan, R, and Williams, J}
abstractNote = {The model SWIM (Soil and Water Integrated Model) was developed in order to provide a comprehensive GIS-based tool for hydrological and water quality modelling in mesoscale and large river basins (from 100 to 10,000 km{sup 2}), which can be parameterised using regionally available information. The model was developed for the use mainly in Europe and temperate zone, though its application in other regions is possible as well. SWIM is based on two previously developed tools - SWAT and MATSALU (see more explanations in section 1.1). The model integrates hydrology, vegetation, erosion, and nutrient dynamics at the watershed scale. SWIM has a three-level disaggregation scheme 'basin - sub-basins - hydrotopes' and is coupled to the Geographic Information System GRASS (GRASS, 1993). A robust approach is suggested for the nitrogen and phosphorus modelling in mesoscale watersheds. SWIM runs under the UNIX environment. Model test and validation were performed sequentially for hydrology, crop growth, nitrogen and erosion in a number of mesoscale watersheds in the German part of the Elbe drainage basin. A comprehensive scheme of spatial disaggregation into sub-basins and hydrotopes combined with reasonable restriction on a sub-basin area allows performing the assessment of water resources and water quality with SWIM in mesoscale river basins. The modest data requirements represent an important advantage of the model. Direct connection to land use and climate data provides a possibility to use the model for analysis of climate change and land use change impacts on hydrology, agricultural production, and water quality. (orig.)}
place = {Germany}
year = {2000}
month = {Dec}
}