The Distributed Hydrology Soil Vegetation Model. In: Mathematical Models of Small Watershed Hydrology and Applications

The use of distributed physically based models in environmental analysis is becoming more common as greater demands are placed on hydrologic models, particularly for problems involving prediction of future hydrologic conditions resulting from changes in land use or climate. The Distributed Hydrology Soil Vegetation Model (DHSVM) is a physically based model that provides a dynamic representation of the spatial distribution of evapotranspiration, snow cover, soil moisture, and runoff at the spatial scale of digital elevation model data. The model has evolved significantly over the last several years to enable it to address a wide range of applied and research activities. This chapter presents a description of the current state of the model including field test results and example applications.

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Publication Details

Journal
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Published
2024-10-25
Citations
5
Primary Topic
Hydrology and Watershed Management Studies
Type
article
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article

The Distributed Hydrology Soil Vegetation Model. In: Mathematical Models of Small Watershed Hydrology and Applications

Mark S. Wigmosta
5 citations
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Hydrology and Watershed Management Studies
article

The Distributed Hydrology Soil Vegetation Model. In: Mathematical Models of Small Watershed Hydrology and Applications

Mark S. Wigmosta
article en
5 citations

Abstract

The use of distributed physically based models in environmental analysis is becoming more common as greater demands are placed on hydrologic models, particularly for problems involving prediction of future hydrologic conditions resulting from changes in land use or climate. The Distributed Hydrology Soil Vegetation Model (DHSVM) is a physically based model that provides a dynamic representation of the spatial distribution of evapotranspiration, snow cover, soil moisture, and runoff at the spatial scale of digital elevation model data. The model has evolved significantly over the last several years to enable it to address a wide range of applied and research activities. This chapter presents a description of the current state of the model including field test results and example applications.

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Life in Land
Hydrology and Watershed Management Studies
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