Hydrologic- and salt-balance investigations utilizing digital models
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Hydrologic- and salt-balance investigations utilizing digital models Lower San Luis Rey Area, San Diego County, California by Joe A. Moreland

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Published by U.S. Geological Survey, Water Resources Division in Menlo Park, Calif .
Written in English


  • Hydrology -- California -- San Luis Rey River Region,
  • Saline waters -- California -- San Luis Rey River Region,
  • Water resources development -- Mathematical models

Book details:

Edition Notes

StatementBy Joe A. Moreland.
SeriesGeological Survey (U.S.). Water resources investigations -- 24-74, Water-resources investigations -- 24-74.
ContributionsGeological Survey (U.S.), Joint Administrative Committee of the Santa Margarita and San Luis Rey Watershed Planning Agencies.
The Physical Object
Paginationv, 66 p. :
Number of Pages66
ID Numbers
Open LibraryOL22995398M

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The model is based on the conservation of mass principles (i.e., all water inputs are matched by the sum of outputs and storage changes within the system). The modeled area is defined by hydrologic boundaries based on digital elevation model data in raster format. The TOPMODEL, which is a semidistributed and topographic-based rainfall-runoff model, was employed to investigate the effects of the DEM creation methods on the results of such models. The results showed that the topographic index is highly sensitive to the interpolation method used in DEM creation. A benefit of using GIS softwares for hydrological modeling is that digital visualizations of data can be linked to real-time data. GIS revolutionized curation, manipulation, and input for complex computational hydrologic models [2] [3] For surface water modeling, digital elevation model are often layered with hydrographic data in order to.   Resource managers need spatially explicit models of hydrologic response to changes in key climatic drivers across variable landscape conditions. We demonstrate the utility of a Basin Characterization Model for California (CA-BCM) to integrate high-resolution data on physical watershed characteristics with historical or projected climate data to predict watershed-specific hydrologic .