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APPLICATION OF AN INTEGRATED BASIN‐SCALE HYDROLOGIC MODEL TO SIMULATE SURFACE‐WATER AND GROUND‐WATER INTERACTIONS 1
Author(s) -
Yu Zhongbo,
Schwartz Franklin W.
Publication year - 1998
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.1752-1688.1998.tb04145.x
Subject(s) - surface runoff , hydrology (agriculture) , environmental science , hydrological modelling , watershed , hydraulic conductivity , distributed element model , drainage basin , vflo , precipitation , structural basin , water balance , groundwater , surface water , calibration , soil water , runoff model , soil science , geology , meteorology , geomorphology , geotechnical engineering , computer science , climatology , environmental engineering , ecology , biology , machine learning , physics , cartography , geography , mathematics , quantum mechanics , statistics
Hydrologic models have become an indispensable tool for studying processes and water management in watersheds. A physically‐based, distributed‐parameter model, Basin‐Scale Hydro‐logic Model (BSIIM), has been developed to simulate the hydrologic response of large drainage basins. The model formulation is based on equations describing water movement both on the surface and in the subsurface. The model incorporates detailed information on climate, digital elevation, and soil moisture budget, as well as surface‐water and ground‐water systems. This model has been applied to the Big Darby Creek Watershed, Ohio in a 28‐year simulation of rainfall‐runoff processes. Unknown coefficients for controlling runoff, storativity, hydraulic conductivity, and streambed permeability are determined by a trial‐and‐error calibration. The performance of model calibration and predictive capability of the model was evaluated based on the correlation between simulated and observed daily stream discharges. Discrepancies between observed and simulated results exist because of limited precipitation data and simplifying assumptions related to soil, land use, and geology.