JOURNAL ARTICLE

Distributed Watershed Hydrological Simulation Method Based on SWAT Model

Dong LiuJianen Gao

Year: 2020 Journal:   Journal of Coastal Research Vol: 104 (sp1)   Publisher: Coastal Education and Research Foundation

Abstract

Liu, D. and Gao, J.N., 2020. Distributed watershed hydrological simulation method based on SWAT model. In: Guido Aldana, P.A. and Kantamaneni, K. (eds.), Advances in Water Resources, Coastal Management, and Marine Science Technology. Journal of Coastal Research, Special Issue No. 104, pp. 738–741. Coconut Creek (Florida), ISSN 0749-0208.Aiming at the problems of large simulation error and long time consumption in traditional distributed hydrological simulation methods, a distributed hydrological simulation method based on SWAT model is proposed in this paper. This paper analyzes the working principle of SWAT model and constructs SWAT model; uses baseline drift method and variable storage coefficient model to extract typical characteristics of groundwater runoff, soil moisture evaporation and water surface concentration of distributed watershed hydrological characteristic data; on this basis, analyzes the spatial distribution characteristics of precipitation, modifies the precipitation coefficient, and through the coefficient of linear regression equation and efficiency coefficient and adjust the root mean square error to realize the distributed hydrological simulation. The experimental results show that the minimum error of the proposed method is about 0.01%, and the maximum simulation time is about 5.8 s.

Keywords:
SWAT model Watershed Surface runoff Hydrology (agriculture) Soil and Water Assessment Tool Environmental science Precipitation Mean squared error Distributed element model Hydrological modelling Computer science Meteorology Statistics Geology Climatology Geotechnical engineering Mathematics Streamflow Engineering

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Topics

Hydrology and Watershed Management Studies
Physical Sciences →  Environmental Science →  Water Science and Technology
Advanced Technologies in Various Fields
Physical Sciences →  Computer Science →  Artificial Intelligence
Aquatic and Environmental Studies
Physical Sciences →  Earth and Planetary Sciences →  Earth-Surface Processes
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