[1]ZHANG Xue-song,HAO Fang-hua,ZHANG Jian-yong.Study on Effect of Uncertainty in Spatial Distribution of Rainfall on Runoff and Sediment Modeling[J].Research of Soil and Water Conservation,2004,11(01):9-12.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
11
Number of periods:
2004年01期
Page number:
9-12
Column:
Public date:
1900-01-01
- Title:
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Study on Effect of Uncertainty in Spatial Distribution of Rainfall on Runoff and Sediment Modeling
- Author(s):
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ZHANG Xue-song1, HAO Fang-hua1, ZHANG Jian-yong2
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1. Key Laboratory to Water and Sediment Sciences of Ministry of Education, Institute of Water Science, Beijing Normal University, Beijing 100875, China;
2. Water Resources and Hydropower Planning and Design General Institute, Beijing 100011, China
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- Keywords:
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uncertainty in spatial distribution of rainfall; distributed hydrologic model; Thiessen polygon method; runoff; sediment
- CLC:
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S157.1
- DOI:
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- Abstract:
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The development of distributed modeling technology has been hampered by incomplete understanding of spatially variable process and the lack of adequate data to characterize spatially varying inputs. This seems to be particularly true with respect to rainfall distribution. The effect of uncertainty in spatial distribution of rainfall on runoff and sediment modeling was studied. The upper watershed of Luohe River was selected as the study area. Thiessen polygon method was used to estimate the spatial distribution of rainfall field. Using GIS and SWAT model, the effect of the density of raingauge network, different spatial arrangement of raingauge, and different spatial variability of rainfall field on runoff volume and sediment yield were examined. The results indicate that utility of a spatially distributed approach to model catchment response is compromised by large uncertainties in the spatial distribution of rainfall input. And estimates of areal rainfall using Thiessen polygon method may be accurate at the watershed scale but do not produce accurate estimates of rainfall distribution for distributed watershed modeling.