Effect of Rainfall Measurement Errors on Nonpoint-Source Pollution Model Uncertainty
作者: Z. Y. Shen L. Chen Q. Liao
刊名: Journal of Environmental Informatics, 2015, Vol.26 (1)
来源数据库: International Society for Environmental Information Science
DOI: 10.3808/jei.201400271
关键词: rainfalluncertaintynonpoint-source pollutionSWATMonte Carlo methodThree Gorges Reservoir Region
原始语种摘要: Rainfall data are generally considered the most important input in watershed models and a major source of total uncertainty. This paper investigated the effects of rainfall measurement errors on hydrologic and nonpoint source pollution (H/NPS) modeling in the Daning River watershed in the Three Gorges Reservoir Region (TGRR) of China. The daily rainfall values were randomly permutated by Monte Carlo (MC) sampling, and 150 combinations of rainfall inputs were estimated using the Soil and Water Assessment Tool (SWAT). Based on the results, the rainfall measurement error is transformed into hydrologic modeling uncertainty and further propagates into even larger NPS modeling uncertainty. It was expected from the SWAT applications that the rainfall measurement error would introduce...
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关键词翻译
关键词翻译
  • uncertainty 不定
  • expected 预期
  • rainfall 降雨量
  • stochastic 随机的
  • error 误差
  • modeling 制祝型
  • measurement 测量
  • watershed 分水岭
  • especially 特别地
  • establishing 定苗