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Assessing Uncertainty in Hydrological Processes Using a Fuzzy Vertex Simulation Method

机译:用模糊顶点模拟法评估水文过程的不确定性

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摘要

In this study, a fuzzy vertex simulation method (FVSM) is developed for assessing parameter uncertainty on modeling outputs of Xiangxi River Basin in China. The FVSM couples a fuzzy vertex analysis approach with a semidistributed hydrological model to reflect effects of uncertain parameters on hydrological possesses. In FVSM, the topography-based hydrological model (TOPMODEL) is used for predicting streamflow of saturated area in the catchment by tackling the distribution of the topographic index; the fuzzy vertex analysis method specializes in dealing with ambiguous coefficients based on fuzzy sets theory and α-cut analysis technique. The modeling outputs (i.e., Nash-Sutcliffe efficiency coefficient and the sum of the squared errors) indicate a good performance of TOPMODEL in describing the daily streamflow at four hydrological stations in the study basin. The uncertainties of two parameters (M and T_0) are examined under different α-cut levels. The results indicate that flow interval is wide under a low degree of plausibility (i.e., a low α-cut level); conversely, a high degree of plausibility would lead to a narrow interval. Sensitivity analysis and factorial analysis are conducted, the results of which imply that the effect of M is more significant than the effect of T_0 on hydrological modeling simulation. Results also reveal that the interactive effect of M and T_0 is small, which can be neglected in the subsequent simulation. The findings can help quantify the multiple uncertain parameters and their interactions on modeling simulation as well as enhance the hydrological model's capabilities for water resources management.
机译:本文研究了一种模糊顶点模拟方法(FVSM),用于评估中国湘西流域模型输出的参数不确定性。 FVSM将模糊顶点分析方法与半分布式水文模型相结合,以反映不确定参数对水文拥有量的影响。在FVSM中,基于地形的水文模型(TOPMODEL)用于通过处理地形指数的分布来预测流域中饱和区域的水流。模糊顶点分析法基于模糊集理论和α-割分析技术,专门处理模棱两可的系数。模拟输出(即Nash-Sutcliffe效率系数和平方误差之和)表明TOPMODEL在描述研究盆地四个水文站的日流量方面表现良好。在不同的α-cut水平下检查了两个参数(M和T_0)的不确定性。结果表明,在低可信度(即低α切割水平)下,流动间隔宽。相反,高度的合理性将导致狭窄的间隔。进行了敏感性分析和因子分析,结果表明在水文模拟中,M的影响比T_0的影响更大。结果还表明,M和T_0的交互作用很小,在随后的仿真中可以忽略不计。这些发现可以帮助量化多个不确定参数及其在建模仿真中的相互作用,并增强水文模型的水资源管理能力。

著录项

  • 来源
    《Journal of hydrologic engineering》 |2016年第4期|05016002.1-05016002.12|共12页
  • 作者单位

    Sino-Canada Resources and Environmental Research Academy, North China Electric Power Univ., Beijing 102206, China;

    Sino-Canada Resources and Environmental Research Academy, North China Electric Power Univ., Beijing 102206, China;

    Environmental Systems Engineering Program, Faculty of Engineering and Applied Science, Univ. of Regina, Regina, SK, Canada S4S 0A2;

    Sino-Canada Resources and Environmental Research Academy, North China Electric Power Univ., Beijing 102206, China;

    Sino-Canada Resources and Environmental Research Academy, North China Electric Power Univ., Beijing 102206, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Factorial analysis; Fuzzy vertex; Hydrological possesses; Sensitivity analysis; Topography-based hydrological model (TOPMODEL); Uncertainty;

    机译:析因分析;模糊顶点;水文财产;敏感性分析;基于地形的水文模型(TOPMODEL);不确定;

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