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首页> 外文期刊>Journal of Hydrology >Analysis of the behavior of a rainfall-runoff model using three global sensitivity analysis methods evaluated at different temporal scales
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Analysis of the behavior of a rainfall-runoff model using three global sensitivity analysis methods evaluated at different temporal scales

机译:使用三种全球敏感性分析方法在不同时间尺度上评估降雨径流模型的行为

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The effect of 11 parameters on the discharge of a conceptual rainfall-runoff model was analyzed for a small Austrian catchment. The sensitivities were computed using three methods: Sobol's indices, the mutual entropy and regional sensitivity analysis (RSA). The calculations were carried out for different temporal scales of evaluation ranging from daily to a multiannual period. A comparison of the methods shows that the mutual entropy and the RSA methods give more robust results than Sobol's method, which shows a higher variability in the sensitivities when they are calculated using different data sets. While all sensitivity methods are suitable for identifying the most sensitive parameters of a model, there are increasing differences in the results when the parameters become less important and also when shorter temporal scales are considered. A correlation analysis further indicated that the periods in which the parameter sensitivity rankings did not agree between the different methods are characterized by a higher impact of the parameters interactions on the modeled discharge. An analysis of the parameter sensitivity across the scales showed that the number of important parameter decreases when longer evaluation periods are considered. For instance, it was observed that all parameters were important at least during 1. day a daily scale, while at a yearly scale only the parameters characterizing the soil storage and the recession constants for interflow and percolation had high sensitivities. With respect to the impact of the interactions between parameters on the model results, it was observed that the largest effect is related to the parameters describing the size of the soil storage, the interflow and the percolation flow recession constants. Further, it was observed that there is a positive correlation between the importance of the interactions and the measured discharge. While the study focuses on quantitative sensitivity measures, it is also highlighted that graphical RSA analyses provide additional information regarding the parameter ranges associated with different discharge levels. This information can be used for increasing the understanding of the mechanisms by which the parameters affect the model results.
机译:分析了奥地利一个小流域的11个参数对概念性降雨径流模型流量的影响。使用三种方法计算灵敏度:Sobol指数,互熵和区域灵敏度分析(RSA)。计算是针对不同的时间评估尺度进行的,评估范围从每天到多年期。方法的比较表明,互熵和RSA方法比Sobol方法具有更可靠的结果,当使用不同数据集计算它们时,灵敏度表现出更高的敏感性。尽管所有灵敏度方法都适合于识别模型中最敏感的参数,但是当参数变得不那么重要以及考虑到较短的时间尺度时,结果的差异会越来越大。相关分析还表明,在不同方法之间参数灵敏度排名不一致的时期,其特征在于参数交互作用对建模放电的影响更大。对各个尺度的参数敏感性进行的分析表明,考虑更长的评估周期,重要参数的数量会减少。例如,据观察,所有参数至少在每天1.天的规模内都很重要,而在每年的规模上,只有表征土壤储量的参数以及内流和渗滤的衰退常数才具有很高的敏感性。关于参数之间的相互作用对模型结果的影响,观察到最大的影响与描述土壤储藏规模,内流和渗流衰退系数的参数有关。此外,观察到相互作用的重要性与测得的放电之间存在正相关。尽管研究集中在定量灵敏度测量上,但也要强调的是,图形化RSA分析提供了有关与不同排放水平相关的参数范围的其他信息。此信息可用于增加对参数影响模型结果的机制的理解。

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