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Effects of uncertainty in soil properties on simulated hydrological states and fluxes at different spatio-temporal scales

机译:不同时空尺度模拟水文态和助熔剂土壤性质对土壤性质的影响

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摘要

Soil properties show high heterogeneity at different spatial scales and their correct characterization remains a crucial challenge over large areas. The aim of the study is to quantify the impact of different types of uncertainties that arise from the unresolved soil spatial variability on simulated hydrological states and fluxes. Three perturbation methods are presented for the characterization of uncertainties in soil properties. The methods are applied on the soil map of the upper Neckar catchment (Germany), as an example. The uncertainties are propagated through the distributed mesoscale hydrological model (mHM) to assess the impact on the simulated states and fluxes. The model outputs are analysed by aggregating the results at different spatial and temporal scales. These results show that the impact of the different uncertainties introduced in the original soil map is equivalent when the simulated model outputs are analysed at the model grid resolution (i.e. 500 m). However, several differences are identified by aggregating states and fluxes at different spatial scales (by subcatchments of different sizes or coarsening the grid resolution). Streamflow is only sensitive to the perturbation of long spatial structures while distributed states and fluxes (e.g. soil moisture and groundwater recharge) are only sensitive to the local noise introduced to the original soil properties. A clear identification of the temporal and spatial scale for which finer-resolution soil information is (or is not) relevant is unlikely to be universal. However, the comparison of the impacts on the different hydrological components can be used to prioritize the model improvements in specific applications, either by collecting new measurements or by calibration and data assimilation approaches. In conclusion, the study underlines the importance of a correct characterization of uncertainty in soil properties. With that, soil maps with additional information regarding the unresolved soil sp
机译:土壤性质在不同的空间尺度下显示出高的异质性,并且它们的正确表征仍然是大面积的至关重要的挑战。该研究的目的是量化不同类型的不确定性的影响,这些不确定因素在模拟水文状态和助熔剂上的未解决的土壤空间可变性中产生。提出了三种扰动方法,以表征土壤性质的不确定性。作为一个例子,该方法适用于上环内部集水区(德国)的土壤图。不确定性通过分布式Mescre水文模型(MHM)传播,以评估对模拟状态和助熔剂的影响。通过在不同的空间和时间尺度聚合结果来分析模型输出。这些结果表明,当在模型网格分辨率(即500 m)分析模拟模型输出时,在原始土壤图中引入的不同不确定性的影响是等同的。然而,通过在不同的空间尺度处聚合状态和助熔剂(通过不同尺寸或粗化网格分辨率的分量)来识别若干差异。流出仅对长空间结构的扰动敏感,而分布式状态和助熔剂(例如土壤水分和地下水补给)仅对引入原始土壤性质的局部噪声敏感。清楚地识别了更精细分辨率的土壤信息(或不是)相关的时间和空间规模不太可能是普遍的。然而,通过收集新测量或通过校准和数据同化方法,可以使用对不同水文组分对不同水文组分的影响的比较优先考虑特定应用中的模型改进。总之,该研究强调了土壤性质中不确定性的正确表征的重要性。通过,土壤地图具有关于未解决的土壤SP的附加信息

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    UFZ Helmholtz Ctr Environm Res Dept Computat Hydrosyst Permoserstr 15 D-04318 Leipzig Germany;

    UFZ Helmholtz Ctr Environm Res Dept Computat Hydrosyst Permoserstr 15 D-04318 Leipzig Germany;

    UFZ Helmholtz Ctr Environm Res Dept Computat Hydrosyst Permoserstr 15 D-04318 Leipzig Germany;

    UFZ Helmholtz Ctr Environm Res Dept Computat Hydrosyst Permoserstr 15 D-04318 Leipzig Germany;

    UFZ Helmholtz Ctr Environm Res Dept Computat Hydrosyst Permoserstr 15 D-04318 Leipzig Germany;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 水文科学(水界物理学);
  • 关键词

  • 入库时间 2022-08-20 08:10:34

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