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Comparing Three Hydrological Models for Flash Flood Simulations in 13 Humid and Semi-humid Mountainous Catchments

机译:比较三种潮湿和半潮湿山区集水闪光模拟的三种水文模型

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摘要

Flash flood disaster ranks top among all the natural hazards across the world due to its high frequency, severity and fatality. However, flash flood simulation is still challenging in small and medium-sized catchments with complex orography, flashy hydrological responses and poor observations. Three distributed hydrological models, i.e., TOPModel, HEC and CNFF, are selected to simulate flash floods in seven humid and six semi-humid catchments in China, with consideration of water balance (RER), peak flow rate (REQ) and its occurrence time (TP), hydrograph variation (SNSE) and model uncertainty. Influences of five catchment attributes are further investigated on individual model performances. All three models perform satisfactorily in humid catchments, but less satisfactorily in semi-humid catchments. Water balance is well obtained by CNFF, followed by HEC and TOPModel. Peak flow rate and its occurrence time are most accurately captured by CNFF and HEC, respectively. Hydrograph variations are well reproduced by HEC and CNFF. TOPModel performs well for picking peak flow and hydrograph variation in humid catchments. Uncertainty interval is narrowest for HEC with average relative interval length at 95% confidence level being 0.78 similar to 2.53. Most observations are bracketed by uncertainty intervals for TOPModel (64.79% similar to 91.91% of total). Three model performance indices (i.e., RER, REQ, and SNSE) are mainly affected by drainage area and forest ratio across humid and semi-humid catchments, while TP performance is mainly affected by mean slope in humid catchments.
机译:由于其高频,严重程度和致命,闪蒸洪水灾害在世界各地的所有自然灾害中排名。然而,闪光泛型仿真仍然挑战中小型集水区具有复杂的地区,复杂的性能,华而不实的水文反应和观察差。三个分布式水文模型,即TOPMODEL,HEC和CNFF,选择以模拟山洪七对潮湿和在中国进行为期6半湿润流域,考虑水平衡(RER),峰值流速(REQ)和其发生时间(TP),水文变异(SNSE)和模型不确定性。在各个模型表演中进一步调查了五个集水区的影响。所有三种模型在潮湿的流域方面表现令人满意,但在半湿度集水区内的令人满意的令人满意。水平通过CNFF获得良好,其次是HEC和TOPMODEL。 CNFF和HEC分别最精确地捕获峰值流量及其发生时间。 HEC和CNFF的水文变异很好地再现。 TopModel对纯粹流量的峰值流和水文变异进行了良好。对于HEC,不确定间隔最小,平均相对间隔长度为95%的置信水平为0.78,类似于2.53。大多数观察结果都是由于TOPMODEL的不确定性间隔而括起来(64.79%,占总量的91.91%)。三个模型性能指数(即,RER,REQ和SNSE)主要受潮湿和半湿度集水集中的排水区和森林比率影响,而TP性能主要受潮湿流域的平均斜率影响。

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  • 来源
    《Water Resources Management》 |2021年第5期|1547-1571|共25页
  • 作者单位

    China Inst Water Resources & Hydropower Res Res Ctr Flood & Drought Disaster Reduct State Key Lab Simulat & Regulat Water Cycle River Beijing 100038 Peoples R China;

    China Inst Water Resources & Hydropower Res Res Ctr Flood & Drought Disaster Reduct State Key Lab Simulat & Regulat Water Cycle River Beijing 100038 Peoples R China;

    China Inst Water Resources & Hydropower Res Res Ctr Flood & Drought Disaster Reduct State Key Lab Simulat & Regulat Water Cycle River Beijing 100038 Peoples R China;

    Chinese Acad Sci Inst Geog Sci & Nat Resources Res Key Lab Water Cycle & Related Land Surface Proc Beijing 100101 Peoples R China;

    Chinese Acad Sci Inst Geog Sci & Nat Resources Res Key Lab Water Cycle & Related Land Surface Proc Beijing 100101 Peoples R China;

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

    Flash floods; Hydrological model; Model performance; Catchment attributes; Humid and semi-humid catchments;

    机译:闪光洪水;水文模型;模型性能;集水区属性;潮湿和半湿度集水区;
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