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基于遥感与区域化方法的无资料流域水文模型参数优化方法 被引量:9
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作者 姜璐璐 吴欢 +3 位作者 lorenzo alfieri 李潇濛 John SKimball 陈秀万 《北京大学学报(自然科学版)》 EI CAS CSCD 北大核心 2020年第6期1152-1164,共13页
针对无资料流域径流预报的难点,探讨水文模型参数优化的共性问题,综述区域化方法和遥感方法的研究现状。首先从水文模型参数优化面临的共性问题,即水文地理数据生成、目标函数构建和优化方法选择等问题出发,分析其对参数优选结果的影响... 针对无资料流域径流预报的难点,探讨水文模型参数优化的共性问题,综述区域化方法和遥感方法的研究现状。首先从水文模型参数优化面临的共性问题,即水文地理数据生成、目标函数构建和优化方法选择等问题出发,分析其对参数优选结果的影响,并归纳出当前广泛认可的解决方案。然后结合区域化方法的技术原理和研究进展,着重论述测站密度对区域化方法性能的影响,并分析该方法在中国的适用性。接着从研究区域、水文模型结构、遥感资料以及率定目标等方面归纳总结遥感方法优化水文模型参数的最新研究进展。最后对区域化方法和遥感方法的优缺点及未来发展前景进行对比分析,为中国无资料或缺资料流域径流预报实践提供参考。 展开更多
关键词 水文模型 径流预报 无资料流域 区域化方法
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From China’s Heavy Precipitation in 2020 to a “Glocal” Hydrometeorological Solution for Flood Risk Prediction 被引量:2
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作者 Huan WU Xiaomeng LI +10 位作者 Guy J.-P.SCHUMANN lorenzo alfieri Yun CHEN Hui XU Zhifang WU Hong LU Yamin HU Qiang ZHU Zhijun HUANG Weitian CHEN Ying HU 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2021年第1期1-7,共7页
The prolonged mei-yu/baiu system with anomalous precipitation in the year 2020 has swollen many rivers and lakes,caused flash flooding,urban flooding and landslides,and consistently wreaked havoc across large swathes ... The prolonged mei-yu/baiu system with anomalous precipitation in the year 2020 has swollen many rivers and lakes,caused flash flooding,urban flooding and landslides,and consistently wreaked havoc across large swathes of China,particularly in the Yangtze River basin.Significant precipitation and flooding anomalies have already been seen in magnitude and extension so far this year,which have been exerting much higher pressure on emergency responses in flood control and mitigation than in other years,even though a rainy season with multiple ongoing serious flood events in different provinces is not that uncommon in China.Instead of delving into the causes of the uniqueness of this year’s extreme precipitation-flooding situation,which certainly warrants in-depth exploration,in this article we provide a short view toward a more general hydrometeorological solution to this annual nationwide problem.A“glocal”(global to local)hydrometeorological solution for floods(GHS-F)is considered to be critical for better preparedness,mitigation,and management of different types of significant precipitation-caused flooding,which happen extensively almost every year in many countries such as China,India and the United States.Such a GHS-F model is necessary from both scientific and operational perspectives,with the strength in providing spatially consistent flood definitions and spatially distributed flood risk classification considering the heterogeneity in vulnerability and resilience across the entire domain.Priorities in the development of such a GHS-F are suggested,emphasizing the user’s requirements and needs according to practical experiences with various flood response agencies. 展开更多
关键词 FLOODING flood risk global to local hydrological model extreme precipitation
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