| From China’s Heavy Precipitation in 2020 to a “Glocal” Hydrometeorological Solution for Flood Risk Prediction |
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| 作者姓名： | Huan WU Xiaomeng LI Guy J.-P.SCHUMANN Lorenzo ALFIERI Yun CHEN Hui XU Zhifang WU Hong LU Yamin HU Qiang ZHU Zhijun HUANG Weitian CHEN Ying HU |
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| 作者单位： | Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies,and School of Atmospheric Sciences,Sun Yat-sen University,Guangdong 510000,China;Southern Marine Science and Engineering Laboratory,Guangdong 519000,China;Earth System Science Interdisciplinary Center,University of Maryland,Maryland 20742,USA;Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies,and School of Atmospheric Sciences,Sun Yat-sen University,Guangdong 510000,China;Southern Marine Science and Engineering Laboratory,Guangdong 519000,China;School of Geographical Sciences,University of Bristol,Bristol BS8 1TH,UK;DFO Global Flood Observatory,University of Colorado Boulder,Boulder 80309,USA;CIMA Research Foundation,Savona 17100,Italy;National Meteorological Center,Beijing 100081,China;Southern Marine Science and Engineering Laboratory,Guangdong 519000,China;National Meteorological Center,Beijing 100081,China;Guangdong Meteorological Center,Guangzhou,Guangdong 510000,China;GuangXi Climate Center,Nanning,Guangxi 530000,China;Guangdong Climate Center,Guangzhou,Guangdong 510000,China;China Three Gorges Corporation,Beijing 100081,China;Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies,and School of Atmospheric Sciences,Sun Yat-sen University,Guangdong 510000,China;Southern Marine Science and Engineering Laboratory,Guangdong 519000,China;Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies,and School of Atmospheric Sciences,Sun Yat-sen University,Guangdong 510000,China;Southern Marine Science and Engineering Laboratory,Guangdong 519000,China;Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies,and School of Atmospheric Sciences,Sun Yat-sen University,Guangdong 510000,China;Southern Marine Science and Engineering Laboratory,Guangdong 519000,China |
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| 基金项目： | as well as partially by the Program for Guangdong Introducing Innovative and Entrepreneurial Teams;and the project of the Chinese Ministry of Emergency Management on"Catastrophe Evaluation Modeling Study";and the National Natural Science Foundation of China;This study was supported by the National Key R&D Program of China |
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| 摘 要： | 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.
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| 关 键 词： | FLOODING flood risk global to local hydrological model extreme precipitation |
From China's Heavy Precipitation in 2020 to a"Glocal"Hydrometeorological Solution for Flood Risk Prediction |
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| Huan WU,Xiaomeng LI,Guy J.-P.SCHUMANN,Lorenzo ALFIERI,Yun CHEN,Hui XU,Zhifang WU,Hong LU,Yamin HU,Qiang ZHU,Zhijun HUANG,Weitian CHEN,Ying HU.From China's Heavy Precipitation in 2020 to a"Glocal"Hydrometeorological Solution for Flood Risk Prediction[J].Advances in Atmospheric Sciences,2021,38(1):1-7. |
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| Authors: | Huan WU Xiaomeng LI Guy J-PSCHUMANN Lorenzo ALFIERI Yun CHEN Hui XU Zhifang WU Hong LU Yamin HU Qiang ZHU Zhijun HUANG Weitian CHEN Ying HU |
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| Institution: | Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies,and School of Atmospheric Sciences,Sun Yat-sen University,Guangdong 510000,China;Southern Marine Science and Engineering Laboratory,Guangdong 519000,China;Earth System Science Interdisciplinary Center,University of Maryland,Maryland 20742,USA;Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies,and School of Atmospheric Sciences,Sun Yat-sen University,Guangdong 510000,China;Southern Marine Science and Engineering Laboratory,Guangdong 519000,China;School of Geographical Sciences,University of Bristol,Bristol BS8 1TH,UK;DFO Global Flood Observatory,University of Colorado Boulder,Boulder 80309,USA;CIMA Research Foundation,Savona 17100,Italy;National Meteorological Center,Beijing 100081,China;Southern Marine Science and Engineering Laboratory,Guangdong 519000,China;National Meteorological Center,Beijing 100081,China;Guangdong Meteorological Center,Guangzhou,Guangdong 510000,China;GuangXi Climate Center,Nanning,Guangxi 530000,China;Guangdong Climate Center,Guangzhou,Guangdong 510000,China;China Three Gorges Corporation,Beijing 100081,China |
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| Abstract: | 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. |
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| Keywords: | flooding flood risk global to local hydrological model extreme precipitation |
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