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江苏省洪涝灾情及风险的时空分析
引用本文:梅玉琳,吉中会.江苏省洪涝灾情及风险的时空分析[J].水文,2022,42(1):97-102.
作者姓名:梅玉琳  吉中会
作者单位:南京信息工程大学管理工程学院
基金项目:国家自然科学基金资助项目(41501555,91546117);国家社科基金重大招标项目(16ZDA047)。
摘    要:采用灰色关联分析,计算全省各市2011—2017年洪涝灾情指数;运用熵权法估算洪涝风险指标权重,评估各市2005—2018年综合洪涝风险.主要结果表明:选取的灾情指标能有效地反映区域洪涝灾情,扬州是全省历史灾情较为严重的城市,全省大部分城市在2012年和2015年的灾情指数较高,2016年苏南和苏中的灾情较严重;各市在...

关 键 词:洪涝  灰色关联分析  灾情  风险

Spatio-Temporal Analysis of Flood Impacts and Risk in Jiangsu Province
MEI Yulin,JI Zhonghui.Spatio-Temporal Analysis of Flood Impacts and Risk in Jiangsu Province[J].Hydrology,2022,42(1):97-102.
Authors:MEI Yulin  JI Zhonghui
Institution:(School of Management Science and Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China)
Abstract:This study calculated the comprehensive flood impact indexes of each city in Jiangsu Province from 2011 to 2017 through grey correlation analysis,and assessed the comprehensive flood risk by using the entropy method to determine each index weight from 2005 to 2018.The results show that:(1)The considered indicators can effectively reflect the regional flood impact.Yangzhou is the most severely affected city.Most cities have high values of the disaster index in 2012 and 2015.In 2016,disaster situations are severe in the southern and central areas.(2)The risk value and the corresponding fluctuation range were both low for all cities before 2014,while the risk increased significantly after 2014 which was mainly led by the precipitation change.The relatively high-risk areas show a trend of shifting from north to south and from sea to inland in space.
Keywords:flood  grey correlation analysis  disaster impact  risk
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