Progress in Flood Risk Assessment Based on Data-Driven Methods
Flood is one of the most common natural disasters in China,which has made a serious impact on China's economy and society.Flood risk assessment can help management decision makers prevent and reduce flood losses in flood-prone areas.In recent years,data-driven methods have played an increasingl...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Pearl River
2022-01-01
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| Series: | Renmin Zhujiang |
| Subjects: | |
| Online Access: | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2022.05.010 |
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| Summary: | Flood is one of the most common natural disasters in China,which has made a serious impact on China's economy and society.Flood risk assessment can help management decision makers prevent and reduce flood losses in flood-prone areas.In recent years,data-driven methods have played an increasingly important role in flood risk modeling due to their fast modeling processes and accurate spatial prediction capabilities.This paper summarizes the research progress in data-driven methods applied to flood risk assessment and divides data-driven methods into two categories,i.e.,statistical analysis and machine learning,according to their principles.Then,the characteristics and applications of the two categories are introduced,and the problems and challenges faced by the research on data-driven methods are explored. |
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| ISSN: | 1001-9235 |