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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| Format: | Article |
| Language: | zho |
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Editorial Office of Pearl River
2022-01-01
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| Series: | Renmin Zhujiang |
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| Online Access: | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2022.05.010 |
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| author | HE Xinyu TIAN Wenchong ZHANG Zhiyu LIAO Zhenliang |
| author_facet | HE Xinyu TIAN Wenchong ZHANG Zhiyu LIAO Zhenliang |
| author_sort | HE Xinyu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-ce11e97a8f804551af2d9b22d639445f |
| institution | Kabale University |
| issn | 1001-9235 |
| language | zho |
| publishDate | 2022-01-01 |
| publisher | Editorial Office of Pearl River |
| record_format | Article |
| series | Renmin Zhujiang |
| spelling | doaj-art-ce11e97a8f804551af2d9b22d639445f2025-01-15T02:26:50ZzhoEditorial Office of Pearl RiverRenmin Zhujiang1001-92352022-01-014347644183Progress in Flood Risk Assessment Based on Data-Driven MethodsHE XinyuTIAN WenchongZHANG ZhiyuLIAO ZhenliangFlood 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.http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2022.05.010flood riskdata-drivenstatistical analysismachine learning |
| spellingShingle | HE Xinyu TIAN Wenchong ZHANG Zhiyu LIAO Zhenliang Progress in Flood Risk Assessment Based on Data-Driven Methods Renmin Zhujiang flood risk data-driven statistical analysis machine learning |
| title | Progress in Flood Risk Assessment Based on Data-Driven Methods |
| title_full | Progress in Flood Risk Assessment Based on Data-Driven Methods |
| title_fullStr | Progress in Flood Risk Assessment Based on Data-Driven Methods |
| title_full_unstemmed | Progress in Flood Risk Assessment Based on Data-Driven Methods |
| title_short | Progress in Flood Risk Assessment Based on Data-Driven Methods |
| title_sort | progress in flood risk assessment based on data driven methods |
| topic | flood risk data-driven statistical analysis machine learning |
| url | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2022.05.010 |
| work_keys_str_mv | AT hexinyu progressinfloodriskassessmentbasedondatadrivenmethods AT tianwenchong progressinfloodriskassessmentbasedondatadrivenmethods AT zhangzhiyu progressinfloodriskassessmentbasedondatadrivenmethods AT liaozhenliang progressinfloodriskassessmentbasedondatadrivenmethods |