Assessment of Flood Risk Based on ISO Clustering and Maximum Likelihood Method --Taking Wuchuan City as an Example
Under the background of global climate change, extreme weather,especially heavy rainfall and storm surge, is becoming an important influencingfactor of flood disaster in coastal areas, endangering the safety of localpeople's lives and property. Taking Wuchuan City as the researcharea, with town...
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Editorial Office of Pearl River
2020-01-01
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| Series: | Renmin Zhujiang |
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| Online Access: | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2020.10.003 |
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| author | LIU Yang SONG Feiyan LIN Kairong LIN Bo |
| author_facet | LIU Yang SONG Feiyan LIN Kairong LIN Bo |
| author_sort | LIU Yang |
| collection | DOAJ |
| description | Under the background of global climate change, extreme weather,especially heavy rainfall and storm surge, is becoming an important influencingfactor of flood disaster in coastal areas, endangering the safety of localpeople's lives and property. Taking Wuchuan City as the researcharea, with towns and streets as units, this paper establishes the flood riskassessment model based on the assessment indexes from three aspects of factorrisk, vulnerability of hazard-bearing body, disaster prevention and mitigationability, conducts space overlay analysis through ArcGIS platform, divides theflood risk into micro, low, medium, high and extremely high with ISO clustering-maximum likelihood method, and classifies Wuchunan City into five risk areasaccording to the assessment results. The results indicate that: the flood disasterrisk in Wuchuan City is at the medium risk level as a whole, with a risk value of3.04, and higher in the mid-west region and lower in the southeast region for thespatial distribution. After comparison validation with the survey data of proneflood points in Wuchuan City, it is indicated that 91% of them are located in theextremely high-risk and high-risk areas, which shows that the assessment resultsare relatively accurate and can be great of reference for the prevention andcontrol of local flood disaster. |
| format | Article |
| id | doaj-art-ed077891aa3a46dc883581ed0dcf500d |
| institution | Kabale University |
| issn | 1001-9235 |
| language | zho |
| publishDate | 2020-01-01 |
| publisher | Editorial Office of Pearl River |
| record_format | Article |
| series | Renmin Zhujiang |
| spelling | doaj-art-ed077891aa3a46dc883581ed0dcf500d2025-01-15T02:30:56ZzhoEditorial Office of Pearl RiverRenmin Zhujiang1001-92352020-01-014147651270Assessment of Flood Risk Based on ISO Clustering and Maximum Likelihood Method --Taking Wuchuan City as an ExampleLIU YangSONG FeiyanLIN KairongLIN BoUnder the background of global climate change, extreme weather,especially heavy rainfall and storm surge, is becoming an important influencingfactor of flood disaster in coastal areas, endangering the safety of localpeople's lives and property. Taking Wuchuan City as the researcharea, with towns and streets as units, this paper establishes the flood riskassessment model based on the assessment indexes from three aspects of factorrisk, vulnerability of hazard-bearing body, disaster prevention and mitigationability, conducts space overlay analysis through ArcGIS platform, divides theflood risk into micro, low, medium, high and extremely high with ISO clustering-maximum likelihood method, and classifies Wuchunan City into five risk areasaccording to the assessment results. The results indicate that: the flood disasterrisk in Wuchuan City is at the medium risk level as a whole, with a risk value of3.04, and higher in the mid-west region and lower in the southeast region for thespatial distribution. After comparison validation with the survey data of proneflood points in Wuchuan City, it is indicated that 91% of them are located in theextremely high-risk and high-risk areas, which shows that the assessment resultsare relatively accurate and can be great of reference for the prevention andcontrol of local flood disaster.http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2020.10.003flood disasterrisk divisionGISISO clustering |
| spellingShingle | LIU Yang SONG Feiyan LIN Kairong LIN Bo Assessment of Flood Risk Based on ISO Clustering and Maximum Likelihood Method --Taking Wuchuan City as an Example Renmin Zhujiang flood disaster risk division GIS ISO clustering |
| title | Assessment of Flood Risk Based on ISO Clustering and Maximum Likelihood Method --Taking Wuchuan City as an Example |
| title_full | Assessment of Flood Risk Based on ISO Clustering and Maximum Likelihood Method --Taking Wuchuan City as an Example |
| title_fullStr | Assessment of Flood Risk Based on ISO Clustering and Maximum Likelihood Method --Taking Wuchuan City as an Example |
| title_full_unstemmed | Assessment of Flood Risk Based on ISO Clustering and Maximum Likelihood Method --Taking Wuchuan City as an Example |
| title_short | Assessment of Flood Risk Based on ISO Clustering and Maximum Likelihood Method --Taking Wuchuan City as an Example |
| title_sort | assessment of flood risk based on iso clustering and maximum likelihood method taking wuchuan city as an example |
| topic | flood disaster risk division GIS ISO clustering |
| url | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2020.10.003 |
| work_keys_str_mv | AT liuyang assessmentoffloodriskbasedonisoclusteringandmaximumlikelihoodmethodtakingwuchuancityasanexample AT songfeiyan assessmentoffloodriskbasedonisoclusteringandmaximumlikelihoodmethodtakingwuchuancityasanexample AT linkairong assessmentoffloodriskbasedonisoclusteringandmaximumlikelihoodmethodtakingwuchuancityasanexample AT linbo assessmentoffloodriskbasedonisoclusteringandmaximumlikelihoodmethodtakingwuchuancityasanexample |