FLOOD SUSCEPTIBILITY ASSESSMENT IN CENTRAL REGION OFVIETNAM BASED ON ENSEMBLE FUZZY LOGIC AND MULTIVARIATE ANALYSIS
Flooding is the most damaging natural hazard in the world. A better understanding of floods is a fundamental element in guiding the development of policies for managing and reducing flood risk. The main objective of this research is to contribute to the improvement of knowledge on flood susceptibili...
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| Veröffentlicht in: | Urbanism. Arhitecturǎ. Construcții 2022-01, Vol.13 (1), p.29-44 |
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| creator | Nguyen, Duc-Loc Chou, Tien-Yin Chen, Mei-Hsin Hoang, Thanh-Van Tran, Trong-Phuong Ngo, Thanh-Son Thi, Ngoc-Anh Do Bui, Thu-Huong Nguyen, Quoc-Huy |
| description | Flooding is the most damaging natural hazard in the world. A better understanding of floods is a fundamental element in guiding the development of policies for managing and reducing flood risk. The main objective of this research is to contribute to the improvement of knowledge on flood susceptibility by combining Fuzzy AHP and Multivariate Analysis. Ha Tinh province in Vietnam was selected as the case study in which many floods have occurred in recent years. To accomplish this goal, 14 factors and 1427 flood locations were used to establish the flood susceptibility model. The area under the curve (AUC) was applied to assess the model accuracy. The results showed that rainfall, NDVI, NDBI, density of river, elevation, slope and aspect are the main factors influencing the occurrence of flooding. The models are efficient in analyzing the flood susceptibility in study area with AUC=0.87. Approximately 36% of the study area was recognized as Very High and High flood susceptibility, which focused on the littoral zone and along the river. The results of this research could be used as a scientific platform for better land use planning and sustainable development in areas highly vulnerable to floods. |
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A better understanding of floods is a fundamental element in guiding the development of policies for managing and reducing flood risk. The main objective of this research is to contribute to the improvement of knowledge on flood susceptibility by combining Fuzzy AHP and Multivariate Analysis. Ha Tinh province in Vietnam was selected as the case study in which many floods have occurred in recent years. To accomplish this goal, 14 factors and 1427 flood locations were used to establish the flood susceptibility model. The area under the curve (AUC) was applied to assess the model accuracy. The results showed that rainfall, NDVI, NDBI, density of river, elevation, slope and aspect are the main factors influencing the occurrence of flooding. The models are efficient in analyzing the flood susceptibility in study area with AUC=0.87. Approximately 36% of the study area was recognized as Very High and High flood susceptibility, which focused on the littoral zone and along the river. The results of this research could be used as a scientific platform for better land use planning and sustainable development in areas highly vulnerable to floods.</description><identifier>ISSN: 2069-0509</identifier><identifier>EISSN: 2069-6469</identifier><language>eng</language><publisher>Bucharest: Institutul National de Cercetare-Dezvoltare in Constructii, Urbanism si Devoltare Teritoriala Durabila "URBAN-INCERC"</publisher><subject>Decision making ; Development policy ; Emergency preparedness ; Environmental risk ; Flood management ; Flooding ; Floods ; Fuzzy logic ; Geographic information systems ; Land use management ; Land use planning ; Littoral environments ; Littoral zone ; Model accuracy ; Multivariate analysis ; Rain ; Rainfall ; Remote sensing ; Risk management ; Risk reduction ; Rivers ; Sustainable development ; Variables</subject><ispartof>Urbanism. Arhitecturǎ. Construcții, 2022-01, Vol.13 (1), p.29-44</ispartof><rights>2022. 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Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782</link.rule.ids></links><search><creatorcontrib>Nguyen, Duc-Loc</creatorcontrib><creatorcontrib>Chou, Tien-Yin</creatorcontrib><creatorcontrib>Chen, Mei-Hsin</creatorcontrib><creatorcontrib>Hoang, Thanh-Van</creatorcontrib><creatorcontrib>Tran, Trong-Phuong</creatorcontrib><creatorcontrib>Ngo, Thanh-Son</creatorcontrib><creatorcontrib>Thi, Ngoc-Anh Do</creatorcontrib><creatorcontrib>Bui, Thu-Huong</creatorcontrib><creatorcontrib>Nguyen, Quoc-Huy</creatorcontrib><title>FLOOD SUSCEPTIBILITY ASSESSMENT IN CENTRAL REGION OFVIETNAM BASED ON ENSEMBLE FUZZY LOGIC AND MULTIVARIATE ANALYSIS</title><title>Urbanism. Arhitecturǎ. Construcții</title><description>Flooding is the most damaging natural hazard in the world. A better understanding of floods is a fundamental element in guiding the development of policies for managing and reducing flood risk. The main objective of this research is to contribute to the improvement of knowledge on flood susceptibility by combining Fuzzy AHP and Multivariate Analysis. Ha Tinh province in Vietnam was selected as the case study in which many floods have occurred in recent years. To accomplish this goal, 14 factors and 1427 flood locations were used to establish the flood susceptibility model. The area under the curve (AUC) was applied to assess the model accuracy. The results showed that rainfall, NDVI, NDBI, density of river, elevation, slope and aspect are the main factors influencing the occurrence of flooding. The models are efficient in analyzing the flood susceptibility in study area with AUC=0.87. Approximately 36% of the study area was recognized as Very High and High flood susceptibility, which focused on the littoral zone and along the river. The results of this research could be used as a scientific platform for better land use planning and sustainable development in areas highly vulnerable to floods.</description><subject>Decision making</subject><subject>Development policy</subject><subject>Emergency preparedness</subject><subject>Environmental risk</subject><subject>Flood management</subject><subject>Flooding</subject><subject>Floods</subject><subject>Fuzzy logic</subject><subject>Geographic information systems</subject><subject>Land use management</subject><subject>Land use planning</subject><subject>Littoral environments</subject><subject>Littoral zone</subject><subject>Model accuracy</subject><subject>Multivariate analysis</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Remote sensing</subject><subject>Risk management</subject><subject>Risk reduction</subject><subject>Rivers</subject><subject>Sustainable development</subject><subject>Variables</subject><issn>2069-0509</issn><issn>2069-6469</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqNisuKwkAQRRtxQHH8hwLXQqHmtewkFS3odEuqI8SNzICCMoyPHv9_svADXJ3LOXegxguMs3m8irPha2OE2UhNQzh_4zLFJELEsQqVca4EaaWgreecDfsOtAiJ1GQ9sIWiZ6MNNLRmZ8FVOyZvdQ25FiqhV2SF6twQVO1-34Fxay5A2xLq1nje6Ya1p15o0wnLp_o4ff2E4_TFiZpV5IvN_Pa43p_H8He4XJ-P3z4dFnGSplGC0Wr53usfZBBDIw</recordid><startdate>20220101</startdate><enddate>20220101</enddate><creator>Nguyen, Duc-Loc</creator><creator>Chou, Tien-Yin</creator><creator>Chen, Mei-Hsin</creator><creator>Hoang, Thanh-Van</creator><creator>Tran, Trong-Phuong</creator><creator>Ngo, Thanh-Son</creator><creator>Thi, Ngoc-Anh Do</creator><creator>Bui, Thu-Huong</creator><creator>Nguyen, Quoc-Huy</creator><general>Institutul National de Cercetare-Dezvoltare in Constructii, Urbanism si Devoltare Teritoriala Durabila "URBAN-INCERC"</general><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BYOGL</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>HCIFZ</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope></search><sort><creationdate>20220101</creationdate><title>FLOOD SUSCEPTIBILITY ASSESSMENT IN CENTRAL REGION OFVIETNAM BASED ON ENSEMBLE FUZZY LOGIC AND MULTIVARIATE ANALYSIS</title><author>Nguyen, Duc-Loc ; Chou, Tien-Yin ; Chen, Mei-Hsin ; Hoang, Thanh-Van ; Tran, Trong-Phuong ; Ngo, Thanh-Son ; Thi, Ngoc-Anh Do ; Bui, Thu-Huong ; Nguyen, Quoc-Huy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_26788570543</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Decision making</topic><topic>Development policy</topic><topic>Emergency preparedness</topic><topic>Environmental risk</topic><topic>Flood management</topic><topic>Flooding</topic><topic>Floods</topic><topic>Fuzzy logic</topic><topic>Geographic information systems</topic><topic>Land use management</topic><topic>Land use planning</topic><topic>Littoral environments</topic><topic>Littoral zone</topic><topic>Model accuracy</topic><topic>Multivariate analysis</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Remote sensing</topic><topic>Risk management</topic><topic>Risk reduction</topic><topic>Rivers</topic><topic>Sustainable development</topic><topic>Variables</topic><toplevel>online_resources</toplevel><creatorcontrib>Nguyen, Duc-Loc</creatorcontrib><creatorcontrib>Chou, Tien-Yin</creatorcontrib><creatorcontrib>Chen, Mei-Hsin</creatorcontrib><creatorcontrib>Hoang, Thanh-Van</creatorcontrib><creatorcontrib>Tran, Trong-Phuong</creatorcontrib><creatorcontrib>Ngo, Thanh-Son</creatorcontrib><creatorcontrib>Thi, Ngoc-Anh Do</creatorcontrib><creatorcontrib>Bui, Thu-Huong</creatorcontrib><creatorcontrib>Nguyen, Quoc-Huy</creatorcontrib><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>East Europe, Central Europe Database</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>SciTech Premium Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><jtitle>Urbanism. 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A better understanding of floods is a fundamental element in guiding the development of policies for managing and reducing flood risk. The main objective of this research is to contribute to the improvement of knowledge on flood susceptibility by combining Fuzzy AHP and Multivariate Analysis. Ha Tinh province in Vietnam was selected as the case study in which many floods have occurred in recent years. To accomplish this goal, 14 factors and 1427 flood locations were used to establish the flood susceptibility model. The area under the curve (AUC) was applied to assess the model accuracy. The results showed that rainfall, NDVI, NDBI, density of river, elevation, slope and aspect are the main factors influencing the occurrence of flooding. The models are efficient in analyzing the flood susceptibility in study area with AUC=0.87. Approximately 36% of the study area was recognized as Very High and High flood susceptibility, which focused on the littoral zone and along the river. 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| subjects | Decision making Development policy Emergency preparedness Environmental risk Flood management Flooding Floods Fuzzy logic Geographic information systems Land use management Land use planning Littoral environments Littoral zone Model accuracy Multivariate analysis Rain Rainfall Remote sensing Risk management Risk reduction Rivers Sustainable development Variables |
| title | FLOOD SUSCEPTIBILITY ASSESSMENT IN CENTRAL REGION OFVIETNAM BASED ON ENSEMBLE FUZZY LOGIC AND MULTIVARIATE ANALYSIS |
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