Flood susceptibility assessment in central region of Vietnam 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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Format: | Article |
Language: | English |
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NR&DI URBAN-INCERC
2022-06-01
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Series: | Urbanism. Arhitectura. Constructii |
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Online Access: | https://uac.incd.ro/Art/v13n1a4.pdf |
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author | Duc-Loc Nguyen Tien-Yin Chou Mei-Hsin Chen Thanh-Van Hoang Trong-Phuong Tran Thanh-Son Ngo Ngoc-Anh Do Thi Thu-Huong Bui Quoc-Huy Nguyen |
author_facet | Duc-Loc Nguyen Tien-Yin Chou Mei-Hsin Chen Thanh-Van Hoang Trong-Phuong Tran Thanh-Son Ngo Ngoc-Anh Do Thi Thu-Huong Bui Quoc-Huy Nguyen |
author_sort | Duc-Loc Nguyen |
collection | DOAJ |
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. |
first_indexed | 2024-04-13T20:07:30Z |
format | Article |
id | doaj.art-09bf3279ae4f465f97770dd0df596417 |
institution | Directory Open Access Journal |
issn | 2069-6469 |
language | English |
last_indexed | 2024-04-13T20:07:30Z |
publishDate | 2022-06-01 |
publisher | NR&DI URBAN-INCERC |
record_format | Article |
series | Urbanism. Arhitectura. Constructii |
spelling | doaj.art-09bf3279ae4f465f97770dd0df5964172022-12-22T02:31:56ZengNR&DI URBAN-INCERCUrbanism. Arhitectura. Constructii2069-64692022-06-011312944Flood susceptibility assessment in central region of Vietnam based on ensemble fuzzy logic and multivariate analysisDuc-Loc Nguyen0Tien-Yin Chou1Mei-Hsin Chen2Thanh-Van Hoang3Trong-Phuong Tran4Thanh-Son Ngo5Ngoc-Anh Do Thi6Thu-Huong Bui7Quoc-Huy Nguyen8Vietnam National University of Agriculture, VietnamFeng Chia University, TaiwanFeng Chia University, TaiwanFeng Chia University, TaiwanVietnam National University of Agriculture, VietnamVietnam National University of Agriculture, VietnamVietnam National University, VietnamVietnam National University, VietnamVietnam National University, VietnamFlooding 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.https://uac.incd.ro/Art/v13n1a4.pdffloodfuzzy ahpgisha tinhvietnam |
spellingShingle | Duc-Loc Nguyen Tien-Yin Chou Mei-Hsin Chen Thanh-Van Hoang Trong-Phuong Tran Thanh-Son Ngo Ngoc-Anh Do Thi Thu-Huong Bui Quoc-Huy Nguyen Flood susceptibility assessment in central region of Vietnam based on ensemble fuzzy logic and multivariate analysis Urbanism. Arhitectura. Constructii flood fuzzy ahp gis ha tinh vietnam |
title | Flood susceptibility assessment in central region of Vietnam based on ensemble fuzzy logic and multivariate analysis |
title_full | Flood susceptibility assessment in central region of Vietnam based on ensemble fuzzy logic and multivariate analysis |
title_fullStr | Flood susceptibility assessment in central region of Vietnam based on ensemble fuzzy logic and multivariate analysis |
title_full_unstemmed | Flood susceptibility assessment in central region of Vietnam based on ensemble fuzzy logic and multivariate analysis |
title_short | Flood susceptibility assessment in central region of Vietnam based on ensemble fuzzy logic and multivariate analysis |
title_sort | flood susceptibility assessment in central region of vietnam based on ensemble fuzzy logic and multivariate analysis |
topic | flood fuzzy ahp gis ha tinh vietnam |
url | https://uac.incd.ro/Art/v13n1a4.pdf |
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