Back to Search Start Over

A Hybrid Approach Using GIS-Based Fuzzy AHP–TOPSIS Assessing Flood Hazards along the South-Central Coast of Vietnam

Authors :
Huu Xuan Nguyen
An Thinh Nguyen
Anh Tu Ngo
Van Tho Phan
Trong Doi Nguyen
Van Thanh Do
Dinh Cham Dao
Dinh Tung Dang
Anh Tuan Nguyen
The Kien Nguyen
Luc Hens
Source :
Applied Sciences, Vol 10, Iss 20, p 7142 (2020)
Publication Year :
2020
Publisher :
MDPI AG, 2020.

Abstract

Flood hazards affect the local economy and the livelihood of residents along the South-Central Coast of Vietnam. Understanding the factors influencing floods’ occurrence potentially contributes to establish mitigation responses to the hazards. This paper deals with an empirical study on applying a combination of the fuzzy analytic hierarchy process (AHP), the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS), and a geographic information system (GIS) to assess flood hazards along the South-Central Coast of Vietnam. Data are collected from focus group discussions (FGDs) with five communal authorities; a questionnaire completed by eight hamlet heads in the Phuoc Thang commune (Binh Dinh province); and documents, reports, and thematic maps provided from official sources. A total of 12 maps of flood factors are prepared. The results show that terrain elevation, creek-bottom terrains, high tide-induced flooding area, and distance to water body are the main factors affecting flood hazards. The An Loi hamlet faces the highest risk for floods, followed by Lac Dien, Luong Binh, and Pho Dong. The map of flood hazards indicates the western part is assessed as low hazard, whereas the eastern part is a very high hazard area. The study findings show that the hybrid approach using GIS-based fuzzy AHP–TOPSIS allows connecting decision makers with the influencing factors of flooding. To mitigate floods, both the Vietnam national government and the Binh Dinh provincial government should integrate natural hazard mitigation into socio-economic development policies.

Details

Language :
English
ISSN :
20763417
Volume :
10
Issue :
20
Database :
Directory of Open Access Journals
Journal :
Applied Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.f54df4dd47ce449eb00e73c8e4df32d6
Document Type :
article
Full Text :
https://doi.org/10.3390/app10207142