Flood Risk Assessment of Metro System Using Improved Trapezoidal Fuzzy AHP: A Case Study of Guangzhou
Metro systems have become high-risk entities due to the increased frequency and severity of urban flooding. Therefore, understanding the flood risk of metro systems is a prerequisite for mega-cities’ flood protection and risk management. This study proposes a method for accurately assessing the floo...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-12-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/24/5154 |
_version_ | 1797501009424023552 |
---|---|
author | Guangpeng Wang Lianyou Liu Peijun Shi Guoming Zhang Jifu Liu |
author_facet | Guangpeng Wang Lianyou Liu Peijun Shi Guoming Zhang Jifu Liu |
author_sort | Guangpeng Wang |
collection | DOAJ |
description | Metro systems have become high-risk entities due to the increased frequency and severity of urban flooding. Therefore, understanding the flood risk of metro systems is a prerequisite for mega-cities’ flood protection and risk management. This study proposes a method for accurately assessing the flood risk of metro systems based on an improved trapezoidal fuzzy analytic hierarchy process (AHP). We applied this method to assess the flood risk of 14 lines and 268 stations of the Guangzhou Metro. The risk results validation showed that the accuracy of the improved trapezoidal fuzzy AHP (90% match) outperformed the traditional trapezoidal AHP (70% match). The distribution of different flood risk levels in Guangzhou metro lines exhibited a polarization signature. About 69% (155 km<sup>2</sup>) of very high and high risk zones were concentrated in central urban areas (Yuexiu, Liwan, Tianhe, and Haizhu); the three metro lines with the highest overall risk level were lines 3, 6, and 5; and the metro stations at very high risk were mainly located on metro lines 6, 3, 5, 1, and 2. Based on fieldwork, we suggest raising exits, installing watertight doors, and using early warning strategies to resist metro floods. This study can provide scientific data for decision-makers to reasonably allocate flood prevention resources, which is significant in reducing flood losses and promoting Guangzhou’s sustainable development. |
first_indexed | 2024-03-10T03:12:06Z |
format | Article |
id | doaj.art-edc18fd8de924037adbccb71c4d42cda |
institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-10T03:12:06Z |
publishDate | 2021-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Remote Sensing |
spelling | doaj.art-edc18fd8de924037adbccb71c4d42cda2023-11-23T10:25:33ZengMDPI AGRemote Sensing2072-42922021-12-011324515410.3390/rs13245154Flood Risk Assessment of Metro System Using Improved Trapezoidal Fuzzy AHP: A Case Study of GuangzhouGuangpeng Wang0Lianyou Liu1Peijun Shi2Guoming Zhang3Jifu Liu4Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, ChinaKey Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, ChinaKey Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, ChinaKey Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, ChinaKey Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, ChinaMetro systems have become high-risk entities due to the increased frequency and severity of urban flooding. Therefore, understanding the flood risk of metro systems is a prerequisite for mega-cities’ flood protection and risk management. This study proposes a method for accurately assessing the flood risk of metro systems based on an improved trapezoidal fuzzy analytic hierarchy process (AHP). We applied this method to assess the flood risk of 14 lines and 268 stations of the Guangzhou Metro. The risk results validation showed that the accuracy of the improved trapezoidal fuzzy AHP (90% match) outperformed the traditional trapezoidal AHP (70% match). The distribution of different flood risk levels in Guangzhou metro lines exhibited a polarization signature. About 69% (155 km<sup>2</sup>) of very high and high risk zones were concentrated in central urban areas (Yuexiu, Liwan, Tianhe, and Haizhu); the three metro lines with the highest overall risk level were lines 3, 6, and 5; and the metro stations at very high risk were mainly located on metro lines 6, 3, 5, 1, and 2. Based on fieldwork, we suggest raising exits, installing watertight doors, and using early warning strategies to resist metro floods. This study can provide scientific data for decision-makers to reasonably allocate flood prevention resources, which is significant in reducing flood losses and promoting Guangzhou’s sustainable development.https://www.mdpi.com/2072-4292/13/24/5154flood riskmetro systemimproved trapezoidal fuzzy AHPflood prevention measures |
spellingShingle | Guangpeng Wang Lianyou Liu Peijun Shi Guoming Zhang Jifu Liu Flood Risk Assessment of Metro System Using Improved Trapezoidal Fuzzy AHP: A Case Study of Guangzhou Remote Sensing flood risk metro system improved trapezoidal fuzzy AHP flood prevention measures |
title | Flood Risk Assessment of Metro System Using Improved Trapezoidal Fuzzy AHP: A Case Study of Guangzhou |
title_full | Flood Risk Assessment of Metro System Using Improved Trapezoidal Fuzzy AHP: A Case Study of Guangzhou |
title_fullStr | Flood Risk Assessment of Metro System Using Improved Trapezoidal Fuzzy AHP: A Case Study of Guangzhou |
title_full_unstemmed | Flood Risk Assessment of Metro System Using Improved Trapezoidal Fuzzy AHP: A Case Study of Guangzhou |
title_short | Flood Risk Assessment of Metro System Using Improved Trapezoidal Fuzzy AHP: A Case Study of Guangzhou |
title_sort | flood risk assessment of metro system using improved trapezoidal fuzzy ahp a case study of guangzhou |
topic | flood risk metro system improved trapezoidal fuzzy AHP flood prevention measures |
url | https://www.mdpi.com/2072-4292/13/24/5154 |
work_keys_str_mv | AT guangpengwang floodriskassessmentofmetrosystemusingimprovedtrapezoidalfuzzyahpacasestudyofguangzhou AT lianyouliu floodriskassessmentofmetrosystemusingimprovedtrapezoidalfuzzyahpacasestudyofguangzhou AT peijunshi floodriskassessmentofmetrosystemusingimprovedtrapezoidalfuzzyahpacasestudyofguangzhou AT guomingzhang floodriskassessmentofmetrosystemusingimprovedtrapezoidalfuzzyahpacasestudyofguangzhou AT jifuliu floodriskassessmentofmetrosystemusingimprovedtrapezoidalfuzzyahpacasestudyofguangzhou |