GIS-Based Urban Flood Resilience Assessment Using Urban Flood Resilience Model: A Case Study of Peshawar City, Khyber Pakhtunkhwa, Pakistan
Urban flooding has been an alarming issue in the past around the globe, particularly in South Asia. Pakistan is no exception from this situation where urban floods with associated damages are frequently occurring phenomena. In Pakistan, rapid urbanization is the key factor for urban flooding, which...
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MDPI AG
2021-05-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/10/1864 |
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| author | Muhammad Tayyab Jiquan Zhang Muhammad Hussain Safi Ullah Xingpeng Liu Shah Nawaz Khan Muhammad Aslam Baig Waqas Hassan Bazel Al-Shaibah |
| author_facet | Muhammad Tayyab Jiquan Zhang Muhammad Hussain Safi Ullah Xingpeng Liu Shah Nawaz Khan Muhammad Aslam Baig Waqas Hassan Bazel Al-Shaibah |
| author_sort | Muhammad Tayyab |
| collection | DOAJ |
| description | Urban flooding has been an alarming issue in the past around the globe, particularly in South Asia. Pakistan is no exception from this situation where urban floods with associated damages are frequently occurring phenomena. In Pakistan, rapid urbanization is the key factor for urban flooding, which is not taken into account. This study aims to identify flood sensitivity and coping capacity while assessing urban flood resilience and move a step toward the initialization of resilience, specifically for Peshawar city and generally for other cities of Pakistan. To achieve this aim, an attempt has been made to propose an integrated approach named the “urban flood resilience model (UFResi-M),” which is based on geographical information system(GIS), remote sensing (RS), and the theory of analytical hierarchy process (AHP). The UFResi-M incorporates four main factors—urban flood hazard, exposure, susceptibility, and coping capacity into two parts, i.e., sensitivity and coping capacity. The first part consists of three factors—<i>I<sub>H</sub></i>, <i>I<sub>E</sub></i>, and <i>I<sub>S</sub></i>—that represent sensitivity, while the second part represents coping capacity (<i>I<sub>Cc</sub></i>). All four indicators were weighted through AHP to obtain product value for each indicator. The result showed that in the Westzone of the study area, the northwestern and central parts have very high resilience, whereas the southern and southwestern parts have very low resilience. Similarly, in the East zone of the study area, the northwest and southwest parts have very high resilience, while the northern and western parts have very low resilience. The likelihood of the proposed model was also determined using the receiver operating characteristic (ROC) curve method; the area under the curve acquired for the model was 0.904. The outcomes of these integrated assessments can help in tracking community performance and can provide a tool to decision makers to integrate the resilience aspect into urban flood management, urban development, and urban planning. |
| first_indexed | 2024-03-10T11:32:51Z |
| format | Article |
| id | doaj.art-9311ecb71312484aa7b147d38a09ba82 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T11:32:51Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-9311ecb71312484aa7b147d38a09ba822023-11-21T19:06:47ZengMDPI AGRemote Sensing2072-42922021-05-011310186410.3390/rs13101864GIS-Based Urban Flood Resilience Assessment Using Urban Flood Resilience Model: A Case Study of Peshawar City, Khyber Pakhtunkhwa, PakistanMuhammad Tayyab0Jiquan Zhang1Muhammad Hussain2Safi Ullah3Xingpeng Liu4Shah Nawaz Khan5Muhammad Aslam Baig6Waqas Hassan7Bazel Al-Shaibah8Institute of Natural Disaster Research, School of Environment, Northeast Normal University, Changchun 130024, ChinaInstitute of Natural Disaster Research, School of Environment, Northeast Normal University, Changchun 130024, ChinaInstitute of Natural Disaster Research, School of Environment, Northeast Normal University, Changchun 130024, ChinaDepartment of Atmospheric and Oceanic Sciences, Institute of Atmospheric Sciences, Fudan University, Shanghai 200438, ChinaInstitute of Natural Disaster Research, School of Environment, Northeast Normal University, Changchun 130024, ChinaCentre for Disaster Preparedness and Management, University of Peshawar, Peshawar 25120, PakistanA Key Laboratory for Mountain Hazard and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, ChinaNational Engineering Research Center for Geographic Information System, School of Geography, China University of Geosciences, Wuhan 430074, ChinaInstitute of Natural Disaster Research, School of Environment, Northeast Normal University, Changchun 130024, ChinaUrban flooding has been an alarming issue in the past around the globe, particularly in South Asia. Pakistan is no exception from this situation where urban floods with associated damages are frequently occurring phenomena. In Pakistan, rapid urbanization is the key factor for urban flooding, which is not taken into account. This study aims to identify flood sensitivity and coping capacity while assessing urban flood resilience and move a step toward the initialization of resilience, specifically for Peshawar city and generally for other cities of Pakistan. To achieve this aim, an attempt has been made to propose an integrated approach named the “urban flood resilience model (UFResi-M),” which is based on geographical information system(GIS), remote sensing (RS), and the theory of analytical hierarchy process (AHP). The UFResi-M incorporates four main factors—urban flood hazard, exposure, susceptibility, and coping capacity into two parts, i.e., sensitivity and coping capacity. The first part consists of three factors—<i>I<sub>H</sub></i>, <i>I<sub>E</sub></i>, and <i>I<sub>S</sub></i>—that represent sensitivity, while the second part represents coping capacity (<i>I<sub>Cc</sub></i>). All four indicators were weighted through AHP to obtain product value for each indicator. The result showed that in the Westzone of the study area, the northwestern and central parts have very high resilience, whereas the southern and southwestern parts have very low resilience. Similarly, in the East zone of the study area, the northwest and southwest parts have very high resilience, while the northern and western parts have very low resilience. The likelihood of the proposed model was also determined using the receiver operating characteristic (ROC) curve method; the area under the curve acquired for the model was 0.904. The outcomes of these integrated assessments can help in tracking community performance and can provide a tool to decision makers to integrate the resilience aspect into urban flood management, urban development, and urban planning.https://www.mdpi.com/2072-4292/13/10/1864UFResi-Mgeographical information systemurban flood resilienceanalytical hierarchy process (AHP)Pakistan |
| spellingShingle | Muhammad Tayyab Jiquan Zhang Muhammad Hussain Safi Ullah Xingpeng Liu Shah Nawaz Khan Muhammad Aslam Baig Waqas Hassan Bazel Al-Shaibah GIS-Based Urban Flood Resilience Assessment Using Urban Flood Resilience Model: A Case Study of Peshawar City, Khyber Pakhtunkhwa, Pakistan Remote Sensing UFResi-M geographical information system urban flood resilience analytical hierarchy process (AHP) Pakistan |
| title | GIS-Based Urban Flood Resilience Assessment Using Urban Flood Resilience Model: A Case Study of Peshawar City, Khyber Pakhtunkhwa, Pakistan |
| title_full | GIS-Based Urban Flood Resilience Assessment Using Urban Flood Resilience Model: A Case Study of Peshawar City, Khyber Pakhtunkhwa, Pakistan |
| title_fullStr | GIS-Based Urban Flood Resilience Assessment Using Urban Flood Resilience Model: A Case Study of Peshawar City, Khyber Pakhtunkhwa, Pakistan |
| title_full_unstemmed | GIS-Based Urban Flood Resilience Assessment Using Urban Flood Resilience Model: A Case Study of Peshawar City, Khyber Pakhtunkhwa, Pakistan |
| title_short | GIS-Based Urban Flood Resilience Assessment Using Urban Flood Resilience Model: A Case Study of Peshawar City, Khyber Pakhtunkhwa, Pakistan |
| title_sort | gis based urban flood resilience assessment using urban flood resilience model a case study of peshawar city khyber pakhtunkhwa pakistan |
| topic | UFResi-M geographical information system urban flood resilience analytical hierarchy process (AHP) Pakistan |
| url | https://www.mdpi.com/2072-4292/13/10/1864 |
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