4.7 Article

GIS-Based Urban Flood Resilience Assessment Using Urban Flood Resilience Model: A Case Study of Peshawar City, Khyber Pakhtunkhwa, Pakistan

Journal

REMOTE SENSING
Volume 13, Issue 10, Pages -

Publisher

MDPI
DOI: 10.3390/rs13101864

Keywords

UFResi-M; geographical information system; urban flood resilience; analytical hierarchy process (AHP); Pakistan

Funding

  1. national key research and development program of China [2018YFC1508804]
  2. Key Scientific and Technology Research and Development Program of Jilin Province [20180201033SF]
  3. Key Research and Development Projects of Science and Technology Department of Jilin Province, Development of dynamic risk early warning technology and refined information sharing platform for urban rainstorm and water logging disaster [20200403074sf]

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This study aims to assess urban flood resilience by proposing the UFResi-M model, which evaluates urban flood hazard, exposure, susceptibility, and coping capacity through AHP. The results show that in the western zone of the study area, the northern and central parts have very high resilience, while the southern and southwestern parts have very low resilience. In the eastern zone, the northwest and southwest parts have very high resilience, while the northern and western parts have very low resilience.
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-H, I-E, and I-S-that represent sensitivity, while the second part represents coping capacity (I-Cc). 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.

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