Flood Risk Assessment Using Geospatial Techniques: A Case Study of River Ravi-Punjab-Pakistan

Mareena Khurshed, Abdul Ghaffar, Kashif Mahmood ()
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Mareena Khurshed, Abdul Ghaffar, Kashif Mahmood: Institute of Geography, University of the Punjab, Lahore-Pakistan. Department of Geography, Government M.A.O Graduate College, Lahore-Pakistan. Department of Geography, Govt. College University, Faisalabad-Pakistan

International Journal of Innovations in Science & Technology, 2024, vol. 6, issue 6, 489-501

Abstract: Flooding, an increasingly prevalent environmental hazard, has been worsened by climate change, particularly affecting developing countries. Pakistan is especially vulnerable to hydrological hazards. This study aims to evaluate flood risk using geospatial technology and analyze return periods to assess the impacts of floods on crops. Water is a significant driver of landscape change. Landsat 8 datasets are utilized to examine crop patterns and built-up areas. Return periods of 50, 100, and 250 years are used to define risk zones, with gauges at Jassar, Syphon, and Shahdara considered. Historical images from 1995, 1996, and a recent year are analyzed to track changes in crop and built-up areas. SRTM and Pulsar DEM data are employed to study the watershed. The analysis indicates that over a 150-year period, the probability of a significant flood event is 0.25. This low probability suggests minimal water flow, with only small amounts arriving during the monsoon season, causing minimal disruptions to crops. These probabilities are based on established methodologies. While the probability of a significant flood event over 250 years is very low, it is included for classification purposes. The chance of a flood affecting crop patterns is 0.5, but this may vary if river water levels rise due to other sources. Nonetheless, current data and historical records indicate that the likelihood of floods significantly impacting crop patterns remains very low

Keywords: Hec-RAS; SRTM; DEM; Flood Damage Assessment (search for similar items in EconPapers)
Date: 2024
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