Pol. J. Environ. Stud. Vol. 31, No. 4 (2022), 3249-3261 Original Research Flood Susceptibility Assessment Using Frequency Ratio Modelling Approach in Northern Sindh and Southern Punjab, Pakistan Awais Munir 1 , Muhammad Asad Ghufran 1 , Syeda Maria Ali 1 , Asma Majeed 2 *, Aniqa Batool 3 , Muhammad Bachal Alias Sahib Khan 2 , Ghulam Hassan Abbasi 2 1 Department of Environmental Science, International Islamic University Islamabad, Pakistan 2 Department of Environmental Science, The Islamia University of Bahawalpur, Pakistan 3 Department of Environmental Sciences, PMAS Arid Agriculture University, Rawalpindi, Pakistan Received: 17 September 2021 Accepted: 7 January 2022 Abstract Flooding is among the most catastrophic and common natural events. It not only endangers human lives, their livelihoods, and possessions but also devastates the nation’s economy. Increased fooding is an inevitable consequence of climate change. Hence, Identifcation of food suspectable hotspots is vital for food risk management along with disaster handling. The primary objective of this research is to use a frequency ratio model to classify food-prone zones in two provinces of Pakistan. The food inventory map was developed using 230 food location points in Northern Sindh and Southern Punjab. Aspect, profle curvature, elevation, slope, normalized difference vegetation index (NDVI), normalized difference soil index (NDSI), distance from the road, distance from the river, land use/land cover (LULC) and rainfall were among the ten (10) determining factors. The data were randomly divided into two distinct datasets, with 70% food points (161) used for inventory formulation and the other 30% (69 food points) for result validation. The food vulnerability map was categorized into fve different zones ranging from very low (19.73%) to very high (20.37%) susceptibility range. The area under the receiver operating characteristic curve (ROC) and area under curve (AUC) was used to demonstrate the prediction result that yielded a reasonable score of 77.4%. The study suggested that in comparison to other studied districts, Jacobabad is the most prone region with acute vulnerability and constrained resilience. The presented data can serve as a source for tracking, assessing, and predicting potential food activity in the area and could be benefcial for planners and decision-makers involved in early disaster response planning within the country. Keywords: food susceptibility, GIS modelling, food inventory mapping, conditioning factors, frequency ratio modelling *e-mail: asmamajeedrana@gmail.com DOI: 10.15244/pjoes/145607 ONLINE PUBLICATION DATE: 2022-04-07