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Urban flood vulnerability assessment in a densely urbanized city using multi-factor analysis and machine learning algorithms |
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| Authors: | Parvin Farhana Ali Sk Ajim Calka Beata Bielecka Elzbieta Linh Nguyen Thi Thuy Pham Quoc Bao |
| Institution: | 1.Department of Geography, Faculty of Science, Aligarh Muslim University (AMU), Aligarh, UP, 202002, India ;2.Institute of Geospatial Engineering and Geodesy, Faculty of Civil Engineering and Geodesy, Military University of Technology, 00-908, Warsaw, Poland ;3.Institute of Applied Technology, Thu Dau Mot University, Binh Duong Province, Vietnam ;4.Faculty of Natural Sciences, Institute of Earth Sciences, University of Silesia in Katowice, Będzińska street 60, 41-200, Sosnowiec, Poland ; |
| Abstract: | Theoretical and Applied Climatology - Flood is considered as the most devastating natural hazards that cause the death of many lives worldwide. The present study aimed to predict flood... |
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