{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T23:42:10Z","timestamp":1778542930246,"version":"3.51.4"},"reference-count":26,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2024,8,22]],"date-time":"2024-08-22T00:00:00Z","timestamp":1724284800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Technical University Berlin (TU Berlin)"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Flooding poses a significant threat as a prevalent natural disaster. To mitigate its impact, identifying flood-prone areas through susceptibility mapping is essential for effective flood risk management. This study conducted flood susceptibility mapping (FSM) in Chandrapur district, Maharashtra, India, using geographic information system (GIS)-based frequency ratio (FR) and Shannon\u2019s entropy index (SEI) models. Seven flood-contributing factors were considered, and historical flood data were utilized for model training and testing. Model performance was evaluated using the area under the curve (AUC) metric. The AUC values of 0.982 for the SEI model and 0.966 for the FR model in the test dataset underscore the robust performance of both models. The results revealed that 5.4% and 8.1% (FR model) and 3.8% and 7.6% (SEI model) of the study area face very high and high risks of flooding, respectively. Comparative analysis indicated the superiority of the SEI model. The key limitations of the models are discussed. This study attempted to simplify the process for the easy and straightforward implementation of FR and SEI statistical flood susceptibility models along with key insights into the flood vulnerability of the study region.<\/jats:p>","DOI":"10.3390\/ijgi13080297","type":"journal-article","created":{"date-parts":[[2024,8,22]],"date-time":"2024-08-22T11:14:41Z","timestamp":1724325281000},"page":"297","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Flood Susceptibility Mapping Using GIS-Based Frequency Ratio and Shannon\u2019s Entropy Index Bivariate Statistical Models: A Case Study of Chandrapur District, India"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5924-1912","authenticated-orcid":false,"given":"Asheesh","family":"Sharma","sequence":"first","affiliation":[{"name":"CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Nagpur 440020, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5383-3477","authenticated-orcid":false,"given":"Mandeep","family":"Poonia","sequence":"additional","affiliation":[{"name":"CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Nagpur 440020, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ankush","family":"Rai","sequence":"additional","affiliation":[{"name":"CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Nagpur 440020, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rajesh B.","family":"Biniwale","sequence":"additional","affiliation":[{"name":"CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Nagpur 440020, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8878-5521","authenticated-orcid":false,"given":"Franziska","family":"T\u00fcgel","sequence":"additional","affiliation":[{"name":"Department of Water Resources, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands"},{"name":"Technische Universit\u00e4t Berlin, (TU Berlin), Department of Water Engineering and Management, Faculty of Engineering Technology, Gustav-Meyer-Allee 25, Sec. TIB1-B14, 13355 Berlin, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1350-9223","authenticated-orcid":false,"given":"Ekkehard","family":"Holzbecher","sequence":"additional","affiliation":[{"name":"Department of Applied Geosciences, German University of Technology in Oman (GUtech), Athaibah PC 130, Muscat P.O. Box 1816, Oman"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1088-2321","authenticated-orcid":false,"given":"Reinhard","family":"Hinkelmann","sequence":"additional","affiliation":[{"name":"Technische Universit\u00e4t Berlin, (TU Berlin), Chair of Water Resources Management and Modeling of Hydrosystems, Gustav-Meyer-Allee 25, Sec. TIB1-B14, 13355 Berlin, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,8,22]]},"reference":[{"key":"ref_1","unstructured":"(2024, July 26). 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