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It not only damages the life, property and resources, but also hampers the economy of a nation. In this paper, an attempt has been made to delineate flood vulnerability areas for Kulik river basin through frequency ratio model. Parameters like slope, elevation, rainfall, drainage density, land use\u2013land cover, TWI, population density, road density and household density were endorsed for understanding flood mechanism. In general, 70 (70%) flood locations from flood inventory map were randomly selected for constructing flood vulnerability map parameters and the rest 30 (30%) flood locations were used for justifying the outcomes. Flood vulnerability zone map was classified into five zones such as very low (2.02\u00a0km<jats:sup>2<\/jats:sup>), low (2.45\u00a0km<jats:sup>2<\/jats:sup>), moderately low (2.44\u00a0km<jats:sup>2<\/jats:sup>), high vulnerable (2.26\u00a0km<jats:sup>2<\/jats:sup>) and very high vulnerable (1.21\u00a0km<jats:sup>2<\/jats:sup>) area. As the AUC value for success rate is 0.901, the constructed flood vulnerable map with FR model is very much accurate for this river basin. The outcome of this paper will help the planners and decision-makers to take some probable measure to minimize flood vulnerability in this region.<\/jats:p>","DOI":"10.1007\/s13201-019-1102-x","type":"journal-article","created":{"date-parts":[[2019,12,2]],"date-time":"2019-12-02T10:36:33Z","timestamp":1575282993000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":214,"title":["Flood vulnerability mapping using frequency ratio (FR) model: a case study on Kulik river basin, Indo-Bangladesh Barind region"],"prefix":"10.1007","volume":"10","author":[{"given":"Debabrata","family":"Sarkar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Prolay","family":"Mondal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,11,30]]},"reference":[{"key":"1102_CR1","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.jhydrol.2012.03.028","volume":"440\u201341","author":"KAN Adiat","year":"2012","unstructured":"Adiat KAN, Nawawi MNM, Abdullah K (2012) Assessing the accuracy of GIS-based elementary multi criteria decision analysis as a spatial prediction tool-a case of predicting potential zones of sustainable groundwater resources. 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