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Asian Journal of Water, Environment and Pollution. Vol. 22, No. 2 (2025), pp. 64-86.
                doi: 10.36922/AJWEP025040019




                ORIGINAL RESEARCH ARTICLE

                        Geospatial flood modeling and risk assessment of
                floodplain villages along the Barak River, Northeast India




                                   Shanku Ghosh  and Chakkaravarthi Prakasam*

                   Department of Geography, School of Earth Sciences, Assam University Diphu Campus, Karbi Anglong, Assam, India
                                   *Corresponding author: Chakkaravarthi Prakasam (cprakasam@gmail.com)


                   Received: January 22, 2025; 1st revised: March 4, 2025; 2nd revised: March 15, 2024; Accepted: March 17, 2025;
                                                     Published Online: April 4, 2025




                     Abstract: Floods are events where areas or lands become submerged due to an excessive volume of water, leading
                     to various impacts, such as human casualties; property damage; and social, economic, and environmental losses.
                     This study aims to investigate the factors influencing flood hazard modeling using statistical models (e.g., frequency
                     ratio, Shannon entropy) to identify flood-prone areas and assess the flood risk in villages within the Barak River
                     basin for effective flood management. Among the states in India, Assam, Bihar, Uttar Pradesh, and West Bengal are
                     among those that are highly affected by floods. In Assam, the Barak and Brahmaputra River valleys are particularly
                     vulnerable to flooding, with Barak Valley being extremely prone to flood following monsoonal downpours and
                     breaches in river embankment. This study’s findings reveal that the entire Barak River floodplain (Barak Valley)
                     exhibits high to very high flood susceptibility. All districts within Barak Valley show more than 50% of their area
                     as flood-prone, with Karimganj district having the highest flood susceptibility, as 70% of its area is in the very high-
                     risk category, which is the highest among the districts. A total of 866 villages in the study area are highly vulnerable
                     to floods, accounting for 46% of the villages in the region. These villages are mostly located along the riverbanks
                     and low-lying areas surrounding water bodies. These findings emphasize the need for targeted flood management
                     strategies such as forecasting, early warning systems, and land use planning in these villages.

                     Keywords: Flood hazard; Vulnerability; Exposure risk assessment; Statistical models; Barak River basin



                1. Introduction                                     flood hazard, vulnerability, and risk, enabling reliable
                                                                    assessments and strengthening resilience  worldwide.
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                Global flood risk is a significant concern, with studies   Among the different types of disasters, floods are the
                showing an increasing trend in flood risk worldwide due   single  largest  disaster,  causing  21%  of  total  disaster
                to climate change.  High-income countries, including   deaths,  13.46%  of  injuries,  46.73%  of  the  disaster-
                                1-3
                Singapore, Japan, Luxembourg, and South Korea, are   affected population, and 24.38% of worldwide disaster
                among the most at-risk nations, with a slow but steady   economic damage.  Asia is home to a disproportionate
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                rise in flood risk projected under different scenarios.    share of 73% of the global flood-risk population. Within
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                Vulnerability  to  floods  is  influenced  by  exposure,   Asia,  South  Asia  bears  the  brunt  of  flood  impacts,
                sensitivity, and coping capacity, with spatial disparities   with 39% of the continent’s flood-affected population
                between  continents highlighting  Asia and Europe as   residing there, followed by Southeast and East  Asia
                high-risk areas.   To  address  the  challenges  of  flood   with  30%  and  20%,  respectively.  Globally, India is
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                              4
                risk assessment in developing regions, we need to map   the second most flood-affected country next to China.
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                Volume 22 Issue 2 (2025)                        64                           doi: 10.36922/AJWEP025040019
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