International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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India | Geography | Volume 14 Issue 12, December 2025 | Pages: 1101 - 1104


Spatial Correlation between Demographic Patterns and Flood-Prone areas in Jorhat District, Assam

Sangeeta Saikia, Dr. Nurul Amin

Abstract: The Brahmaputra basin in Assam is one of the most flood-prone regions in India, with recurrent floods causing severe socio-economic impacts. Jorhat district which is located in the Upper Brahmaputra Valley, experiences recurrent inundation, particularly in specific localities. This study examines the spatial correlation between demographic patterns and flood-prone zones in Jorhat district using Geographic Information System (GIS) techniques. A dataset of 10 frequently flood-affected villages was analyzed, including parameters such as total households, total population, gender distribution, and child population (0?6 years). Flood hazard zones were delineated using satellite-derived flood extent maps and Digital Elevation Model (DEM) analysis. Spatial overlays were conducted to identify demographic clusters in high-risk flood zones. Results show that villages with higher population densities and household counts, such as No.2 Kawoimari Gaon, Kolbari and Bahfalla Gaon, coincide with zones of high flood frequency. This correlation highlights the urgent need for targeted flood mitigation strategies focusing on the most vulnerable communities.

Keywords: GIS, flood-prone zones, Jorhat district, demographic patterns, Brahmaputra basin, vulnerability mapping

How to Cite?: Sangeeta Saikia, Dr. Nurul Amin, "Spatial Correlation between Demographic Patterns and Flood-Prone areas in Jorhat District, Assam", Volume 14 Issue 12, December 2025, International Journal of Science and Research (IJSR), Pages: 1101-1104, https://www.ijsr.net/getabstract.php?paperid=SR251213113057, DOI: https://dx.doi.org/10.21275/SR251213113057


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