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@article{191933,
        author = {Reddy Bala Sai Sunder Naidu and Vemu Sreenivasulu},
        title = {Assessment of Coastal Vulnerability Along the Kakinada Coast Using a GIS-Based Coastal Vulnerability Index– a case study of the Kakinada district Coast, Andhra Pradesh, India},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {8621-8630},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191933},
        abstract = {This study assesses the physical coastal vulnerability of the Kakinada coast, Andhra Pradesh, India, using a GIS-based Coastal Vulnerability Index (CVI) approach. Five key parameters—geomorphology, coastal slope, shoreline change rate, spring tide range, and significant wave height—were integrated using multi-temporal satellite data, remote sensing, and secondary sources. The CVI was computed using a geometric mean method and classified into five vulnerability categories. Results indicate that most of the coastline falls under moderate to high vulnerability, with very high vulnerability concentrated along erosion-prone sectors such as Uppada and near Kakinada Port. These areas are characterized by low coastal slope, unconsolidated landforms, and persistent shoreline retreat. The study confirms that the GIS-based CVI method is an effective tool for identifying vulnerable coastal stretches and supports its application for coastal management and planning.},
        keywords = {Coastal Vulnerability Index; Shoreline Change Rate; Coastal Slope; Significant Wave Height; Spring Tide Range; Kakinada Coast},
        month = {January},
        }