Assessing dynamic coastal vulnerability to climate hazards: A geospatial approach in Kakinada District, Andhra Pradesh, India
This study assesses the dynamic coastal vulnerability of Kakinada district in India by integrating various geophysical and socioeconomic factors within a geospatial framework. The analysis examines data from 2001, 2011, and 2021, evaluating dynamic components like cyclone track density, tsunami surg...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-06-01
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| Series: | Environmental and Sustainability Indicators |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665972725000431 |
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| author | Ganni Satya Venkata Sai Aditya Bharadwaz Indrajit Pal Chitrini Mozumder Mokbul Morshed Ahmad |
| author_facet | Ganni Satya Venkata Sai Aditya Bharadwaz Indrajit Pal Chitrini Mozumder Mokbul Morshed Ahmad |
| author_sort | Ganni Satya Venkata Sai Aditya Bharadwaz |
| collection | DOAJ |
| description | This study assesses the dynamic coastal vulnerability of Kakinada district in India by integrating various geophysical and socioeconomic factors within a geospatial framework. The analysis examines data from 2001, 2011, and 2021, evaluating dynamic components like cyclone track density, tsunami surge, coastal erosion, temperature rainfall, population, land use/land cover, elevation, slope and drainage density, and transport network. The findings indicate that coastal residents are at high risk due to climate change and coastal hazards. The composite assessment of dynamic coastal vulnerability was estimated and mapped annually, revealing significant impacts across the district. In 2021, 91.17 km2 of coastal tracts in Thallarevu, Kakinada Urban, Kakinada Rural, Kothapallei, and Thondangi were classified as very high vulnerability zones. An additional 239.98 km2 was categorized as high vulnerability and 267.17 km2 as moderate vulnerability. Overall, 598.32 km2 out of 1647.68 km2 exhibited moderate to very high vulnerability, highlighting the threats from coastal erosion and human encroachment. Significant coastal erosion was identified, with shoreline changes ranging from 604.35 to 1016.25 m over the past two decades, particularly in the southern district. Sea level rise was a critical factor, especially in Kajuluru and Thallarevu, and rapid population growth and urban development exacerbated vulnerability by reducing vegetation cover and increasing built-up areas. Thondangi and Kakinada urban were identified as the most vulnerable blocks, requiring urgent adaptation and mitigation strategies. The study recommends enhancing local services such as clean water, sanitation, primary healthcare, skill development, and flood shelters linked by efficient transportation networks could improve living standards and reduce vulnerability. |
| format | Article |
| id | doaj-art-e97343a43c6d4cf28940accc5441bb16 |
| institution | Kabale University |
| issn | 2665-9727 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Environmental and Sustainability Indicators |
| spelling | doaj-art-e97343a43c6d4cf28940accc5441bb162025-02-03T04:16:56ZengElsevierEnvironmental and Sustainability Indicators2665-97272025-06-0126100622Assessing dynamic coastal vulnerability to climate hazards: A geospatial approach in Kakinada District, Andhra Pradesh, IndiaGanni Satya Venkata Sai Aditya Bharadwaz0Indrajit Pal1Chitrini Mozumder2Mokbul Morshed Ahmad3Disaster Preparedness, Mitigation and Management, Department of Civil and Infrastructure Engineering (CIE), School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Pathum Thani, ThailandDisaster Preparedness, Mitigation and Management, Department of Civil and Infrastructure Engineering (CIE), School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Pathum Thani, Thailand; Corresponding author. Disaster Preparedness, Mitigation and Management (DPMM), Department of Civil and Infrastructure Engineering (CIE), Asian Institute of Technology (AIT), Pathum Thani, 12120, Thailand.Remote Sensing and Geographical Information Systems, Department of Information & Communications Technologies (ICT), School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Pathum Thani, ThailandDevelopment Planning Management and Innovation, Department of Development and Sustainability (DS), School of Environment, Resources and Development, Asian Institute of Technology, P.O. Box 4, Pathum Thani, ThailandThis study assesses the dynamic coastal vulnerability of Kakinada district in India by integrating various geophysical and socioeconomic factors within a geospatial framework. The analysis examines data from 2001, 2011, and 2021, evaluating dynamic components like cyclone track density, tsunami surge, coastal erosion, temperature rainfall, population, land use/land cover, elevation, slope and drainage density, and transport network. The findings indicate that coastal residents are at high risk due to climate change and coastal hazards. The composite assessment of dynamic coastal vulnerability was estimated and mapped annually, revealing significant impacts across the district. In 2021, 91.17 km2 of coastal tracts in Thallarevu, Kakinada Urban, Kakinada Rural, Kothapallei, and Thondangi were classified as very high vulnerability zones. An additional 239.98 km2 was categorized as high vulnerability and 267.17 km2 as moderate vulnerability. Overall, 598.32 km2 out of 1647.68 km2 exhibited moderate to very high vulnerability, highlighting the threats from coastal erosion and human encroachment. Significant coastal erosion was identified, with shoreline changes ranging from 604.35 to 1016.25 m over the past two decades, particularly in the southern district. Sea level rise was a critical factor, especially in Kajuluru and Thallarevu, and rapid population growth and urban development exacerbated vulnerability by reducing vegetation cover and increasing built-up areas. Thondangi and Kakinada urban were identified as the most vulnerable blocks, requiring urgent adaptation and mitigation strategies. The study recommends enhancing local services such as clean water, sanitation, primary healthcare, skill development, and flood shelters linked by efficient transportation networks could improve living standards and reduce vulnerability.http://www.sciencedirect.com/science/article/pii/S2665972725000431KakinadaCoastal riskDynamic vulnerabilityExposureSensitivityAdaptive capacity |
| spellingShingle | Ganni Satya Venkata Sai Aditya Bharadwaz Indrajit Pal Chitrini Mozumder Mokbul Morshed Ahmad Assessing dynamic coastal vulnerability to climate hazards: A geospatial approach in Kakinada District, Andhra Pradesh, India Environmental and Sustainability Indicators Kakinada Coastal risk Dynamic vulnerability Exposure Sensitivity Adaptive capacity |
| title | Assessing dynamic coastal vulnerability to climate hazards: A geospatial approach in Kakinada District, Andhra Pradesh, India |
| title_full | Assessing dynamic coastal vulnerability to climate hazards: A geospatial approach in Kakinada District, Andhra Pradesh, India |
| title_fullStr | Assessing dynamic coastal vulnerability to climate hazards: A geospatial approach in Kakinada District, Andhra Pradesh, India |
| title_full_unstemmed | Assessing dynamic coastal vulnerability to climate hazards: A geospatial approach in Kakinada District, Andhra Pradesh, India |
| title_short | Assessing dynamic coastal vulnerability to climate hazards: A geospatial approach in Kakinada District, Andhra Pradesh, India |
| title_sort | assessing dynamic coastal vulnerability to climate hazards a geospatial approach in kakinada district andhra pradesh india |
| topic | Kakinada Coastal risk Dynamic vulnerability Exposure Sensitivity Adaptive capacity |
| url | http://www.sciencedirect.com/science/article/pii/S2665972725000431 |
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