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Impact assessment of very severe cyclonic storm (VSCS) amphan over mangrove cover of indian part of sundarbans using geospatial techniques

Author

Listed:
  • Sweta Chatterjee

    (Jadavpur University)

  • Oishani Chatterjee

    (Symbiosis Institute of Geo-Informatics)

  • Gupinath Bhandari

    (Jadavpur University)

Abstract

Amphan Cyclone being the Super Cyclonic Storm (SuCS) over West central Bay of Bengal (BoB)nearly 24 h, crossed West Bengal-Bangladesh coasts as Very Severe Cyclonic Strom (VSCS) on 20th May, 2020 and impacted widespread land cover and land use (LULC) of Sundarbans Biosphere Reserve (SBR), having mean surface wind speed of 240–250 kmph (130 knots) gusting to 275 kmph (145 knots). The primary goal of the study is to access the nature and level of sea surface temperature (SST) over the Bay of Bengal (BoB) during the Cyclone Amphan (2020), while, the secondary goal is to assess the formation of cyclone Amphan with impact measurement analysis over mangrove cover of Indian Sundarbans. The outcome on impact measurement analysis includes the proximity analysis, optimized hotspot analysis and inundation mapping with respect to storm surging shows that the severity of damage (Loss of mangrove forest at the rate of ~ 11.61%) was proximal to ~ 35 km of the trajectory of cyclone Amphan and Swatch of No Ground portion being the origin of Cyclone Amphan is the most hotspot region with regard to warming of sea surface at 31°20‵ approximately at pre monsoon season. This study also exhibits the low land areas with less than 5 m relief are at a greater risk to be inundated due to cyclonic occurrence. Sea Surface Temperature (SST) varies mostly at the pre monsoon season, ranging from 23° to 31° approximately and it continues till the monsoon season, ranging from 26° to 31°. In accordance, Cyclone Amphan hit West Bengal during the pre-monsoon season as Very Severe Cyclonic Storm (VSCS) that proves the hypothesis on onset of cyclone Amphan is truly influenced after sea surface temperature (SST) dynamicity. Utilizing t and Wilcox Tests on Pre Amphan and Post Amphan NDVI values, statistically observed that there is a significant difference between the values of Pre and Post with a very small p-value (

Suggested Citation

  • Sweta Chatterjee & Oishani Chatterjee & Gupinath Bhandari, 2025. "Impact assessment of very severe cyclonic storm (VSCS) amphan over mangrove cover of indian part of sundarbans using geospatial techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(11), pages 13305-13336, June.
  • Handle: RePEc:spr:nathaz:v:121:y:2025:i:11:d:10.1007_s11069-025-07314-z
    DOI: 10.1007/s11069-025-07314-z
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    References listed on IDEAS

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    1. Manoranjan Mishra & Dipika Kar & Manasi Debnath & Netrananda Sahu & Shreerup Goswami, 2022. "Rapid eco-physical impact assessment of tropical cyclones using geospatial technology: a case from severe cyclonic storms Amphan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(3), pages 2381-2395, February.
    2. Xu Zhang & Guangsheng Chen & Lingxiao Cai & Hongbo Jiao & Jianwen Hua & Xifang Luo & Xinliang Wei, 2021. "Impact Assessments of Typhoon Lekima on Forest Damages in Subtropical China Using Machine Learning Methods and Landsat 8 OLI Imagery," Sustainability, MDPI, vol. 13(9), pages 1-21, April.
    3. P. Villa & M. Boschetti & J. Morse & N. Politte, 2012. "A multitemporal analysis of tsunami impact on coastal vegetation using remote sensing: a case study on Koh Phra Thong Island, Thailand," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(1), pages 667-689, October.
    4. Sahadev Sharma & Rempei Suwa & Raghab Ray & Mohammad Shamim Hasan Mandal, 2022. "Successive Cyclones Attacked the World’s Largest Mangrove Forest Located in the Bay of Bengal under Pandemic," Sustainability, MDPI, vol. 14(9), pages 1-13, April.
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