Appraisal of climate change and cyclone trends in Indian coastal states: a systematic approach towards climate action

Kantamaneni, Komali orcid iconORCID: 0000-0002-3852-4374, Panneer, Sigamani, Krishnan, Annaidasan, Shekhar, Sulochana, Bhat, Lekha, R, Aswathi K. and Rice, Louis (2022) Appraisal of climate change and cyclone trends in Indian coastal states: a systematic approach towards climate action. Arabian Journal of Geosciences, 15 (9). p. 814. ISSN 1866-7511

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Official URL: https://doi.org/10.1007/s12517-022-10076-8

Abstract

Abstract: Indian coastal regions have often been affected by frequent climate-induced natural disasters such as cyclones, floods, droughts and other related hazards in recent decades. Existing literature was not sufficient to fully understand these event trends from diverse perspectives in a systematised manner at current scenarios. Therefore, a systematic approach has been employed to assess the climate change and cyclone trends of nine Indian coastal states by using various geographical information system (GIS) tools for 2006–2020. The results showed that 61 cyclones occurred in nine coastal states from 2006 to 2020; the highest numbers were recorded in Odisha (20), West Bengal (14) and Andhra Pradesh (11). Accordingly, these three coastal states emerged as the most vulnerable for high-intensity cyclones. The results also identified that the highest average temperature (29.3 °C) was recorded at Tamil Nadu and Gujarat, and the lowest temperature (26.7 °C) was recorded in West Bengal and Odisha. Most of the coastal states showed fluctuations in temperatures during the study period. At the same time, Kerala and Karnataka states recorded the highest average rainfall (2341 mm and 2261 mm) and highest relative humidity (78.11% and 76.57%). Conversely, the Gujarat and West Bengal states recorded the lowest relative humidity at 59.65% and 70.78%. Based on these results, the current study generated GIS vulnerability maps for climate change and cyclone activity, allowing one to rank each state’s vulnerability. Cumulatively, these results and maps assist in understanding the driving mechanisms of climate change, cyclones and will contribute towards more effective and efficient sustainable disaster management in the future.


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