Articles | Volume 24, issue 9
https://doi.org/10.5194/nhess-24-3013-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-3013-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Sep 2024
Research article |
| 10 Sep 2024
| 10 Sep 2024
Shoreline and land use–land cover changes along the 2004-tsunami-affected South Andaman coast: understanding changing hazard susceptibility
Vikas Ghadamode
CSIR – National Geophysical Research Institute, Hyderabad, 500007, India
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
Aruna Kumari Kondarathi
CSIR – National Geophysical Research Institute, Hyderabad, 500007, India
CSIR – National Geophysical Research Institute, Hyderabad, 500007, India
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
Kirti Srivastava
CSIR – National Geophysical Research Institute, Hyderabad, 500007, India
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EGUsphere, https://doi.org/10.5194/egusphere-2022-533, https://doi.org/10.5194/egusphere-2022-533, 2022
Preprint archived
Short summary
Short summary
Bedrock landslides are currently spatially dispersed over a process of landscape evolution in the NW Himalayan river catchments. Our analysis indicates that the zones with slope range between 24–32°, topographic relief ranges between 800–1200 m, and elevation range between 1200–2400 m, are compatible with precipitation intensity ranges between 1500–3000 mm/year in the NW Himalayan river catchments, have the highest probability of frequently occurring landslides.
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Short summary
In 2004-tsunami-affected South Andaman, tsunami wave propagation, arrival times, and run-up heights at 13 locations are computed to analyse pre- and post-tsunami shoreline and land use–land cover changes to understand the evolving hazard scenario. The LULC changes and dynamic shoreline changes are observed in zones 3, 4, and 5 owing to dynamic population changes, infrastructural growth, and gross state domestic product growth. Economic losses would increase 5-fold for a similar tsunami.
In 2004-tsunami-affected South Andaman, tsunami wave propagation, arrival times, and run-up...
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