Articles | Volume 15, issue 6
https://doi.org/10.5194/nhess-15-1103-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-15-1103-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Seismic vulnerability and risk assessment of Kolkata City, India
Department of Geology and Geophysics, Indian Institute of Technology Kharagpur, 721302, West Bengal, India
M. D. Adhikari
Department of Geology and Geophysics, Indian Institute of Technology Kharagpur, 721302, West Bengal, India
N. Devaraj
Department of Geology and Geophysics, Indian Institute of Technology Kharagpur, 721302, West Bengal, India
S. K. Maiti
Department of Geology and Geophysics, Indian Institute of Technology Kharagpur, 721302, West Bengal, India
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EGUsphere, https://doi.org/10.5194/egusphere-2025-1169, https://doi.org/10.5194/egusphere-2025-1169, 2025
Preprint archived
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1. A total of 112 landslide locations were identified in the Jecheon-si region, South Korea, based on aerial photos, dronographs and Google Earth imagery. 2. GIS-based statistical models (i.e., FR, IV, CF and LR) were used for landslide susceptibility mapping. 3. The ROC curve, R-index, MAE, MSE, RMSE, and precision were used to assess the model's. 4. The LSI predicted using an integrated model exhibited good agreement with topographic and landslide characteristics.
Jérémie Tuganishuri, Chan-Young Yune, Gihong Kim, Seung Woo Lee, Manik Das Adhikari, and Sang-Guk Yum
Nat. Hazards Earth Syst. Sci., 25, 1481–1499, https://doi.org/10.5194/nhess-25-1481-2025, https://doi.org/10.5194/nhess-25-1481-2025, 2025
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To reduce the consequences of landslides due to rainfall, such as loss of life, economic losses, and disruption to daily living, this study describes the process of building a machine learning model which can help to estimate the volume of landslide material that can occur in a particular region, taking into account antecedent rainfall, soil characteristics, type of vegetation, etc. The findings can be useful for land use management, infrastructure design, and rainfall disaster management.
Sang-Guk Yum, Moon-Soo Song, and Manik Das Adhikari
Nat. Hazards Earth Syst. Sci., 23, 2449–2474, https://doi.org/10.5194/nhess-23-2449-2023, https://doi.org/10.5194/nhess-23-2449-2023, 2023
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This study performed analysis on typhoon-induced coastal morphodynamics for the Mokpo coast. Wetland vegetation was severely impacted by Typhoon Soulik, with 87.35 % of shoreline transects experiencing seaward migration. This result highlights the fact that sediment resuspension controls the land alteration process over the typhoon period. The land accretion process dominated during the pre- to post-typhoon periods.
Tuganishuri Jérémie, Chan-Young Yune, Gihong Kim, Seung Woo Lee, Manik Adhikari, and Sang-Guk Yum
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-73, https://doi.org/10.5194/nhess-2023-73, 2023
Manuscript not accepted for further review
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The prediction of the size of rainfall-induced debris in South Korea was analyzed. The model suitability was carried out and Random forest was the most suitable for the Size of debris prediction. The most contributing factor in the model was slope length and the most vulnerable region to higher frequency and severe debris was Gangwon province. The findings may be used for rainfall induced-debris prevention policies and post-disaster rehabilitation planning.
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Short summary
We microzoned seismic hazard of the City of Kolkata, India by integrating seismological, geological and geotechnical themes in GIS which in turn is integrated with the vulnerability components in a logic-tree framework for the estimation of both the socio-economic and structural risk of the City. The cumulative damage probabilities in terms of ‘none’, ‘slight’, ‘moderate’, ‘extensive’ and ‘complete’ have been assessed for the predominantly four model building types RM2L, RM2M, URML and URMM.
We microzoned seismic hazard of the City of Kolkata, India by integrating seismological,...
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