Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Rainfall-Induced Landslide Hazard Analysis of Noonmati-Sunsali Hill Series in Guwahati City, Assam: A Physically-Based Model Approach
https://orcid.org/http://orcid.org/0000-0001-7007-2729
Hill slopes within the city of Guwahati comprise mostly unsaturated residual soils. The assessment of potential susceptibility to rainfall-induced landslide is governed by an effective modelling of the changes in matric suction in response to rainfall infiltration. This study presents the assessment of the rainfall-induced landslide susceptibility and hazard for the Noonmati-Sunsali hills in the Guwahati region, using the physically based model, viz. Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability (TRIGRS) model. In situ and laboratory investigations are conducted to ascertain the hydrological and geotechnical characteristics of the hillslope soils. The rainfall intensity–duration–frequency (I-D-F) relations are evaluated and are considered as input into TRIGRS simulation, and thereby the factor of safety (FoS) maps of the region are generated. The output of TRIGRS is validated based on in situ observations. FOS distribution maps of the study area were developed for different return periods of rainfall with varying intensity and duration. All the results are combined to produce a landslide hazard map. The rainfall events of longer duration, as well as the antecedent rainfall conditions, are observed more influential in triggering landslides in this area. The gradual degradation of slope stability under such conditions can reasonably be elucidated through such an analysis.
Rainfall-Induced Landslide Hazard Analysis of Noonmati-Sunsali Hill Series in Guwahati City, Assam: A Physically-Based Model Approach
https://orcid.org/http://orcid.org/0000-0001-7007-2729
Hill slopes within the city of Guwahati comprise mostly unsaturated residual soils. The assessment of potential susceptibility to rainfall-induced landslide is governed by an effective modelling of the changes in matric suction in response to rainfall infiltration. This study presents the assessment of the rainfall-induced landslide susceptibility and hazard for the Noonmati-Sunsali hills in the Guwahati region, using the physically based model, viz. Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability (TRIGRS) model. In situ and laboratory investigations are conducted to ascertain the hydrological and geotechnical characteristics of the hillslope soils. The rainfall intensity–duration–frequency (I-D-F) relations are evaluated and are considered as input into TRIGRS simulation, and thereby the factor of safety (FoS) maps of the region are generated. The output of TRIGRS is validated based on in situ observations. FOS distribution maps of the study area were developed for different return periods of rainfall with varying intensity and duration. All the results are combined to produce a landslide hazard map. The rainfall events of longer duration, as well as the antecedent rainfall conditions, are observed more influential in triggering landslides in this area. The gradual degradation of slope stability under such conditions can reasonably be elucidated through such an analysis.
Rainfall-Induced Landslide Hazard Analysis of Noonmati-Sunsali Hill Series in Guwahati City, Assam: A Physically-Based Model Approach
https://orcid.org/http://orcid.org/0000-0001-7007-2729
Hill slopes within the city of Guwahati comprise mostly unsaturated residual soils. The assessment of potential susceptibility to rainfall-induced landslide is governed by an effective modelling of the changes in matric suction in response to rainfall infiltration. This study presents the assessment of the rainfall-induced landslide susceptibility and hazard for the Noonmati-Sunsali hills in the Guwahati region, using the physically based model, viz. Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability (TRIGRS) model. In situ and laboratory investigations are conducted to ascertain the hydrological and geotechnical characteristics of the hillslope soils. The rainfall intensity–duration–frequency (I-D-F) relations are evaluated and are considered as input into TRIGRS simulation, and thereby the factor of safety (FoS) maps of the region are generated. The output of TRIGRS is validated based on in situ observations. FOS distribution maps of the study area were developed for different return periods of rainfall with varying intensity and duration. All the results are combined to produce a landslide hazard map. The rainfall events of longer duration, as well as the antecedent rainfall conditions, are observed more influential in triggering landslides in this area. The gradual degradation of slope stability under such conditions can reasonably be elucidated through such an analysis.
Rainfall-Induced Landslide Hazard Analysis of Noonmati-Sunsali Hill Series in Guwahati City, Assam: A Physically-Based Model Approach
Lecture Notes in Civil Engineering
Jose, Babu T. (Herausgeber:in) / Sahoo, Dipak Kumar (Herausgeber:in) / Oommen, Thomas (Herausgeber:in) / Muthukkumaran, Kasinathan (Herausgeber:in) / Chandrakaran, S. (Herausgeber:in) / Santhosh Kumar, T. G. (Herausgeber:in) / Dey, Arindam (Autor:in) / Sarma, Chiranjib Prasad (Autor:in) / Krishna, A. Murali (Autor:in)
Indian Geotechnical Conference ; 2022 ; Kochi, India
23.07.2024
13 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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