Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Investigation on Landslide Characteristics of 2018 Rainfall Triggered Landslide in Idukki District, Kerala
https://orcid.org/http://orcid.org/0000-0001-7098-076X
https://orcid.org/http://orcid.org/0000-0001-7525-2526
https://orcid.org/http://orcid.org/0000-0002-6501-6332
https://orcid.org/http://orcid.org/0000-0002-6823-0270
https://orcid.org/http://orcid.org/0000-0001-5821-6793
Landslides are one of the most devastating mass wasting hazards. They are generally associated with a triggering event such as rainfall, snow melt, earthquake, and storm. Often the landslides are of different sizes which makes the analysis of the frequency area distribution of landslides very important for the characterization of landslides. In this study, rainfall-triggered landslide have been studied by taking a case from Idukki, Kerala. The 2018 rainfall event triggered thousands of landslides in Idukki district causing huge damage. Following this event, a landslide inventory, consisting of several parameters such as location, length, width, area affected, geology, causative factors, etc., was prepared by agencies such as the National Remote Sensing Centre, Geological Survey of India and was made available for public use. This study is an attempt to explore the statistical behavior of landslides by analyzing the frequency area of landslides and developing a correlation with the underlying mechanism, commonly known as causative factors of landslides. The results of the analysis show that the frequency area of landslides is characterized by a power law relationship with a rollover at the small landslide. The frequency area distribution obtained from this study is also well approximated by both double Pareto and inverse gamma functions. The scaling exponent for medium and large landslides noted from the study is around -2.4 with a rollover at 392 m2. The observation from this study matches with similar studies conducted on the frequency area of landslides. Further, the study also investigates the role of causative factors such as slope, aspect, elevation, etc. to understand the control of these parameters in controlling the size and location of landslides in the Idukki district.
Investigation on Landslide Characteristics of 2018 Rainfall Triggered Landslide in Idukki District, Kerala
https://orcid.org/http://orcid.org/0000-0001-7098-076X
https://orcid.org/http://orcid.org/0000-0001-7525-2526
https://orcid.org/http://orcid.org/0000-0002-6501-6332
https://orcid.org/http://orcid.org/0000-0002-6823-0270
https://orcid.org/http://orcid.org/0000-0001-5821-6793
Landslides are one of the most devastating mass wasting hazards. They are generally associated with a triggering event such as rainfall, snow melt, earthquake, and storm. Often the landslides are of different sizes which makes the analysis of the frequency area distribution of landslides very important for the characterization of landslides. In this study, rainfall-triggered landslide have been studied by taking a case from Idukki, Kerala. The 2018 rainfall event triggered thousands of landslides in Idukki district causing huge damage. Following this event, a landslide inventory, consisting of several parameters such as location, length, width, area affected, geology, causative factors, etc., was prepared by agencies such as the National Remote Sensing Centre, Geological Survey of India and was made available for public use. This study is an attempt to explore the statistical behavior of landslides by analyzing the frequency area of landslides and developing a correlation with the underlying mechanism, commonly known as causative factors of landslides. The results of the analysis show that the frequency area of landslides is characterized by a power law relationship with a rollover at the small landslide. The frequency area distribution obtained from this study is also well approximated by both double Pareto and inverse gamma functions. The scaling exponent for medium and large landslides noted from the study is around -2.4 with a rollover at 392 m2. The observation from this study matches with similar studies conducted on the frequency area of landslides. Further, the study also investigates the role of causative factors such as slope, aspect, elevation, etc. to understand the control of these parameters in controlling the size and location of landslides in the Idukki district.
Investigation on Landslide Characteristics of 2018 Rainfall Triggered Landslide in Idukki District, Kerala
https://orcid.org/http://orcid.org/0000-0001-7098-076X
https://orcid.org/http://orcid.org/0000-0001-7525-2526
https://orcid.org/http://orcid.org/0000-0002-6501-6332
https://orcid.org/http://orcid.org/0000-0002-6823-0270
https://orcid.org/http://orcid.org/0000-0001-5821-6793
Landslides are one of the most devastating mass wasting hazards. They are generally associated with a triggering event such as rainfall, snow melt, earthquake, and storm. Often the landslides are of different sizes which makes the analysis of the frequency area distribution of landslides very important for the characterization of landslides. In this study, rainfall-triggered landslide have been studied by taking a case from Idukki, Kerala. The 2018 rainfall event triggered thousands of landslides in Idukki district causing huge damage. Following this event, a landslide inventory, consisting of several parameters such as location, length, width, area affected, geology, causative factors, etc., was prepared by agencies such as the National Remote Sensing Centre, Geological Survey of India and was made available for public use. This study is an attempt to explore the statistical behavior of landslides by analyzing the frequency area of landslides and developing a correlation with the underlying mechanism, commonly known as causative factors of landslides. The results of the analysis show that the frequency area of landslides is characterized by a power law relationship with a rollover at the small landslide. The frequency area distribution obtained from this study is also well approximated by both double Pareto and inverse gamma functions. The scaling exponent for medium and large landslides noted from the study is around -2.4 with a rollover at 392 m2. The observation from this study matches with similar studies conducted on the frequency area of landslides. Further, the study also investigates the role of causative factors such as slope, aspect, elevation, etc. to understand the control of these parameters in controlling the size and location of landslides in the Idukki district.
Investigation on Landslide Characteristics of 2018 Rainfall Triggered Landslide in Idukki District, Kerala
Lecture Notes in Civil Engineering
Verma, Amit Kumar (Herausgeber:in) / Singh, T. N. (Herausgeber:in) / Mohamad, Edy Tonnizam (Herausgeber:in) / Mishra, A. K. (Herausgeber:in) / Gamage, Ranjith Pathegama (Herausgeber:in) / Bhatawdekar, Ramesh (Herausgeber:in) / Wilkinson, Stephen (Herausgeber:in) / Rai, N. K. (Autor:in) / Singh, P. K. (Autor:in) / Shankar, Ravi (Autor:in)
International Conference on Geotechnical Issues in Energy, Infrastructure and Disaster Management ; 2024 ; Patna, India
01.12.2024
13 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
The June 2018 Karinchola Landslide, Kerala State, South India
| Springer Verlag | 2022