Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Landslide Susceptibility Evaluation and Hazard Zonation for Idukki district—A Case Study from Kerala, India
Landslides are more common than any other geological phenomenon throughout the planet. Landslides are generally caused by geological and geomorphological processes that shape the local landscape. Previous research has found that the frequency and amplitude of landslides are increasing in many hilly or mountainous locations due to constant disruption by human activities such as urbanization, agricultural expansion, deforestation, clear-cutting, shifting agriculture, and inadequate road construction. As a result, both the internal and external factors are expected to increase the frequency, size, and volume of landslides. Furthermore, landslides are occurring more frequently and with greater intensity as a result of climate extremes in sensitive mountainous or hilly areas. It is critical to understand how the geographic distribution, frequency, amplitude, and volume of landslides affect the surrounding terrain. The significance of landslides and their effects on the natural environment is often neglected. This study investigates numerous landslides, mitigation techniques, and practical solutions for Idukki's most vulnerable regions. The study’s goals include investigating the use of GIS techniques in landslide prediction and creating an ArcGIS map of landslide hazard zones and a prediction map using Analytical Hierarchy Process. A number of thematic layers, including slope, rainfall, temperature, a geology map, and a map of land use and land cover, must be constructed using GIS and remote sensing data. To perform landslide susceptibility modeling, and hazard assessment, the AHP technique combines numerous remote sensing data with other landslide-related characteristics.
Landslide Susceptibility Evaluation and Hazard Zonation for Idukki district—A Case Study from Kerala, India
Landslides are more common than any other geological phenomenon throughout the planet. Landslides are generally caused by geological and geomorphological processes that shape the local landscape. Previous research has found that the frequency and amplitude of landslides are increasing in many hilly or mountainous locations due to constant disruption by human activities such as urbanization, agricultural expansion, deforestation, clear-cutting, shifting agriculture, and inadequate road construction. As a result, both the internal and external factors are expected to increase the frequency, size, and volume of landslides. Furthermore, landslides are occurring more frequently and with greater intensity as a result of climate extremes in sensitive mountainous or hilly areas. It is critical to understand how the geographic distribution, frequency, amplitude, and volume of landslides affect the surrounding terrain. The significance of landslides and their effects on the natural environment is often neglected. This study investigates numerous landslides, mitigation techniques, and practical solutions for Idukki's most vulnerable regions. The study’s goals include investigating the use of GIS techniques in landslide prediction and creating an ArcGIS map of landslide hazard zones and a prediction map using Analytical Hierarchy Process. A number of thematic layers, including slope, rainfall, temperature, a geology map, and a map of land use and land cover, must be constructed using GIS and remote sensing data. To perform landslide susceptibility modeling, and hazard assessment, the AHP technique combines numerous remote sensing data with other landslide-related characteristics.
Landslide Susceptibility Evaluation and Hazard Zonation for Idukki district—A Case Study from Kerala, India
Lecture Notes in Civil Engineering
Nehdi, Moncef (Herausgeber:in) / Hung, Mo Kim (Herausgeber:in) / Venkataramana, Katta (Herausgeber:in) / Antony, Jiji (Herausgeber:in) / Kavitha, P. E. (Herausgeber:in) / Beena B R (Herausgeber:in) / Aparna, K. P. (Autor:in) / Abhishek, R. N. (Autor:in) / Chaithra, T. (Autor:in) / Abhindev, M. (Autor:in)
International Conference on Structural Engineering and Construction Management ; 2023 ; Angamaly, India
03.11.2023
17 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Landslide Hazard Zonation Mapping of Champhai District of Mizoram, India
| Springer Verlag | 2023
Forecasting Landslides Using Mobility Functions: A Case Study from Idukki District, India
| Springer Verlag | 2021