From Landslide Inventories to Landslide Risk Assessment; An Attempt to Support Methodological Development in India

Event-based landslide susceptibility mapping using weights of evidence (WoE) and modified frequency ratio (MFR) model: a case study of Rangamati district in Bangladesh

“…Extreme hydro-meteorological conditions, triggered by climate change thereby, increase the susceptibility of mountainous areas toward landslide hazards (Chen et al, 2016), which has become more devastating as the frequency and severity of the hazard had increased than before (Kanungo, Arora, Sarkar, & Gupta, 2009). Anthropogenic activities such as rapid unplanned urbanization and deforestation also combine with geological and geomorphological aspects that contribute to the occurrence of the landslide (Horelli, 2005;Van Westen, 2000). 2007, 2008, 2010, 2012, and 2015 are some of the years when this hazard had resulted in a widespread devastating impact on different south-eastern regions of Bangladesh (Sarwar, 2008) but the incidence that took place in 2017 has exceeded the past records of death and economic loss.…”

“…and based on their knowledge of past events, experience, and expertise, they assign weights to each factor accordingly (Ahmed, 2015;Intarawichian & Dasananda, 2010;Yilmaz & Yildirim, 2006). Deterministic analysis, on the other hand, is a detailed approach, used to quantify landslide hazards in individual slope with the help of slope stability model (Cleary, Prakash, & Rothauge, 2010;Zhou, Esaki, Mitani, Xie, & Mori, 2003) and calculation of factors of safety (Van Westen, 2000;van Westen, van Asch, & Soeters, 2005). It considers variables such as normal stress, the angle of friction, pore water pressure, and antecedent rainfall, and various hydrological and stability models are used together to calculate the probability of slope failure (Montgomery et al, 1994;Van Westen, 2000;Iverson, 2000;Van Westen et al,, 2011).…”

“…Deterministic analysis, on the other hand, is a detailed approach, used to quantify landslide hazards in individual slope with the help of slope stability model (Cleary, Prakash, & Rothauge, 2010;Zhou, Esaki, Mitani, Xie, & Mori, 2003) and calculation of factors of safety (Van Westen, 2000;van Westen, van Asch, & Soeters, 2005). It considers variables such as normal stress, the angle of friction, pore water pressure, and antecedent rainfall, and various hydrological and stability models are used together to calculate the probability of slope failure (Montgomery et al, 1994;Van Westen, 2000;Iverson, 2000;Van Westen et al,, 2011). The landslide susceptibility of the Rangamati district was produced using statistical approach due to high subjectivity error in heuristic analysis and complex methodology, huge data requirement in the deterministic analysis (Van Westen, 2000).…”

“…It considers variables such as normal stress, the angle of friction, pore water pressure, and antecedent rainfall, and various hydrological and stability models are used together to calculate the probability of slope failure (Montgomery et al, 1994;Van Westen, 2000;Iverson, 2000;Van Westen et al,, 2011). The landslide susceptibility of the Rangamati district was produced using statistical approach due to high subjectivity error in heuristic analysis and complex methodology, huge data requirement in the deterministic analysis (Van Westen, 2000).…”

Comparison of Earthquake-Triggered Landslide Inventories: A Case Study of the 2015 Gorkha Earthquake, Nepal

“…Landslide inventory maps are the basis of determining hazard and risk assessment [13,14]. Golovko et al [15] analyzed multiple sources of slope failures for the establishment of a comprehensive multitemporal landslide inventory.…”