Human-Induced Landslide Risk Analysis at Durhasanlı Reservoir Site

Author(s):  
Murat Mollamahmutoğlu ◽  
Yılmaz Acar
Keyword(s):  
2019 ◽  
Vol 4 (1) ◽  
pp. 11-20
Author(s):  
C. Zoramthara ◽  
Lalthakima

Sateek village is vulnerable to plenty of disasters such as earthquake, landslide, forest fire and disease outbreak. Some other features like poverty, remote area from the city, lack of hospital and other emergency services make the people of this village more vulnerable. The present study deals with the idea of community based disaster management (CBDM) and their risk assessment in Sateek village, which is located in Aibawk block of Aizawl District, Mizoram, India. The data used in this research include collection of primary data through interview, questionnaire and Secondary data. Landslide risk analysis was carried out in quantitative approach. The study seized disaster assessment, resource analysis, risk and vulnerable profile and response plan and interpretation in various disaster of Sateek village and how community based disaster management (CBDM) plan can help the people to cope with hazards.


Landslides ◽  
2011 ◽  
Vol 9 (3) ◽  
pp. 371-384 ◽  
Author(s):  
Saibal Ghosh ◽  
Cees J. van Westen ◽  
Emmanuel John M. Carranza ◽  
Victor G. Jetten

CANTILEVER ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 53-61
Author(s):  
Mutiara Sari ◽  
Mona Foralisa Toyfur ◽  
Febrian Hadinata

The Regency of Kerinci and The City of Sungai Penuh are areas that prone to landslides. In 2021 and 2021, were 13 landslides on national road sections in both, which disrupted access to both areas. This study aims to calculate the index and determine the risk level of landslides on roads and bridges on national roads in both regions. Assessment methods and variables are taken based on the Guidelines for the Implementation of Risk Analysis for Natural Disasters Affecting Roads and Bridges. The index and risk level assessment are carried out by analyzing the risk factors for landslides, namely: hazard, exposure, vulnerability, external context, and capacity. The mapping of landslide risk based on Geographic Information Systems is based on scoring and weighting in all parameters, as well as overlays among all the constituent parameters. Based on the results of the study on ten national roads (with a total road length of 82.50 km) in the study area into two classes, namely: (a) low class (= 8.72%) on 7 roads located within the city, and (b) medium class (= 91.28%) on three roads connecting the cities.


Author(s):  
Sri Aminatun ◽  
Yunalia Muntafi

<em>Located on a hilly topography with a steep slope, highlighted the importance of settlement arrangement based on a landslide risk assessment in Girirejo village, Imogiri, Bantul, Yogyakarta. This study aims to map landslides risk, identify houses in the landslide risk zone, and provide recommendations for settlement arrangements. The research begins with observation, interviews, and focus group discussion. Disaster risk mapping and analysis were carried out through weighting method based on Perka BNPB No.2 of 2012 concerning General Guidelines for Disaster Risk Assessment and a formula with parameters of hazard, vulnerability, and capacity. Results showed the medium to a high-level of landslide risk was dominated by northern and eastern parts of Girirejo (21 families in red-zone, 23 families in yellow-zone), while western and southern regions had a low landslide risk level. This research also provided a formulation of settlements concept for medium and high-risk areas by considering landslides risk analysis study.</em>


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