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Analyzing landslide susceptibility, health vulnerability and risk using multi criteria decision-making analysis in Arunachal Pradesh, India

Rehman Sufa, Azhoni Adani

Acta Geophysica

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2023

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Vol. 71, no. 1

101--128

EN

Landslides being a widespread disaster are associated with susceptibility, vulnerability and risk. The physical factors inducing landslides are relatively well-known. However, how landslide susceptibility will be exacerbated by climate change, impede the attainment of the sustainable development goals and increase health vulnerability is relatively less explored. We present an integrated assessment of landslide susceptibility, health vulnerability and overall risk to understand these interconnected dimensions using Arunachal Pradesh, India, as a case study, which is susceptible to landslides due to its topography and climate conditions. Landslide susceptibility was examined using twenty landslide conditioning parameters through the fuzzy analytical hierarchy process (FAHP). The susceptibility map was validated using the area under the ROC curve (AUC). National Family Health Survey (NFHS 4) data were used to analyze the health vulnerability, while the overall risk was computed through the integration of susceptibility and vulnerability. Landslide susceptibility analysis indicated that nearly 22% area of the state is characterized by moderate susceptibility followed by high (17%) and very high susceptibility (13%). High elevation, slope, rainfall, SPI, drainage density and complex geology were identified as the causative factors of landslides. In the case of health vulnerability, East Kameng and Lohit districts were found to be very highly vulnerable, while Papum Pare, Changlang and Tirap districts experience high health vulnerability due to high degree of exposure and sensitivity. Overall risk analysis revealed over 16.8% area of the state is under moderate risk followed by high (9.8%) and very high (4.2%) risk. Linking this analysis with the climate change projections and SDG goals attainment revealed that Papum Pare, Upper Subansiri, Tirap and West Kameng require priority for lessening susceptibility, vulnerability and risk for achieving sustainable development. A strong correlation (99%) between HVI and risk further demonstrates the need for lessening health vulnerability and risk in the study area. Furthermore, our study contributes additional insights into landslide susceptibility by considering heal vulnerability and risk which may help in planning sustainable development strategies in a changing climate.

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Podatność osuwiskowa Polski

Wojciechowski Tomasz

Przegląd Geologiczny

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2019

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Vol. 67, nr 5

320--325

EN

Using the location data of landslides and information on geo-environmental conditions, the landslide susceptibility in Poland was calculated using statistical methods. It shows that 15% of the country’s area is susceptible to landslides. The greatest threats occur in the Carpathians and in many regions of the Sudetes, uplands and in the riverbanks. The most vulnerable areas are the slopes in the range of 9-30°, which are built by the flysch sediments in the faulted zones. The areas susceptible to landslides include over a million buildings and about 7,000 km of roads.

3

Modelowanie podatności osuwiskowej z zastosowaniem metody indeksowej i wysokorozdzielczych danych z lotniczego skaningu laserowego (LIDAR) na obszarze Gdańska

Małka A.

Przegląd Geologiczny

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2015

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Vol. 63, nr 5

301--311

EN

The paper presents a statistical approach to landslide susceptibility modelling using the GIS-based spatial data analysis. The area of investigation is an urban district in which the activation of mass movements is of interest to both the local population and the authorities. The analyzes were carried out on the basis of the “Map of landslides and risk areas for the city of Gdansk” drawn in 2011. The research took into account the geological, geomorphological, hydrological, hydrogeological and anthropogenic conditions. Eleven landslide influencing factors were considered in the analyses. The landslide susceptibility map was evaluated by the landslides index method. The obtained results show that the most susceptible to landslides are slopes of angle between 10–29° and areas located at a distance of 50 m from watercourses and reservoirs. The presence of silty sands, silts and clays along a lithological layer and the N, NWand NE aspect of a slope are also of great significance. The final map presents the areas with the greatest probability of mass movement occurrence.