Application of Multi Criteria Decision Making Techniques on Landslide Hazard Zonation mapping

Decision making is one of the subfields of Artificial Intelligence and has been used for various applications. One such application is Disaster Mitigation and Management. This study is on Landslide Zonation using different Decision Making Algorithms. Landslides are one of the most epoch-making hazards that affect different parts of India every year, during the rainy season, which cause not only colossal destruction to roads, bridges, and houses but also lead to loss of life. Mapping of the hazardous zones is one method by which awareness can be created among the localities and guiding the authorities in management of the disaster event. There are lots of literature discussing various methods to map landslide hazardous zones, from those studies, influential factors are identified and two multi criteria decision making algorithms namely TOPSIS and AHP are used to rank the factors, to assign weights to corresponding factors, finally Landslide Susceptibility Map of Saklespur, located in Western Ghats, is created with the help of Geographic Information System Software. As a result, Landslide hazard zonation map is created on considering different weights such as Land use Land cover and Precipitation around 22%, Distance from road and Lineament Density 14%, Drainage Density 5% Slope and Elevation around 5%, Geology around 4% and Aspect around 2%. From the results of the method, it is clear that human efforts in understanding the nature is needed to be increased to save the world.