Abstract: This paper proposes an effective method for susceptibility estimation of shallow landslides integrating the geographical information system based landslide susceptibility estimation model and a data driven paradigm. The study incorporates geotechnical properties of soil in modeling exercise along with the traditional geospatial landslide causative factors such as landuse and slope angle. The entire database is applied in SINMAP (stability index mapping) platform in the GIS environment to compute the susceptibility indices of the concerned study area in a multi-calibration mode. Then the geotechnical properties are extracted using kriging interpolation to use them as predictor variables to develop a regression model using support vector machine (SVM) and the prepared model is validated statistically. The methodology is demonstrated by applying it in Aruvikkal basin in Kerala state in India and the model is suitable for landslide susceptibility prediction problems in Western Ghats.

• Publication Date: 26-Oct-2014
• DOI: 10.15224/978-1-63248-030-9-15
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Abstract: This paper focuses on the real time monitoring of dust level at different sources of a mechanised coal mine using DustTrak II and finally prediction of dust concentration at different locations of the mine and nearby areas using AERMOD view software. The paper summarizes the findings of dust measurement at different work places in different size range PM10, 4 micron, 2.5 micron and , 1 micron and using meteorological data and AERMOD software dust concentration around the mine were predicted. The predicted value of dust concentrations (PM10) were compared with NAAQS-2009 standard.

• Publication Date: 26-Oct-2014
• DOI: 10.15224/978-1-63248-030-9-16
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