Faculty Publications
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Item A Comparative Analysis of Forest Fire Risk Zone Mapping Methods with Expert Knowledge(Springer, 2019) Yathish, H.; Athira, K.V.; Konkathi, K.; Umesh, U.; Shetty, A.Despite repeated occurrences of forest fire, very less scientific studies have been reported in the Indian context especially in Kudremukh region to mitigate and suppress the fire. The objective of this article was to pool the expert knowledge on forest fire triggering factors from officials working in wildlife division in the Western Ghats of India through a questionnaire and to validate the risk zones obtained from three popular fire risk zone mapping methods namely logistic regression, multi-criteria decision analysis, and weighted overlay. Based on the earlier studies and expert knowledge, fire ignition parameters considered are elevation, slope, and aspect, proximity to roads, water bodies and area of human activities, normalized difference vegetation index (NDVI), land surface temperature (LST), and vegetation type. The regression model was based on previous fire occurrences and the other two based on expert’s opinion. The three models were validated and compared using past fire occurrence events. The logistic regression model gave 88.89% of accuracy and that of multi-criteria decision analysis with 74.6% accuracy, and that of weighted overlay method with an accuracy of 68.24% for the specific study area. The logistic regression model is useful in the presence of historical data, whereas expert knowledge is helpful for mapping risk zones using multi-criteria decision analysis and weighted overlay analysis when historical data are scarce or not available for mapping risk zones. The obtained risk maps can be used for deciding watchtower locations, installation of sensors, cameras, etc. In every forest division, it is recommended to prepare a standard questionnaire form and document their experiences on forest fire in the region under their supervision before they are getting transferred to another location. © 2019, Indian Society of Remote Sensing.Item Applications of geospatial analysis and analytical hierarchy process to identify the groundwater recharge potential zones and suitable recharge structures in the Ajani-Jhiri watershed of north Maharashtra, India(Elsevier B.V., 2022) Sahu, U.; Wagh, V.; Mukate, S.; Kadam, A.; Patil, S.The present study undertakes the integration of hydrogeological, geospatial and multi-criteria decision analysis (MCDA) techniques to identify groundwater recharge potential zones and suitable recharge structures in parts of the Ajani-Jhiri watershed of the Tapi river basin, north Maharashtra, India. Hydrogeological thematic layers include drainage density, lineament density, geology, geomorphology, land use/landcover, soil and slope, which are the demarcating factors in identification of potential recharge sites of the watershed. An analytical hierarchy process model based on MCDA methodologies was adapted to determine the overall weightage distribution for individual layers for weighted overlay to be executed in GIS environment. Groundwater recharges potential zones are divided into high, moderate, and low classes. Results showed that only 272.72 km2 (38.02%) area has high recharge potential, while 316.94 km2 (44.07%) has moderate groundwater recharge potential. The low groundwater potential recharge zone (129.35 km2; 17.98%) is located in the southern part of the watershed, which is mountainous terrain. Locations of new recharge structures, including six stream bunds, five check dams and two percolation tanks are recommended to meet the regional domestic and agricultural needs. The water bodies in the region are partially silted with loose materials, hence three desiltation tanks proposed. © 2022 Elsevier B.V.