Abstract
This paper narrates experimental setup for finding the most suitable area for artificial water recharge sites using a fusion of GIS, RS AHP, and GA technologies. To do so, GIS was implemented using six geo-data layers. Experimentations regarding potential suitability of the sites were done using RS technology. Based on this, the proposed model gave suitability map as output. For ranking and weighting the criteria AHP and GA were used. The results of the study were appealing and efficiently found out the most suitable areas in the Kalamnuri taluka of Maharashtra, India. The study could be a role model for groundwater management crisis in other areas in India.
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Husen, S., Khamitkar, S., Bhalchandra, P., Tamsekar, P., Kulkarni, G., Hambarde, K. (2020). Prediction of Artificial Water Recharge Sites Using Fusion of RS, GIS, AHP and GA Technologies. In: Borah, S., Emilia Balas, V., Polkowski, Z. (eds) Advances in Data Science and Management. Lecture Notes on Data Engineering and Communications Technologies, vol 37. Springer, Singapore. https://doi.org/10.1007/978-981-15-0978-0_38
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DOI: https://doi.org/10.1007/978-981-15-0978-0_38
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