M. Boori, K. Choudhary, R. Paringer, A. Kupriyanov
{"title":"RS/GIS Technology for Groundwater Potentiality Assessment Hydrological analysis","authors":"M. Boori, K. Choudhary, R. Paringer, A. Kupriyanov","doi":"10.1109/ICFSP.2018.8552065","DOIUrl":null,"url":null,"abstract":"This research work used remote sensing (RS) and geographical information system (GIS) technology for hydrological analysis to delineates groundwater potentiality assessment for growing population, irrigation and industrial development in Kalmykia, Russia. Various thematic layers wear used along with existing maps and field data to know groundwater potentiality. Weights were assigned to all factors according to their effectiveness, sensitivity and relevance to ground water potentiality. Furthermore the resulting map has been classified into five classes, named very high, high, moderate, low and very low based on hydro-geomorphological condition. The results provide significant information and can be use by local authorities for groundwater exploitation and management.","PeriodicalId":355222,"journal":{"name":"2018 4th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Frontiers of Signal Processing (ICFSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICFSP.2018.8552065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This research work used remote sensing (RS) and geographical information system (GIS) technology for hydrological analysis to delineates groundwater potentiality assessment for growing population, irrigation and industrial development in Kalmykia, Russia. Various thematic layers wear used along with existing maps and field data to know groundwater potentiality. Weights were assigned to all factors according to their effectiveness, sensitivity and relevance to ground water potentiality. Furthermore the resulting map has been classified into five classes, named very high, high, moderate, low and very low based on hydro-geomorphological condition. The results provide significant information and can be use by local authorities for groundwater exploitation and management.