S
Subbarayan Saravanan
Researcher at National Institute of Technology, Tiruchirappalli
Publications - 60
Citations - 739
Subbarayan Saravanan is an academic researcher from National Institute of Technology, Tiruchirappalli. The author has contributed to research in topics: Environmental science & Groundwater recharge. The author has an hindex of 9, co-authored 45 publications receiving 246 citations. Previous affiliations of Subbarayan Saravanan include Indian Institute of Technology Roorkee.
Papers
More filters
Journal ArticleDOI
Groundwater potential zone mapping using analytical hierarchy process (AHP) and GIS for Kancheepuram District, Tamilnadu, India
TL;DR: In this paper, the authors proposed a method to identify and delineate the groundwater potential zone (GWP) which can be used to augment the groundwater source, where the parameters such as topography, geology, drainage density, geomorphology, soil, land use and land cover rainfall are generated as different layers in the GIS background and are subjected to weighted overlay analysis to obtain the potential zones of groundwater.
Journal ArticleDOI
GIS-based multi-criteria analysis for identification of potential groundwater recharge zones - a case study from Ponnaniyaru watershed, Tamil Nadu, India
Devanantham Abijith,Subbarayan Saravanan,Leelambar Singh,Jesudasan Jacinth Jennifer,Thiyagarajan Saranya,K.S.S. Parthasarathy +5 more
TL;DR: In this paper, the authors adopted the Analytical Hierarchy Process (AHP) and Multi influence factor (MIF), multi-criteria decision-making approaches to determine the weights for the influencing factors.
Journal ArticleDOI
Genetic programming based monthly groundwater level forecast models with uncertainty quantification
K. S. Kasiviswanathan,K. S. Kasiviswanathan,Subbarayan Saravanan,M. Balamurugan,K. Saravanan +4 more
TL;DR: In this article, a genetic programming (GP) based model has been employed for forecasting groundwater level variation along with prediction uncertainty quantification, which has been demonstrated using measured monthly values of rainfall and corresponding groundwater level data of Amarawathi basin.
Journal ArticleDOI
Assessment of land use and land cover change detection and prediction using remote sensing and CA Markov in the northern coastal districts of Tamil Nadu, India
TL;DR: In this article, a study on land use and land cover (LULC) changes assists in analyzing the change and regulates environment sustainability, which can provide suggestions and a basis for urban development planning as it is highly susceptible to coastal flooding.
Journal ArticleDOI
Artificial neural network and sensitivity analysis in the landslide susceptibility mapping of Idukki district, India
TL;DR: In this paper, the authors developed an efficient and accurate ANN model to integrate Idukki district during the 2018 Kerala landslides due to incessant torrential rainfall in the state of Kerala.