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Dr. Saranya Thiyagarajan
Dr. Saranya Thiyagarajan
Project Engineer, Larry Walker Associates
Bestätigte E-Mail-Adresse bei lwa.com
Titel
Zitiert von
Zitiert von
Jahr
Groundwater potential zone mapping using analytical hierarchy process (AHP) and GIS for Kancheepuram District, Tamilnadu, India
T Saranya, S Saravanan
Modeling Earth Systems and Environment 6 (2), 1105-1122, 2020
2402020
GIS-based multi-criteria analysis for identification of potential groundwater recharge zones-a case study from Ponnaniyaru watershed, Tamil Nadu, India
D Abijith, S Saravanan, L Singh, JJ Jennifer, T Saranya, ...
HydroResearch 3, 1-14, 2020
2032020
Delineation of groundwater potential zones for Arkavathi sub-watershed, Karnataka, India using remote sensing and GIS
S Saravanan, T Saranya, D Abijith, JJ Jacinth, L Singh
Environmental Challenges 5, 100380, 2021
472021
Impact of land-use change on soil erosion in the Coonoor Watershed, Nilgiris Mountain Range, Tamil Nadu, India
S Saravanan, JJ Jennifer, L Singh, S Thiyagarajan, S Sankaralingam
Arabian Journal of Geosciences 14 (5), 407, 2021
392021
Delineation of groundwater potential zone using analytical hierarchy process and GIS for Gundihalla watershed, Karnataka, India
S Saravanan, T Saranya, JJ Jennifer, L Singh, A Selvaraj, D Abijith
Arabian Journal of Geosciences 13 (15), 695, 2020
382020
Assessment of groundwater vulnerability using analytical hierarchy process and evidential belief function with DRASTIC parameters, Cuddalore, India
T Saranya, S Saravanan
International Journal of Environmental Science and Technology 20 (2), 1837-1856, 2023
372023
Evolution of a hybrid approach for groundwater vulnerability assessment using hierarchical fuzzy-DRASTIC models in the Cuddalore Region, India
T Saranya, S Saravanan
Environmental Earth Sciences 80 (5), 179, 2021
372021
A comparative analysis on groundwater vulnerability models—fuzzy DRASTIC and fuzzy DRASTIC-L
T Saranya, S Saravanan
Environmental Science and Pollution Research, 1-15, 2021
182021
Enhancing groundwater vulnerability assessment: comparative study of three machine learning models and five classification schemes for Cuddalore district
S Subbarayan, S Thiyagarajan, S Karuppannan, B Panneerselvam
Environmental Research 242, 117769, 2024
162024
Application of frequency ratio, analytical hierarchy process, and multi-influencing factor methods for delineating groundwater potential zones
S Saravanan, T Saranya, D Abijith
International Journal of Environmental Science and Technology 19 (12), 12211 …, 2022
162022
Assessment of groundwater vulnerability in highly industrialized Noyyal basin using AHP-DRASTIC and Geographic Information System
T Saranya, S Saravanan, JJ Jennifer, L Singh
Disaster Resilience and Sustainability, 151-170, 2021
102021
Identification of suitable municipal solid waste dumpsite using GIS and groundwater modeling for Namakkal Municipality
T Saranya, DR Saravanan, VPG Percy, M Kamalanandhini
Int J Civ Eng Technol (IJCIET) 7 (4), 2016
32016
Assessment of groundwater vulnerable zones using conventional and Fuzzy-AHP DRASTIC for Visakhapatnam district, India
S Subbarayan, S Thiyagarajan, S Gangolu, A Devanantham, RN Masthan
Groundwater for Sustainable Development 24, 101054, 2024
22024
GIS Based Groundwater Potential Zone Identification Using AHP for Ponnaniyaru Watershed, Tamil Nadu, India
D Abijith, S Saravanan, JJ Jennifer, L Singh, T Saranya, R Sankriti, ...
Groundwater and Water Quality: Hydraulics, Water Resources and Coastal …, 2022
12022
APPLICATION OF OPTIMIZATION TECHNIQUES AND MACHINE LEARNING ALGORITHMS TO DRASTIC AND DRASTIC-L FOR GROUNDWATER VULNERABILITY ASSESSMENT AND MAPPING
T SARANYA
NATIONAL INSTITUTE OF TECHNOLOGY, 2022
2022
GlS-based multi-criteria analysis for identification of potential groundwater recharge zones–a case study from Ponnaniyaru watershed
T Saranya, K Parthasarathy
HydroResearch 14 (1), 2020
2020
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