R. Srinivas
Birla Institute of Technology and Science
29 Papers
52 Citations
R. Srinivas is an academic researcher from Birla Institute of Technology and Science. The author has contributed to research in topics: Environmental science & Computer science. The author has an hindex of 8, co-authored 17 publications. Previous affiliations of R. Srinivas include University of Minnesota.
Chat about Author
Papers
An evidence based integrated watershed modelling system to assess the impact of non-point source pollution in the riverine ecosystem
TL;DR: In this paper, the authors developed a Geographical Information System based mechanism to model non-point source pollution using multivariate regression analysis and demonstrated that agricultural runoff is the primary cause of increasing concentration of nitrogen and phosphorus compounds in the river.
82
Groundwater Quality Assessment in Some Selected Area of Rajasthan, India Using Fuzzy Multi-criteria Decision Making Tool
TL;DR: In this paper, fuzzy inference tool has been used to develop a model for assessing groundwater quality in Dungargarh block of Bikaner district in Rajasthan Eleven water quality parameters have been considered as important indicators to evaluate water quality status in 15 groundwater wells located in the region.
56
Sustainable management of a river basin by integrating an improved fuzzy based hybridized SWOT model and geo-statistical weighted thematic overlay analysis
TL;DR: The FH-SWOT model developed herein simultaneously delineates strategic alternatives and corresponding priority zones, while addressing the uncertainties related to stakeholder’s conflicts and imprecise data to reach optimal, pessimistic and nominal viewpoints, leads to development of an innovative and comprehensive decision-support framework for assessing sustainability.
52
A Scenario Based Impact Assessment of Trace Metals on Ecosystem of River Ganges Using Multivariate Analysis Coupled with Fuzzy Decision-Making Approach
TL;DR: In this paper, the authors developed a novel approach of expressing sustainability of river's ecosystem based on health of the fish by coupling fuzzy sensitivity analysis into multivariate analysis, which can simultaneously identify critical trace metals and their industrial sources, critical sampling stations, and adversely affected fish species along with their interrelationships.
37
Impact assessment of industrial wastewater discharge in a river basin using interval-valued fuzzy group decision-making and spatial approach
R. Srinivas,Ajit Pratap Singh +1 more
TL;DR: In this article, a case study of assessing the impact of industrial wastewaters on the Ganges River basin, India, has also been presented to demonstrate the effectiveness of the proposed methodology.
36