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S Mohan
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S Mohan
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S Mohan
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Mohan, s.
Mohan, Sankaralingam
Mohan, S.
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4 results
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- PublicationGroundwater and conjunctive use management(12-06-2021)
; Kuipally, NeenuThe chapter comprehensively discusses the management of groundwater including artificial recharge and the importance of conjunctive use of surface water and groundwater in satisfying demand for water. It reviews different levels of groundwater management, transboundary groundwater management, artificial recharge and its advantages and disadvantages among others. Planning and management of conjunctive use, its advantages and models available for that are also presented. - PublicationFuzzy logic model for multi-reservoir operation(01-01-2006)
; Prasad, AnjaneyaReservoirs are built usually to serve multiple purposes, viz. irrigation, municipal and industrial water supply, hydro-power and flood control. Because of high variability of annual rainfall and conflicting demands on scarce water resources, the study and operation of reservoir systems has assumed great significance to meet the short and long-term requirements. The reservoir managers do not find previous techniques of complex optimization models are difficult to adopt practically. New methods have to be developed, which are simple to understand and can be effectively adopted for the existing systems. Artificial intelligent tools like Genetic programming, Neural Networks and fuzzy logic methods are increasingly becoming popular in Water resources applications. The fuzzy-rule-based systems are very much suitable for inferring developed operating policies. In the present work a rule-based Fuzzy model is attempted for long-term operation a multi-reservoir system. The model was developed on monthly basis for operation and the model was demonstrated with a case of two serial reservoirs on River Godavari sub-system located in South India. The uniqueness of the present paper is that the model was developed based on the historical operation so that the model may be acceptable to reservoir managers, since the departmental expertise was the basis for the model development. The performance of the model was tested with both calibrated and validation periods. The performance of model during two crop seasons of year was reported. - PublicationWaste load allocation modeling based on a new equity measure(01-01-2010)
; Kumar, K. PavanIn this paper, a novel approach to measure equity among the polluters through a waste load allocation model is presented. The concept behind arriving at the proposed new equity measure is that a polluter may be penalized according to the amount of DO deficit that the polluter's waste load causes in a river within the reach, before other polluter's load joins. The waste load allocation model is developed as a multiobjective model with two objectives of treatment cost minimization and equity maximization. The developed model was applied to Thambraparni river in Tamil Nadu, India. Since the flow in the river varies from month to month, the monthly tradeoff curves between treatment levels versus equity have been presented. - PublicationSpatial and Temporal Variation of Water Quality Index(01-01-2022)
; Vineeth, ManthapuriIn ancient countries like India, every development is pioneered around the water bodies. India homes for a few hundreds of lakes which accounts for both natural and artificial lakes that are considered an important part of the ecological as well as religious cycle. Over the past century, there is a prodigious increase in human settlements, anthropogenic pressure and public effluent sources around the lakefront resulting in the degradation of the lake in both aspects of quality and quantity. Practicing appropriate remediation techniques can improve a lake’s water quality, so there is a definite need for continuous monitoring of a lake (Yadav et al., 2014). The arduous and tedious task of assessing the lake water quality based upon individual parameters (Hou et al., 2016) is evaded by practicing different approaches like statistical approaches, water quality indices, etc (Guo et al., 2018.). Over the past two decades, WQI is on a positive gradient of importance in assessing the surface water quality of the lake and river bodies (Kachroud et al., 2019). The main objective of WQI is to provide a score of water quality by aggregating different physical, chemical and biological parameters. The history of WQI dates back to 1965 as studied by Horton et al. (1965). Since then there has been the development of various new indexes by using some computational methods like fuzzy techniques, neural networks techniques, Prime-component analysis, etc. The sequential framework for the development of a WQI is shown in Fig. 5.1.