Showing 1 - 6 of 6
A genetic algorithm (GA) and a backward moving stochastic dynamic programming (SDP) model has been developed for derivation of operational policies for a multi-reservoir system in Kodaiyar River Basin, Tamil Nadu, India. The model was developed with the objective of minimizing the annual sum of...
Persistent link: https://www.econbiz.de/10010794285
A comprehensive Genetic Algorithm (GA) model has been developed and applied to derive optimal operational strategies of a multi-purpose reservoir, namely Perunchani Reservoir, in Kodaiyar Basin in Tamil Nadu, India. Most of the water resources problem involves uncertainty, in order to see that...
Persistent link: https://www.econbiz.de/10010794596
Reservoirs are the key infrastructure for the socio-economic development of a country. The reservoirs are proven to be a remedial solution of highly erratic spatial and temporal availability of water. The growth in population and consequent developmental activities within a catchment area has...
Persistent link: https://www.econbiz.de/10010794262
The water sharing dispute in a multi-reservoir river basin forces the water resources planners to have an integrated operation of multi-reservoir system rather than considering them as a single reservoir system. Thus, optimizing the operations of a multi-reservoir system for an integrated...
Persistent link: https://www.econbiz.de/10010794435
Over the past decade, several conventional optimization techniques had been developed for the optimization of complex water resources system. To overcome some of the drawbacks of conventional techniques, soft computing techniques were developed based on the principles of natural evolution. The...
Persistent link: https://www.econbiz.de/10010794651
Land use–land cover (LULC) change in space and time is the main cause behind the changing hydrological processes, ecosystem and environment in urban catchments. In the present study, the main focus was on evaluation of spatial and temporal variation of land use and land cover change in a major...
Persistent link: https://www.econbiz.de/10011151641