Titlebook: Water and Energy Management in India; Artificial Neural Ne Mrinmoy Majumder,Ganesh D. Kale Book 2021 The Editor(s) (if applicable) and The

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Optimal Trade-Off Between the Energy—Economy of a Hydropower Plant for Better Management of the Renetilization and economic liability of hydropower plants respectively. Also for the present trade-off analysis, Differential Evolution is found to be a better optimization technique compared to FireFly Algorithm.

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Indicator Based Impact Analysis of Urbanization with Respect to Evapo-Transpirationuch as vegetation type, air temperature, relative humidity, soil moisture, and movement of the wind have been markedly affected. Many studies have examined the impact of urbanisation on temperature or relative humidity, but few have explored whether or not potential evapotranspiration (PET) is influ

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Trend Analyses in Groundwater Levels of the Bikaner District, Rajasthandespread in several parts of the India. As per Central Groundwater Board (.), groundwater level (GWL) fall of greater than 4?m was found in parts/patches of the Bikaner district, Rajasthan by comparison of depth to water level corresponding to year 2015 (2016 for January) with decennium average over

MILL

Climate Change Impact on Virtual Water Availability: A Categorized Polynomial Neural Network Approacin the atmosphere and the outcome was global warming followed by the change in climatic pattern in different places of the world has reduced per capita availability of water. Due to climate change, water accessibility for manufacturing also gets affected. The volume of water which is also avowed as

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A Review of Multiple Criteria Decision-Making Methods in Reference to Water Resources and Climate Scems. Inputs from these fields are extremely important for effective policy formulations, especially for agro-economy of India. However, characterized by uncertainties originating from different sources and complex governing physics, the outcomes of these fields are required to be applied to a constr

Truculent

Development of ANN Model for Simulation of the Runoff as Affected by Climatic Factors on the Jamuna orts a human’s livelihood through various ways, including agriculture. Complex physiographic nature of watersheds limits the development as well use of physical based models to predict runoff in a river. Jamuna river is a sub-tributary of Brahmaputra river fed through snow and glacier melt. A barrag

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