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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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樓主: DART
21#
發(fā)表于 2025-3-25 06:26:58 | 只看該作者
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
22#
發(fā)表于 2025-3-25 08:39:55 | 只看該作者
23#
發(fā)表于 2025-3-25 12:09:30 | 只看該作者
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
24#
發(fā)表于 2025-3-25 17:00:10 | 只看該作者
Optimal Trade-Off Between the Energy—Economy of a Hydropower Plant for Better Management of the Reneation techniques; Firefly Algorithm and Differential Evolution. As utilization efficiency, as well as financial liability of the power plant, depends on multiple parameters, decision-making techniques are utilized to produce an index representing the utilization and financial requirement of the powe
25#
發(fā)表于 2025-3-25 22:20:25 | 只看該作者
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
26#
發(fā)表于 2025-3-26 01:21:27 | 只看該作者
27#
發(fā)表于 2025-3-26 06:03:03 | 只看該作者
28#
發(fā)表于 2025-3-26 12:29:18 | 只看該作者
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
29#
發(fā)表于 2025-3-26 13:06:41 | 只看該作者
30#
發(fā)表于 2025-3-26 16:50:26 | 只看該作者
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