Sarkar rupak (5 risultati)

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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 156 pages. 8.66x5.91x0.36 inches. In Stock.

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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Groundwater is being exploited indiscriminately to meet our ever increasing demand of water in different parts of the world. In India, the Gangetic plane is amongst the most fertile land of the country. Over the past couple of decades, intensive growth in agriculture, industries, and human population have increased the water demand substantially. As a result severe problems of groundwater table declination have taken place causing threat to future availability of water. Keeping these in view, a study was undertaken in the Ramganga-Bahgul interbasin of Uttar Pradesh, India, to investigate the groundwater behaviour, analyse the causes behind water table declination, and estimate the stages of groundwater development. The collected field data were used to develop groundwater models using multiple regression and artificial neural network (ANN) approaches for the prediction of seasonal water table depths below ground level in the study area. The performance of both multiple regression and ANN models were compared and evaluated. 156 pp. Englisch.…

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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sarkar RupakDr. Rupak Sarkar (Ph.D. in Civil Engineering from Indian Institute of Technology Guwahati, India) is presently working as Assistant Professor at Faculty of Technology, Uttar Banga Krishi Viswavidyalaya, India. Dr. Sarkar .…

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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 61,25 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Groundwater is being exploited indiscriminately to meet our ever increasing demand of water in different parts of the world. In India, the Gangetic plane is amongst the most fertile land of the country. Over the past couple of decades, intensive growth in agriculture, industries, and human population have increased the water demand substantially. As a result severe problems of groundwater table declination have taken place causing threat to future availability of water. Keeping these in view, a study was undertaken in the Ramganga-Bahgul interbasin of Uttar Pradesh, India, to investigate the groundwater behaviour, analyse the causes behind water table declination, and estimate the stages of groundwater development. The collected field data were used to develop groundwater models using multiple regression and artificial neural network (ANN) approaches for the prediction of seasonal water table depths below ground level in the study area. The performance of both multiple regression and ANN models were compared and evaluated. …

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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 236,00
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Groundwater is being exploited indiscriminately to meet our ever increasing demand of water in different parts of the world. In India, the Gangetic plane is amongst the most fertile land of the country. Over the past couple of decades, intensive growth in agriculture, industries, and human population have increased the water demand substantially. As a result severe problems of groundwater table declination have taken place causing threat to future availability of water. Keeping these in view, a study was undertaken in the Ramganga-Bahgul interbasin of Uttar Pradesh, India, to investigate the groundwater behaviour, analyse the causes behind water table declination, and estimate the stages of groundwater development. The collected field data were used to develop groundwater models using multiple regression and artificial neural network (ANN) approaches for the prediction of seasonal water table depths below ground level in the study area. The performance of both multiple regression and ANN models were compared and evaluated.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 156 pp. Englisch. …