Groundwater Depletion and Sustainability: A Methodology Utilizing Artificial Intelligence and Earth Observation Systems - Couverture rigide

9783032099204: Groundwater Depletion and Sustainability: A Methodology Utilizing Artificial Intelligence and Earth Observation Systems

Couverture rigide

ISBN 10 : 303209920X ISBN 13 : 9783032099204

Editeur : Springer Nature Switzerland AG, 2026

Afficher les exemplaires de cette �dition comportant l'ISBN

This contributed volume details how Artificial Intelligence (AI) and Earth observation systems can effectively improve the prediction of groundwater quality and support decision-making in arid and semi-arid regions. Earth observation systems, including remote sensing and geographic information systems (GIS), play a crucial role in assessing and monitoring groundwater quality. Remote sensing data, such as satellite imagery, can provide valuable information on land cover, vegetation indices, and water quality parameters. GIS tools enable the spatial analysis and visualization of groundwater quality data.

AI and Earth observation-based methods support effective water resource management by identifying suitable areas for artificial groundwater recharge (AGR) and assessing the impact of pollution on water resources. These techniques help formulate conservation policies and sustainable water management strategies. Various AI techniques, including ANN, SVM, KNN, and decision trees, have been applied to model groundwater quality and predict water quality indices. These models capture complex relationships between hydro chemical parameters and groundwater quality, enabling accurate predictions and informed decision-making.

The application of AI and Earth observation systems in groundwater quality prediction contributes to the sustainability of water resources. Identifying pollution sources, assessing water quality, and guiding decision-making processes support preserving and managing water resources in arid and semi-arid regions.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer Nature Switzerland AG
Date d'�dition: 2026
Langue: anglais
ISBN 10: 303209920X
ISBN 13: 9783032099204
Reliure: Reli�
Nombre de pages: 419
�diteur: Nath Anindita, Biswas Arkoprovo, Koley Bappaditya, Choudhury Tanupriya, Um Jung-Sup
Coordonn�es du fabricant: Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3
Heidelberg
69115
Allemagne

R�sultats de recherche pour Groundwater Depletion and Sustainability: A Methodology...

Image d'archives

Groundwater Depletion and Sustainability (eng)

Nath, Anindita

Edit� par Springer, 2026

ISBN 10 : 303209920X ISBN 13 : 9783032099204

Neuf Couverture rigide

impression � la demande

Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie

�valuation du vendeur 5 sur 5 �toiles

Etat : new. Questo � un articolo print on demand. N� de r�f. du vendeur MLMLK2ZDDX

Contacter le vendeur

Acheter neuf

EUR 150,28

Exp�dition �EUR 5,50
Exp�dition depuis Italie vers Etats-Unis

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image fournie par le vendeur

Groundwater Depletion and Sustainability

Edit� par Springer Verlag GmbH, 2026

ISBN 10 : 303209920X ISBN 13 : 9783032099204

Neuf Couverture rigide

impression � la demande

Vendeur : moluna, Greven, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. N� de r�f. du vendeur 2636420203

Contacter le vendeur

Acheter neuf

EUR 162,51

Exp�dition �EUR 48,99
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image fournie par le vendeur

Groundwater Depletion and Sustainability

Anindita Nath

Edit� par Springer-Verlag Gmbh Jan 2026, 2026

ISBN 10 : 303209920X ISBN 13 : 9783032099204

Neuf Couverture rigide

impression � la demande

Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This contributed volume details how Artificial Intelligence (AI) and Earth observation systems can effectively improve the prediction of groundwater quality and support decision-making in arid and semi-arid regions. Earth observation systems, including remote sensing and geographic information systems (GIS), play a crucial role in assessing and monitoring groundwater quality. Remote sensing data, such as satellite imagery, can provide valuable information on land cover, vegetation indices, and water quality parameters. GIS tools enable the spatial analysis and visualization of groundwater quality data.AI and Earth observation-based methods support effective water resource management by identifying suitable areas for artificial groundwater recharge (AGR) and assessing the impact of pollution on water resources. These techniques help formulate conservation policies and sustainable water management strategies. Various AI techniques, including ANN, SVM, KNN, and decision trees, have been applied to model groundwater quality and predict water quality indices. These models capture complex relationships between hydro chemical parameters and groundwater quality, enabling accurate predictions and informed decision-making.The application of AI and Earth observation systems in groundwater quality prediction contributes to the sustainability of water resources. Identifying pollution sources, assessing water quality, and guiding decision-making processes support preserving and managing water resources in arid and semi-arid regions. 408 pp. Englisch. N� de r�f. du vendeur 9783032099204

Contacter le vendeur

Acheter neuf

EUR 192,59

Exp�dition �EUR 23
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : 2 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Groundwater Depletion and Sustainability

Anindita Nath

Edit� par Springer, Springer International Publishing Jan 2026, 2026

ISBN 10 : 303209920X ISBN 13 : 9783032099204

Neuf Couverture rigide

impression � la demande

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This contributed volume details how Artificial Intelligence (AI) and Earth observation systems can effectively improve the prediction of groundwater quality and support decision-making in arid and semi-arid regions. Earth observation systems, including remote sensing and geographic information systems (GIS), play a crucial role in assessing and monitoring groundwater quality. Remote sensing data, such as satellite imagery, can provide valuable information on land cover, vegetation indices, and water quality parameters. GIS tools enable the spatial analysis and visualization of groundwater quality data.AI and Earth observation-based methods support effective water resource management by identifying suitable areas for artificial groundwater recharge (AGR) and assessing the impact of pollution on water resources. These techniques help formulate conservation policies and sustainable water management strategies. Various AI techniques, including ANN, SVM, KNN, and decision trees, have been applied to model groundwater quality and predict water quality indices. These models capture complex relationships between hydro chemical parameters and groundwater quality, enabling accurate predictions and informed decision-making.The application of AI and Earth observation systems in groundwater quality prediction contributes to the sustainability of water resources. Identifying pollution sources, assessing water quality, and guiding decision-making processes support preserving and managing water resources in arid and semi-arid regions.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 420 pp. Englisch. N� de r�f. du vendeur 9783032099204

Contacter le vendeur

Acheter neuf

EUR 192,59

Exp�dition �EUR 60
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : 1 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Groundwater Depletion and Sustainability : A Methodology Utilizing Artificial Intelligence and Earth Observation Systems

Jung-Sup Um

Edit� par Springer, 2026

ISBN 10 : 303209920X ISBN 13 : 9783032099204

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This contributed volume details how Artificial Intelligence (AI) and Earth observation systems can effectively improve the prediction of groundwater quality and support decision-making in arid and semi-arid regions. Earth observation systems, including remote sensing and geographic information systems (GIS), play a crucial role in assessing and monitoring groundwater quality. Remote sensing data, such as satellite imagery, can provide valuable information on land cover, vegetation indices, and water quality parameters. GIS tools enable the spatial analysis and visualization of groundwater quality data.AI and Earth observation-based methods support effective water resource management by identifying suitable areas for artificial groundwater recharge (AGR) and assessing the impact of pollution on water resources. These techniques help formulate conservation policies and sustainable water management strategies. Various AI techniques, including ANN, SVM, KNN, and decision trees, have been applied to model groundwater quality and predict water quality indices. These models capture complex relationships between hydro chemical parameters and groundwater quality, enabling accurate predictions and informed decision-making.The application of AI and Earth observation systems in groundwater quality prediction contributes to the sustainability of water resources. Identifying pollution sources, assessing water quality, and guiding decision-making processes support preserving and managing water resources in arid and semi-arid regions. N� de r�f. du vendeur 9783032099204

Contacter le vendeur