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Idioma: Inglés
Publicado por Springer International Publishing AG, Cham, 2025
ISBN 10: 3031765311 ISBN 13: 9783031765315
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Añadir al carritoHardcover. Condición: new. Hardcover. This book encompasses updated information as well as future directions for researchers working in the fields of environmental science, water resource engineering, and agricultural science. Navigating the Nexus: Hydrology, Agriculture, Pollution, and Climate Change focuses on the thematic areas of water resource, agriculture, and environmental domains. This book covers advances in modelling approaches, including Machine Learning (ML)/Artificial Intelligence (AI) applications; GIS and remote sensing; and sensors; to provide hydrological, agricultural, and environmental solutions during the ongoing climate crisis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Añadir al carritoTaschenbuch. Condición: Neu. Soil-Water, Agriculture, and Climate Change | Exploring Linkages | Swatantra Kumar Dubey (u. a.) | Taschenbuch | xi | Englisch | 2023 | Springer | EAN 9783031120619 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Publicado por Springer International Publishing, 2023
ISBN 10: 3031120612 ISBN 13: 9783031120619
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 149,79
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents an exploration of linkages among soil-water, agriculture, and climate change with a special focus on thematic areas for assessment, mitigation, and management of natural resources under climate change conditions. This book covers advances in modelling approaches, including machine learning (ML)/ artificial intelligence (AI) applications; GIS and remote sensing; sensors; impacts of climate change on agriculture; subsurface water; contaminants; and socio-economic impacts, which are lacking in a more comprehensive manner in the previous titles. This book encompasses updated information as well as future directions for researchers working in the field of management of natural resources. The goal of this book is to provide scientific evidence to researchers and policymakers and end-to-end value chain practitioners which may help in reducing the overall adverse impacts of climate change on water resources and the related mitigation strategies. This book focuses on the knowledge, modern tools, and techniques, i.e., machine learning, artificial intelligence, etc. for soil-water, agriculture, and climate change. Further, nature-based solutions for management of natural resources with special targets on contaminants, extreme events, disturbances, etc. will be targeted. The book provides readers with the enhanced knowledge for application of engineering principles and economic and regulatory constraints to determine a soil-water, agriculture production action strategy, and select appropriate technologies to implement the strategy for a given data set at a site. It would also cover the application of laboratory, modeling, numerical methods for determination and forecasting of climate change impacts, agriculture production, pollution, soil health, etc. Overall, it provides hydrologists, environmental engineers, administrators, policy makers, consultants, and industrial experts with essential support in effective management of soils health, agricultural productions, and mitigation of extreme climatic events.
Idioma: Inglés
Publicado por Springer International Publishing, 2022
ISBN 10: 3031120582 ISBN 13: 9783031120589
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 149,79
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents an exploration of linkages among soil-water, agriculture, and climate change with a special focus on thematic areas for assessment, mitigation, and management of natural resources under climate change conditions. This book covers advances in modelling approaches, including machine learning (ML)/ artificial intelligence (AI) applications; GIS and remote sensing; sensors; impacts of climate change on agriculture; subsurface water; contaminants; and socio-economic impacts, which are lacking in a more comprehensive manner in the previous titles. This book encompasses updated information as well as future directions for researchers working in the field of management of natural resources. The goal of this book is to provide scientific evidence to researchers and policymakers and end-to-end value chain practitioners which may help in reducing the overall adverse impacts of climate change on water resources and the related mitigation strategies. This book focuses on the knowledge, modern tools, and techniques, i.e., machine learning, artificial intelligence, etc. for soil-water, agriculture, and climate change. Further, nature-based solutions for management of natural resources with special targets on contaminants, extreme events, disturbances, etc. will be targeted. The book provides readers with the enhanced knowledge for application of engineering principles and economic and regulatory constraints to determine a soil-water, agriculture production action strategy, and select appropriate technologies to implement the strategy for a given data set at a site. It would also cover the application of laboratory, modeling, numerical methods for determination and forecasting of climate change impacts, agriculture production, pollution, soil health, etc. Overall, it provides hydrologists, environmental engineers, administrators, policy makers, consultants, and industrial experts with essential support in effective management of soils health, agricultural productions, and mitigation of extreme climatic events.
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Añadir al carritoCondición: Hervorragend. Zustand: Hervorragend | Seiten: 388 | Sprache: Englisch | Produktart: Bücher | This book presents an exploration of linkages among soil-water, agriculture, and climate change with a special focus on thematic areas for assessment, mitigation, and management of natural resources under climate change conditions. This book covers advances in modelling approaches, including machine learning (ML)/ artificial intelligence (AI) applications; GIS and remote sensing; sensors; impacts of climate change on agriculture; subsurface water; contaminants; and socio-economic impacts, which are lacking in a more comprehensive manner in the previous titles. This book encompasses updated information as well as future directions for researchers working in the field of management of natural resources. The goal of this book is to provide scientific evidence to researchers and policymakers and end-to-end value chain practitioners which may help in reducing the overall adverse impacts of climate change on water resources and the related mitigation strategies. This book focuses on the knowledge, modern tools, and techniques, i.e., machine learning, artificial intelligence, etc. for soil-water, agriculture, and climate change. Further, nature-based solutions for management of natural resources with special targets on contaminants, extreme events, disturbances, etc. will be targeted. The book provides readers with the enhanced knowledge for application of engineering principles and economic and regulatory constraints to determine a soil-water, agriculture production action strategy, and select appropriate technologies to implement the strategy for a given data set at a site. It would also cover the application of laboratory, modeling, numerical methods for determination and forecasting of climate change impacts, agriculture production, pollution, soil health, etc. Overall, it provides hydrologists, environmental engineers, administrators, policy makers, consultants, and industrial experts with essential support in effective management of soils health, agricultural productions, and mitigation of extreme climatic events.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 387 pages. 9.25x6.10x0.80 inches. In Stock.
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Añadir al carritoHardcover. Condición: Brand New. 387 pages. 9.25x6.10x9.21 inches. In Stock.
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book encompasses updated information as well as future directions for researchers working in the fields of environmental science, water resource engineering, and agricultural science.Navigating the Nexus: Hydrology,Agriculture, Pollution, and Climate Changefocuses on the thematic areas of water resource, agriculture, and environmental domains. This book covers advances in modelling approaches, including Machine Learning (ML)/Artificial Intelligence (AI) applications; GIS and remote sensing; and sensors; to provide hydrological, agricultural, and environmental solutions during the ongoing climate crisis.
Idioma: Inglés
Publicado por Springer International Publishing AG, Cham, 2025
ISBN 10: 3031765311 ISBN 13: 9783031765315
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 261,29
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Añadir al carritoHardcover. Condición: new. Hardcover. This book encompasses updated information as well as future directions for researchers working in the fields of environmental science, water resource engineering, and agricultural science. Navigating the Nexus: Hydrology, Agriculture, Pollution, and Climate Change focuses on the thematic areas of water resource, agriculture, and environmental domains. This book covers advances in modelling approaches, including Machine Learning (ML)/Artificial Intelligence (AI) applications; GIS and remote sensing; and sensors; to provide hydrological, agricultural, and environmental solutions during the ongoing climate crisis. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Idioma: Inglés
Publicado por Springer International Publishing Nov 2023, 2023
ISBN 10: 3031120612 ISBN 13: 9783031120619
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 149,79
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents an exploration of linkages among soil-water, agriculture, and climate change with a special focus on thematic areas for assessment, mitigation, and management of natural resources under climate change conditions. This book covers advances in modelling approaches, including machine learning (ML)/ artificial intelligence (AI) applications; GIS and remote sensing; sensors; impacts of climate change on agriculture; subsurface water; contaminants; and socio-economic impacts, which are lacking in a more comprehensive manner in the previous titles. This book encompasses updated information as well as future directions for researchers working in the field of management of natural resources. The goal of this book is to provide scientific evidence to researchers and policymakers and end-to-end value chain practitioners which may help in reducing the overall adverse impacts of climate change on water resources and the related mitigation strategies. This book focuses on the knowledge, modern tools, and techniques, i.e., machine learning, artificial intelligence, etc. for soil-water, agriculture, and climate change. Further, nature-based solutions for management of natural resources with special targets on contaminants, extreme events, disturbances, etc. will be targeted. The book provides readers with the enhanced knowledge for application of engineering principles and economic and regulatory constraints to determine a soil-water, agriculture production action strategy, and select appropriate technologies to implement the strategy for a given data set at a site. It would also cover the application of laboratory, modeling, numerical methods for determination and forecasting of climate change impacts, agriculture production, pollution, soil health, etc. Overall, it provides hydrologists, environmental engineers, administrators, policy makers, consultants, and industrial experts with essential support in effective management of soils health, agricultural productions, and mitigation of extreme climatic events. 388 pp. Englisch.
Idioma: Inglés
Publicado por Springer International Publishing Nov 2022, 2022
ISBN 10: 3031120582 ISBN 13: 9783031120589
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 149,79
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents an exploration of linkages among soil-water, agriculture, and climate change with a special focus on thematic areas for assessment, mitigation, and management of natural resources under climate change conditions. This book covers advances in modelling approaches, including machine learning (ML)/ artificial intelligence (AI) applications; GIS and remote sensing; sensors; impacts of climate change on agriculture; subsurface water; contaminants; and socio-economic impacts, which are lacking in a more comprehensive manner in the previous titles. This book encompasses updated information as well as future directions for researchers working in the field of management of natural resources. The goal of this book is to provide scientific evidence to researchers and policymakers and end-to-end value chain practitioners which may help in reducing the overall adverse impacts of climate change on water resources and the related mitigation strategies. This book focuses on the knowledge, modern tools, and techniques, i.e., machine learning, artificial intelligence, etc. for soil-water, agriculture, and climate change. Further, nature-based solutions for management of natural resources with special targets on contaminants, extreme events, disturbances, etc. will be targeted. The book provides readers with the enhanced knowledge for application of engineering principles and economic and regulatory constraints to determine a soil-water, agriculture production action strategy, and select appropriate technologies to implement the strategy for a given data set at a site. It would also cover the application of laboratory, modeling, numerical methods for determination and forecasting of climate change impacts, agriculture production, pollution, soil health, etc. Overall, it provides hydrologists, environmental engineers, administrators, policy makers, consultants, and industrial experts with essential support in effective management of soils health, agricultural productions, and mitigation of extreme climatic events. 388 pp. Englisch.
Idioma: Inglés
Publicado por Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3031120582 ISBN 13: 9783031120589
Librería: moluna, Greven, Alemania
EUR 127,40
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents an exploration of linkages among soil-water, agriculture, and climate change with a special focus on thematic areas for assessment, mitigation, and management of natural resources under climate change conditions. This book covers advances.
Idioma: Inglés
Publicado por Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 3031120612 ISBN 13: 9783031120619
Librería: moluna, Greven, Alemania
EUR 127,40
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents an exploration of linkages among soil-water, agriculture, and climate change with a special focus on thematic areas for assessment, mitigation, and management of natural resources under climate change conditions. This book covers advances.
Librería: moluna, Greven, Alemania
EUR 144,94
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
Idioma: Inglés
Publicado por Springer, Palgrave Macmillan Feb 2025, 2025
ISBN 10: 3031765311 ISBN 13: 9783031765315
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 171,19
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book encompasses updated information as well as future directions for researchers working in the fields of environmental science, water resource engineering, and agricultural science.Navigating the Nexus: Hydrology,Agriculture, Pollution, and Climate Changefocuses on the thematic areas of water resource, agriculture, and environmental domains. This book covers advances in modelling approaches, including Machine Learning (ML)/Artificial Intelligence (AI) applications; GIS and remote sensing; and sensors; to provide hydrological, agricultural, and environmental solutions during the ongoing climate crisis. 548 pp. Englisch.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 206,35
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Idioma: Inglés
Publicado por Springer, Springer Nature Switzerland Nov 2023, 2023
ISBN 10: 3031120612 ISBN 13: 9783031120619
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 149,79
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Understanding Hydrology of Indian Himalayan landscapes- A Review.- Development of a semi-distributed rainfall-runoff model for water budgeting in macropore dominated hilly river basins.- Hydrological Simulation Using Coupled ANN-SCS Approach in Pagladiya Watershed: A Sub-catchment of Brahmaputra River Basin.- Water erosion risks mapping using RUSLE model in the Mohamed Ben Abdelkrim El Khattabi Dam watershed (Central Coastal Rif, Morocco).Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 388 pp. Englisch.
Idioma: Inglés
Publicado por Springer, Springer International Publishing Nov 2022, 2022
ISBN 10: 3031120582 ISBN 13: 9783031120589
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 149,79
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Understanding Hydrology of Indian Himalayan landscapes- A Review.- Development of a semi-distributed rainfall-runoff model for water budgeting in macropore dominated hilly river basins.- Hydrological Simulation Using Coupled ANN-SCS Approach in Pagladiya Watershed: A Sub-catchment of Brahmaputra River Basin.- Water erosion risks mapping using RUSLE model in the Mohamed Ben Abdelkrim El Khattabi Dam watershed (Central Coastal Rif, Morocco).Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 388 pp. Englisch.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 206,11
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