Alaa El Din Mahmoud – författare

Artificial intelligence and the use of computational methods to extract information from data are providing adequate tools to monitor and predict water pollutants and water quality issues faster and more accurately. Smart sensors and machine learning models help detect and monitor dispersion and leakage of pollutants before they reach groundwater. With contributions from experts in academia and industries, who give a unified treatment of AI methods and their applications in water science, this book help governments, industries, and homeowners not only address water pollution problems more quickly and efficiently, but also gain better insight into the implementation of more effective remedial measures.

FEATURES

Provides cutting-edge AI applications in water sector. Highlights the environmental models used by experts in different countries. Discusses various types of models using AI and its tools for achieving sustainable development in water and groundwater. Includes case studies and recent research directions for environmental issues in water sector. Addresses future aspects and innovation in AI field related to watersustainability.

This book will appeal to scientists, researchers, and undergraduate and graduate students majoring in environmental or computer science and industry professionals in water science and engineering, environmental management, and governmental sectors. It showcases artificial intelligence applications in detecting environmental issues, with an emphasis on the mitigation and conservation of water and underground resources.

Artificial intelligence and the use of computational methods to extract information from data are providing adequate tools to monitor and predict water pollutants and water quality issues faster and more accurately. Smart sensors and machine learning models help detect and monitor dispersion and leakage of pollutants before they reach groundwater. With contributions from experts in academia and industries, who give a unified treatment of AI methods and their applications in water science, this book help governments, industries, and homeowners not only address water pollution problems more quickly and efficiently, but also gain better insight into the implementation of more effective remedial measures.

FEATURES

Provides cutting-edge AI applications in water sector. Highlights the environmental models used by experts in different countries. Discusses various types of models using AI and its tools for achieving sustainable development in water and groundwater. Includes case studies and recent research directions for environmental issues in water sector. Addresses future aspects and innovation in AI field related to watersustainability.

This book will appeal to scientists, researchers, and undergraduate and graduate students majoring in environmental or computer science and industry professionals in water science and engineering, environmental management, and governmental sectors. It showcases artificial intelligence applications in detecting environmental issues, with an emphasis on the mitigation and conservation of water and underground resources.

Artificial intelligence and the use of computational methods to extract information from data are providing adequate tools to monitor and predict water pollutants and water quality issues faster and more accurately. Smart sensors and machine learning models help detect and monitor dispersion and leakage of pollutants before they reach groundwater. With contributions from experts in academia and industries, who give a unified treatment of AI methods and their applications in water science, this book help governments, industries, and homeowners not only address water pollution problems more quickly and efficiently, but also gain better insight into the implementation of more effective remedial measures.FEATURESProvides cutting-edge AI applications in water sector.Highlights the environmental models used by experts in different countries.Discusses various types of models using AI and its tools for achieving sustainable development in water and groundwater.Includes case studies and recent research directions for environmental issues in water sector.Addresses future aspects and innovation in AI field related to watersustainability.This book will appeal to scientists, researchers, and undergraduate and graduate students majoring in environmental or computer science and industry professionals in water science and engineering, environmental management, and governmental sectors. It showcases artificial intelligence applications in detecting environmental issues, with an emphasis on the mitigation and conservation of water and underground resources.

Artificial intelligence and the use of computational methods to extract information from data are providing adequate tools to monitor and predict water pollutants and water quality issues faster and more accurately. Smart sensors and machine learning models help detect and monitor dispersion and leakage of pollutants before they reach groundwater. With contributions from experts in academia and industries, who give a unified treatment of AI methods and their applications in water science, this book help governments, industries, and homeowners not only address water pollution problems more quickly and efficiently, but also gain better insight into the implementation of more effective remedial measures.FEATURESProvides cutting-edge AI applications in water sector.Highlights the environmental models used by experts in different countries.Discusses various types of models using AI and its tools for achieving sustainable development in water and groundwater.Includes case studies and recent research directions for environmental issues in water sector.Addresses future aspects and innovation in AI field related to watersustainability.This book will appeal to scientists, researchers, and undergraduate and graduate students majoring in environmental or computer science and industry professionals in water science and engineering, environmental management, and governmental sectors. It showcases artificial intelligence applications in detecting environmental issues, with an emphasis on the mitigation and conservation of water and underground resources.

Hydrogen is poised to play a major role in the transition towards a net-zero economy. However, the worldwide implementation of hydrogen energy is restricted by several challenges, including those related to practical, easy, safe, and cost-effective storage and production methodologies. Nanomaterials present a promising solution, playing an integral role in overcoming the limitations of hydrogen production and storage. This book explores these innovations, covering a wide spectrum of applications of nanomaterials for sustainable hydrogen production and storage.Provides an overview of the hydrogen economy and its role in the transition to a net-zero economy.Details various nanomaterials for hydrogen production and storage as well as modeling and optimization of nanomaterials production.Features real-life case studies on innovations in nanomaterials applications for hydrogen storage.Discusses both the current status and future prospects.Aimed at researchers and professionals in chemical, materials, energy, environmental and related engineering disciplines, this work provides readers with an overview of the latest techniques and materials for the development and advancement of hydrogen energy technologies.

Hydrogen is poised to play a major role in the transition towards a net-zero economy. However, the worldwide implementation of hydrogen energy is restricted by several challenges, including those related to practical, easy, safe, and cost-effective storage and production methodologies. Nanomaterials present a promising solution, playing an integral role in overcoming the limitations of hydrogen production and storage. This book explores these innovations, covering a wide spectrum of applications of nanomaterials for sustainable hydrogen production and storage.Provides an overview of the hydrogen economy and its role in the transition to a net-zero economy.Details various nanomaterials for hydrogen production and storage as well as modeling and optimization of nanomaterials production.Features real-life case studies on innovations in nanomaterials applications for hydrogen storage.Discusses both the current status and future prospects.Aimed at researchers and professionals in chemical, materials, energy, environmental and related engineering disciplines, this work provides readers with an overview of the latest techniques and materials for the development and advancement of hydrogen energy technologies.

Hydrogen is poised to play a major role in the transition towards a net-zero economy. However, the worldwide implementation of hydrogen energy is restricted by several challenges, including those related to practical, easy, safe, and cost-effective storage and production methodologies. Nanomaterials present a promising solution, playing an integral role in overcoming the limitations of hydrogen production and storage. This book explores these innovations, covering a wide spectrum of applications of nanomaterials for sustainable hydrogen production and storage.

Provides an overview of the hydrogen economy and its role in the transition to a net-zero economy. Details various nanomaterials for hydrogen production and storage as well as modeling and optimization of nanomaterials production. Features real-life case studies on innovations in nanomaterials applications for hydrogen storage. Discusses both the current status and future prospects.

Aimed at researchers and professionals in chemical, materials, energy, environmental and related engineering disciplines, this work provides readers with an overview of the latest techniques and materials for the development and advancement of hydrogen energy technologies.