Advanced methods for water consumption management can help save water and financial resources. This book introduces efficient methods and practical approaches for water consumption management through computational modeling to forecast water demand and optimization and through smart technology to help prevent or reduce water loss using the Geographic Information Systems (GIS) and the Internet of Things (IoT).
The book will be a useful for researchers and graduate students focusing on research initiatives in the field of water resource management, and for researchers and practicing engineers in water utility companies.
"Sinopsis" puede pertenecer a otra edición de este libro.
Ana Cristina Faria Ribeiro is a researcher in the Department of Chemistry at the University of Coimbra, Portugal. Her area of scientific activity is physical chemistry and electrochemistry. Her main areas of research interest are the transport properties of ionic and non-ionic components in aqueous solutions. Dr Ribeiro obtained her PhD and Habilitation from the University of Coimbra, Coimbra, Portugal.
A. K. Haghi is a retired professor and is currently a research associate at the University of Coimbra, Portugal. Professor Haghi holds a BSc in urban and environmental engineering from the University of North Carolina (USA) and holds two MSc degrees, one in mechanical engineering from North Carolina State University (USA) and another one in applied mechanics, acoustics, and materials from the Université de Technologie de Compiègne (France). He was awarded a PhD in engineering sciences at Université de Franche-Comté (France). He has written, co-written, edited, or co-edited more than 1000 publications, including books, book chapters, and papers in refereed journals with over 3800 citations and an h-index of 32, according to Google Scholar database.
Professor Haghi is a frequent speaker to national and international audiences. He is the Founder and former Editor-in-Chief of the International Journal of Chemoinformatics and Chemical Engineering and Polymers Research Journal. Professor Haghi has acted as an editorial board member of many international journals. He has served as a member of the Canadian Research and Development Center of Sciences & Cultures. He has supervised several PhD and MSc theses at the University of Guilan (UG) and co-supervised international doctoral projects. He is a regular reviewer of leading international journals.
Advanced methods for water consumption management can help save water and financial resources. This book introduces efficient methods and practical approaches for water consumption management through computational modeling to forecast water demand and optimization and through smart technology to help prevent or reduce water loss using the Geographic Information Systems (GIS) and the Internet of Things (IoT).
The book will be a useful for researchers and graduate students focusing on research initiatives in the field of water resource management, and for researchers and practicing engineers in water utility companies.
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"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Advanced methods for water consumption management can help save water and financial resources. This book introduces efficient methods and practical approaches for water consumption management through computational modeling to forecast water demand and optimization and through smart technology to help prevent or reduce water loss using the Geographic Information Systems (GIS) and the Internet of Things (IoT). The book will be a useful for researchers and graduate students focusing on research initiatives in the field of water resource management, and for researchers and practicing engineers in water utility companies. 116 pp. Englisch. Nº de ref. del artículo: 9783031608018
Cantidad disponible: 2 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Advanced methods for water consumption management can help save water and financial resources. This book introduces efficient methods and practical approaches for water consumption management through computational modeling to forecast water demand and optimization and through smart technology to help prevent or reduce water loss using the Geographic Information Systems (GIS) and the Internet of Things (IoT). The book will be a useful for researchers and graduate students focusing on research initiatives in the field of water resource management, and for researchers and practicing engineers in water utility companies. Nº de ref. del artículo: 9783031608018
Cantidad disponible: 1 disponibles
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Advanced methods for water consumption management can help save water and financial resources. This book introduces efficient methods and practical approaches for water consumption management through computational modeling to forecast water demand and optimization and through smart technology to help prevent or reduce water loss using the Geographic Information Systems (GIS) and the Internet of Things (IoT). The book will be a useful for researchers and graduate students focusing on research initiatives in the field of water resource management, and for researchers and practicing engineers in water utility companies. 116 pp. Englisch. Nº de ref. del artículo: 9783031608018
Cantidad disponible: 1 disponibles
Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Smart Water Resource Management | A Practical Introduction | Ana Cristina Faria Ribeiro (u. a.) | Taschenbuch | Synthesis Lectures on Emerging Engineering Technologies | xiv | Englisch | 2025 | Springer | EAN 9783031608018 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Nº de ref. del artículo: 135781813
Cantidad disponible: 5 disponibles