Artificial Intelligence And Modeling For Water Sustainability


Artificial Intelligence And Modeling For Water Sustainability
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Artificial Intelligence And Modeling For Water Sustainability


Artificial Intelligence And Modeling For Water Sustainability
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Author : Alaa El Din Mahmoud
language : en
Publisher: CRC Press
Release Date : 2023-04-25

Artificial Intelligence And Modeling For Water Sustainability written by Alaa El Din Mahmoud and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-25 with Technology & Engineering categories.


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.



Watershed Management And Applications Of Ai


Watershed Management And Applications Of Ai
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Author : Sandeep Samantaray
language : en
Publisher: CRC Press
Release Date : 2021-05-16

Watershed Management And Applications Of Ai written by Sandeep Samantaray and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-16 with Technology & Engineering categories.


Land use and water resources are two major environmental issues which necessitate conservation, management, and maintenance practices through the use of various engineering techniques. Water scientists and environmental engineers must address the various aspects of flood control, soil conservation, rainfall-runoff processes, and groundwater hydrology. Watershed Management and Applications of AI provides the necessary principles of hydrology to provide practical strategies useful for the planning, design, and management of watersheds. The book also synthesizes novel new approaches, such as hydrological applications of machine learning using neural networks to predict runoff and using artificial intelligence for the prediction of groundwater fluctuations. Features: Presents hydrologic analysis and design along with soil conservation practices through proper watershed management techniques Provides analysis of land erosion and sediment transport in watersheds from small to large scale Includes estimations for runoff using different methodologies with systematic approaches for each Discusses water harvesting and development of water yield catchments This book will be a valuable resource for students in hydrology courses, environmental consultants, water resource engineers, and researchers in related water science and engineering fields.



Environmental Modelling Software And Decision Support


Environmental Modelling Software And Decision Support
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Author : Anthony J. Jakeman
language : en
Publisher: Elsevier
Release Date : 2008-09-11

Environmental Modelling Software And Decision Support written by Anthony J. Jakeman and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-11 with Science categories.


The complex and multidisciplinary nature of environmental problems requires that they are dealt with in an integrated manner. Modeling and software have become key instruments used to promote sustainability and improve environmental decision processes, especially through systematic integration of various knowledge and data and their ability to foster learning and help make predictions. This book presents the current state-of-the-art in environmental modeling and software and identifies the future challenges in the field. State-of-the-art in environmental modeling and software theory and practice for integrated assessment and management serves as a starting point for researchers Identifies the areas of research and practice required for advancing the requisite knowledge base and tools, and their wider usage Best practices of environmental modeling enables the reader to select appropriate software and gives the reader tools to integrate natural system dynamics with human dimensions



Data Driven Modeling Using Matlab In Water Resources And Environmental Engineering


Data Driven Modeling Using Matlab In Water Resources And Environmental Engineering
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Author : Shahab Araghinejad
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-26

Data Driven Modeling Using Matlab In Water Resources And Environmental Engineering written by Shahab Araghinejad and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-26 with Science categories.


“Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important theories and applications of data-driven models and uses them to deal with a wide range of problems in the field of water resources and environmental engineering such as hydrological forecasting, flood analysis, water quality monitoring, regionalizing climatic data, and general function approximation. The book presents the statistical-based models including basic statistical analysis, nonparametric and logistic regression methods, time series analysis and modeling, and support vector machines. It also deals with the analysis and modeling based on artificial intelligence techniques including static and dynamic neural networks, statistical neural networks, fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques. The source files of relatively simple and advanced programs demonstrating how to use the models are presented together with practical advice on how to best apply them. The programs, which have been developed using the MATLAB® unified platform, can be found on extras.springer.com. The main audience of this book includes graduate students in water resources engineering, environmental engineering, agricultural engineering, and natural resources engineering. This book may be adapted for use as a senior undergraduate and graduate textbook by focusing on selected topics. Alternatively, it may also be used as a valuable resource book for practicing engineers, consulting engineers, scientists and others involved in water resources and environmental engineering.



Artificial Intelligence Systems For Water Treatment Plant Optimization


Artificial Intelligence Systems For Water Treatment Plant Optimization
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Author : Christopher W. Baxter
language : en
Publisher: American Water Works Association
Release Date : 2001

Artificial Intelligence Systems For Water Treatment Plant Optimization written by Christopher W. Baxter and has been published by American Water Works Association this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Artificial intelligence categories.




Water Engineering Modeling And Mathematic Tools


Water Engineering Modeling And Mathematic Tools
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Author : Pijush Samui
language : en
Publisher: Elsevier
Release Date : 2021-02-05

Water Engineering Modeling And Mathematic Tools written by Pijush Samui and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-05 with Technology & Engineering categories.


Water Engineering Modeling and Mathematic Tools provides an informative resource for practitioners who want to learn more about different techniques and models in water engineering and their practical applications and case studies. The book provides modelling theories in an easy-to-read format verified with on-site models for specific regions and scenarios. Users will find this to be a significant contribution to the development of mathematical tools, experimental techniques, and data-driven models that support modern-day water engineering applications. Civil engineers, industrialists, and water management experts should be familiar with advanced techniques that can be used to improve existing systems in water engineering. This book provides key ideas on recently developed machine learning methods and AI modelling. It will serve as a common platform for practitioners who need to become familiar with the latest developments of computational techniques in water engineering. Includes firsthand experience about artificial intelligence models, utilizing case studies Describes biological, physical and chemical techniques for the treatment of surface water, groundwater, sea water and rain/snow Presents the application of new instruments in water engineering



Artificial Intelligence Techniques In Hydrology And Water Resources Management


Artificial Intelligence Techniques In Hydrology And Water Resources Management
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Author : Fi-John Chang
language : en
Publisher: Mdpi AG
Release Date : 2023-05-29

Artificial Intelligence Techniques In Hydrology And Water Resources Management written by Fi-John Chang and has been published by Mdpi AG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-29 with Science categories.


The sustainable management of water cycles is crucial in the context of climate change and global warming. It involves managing global, regional, and local water cycles, as well as urban, agricultural, and industrial water cycles, to conserve water resources and their relationships with energy, food, microclimates, biodiversity, ecosystem functioning, and anthropogenic activities. Hydrological modeling is indispensable for achieving this goal, as it is essential for water resources management and the mitigation of natural disasters. In recent decades, the application of artificial intelligence (AI) techniques in hydrology and water resources management has led to notable advances. In the face of hydro-geo-meteorological uncertainty, AI approaches have proven to be powerful tools for accurately modeling complex, nonlinear hydrological processes and effectively utilizing various digital and imaging data sources, such as ground gauges, remote sensing tools, and in situ Internet of Things (IoT) devices. The thirteen research papers published in this Special Issue make significant contributions to long- and short-term hydrological modeling and water resources management under changing environments using AI techniques coupled with various analytics tools. These contributions, which cover hydrological forecasting, microclimate control, and climate adaptation, can promote hydrology research and direct policy making toward sustainable and integrated water resources management.



Water Resource Modeling And Computational Technologies


Water Resource Modeling And Computational Technologies
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Author : Mohammad Zakwan
language : en
Publisher: Elsevier
Release Date : 2022-10-22

Water Resource Modeling And Computational Technologies written by Mohammad Zakwan and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-22 with Computers categories.


Water Resource Modeling and Computational Technologies, Seventh Edition provides the reader with a comprehensive overview of the applications that computational techniques have in various sectors of water resource engineering. The book explores applications of recent modeling and computational techniques in various sectors of water resource engineering, including hydroinformatics, irrigation engineering, climate change, hydrologic forecasting, floods, droughts, image processing, GIS, water quality, aquifer mapping, basin scale modeling, computational fluid dynamics, numerical modeling of surges and groundwater flow, river engineering, optimal reservoir operation, multipurpose projects, and water resource management. As such, this is a must read for hydrologists, civil engineers and water resource managers. Presents contributed chapters from global experts in the field of water resources from both a science and engineering perspective Includes case studies throughout, providing readers with an opportunity to understand how case specific challenges can help with computational techniques Provides basic concepts as well as a literature review on the application of computational techniques in various sectors of water resources



Waste Valorization For Bioenergy And Bioproducts


Waste Valorization For Bioenergy And Bioproducts
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Author : Hwai Chyuan Ong
language : en
Publisher: Elsevier
Release Date : 2024-01-14

Waste Valorization For Bioenergy And Bioproducts written by Hwai Chyuan Ong and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-14 with Technology & Engineering categories.


Waste Valorisation for Bioenergy and Bioproducts: Biofuel, Biogas, and Value-Added Products presents a comprehensive review of the state-of-the-art of waste valorization from solid, liquid, and gaseous waste streams. The book thoroughly examines the conversion of waste-to-energy from the following waste streams: • Commercial, institutional, and residential food wastes, particularly those currently disposed of in landfills. • Biosolids, organic-rich aqueous streams, and sludges from municipal wastewater treatment processes. • Manure slurries from concentrated livestock operations. • Organic wastes from industrial operations, including ,but not limited to, food and beverage manufacturing, biodiesel production, and integrated biorefineries, as well as other industries such as pulp and paper, forest products, and pharmaceuticals. • Biogas derived from any of the above feedstock streams such as landfill gas. Each chapter critically examines the challenges and opportunities in the production of waste-to energy processes, along with addressing the acceptability and marketability of transforming wastes into value-added products. The final chapters analyze the techno-economic viability and the sustainability dimensions of valorizing biological wastes. Waste Valorisation for Bioenergy and Bioproducts: Biofuel, Biogas, and Other Value-Added Products from Different Waste Streams is a one-stop resource for graduate students, researchers, and practicing engineers involved in waste-to-energy and waste management, and will be of interest to environmental, chemical, and process engineers involved in bioenergy and renewable energy Presents the state-of-the-art of waste valorization strategies and emerging technologies that have the potential to revolutionize waste-to-energy Examines the challenges and opportunities in scaling up production and improving acceptability and marketability of waste-to-energy technologies and conversion to value-added products Evaluates a range of parameters, including the techno-economic viability and sustainability dimensions for the valorization of liquid, solid, and gaseous waste streams, providing a comparison of the medium to long term performance of relevant Waste-to-Energy technologies



Artificial Intelligence Methods In The Environmental Sciences


Artificial Intelligence Methods In The Environmental Sciences
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Author : Sue Ellen Haupt
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-11-28

Artificial Intelligence Methods In The Environmental Sciences written by Sue Ellen Haupt and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-28 with Science categories.


How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence (AI) techniques, including neural networks, decision trees, genetic algorithms and fuzzy logic. Part I contains a series of tutorials describing the methods and the important considerations in applying them. In Part II, many practical examples illustrate the power of these techniques on actual environmental problems. International experts bring to life ways to apply AI to problems in the environmental sciences. While one culture entwines ideas with a thread, another links them with a red line. Thus, a “red thread“ ties the book together, weaving a tapestry that pictures the ‘natural’ data-driven AI methods in the light of the more traditional modeling techniques, and demonstrating the power of these data-based methods.