Broadening the Use of Machine Learning in Hydrology PDF Download
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Author: Chaopeng Shen
Publisher: Frontiers Media SA
ISBN: 2889669823
Category : Science
Languages : en
Pages : 163
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Book Description
Author: Chaopeng Shen
Publisher: Frontiers Media SA
ISBN: 2889669823
Category : Science
Languages : en
Pages : 163
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Book Description
Author: M. Z. Naser
Publisher: John Wiley & Sons
ISBN: 1119897610
Category : Technology & Engineering
Languages : en
Pages : 610
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Book Description
Accessible and practical framework for machine learning applications and solutions for civil and environmental engineers This textbook introduces engineers and engineering students to the applications of artificial intelligence (AI), machine learning (ML), and machine intelligence (MI) in relation to civil and environmental engineering projects and problems, presenting state-of-the-art methodologies and techniques to develop and implement algorithms in the engineering domain. Through real-world projects like analysis and design of structural members, optimizing concrete mixtures for site applications, examining concrete cracking via computer vision, evaluating the response of bridges to hazards, and predicating water quality and energy expenditure in buildings, this textbook offers readers in-depth case studies with solved problems that are commonly faced by civil and environmental engineers. The approaches presented range from simplified to advanced methods, incorporating coding-based and coding-free techniques. Professional engineers and engineering students will find value in the step-by-step examples that are accompanied by sample databases and codes for readers to practice with. Written by a highly qualified professional with significant experience in the field, Machine Learning includes valuable information on: The current state of machine learning and causality in civil and environmental engineering as viewed through a scientometrics analysis, plus a historical perspective Supervised vs. unsupervised learning for regression, classification, and clustering problems Explainable and causal methods for practical engineering problems Database development, outlining how an engineer can effectively collect and verify appropriate data to be used in machine intelligence analysis A framework for machine learning adoption and application, covering key questions commonly faced by practitioners This textbook is a must-have reference for undergraduate/graduate students to learn concepts on the use of machine learning, for scientists/researchers to learn how to integrate machine learning into civil and environmental engineering, and for design/engineering professionals as a reference guide for undertaking MI design, simulation, and optimization for infrastructure.
Author: Saeid Eslamian
Publisher: Elsevier
ISBN: 012821970X
Category : Technology & Engineering
Languages : en
Pages : 484
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Book Description
Classic Soft-Computing Techniques is the first volume of the three, in the Handbook of HydroInformatics series.? Through this comprehensive, 34-chapters work, the contributors explore the difference between traditional computing, also known as hard computing, and soft computing, which is based on the importance given to issues like precision, certainty and rigor. The chapters go on to define fundamentally classic soft-computing techniques such as Artificial Neural Network, Fuzzy Logic, Genetic Algorithm, Supporting Vector Machine, Ant-Colony Based Simulation, Bat Algorithm, Decision Tree Algorithm, Firefly Algorithm, Fish Habitat Analysis, Game Theory, Hybrid Cuckoo–Harmony Search Algorithm, Honey-Bee Mating Optimization, Imperialist Competitive Algorithm, Relevance Vector Machine, etc.?It is a fully comprehensive handbook providing all the information needed around classic soft-computing techniques. This volume is a true interdisciplinary work, and the audience includes postgraduates and early career researchers interested in Computer Science, Mathematical Science, Applied Science, Earth and Geoscience, Geography, Civil Engineering, Engineering, Water Science, Atmospheric Science, Social Science, Environment Science, Natural Resources, and Chemical Engineering. - Key insights from global contributors in the fields of data management research, climate change and resilience, insufficient data problem, etc. - Offers applied examples and case studies in each chapter, providing the reader with real world scenarios for comparison. - Introduces classic soft-computing techniques, necessary for a range of disciplines.
Author: Philippe Gourbesville
Publisher: Springer Nature
ISBN: 9819740762
Category :
Languages : en
Pages : 512
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Book Description
Author: Adam E. Ahmed
Publisher: Springer Nature
ISBN: 3031467043
Category : Technology & Engineering
Languages : en
Pages : 500
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Book Description
Food and nutrition security is a major concern for Saudi Arabia and the surrounding regions due to the range of challenges they face. These challenges include limited agricultural resources, low self-sufficiency in key food staples, climate change, and high levels of food loss and waste. This book aims to evaluate and analyze the current situation and future prospects of food and nutrition security in Saudi Arabia. Additionally, it seeks to analyze and assess the roles and functions of various institutions related to food security, providing a deeper understanding of the complex problems associated with it. Furthermore, this book aligns with Kingdom Vision 2030, which includes a set of strategies and programs focused on agriculture, food, and water security. It also aligns with the institutional identity of King Faisal University's "Food Security and Environmental Sustainability". The book consists of four volumes. Volume 2 is entitled "Macroeconomic Policy Implications on Food and Nutrition Security". It covers various areas, including food price, loss and waste, processing, finance, trade, investment, quality and safety, consumption patterns, climate change, early warning systems, nutrition institutions, oil revenue, and the significance of date palm and Hassawi rice, genetically modified food, and edible insects in ensuring food and nutritional security. This book is highly significant for professionals, researchers, policymakers, and entrepreneurs involved in food and nutrition security in Saudi Arabia, the Gulf Cooperation Council, and various national and international organizations. It offers a comprehensive analysis of the obstacles and possibilities in ensuring food and nutrition security, as well as presenting practical approaches to address these issues. Additionally, graduate students studying in fields related to food and nutrition security will benefit from this book.
Author: Delphis F. Levia
Publisher: Springer Nature
ISBN: 3030260860
Category : Science
Languages : en
Pages : 629
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Book Description
The United Nations has declared 2018-2028 as the International Decade for Action on Water for Sustainable Development. This is a timely designation. In an increasingly thirsty world, the subject of forest-water interactions is of critical importance to the achievement of sustainability goals. The central underlying tenet of this book is that the hydrologic community can conduct better science and make a more meaningful impact to the world’s water crisis if scientists are: (1) better equipped to utilize new methods and harness big data from either or both high-frequency sensors and long-term research watersheds; and (2) aware of new developments in our process-based understanding of the hydrological cycle in both natural and urban settings. Accordingly, this forward-looking book delves into forest-water interactions from multiple methodological, statistical, and process-based perspectives (with some chapters featuring data sets and open-source R code), concluding with a chapter on future forest hydrology under global change. Thus, this book describes the opportunities of convergence in high-frequency sensing, big data, and open source software to catalyze more comprehensive understanding of forest-water interactions. The book will be of interest to researchers, graduate students, and advanced undergraduates in an array of disciplines, including hydrology, forestry, ecology, botany, and environmental engineering.
Author: John T. Van Stan II
Publisher: Springer Nature
ISBN: 3031497686
Category :
Languages : en
Pages : 169
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Book Description
Author: Humberto Blanco
Publisher: CSIRO PUBLISHING
ISBN: 1486313787
Category : Nature
Languages : en
Pages : 271
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Book Description
A changing climate is causing challenges for soil and water management in many parts of the world. Current soil management practices need to be redesigned to effectively address present and future fluctuating climates. Soil Hydrology in a Changing Climate explores how soil management practices impact soil hydrological characteristics, and how we can improve our understanding of soil and water management under changing conditions. Soil hydrology includes water infiltration and soil water storage, which are critical for agricultural plant and animal production. With our future climate predicted to include hotter, drier conditions, increases in evapotranspiration as well as fewer, more intense storms, improved soil management and soil hydrology are critical to ensuring our agriculture production can meet human demand. This comprehensive book is a valuable resource for land managers, soil conservationists, researchers and others who wish to understand how different management practices affect soil and water dynamics and how these practices can be adjusted to enhance agricultural sustainability and environmental quality.
Author: Manish Pandey
Publisher: Springer Nature
ISBN: 9819774748
Category :
Languages : en
Pages : 581
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Book Description
Author: Delphis F. Levia
Publisher: Springer
ISBN: 9783030260859
Category : Science
Languages : en
Pages : 0
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Book Description
The United Nations has declared 2018-2028 as the International Decade for Action on Water for Sustainable Development. This is a timely designation. In an increasingly thirsty world, the subject of forest-water interactions is of critical importance to the achievement of sustainability goals. The central underlying tenet of this book is that the hydrologic community can conduct better science and make a more meaningful impact to the world’s water crisis if scientists are: (1) better equipped to utilize new methods and harness big data from either or both high-frequency sensors and long-term research watersheds; and (2) aware of new developments in our process-based understanding of the hydrological cycle in both natural and urban settings. Accordingly, this forward-looking book delves into forest-water interactions from multiple methodological, statistical, and process-based perspectives (with some chapters featuring data sets and open-source R code), concluding with a chapter on future forest hydrology under global change. Thus, this book describes the opportunities of convergence in high-frequency sensing, big data, and open source software to catalyze more comprehensive understanding of forest-water interactions. The book will be of interest to researchers, graduate students, and advanced undergraduates in an array of disciplines, including hydrology, forestry, ecology, botany, and environmental engineering.
