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Advanced Hydroinformatics

Autor: Gerald A. Corzo Perez , Dimitri P. Solomatine

Número de Páginas: 483

Applying machine learning and optimization technologies to water management problems The rapid development of machine learning brings new possibilities for hydroinformatics research and practice with its ability to handle big data sets, identify patterns and anomalies in data, and provide more accurate forecasts. Advanced Hydroinformatics: Machine Learning and Optimization for Water Resources presents both original research and practical examples that demonstrate how machine learning can advance data analytics, accuracy of modeling and forecasting, and knowledge discovery for better water management. Volume Highlights Include: Overview of the application of artificial intelligence and machine learning techniques in hydroinformatics Advances in modeling hydrological systems Different data analysis methods and models for forecasting water resources New areas of knowledge discovery and optimization based on using machine learning techniques Case studies from North America, South America, the Caribbean, Europe, and Asia The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide ...

Data Analytics and Artificial Intelligence for Earth Resource Management

Autor: Deepak Kumar , Tavishi Tewary , Sulochana Shekhar

Número de Páginas: 310

Data Analytics and Artificial Intelligence for Earth Resource Management offers a detailed look at the different ways data analytics and artificial intelligence can help organizations make better-informed decisions, improve operations, and minimize the negative impacts of resource extraction on the environment. The book explains several different ways data analytics and artificial intelligence can improve and support earth resource management. Predictive modeling can help organizations understand the impacts of different management decisions on earth resources, such as water availability, land use, and biodiversity.Resource monitoring tracks the state of earth resources in real-time, identifying issues and opportunities for improvement. Providing managers with real-time data and analytics allows them to make more informed choices. Optimizing resource management decisions help to identify the most efficient and effective ways to allocate resources. Predictive maintenance allows organizations to anticipate when equipment might fail and take action to prevent it, reducing downtime and maintenance costs. Remote sensing with image processing and analysis can be used to extract...

Innovations in Machine Learning and IoT for Water Management

Autor: Kumar, Abhishek , Srivastav, Arun Lal , Dubey, Ashutosh Kumar , Dutt, Vishal , Vyas, Narayan

Número de Páginas: 331

Water, our planet's life force, faces multiple challenges in the 21st century, including surging global demand, shifting climate patterns, and the urgent need for sustainable management. Guidance, knowledge, and hope is sharply needed in academia and technology industries, and Innovations in Machine Learning and IoT for Water Management is a formidable resource to provide these necessities. This book delves into the dynamic synergy of Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT), ushering in a new era of water resource stewardship. This book embarks on a journey through the frontiers of AI and IoT, unveiling their transformative impact on water management. From the vantage point of satellite imagery analysis, it scrutinizes the Earth's vital signs, unlocking crucial insights into water resources. It chronicles the rise of AI-powered predictive analytics, a revolutionary force propelling precision water usage and conservation. This book explains how IoT can be an effective tool to increase intelligence of our water systems. The book meticulously navigates through domains as diverse as aquifer monitoring, hydropower generation optimization,...

Smart Technology Applications in Water Management

Autor: Tamim Younos , Juneseok Lee , Tammy E. Parece

Número de Páginas: 225

This book reviews the latest advances and practical applications of smart technologies applied to water resource management. Bridging environmental chemistry, engineering, and information technology, the book offers a multidisciplinary perspective on how digital innovations are reshaping water monitoring, infrastructure diagnostics, and decision-making processes. Chapters by expert contributors cover topics such as the applications of machine learning for drinking water pipeline replacement, geospatial technologies, satellite and remote sensing technologies, Internet - of - Things (IOT), cybersecurity, robotics in water monitoring and artificial intelligence. Particular attention is given to the applications in real-time modelling of flood forecasting in urban drainage systems and the implementation of smart water networks. With detailed case studies and industry insights, this book highlights practical implementations such as smart water networks, optimal sensor deployment, and AI-driven service line material detection. Given its breadth, the book is a valuable resource for researchers, scholars and students, and serves as a roadmap for water resource engineers and planners...

Handbook of HydroInformatics

Autor: Saeid Eslamian , Faezeh Eslamian

Número de Páginas: 420

Advanced Machine Learning Techniques includes the theoretical foundations of modern machine learning, as well as advanced methods and frameworks used in modern machine learning. Handbook of HydroInformatics, Volume II: Advanced Machine Learning Techniques presents both the art of designing good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees. The global contributors cover theoretical foundational topics such as computational and statistical convergence rates, minimax estimation, and concentration of measure as well as advanced machine learning methods, such as nonparametric density estimation, nonparametric regression, and Bayesian estimation; additionally, advanced frameworks such as privacy, causality, and stochastic learning algorithms are also included. Lastly, the volume presents Cloud and Cluster Computing, Data Fusion Techniques, Empirical Orthogonal Functions and Teleconnection, Internet of Things, Kernel-Based Modeling, Large Eddy Simulation, Patter Recognition, Uncertainty-Based Resiliency Evaluation, and Volume-Based Inverse Mode. This is an interdisciplinary book, and the...

Water Resources Management and Reservoir Operation

Autor: Ramakar Jha , Vijay P. Singh , Vivekanand Singh , L.b. Roy , Roshni Thendiyath

Número de Páginas: 290

This book explores many recent techniques including ANN, fuzzy logic, hydraulic models and IWRM utilized for integrated water resources management, a real challenge in India for obtaining high irrigation efficiency. The book deals with topics of current interest, such as climate change, floods, drought, and hydrological extremes. The impact of climate change on water resources is drawing worldwide attention these days; for water resources, many countries are already stressed and climate change along with burgeoning population, rising standard of living, and increasing demand are adding to the stress. Further, river basins are becoming less resilient to climatic vagaries. Fundamental to addressing these issues is hydrological modelling which is covered in this book Further, integrated water resources management is vital to ensure water and food security. Integral to the management is groundwater and solute transport. The book encompasses tools that will be useful to mitigate the adverse consequences of natural disasters.

Smart Water Technology for Sustainable Management in Modern Cities

Autor: Ruiz-vanoye, Jorge A. , Díaz-parra, Ocotlán

Número de Páginas: 456

With growing populations and the pressures of climate change, cities face significant challenges in maintaining sustainable water systems. Smart water technologies, including sensors, data analytics, and automated systems, enable real-time monitoring and efficient management of water resources, reducing waste and improving infrastructure. These innovations help improve water quality and availability while supporting efforts to minimize environmental impact and improve urban sustainability. As cities expand, the adoption of smart water technology is crucial for a reliable, sustainable, and equitable water supply. Smart Water Technology for Sustainable Management in Modern Cities examines the convergence of artificial intelligence (AI) and smart water technologies in the context of smart cities. It explores how AI is transforming water management to address challenges such as efficiency, sustainability, climate change resilience and optimizing water use in urban environments. This book covers topics such as wastewater treatment, precision agriculture, and smart cities, and is a useful resource for environmental scientists, urban developers, engineers, computer scientists,...

The Routledge Handbook of Geospatial Technologies and Society

Autor: Alexander J. Kent , Doug Specht

Número de Páginas: 695

The Routledge Handbook of Geospatial Technologies and Society provides a relevant and comprehensive reference point for research and practice in this dynamic field. It offers detailed explanations of geospatial technologies and provides critical reviews and appraisals of their application in society within international and multi-disciplinary contexts as agents of change. The ability of geospatial data to transform knowledge in contemporary and future societies forms an important theme running throughout the entire volume. Contributors reflect on the changing role of geospatial technologies in society and highlight new applications that represent transformative directions in society and point towards new horizons. Furthermore, they encourage dialogue across disciplines to bring new theoretical perspectives on geospatial technologies, from neurology to heritage studies. The international contributions from leading scholars and influential practitioners that constitute the Handbook provide a wealth of critical examples of these technologies as agents of change in societies around the globe. The book will appeal to advanced undergraduates and practitioners interested or engaged in...

Computational Intelligence for Water and Environmental Sciences

Autor: Omid Bozorg-haddad , Babak Zolghadr-asli

Número de Páginas: 547

This book provides a comprehensive yet fresh perspective for the cutting-edge CI-oriented approaches in water resources planning and management. The book takes a deep dive into topics like meta-heuristic evolutionary optimization algorithms (e.g., GA, PSA, etc.), data mining techniques (e.g., SVM, ANN, etc.), probabilistic and Bayesian-oriented frameworks, fuzzy logic, AI, deep learning, and expert systems. These approaches provide a practical approach to understand and resolve complicated and intertwined real-world problems that often imposed serious challenges to traditional deterministic precise frameworks. The topic caters to postgraduate students and senior researchers who are interested in computational intelligence approach to issues stemming from water and environmental sciences.

Integrated Urban Water Resources Management

Autor: Petr Hlavinek , Tamara Kukharchyk , Jiri Marsalek , Ivana Mahrikova

Número de Páginas: 339

Growing populations and rising standards of living exert stress on water supply and the quality of drinking water. In wastewater management, new challenges are caused by new chemicals of concern, including endocrine disrupters, pharmaceuticals, hormones, and personal care products, which often pass through wastewater treatment plants unabated, but may cause serious impacts on receiving aquatic ecosystems. Advanced wastewater treatment leads to production of biosolids, which are processed in various ways, including on-land applications in agriculture. Municipal effluents, combined with increasing withdrawals of water, lead to the worsening of receiving water quality. Expert opinions indicate that the only way to deal with the current urban water management dilemmas is by integrated management and innovative delivery of water services. This book presents important aspects of Challenges in Management of Urban Water Resources, Challenges in Urban Water Supply, Urban Drainage and Water Bodies, Wastewater Treatment and Security, and Wastewater Treatment and Reuse.

Urban Drainage

Autor: David Butler , Christopher Digman , Christos Makropoulos , John W. Davies

Número de Páginas: 649

This new edition of a well-established textbook covers the health, environmental, and engineering aspects of the management of rainwater and wastewater in areas of human development. Urban Drainage deals comprehensively not only with the design of new systems but also with the analysis and upgrading of existing infrastructure. Keeping its balance of principles, practice, and research, the fifth edition has had the most comprehensive update of any edition so far. It includes a new chapter on urban drainage planning, some significant restructuring of others and the introduction of new topics, including emerging contaminants, wastewater surveillance, AI, digital twins, and cyber-physical security. It also addresses current concerns about climate change impacts and intermittent wastewater pollution, and new ideas about sustainable and resilient systems. In all cases, the aim is to provide comprehensive, authoritative, and evidence-based content prioritising innovation, improved methods, and solutions. This is an essential text for undergraduates and graduate students, lecturers, and researchers in water engineering, environmental engineering, public health engineering, engineering...

Swarm, Evolutionary, and Memetic Computing

Autor: Bijaya Ketan Panigrahi , Ponnuthurai Nagaratnam Suganthan , Swagatam Das , Suresh Chandra Satapathy

Número de Páginas: 775

These two volumes, LNCS 7076 and LNCS 7077, constitute the refereed proceedings of the Second International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2011, held in Visakhapatnam, India, in December 2011. The 124 revised full papers presented in both volumes were carefully reviewed and selected from 422 submissions. The papers explore new application areas, feature new bio-inspired algorithms for solving specific hard optimization problems, and review the latest progresses in the cutting-edge research with swarm, evolutionary, and memetic computing in both theoretical and practical aspects.

A Primer on Machine Learning Applications in Civil Engineering

Autor: Paresh Chandra Deka

Número de Páginas: 211

Machine learning has undergone rapid growth in diversification and practicality, and the repertoire of techniques has evolved and expanded. The aim of this book is to provide a broad overview of the available machine-learning techniques that can be utilized for solving civil engineering problems. The fundamentals of both theoretical and practical aspects are discussed in the domains of water resources/hydrological modeling, geotechnical engineering, construction engineering and management, and coastal/marine engineering. Complex civil engineering problems such as drought forecasting, river flow forecasting, modeling evaporation, estimation of dew point temperature, modeling compressive strength of concrete, ground water level forecasting, and significant wave height forecasting are also included. Features Exclusive information on machine learning and data analytics applications with respect to civil engineering Includes many machine learning techniques in numerous civil engineering disciplines Provides ideas on how and where to apply machine learning techniques for problem solving Covers water resources and hydrological modeling, geotechnical engineering, construction engineering...

Computer and Information Science and Engineering

Autor: Roger Lee

Número de Páginas: 221

This book reports state-of-the-art results in Computer Information Science and Engineering in both printed and electronic form. Studies in Computation Intelligence (SCI) has grown into the most comprehensive computational intelligence research forum available in the world. This book published original papers on both theory and practice that address foundations, state-of-the-art problems and solutions, and crucial challenges.

Data Science and SDGs

Autor: Bikas Kumar Sinha , Md. Nurul Haque Mollah

Número de Páginas: 211

The book presents contributions on statistical models and methods applied, for both data science and SDGs, in one place. Measuring and controlling data of SDGs, data driven measurement of progress needs to be distributed to stakeholders. In this situation, the techniques used in data science, specially, in the big data analytics, play an important role rather than the traditional data gathering and manipulation techniques. This book fills this space through its twenty contributions. The contributions have been selected from those presented during the 7th International Conference on Data Science and Sustainable Development Goals organized by the Department of Statistics, University of Rajshahi, Bangladesh; and cover topics mainly on SDGs, bioinformatics, public health, medical informatics, environmental statistics, data science and machine learning. The contents of the volume would be useful to policymakers, researchers, government entities, civil society, and nonprofit organizations for monitoring and accelerating the progress of SDGs.

IEEE ... International Conference on Emerging Technologies and Factory Automation Proceedings

Número de Páginas: 866

Proceedings

Número de Páginas: 818

Hydro-climate extremes and natural disasters during global warming: Observation, projection, and mitigation

Autor: Peng Sun , Shuliang Zhang , Ming Luo , Shao Sun , Zhen Liu

Número de Páginas: 145

Advanced Hydroinformatics in Vulnerability Assessments and Mitigative Interventions

Autor: Mrinmoy Majumder , V.p. Singh , Rajiv Kumar Srivastava , Ganesh D. Kale

Número de Páginas: 0

Advanced Hydroinformatics in Vulnerability Assessments and Mitigative Interventions is a comprehensive guide that explores the role of hydroinformatics in managing peri-urban watersheds amidst challenges such as climate change and urbanization.Leveraging artificial intelligence, data science, and Internet of Things, this book presents innovative strategies for optimal management of natural resources. The book uniquely combines theory and case studies to illustrate the application of data science, AI, and other technologies in assessing vulnerabilities and developing mitigation strategies for peri-urban watersheds.Readers will find Advanced Hydroinformatics in Vulnerability Assessments and Mitigative Interventions an invaluable resource for understanding and applying hydroinformatics to address their water-related challenges. - Provides real-world case studies demonstrating the application of AI, data science, and Internet of Things in watershed management - Offers practical strategies for assessing vulnerabilities and crafting mitigative interventions in the face of water scarcity - Unpacks the complex role of hydroinformatics in managing peri-urban watersheds, particularly under...

Optimización heurística y redes neuronales

Número de Páginas: 235

Water Informatics

Autor: Supreeti Kamilya , Arindam Biswas , Sheng-lung Peng

Número de Páginas: 239

This book provides a clear view of various applications for water resource management using different state-of-the-art technologies such as artificial intelligence, IoT, and cellular automata. The book also shows the analytical part of surface water as well as groundwater bodies to control pollution and save ecology. It gives an idea about the collection of data for disaster management such as flood prediction and flood inoculation. The book provides the fundamental aspects of various computational or simulation methods for surface and underground water body detection, prediction of non-biodegradable elements in water bodies, water potability, and predictions of natural disasters like floods. The book summarizes different aspects of water body challenges and the possible solutions proposed using new technologies. The book opens up a future research direction of dealing with various challenges and solutions based on emerging technologies. This book comes up with a direction for the researchers interested in dealing with various aspects of water challenges and finding solutions using emerging technologies in the new era of modern computations.

Deutsche Nationalbibliographie und Bibliographie der im Ausland erschienenen deutschsprachigen Veröffentlichungen

Número de Páginas: 890

Introducción a la ingeniería medioambiental

Autor: Gilbert M. Masters , Wendell P. Ela

Número de Páginas: 752

Artificial Intelligence Applications in Water Treatment and Water Resource Management

Autor: Shikuku, Victor

Número de Páginas: 289

The emergence of a plethora of water contaminants as a result of industrialization has introduced complexity to water treatment processes. Such complexity may not be easily resolved using deterministic approaches. Artificial intelligence (AI) has found relevance and applications in almost all sectors and academic disciplines, including water treatment and management. AI provides dependable solutions in the areas of optimization, suspect screening or forensics, classification, regression, and forecasting, all of which are relevant for water research and management. Artificial Intelligence Applications in Water Treatment and Water Resource Management explores the different AI techniques and their applications in wastewater treatment and water management. The book also considers the benefits, challenges, and opportunities for future research. Covering key topics such as water wastage, irrigation, and energy consumption, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Handbook of HydroInformatics

Autor: Saeid Eslamian , Faezeh Eslamian

Número de Páginas: 422

Handbook of HydroInformatics Volume III: Water Data Management Best Practices presents the latest and most updated data processing techniques that are fundamental to Water Science and Engineering disciplines. These include a wide range of the new methods that are used in hydro-modeling such as Atmospheric Teleconnection Pattern, CONUS-Scale Hydrologic Modeling, Copula Function, Decision Support System, Downscaling Methods, Dynamic System Modeling, Economic Impacts and Models, Geostatistics and Geospatial Frameworks, Hydrologic Similarity Indices, Hydropower/Renewable Energy Models, Sediment Transport Dynamics Advanced Models, Social Data Mining, and Wavelet Transforms. This volume is an example of true interdisciplinary work. The audience includes postgraduates and above interested in Water Science, Geotechnical Engineering, Soil Science, Civil Engineering, Chemical Engineering, Computer Engineering, Engineering, Applied Science, Earth and Geoscience, Atmospheric Science, Geography, Environment Science, Natural Resources, Mathematical Science, and Social Sciences. It is a fully comprehensive handbook which provides all the information needed related to the best practices for...

Water Resource Modeling and Computational Technologies

Autor: Mohammad Zakwan , Abdul Wahid , Majid Niazkar , Uday Chatterjee

Número de Páginas: 722

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...

Applications of Machine Learning in Hydroclimatology

Autor: Roshan Srivastav , Purna C. Nayak

Número de Páginas: 151

Applications of Machine Learning in Hydroclimatology is a comprehensive exploration of the transformative potential of machine learning for addressing critical challenges in water resources management. The book explores how artificial intelligence can unravel the complexities of hydrological systems, providing researchers and practitioners with cutting-edge tools to model, predict, and manage these systems with greater precision and effectiveness. It thoroughly examines the modeling of hydrometeorological extremes, such as floods and droughts, which are becoming increasingly difficult to predict due to climate change. By leveraging AI-driven methods to forecast these extremes, the book offers innovative approaches that enhance predictive accuracy. It emphasizes the importance of analyzing non-stationarity and uncertainty in a rapidly evolving climate landscape, illustrating how statistical and frequency analyses can improve hydrological forecasts. Moreover, the book explores the impact of climate change on flood risks, drought occurrences, and reservoir operations, providing insights into how these phenomena affect water resource management. To provide practical solutions, the...

Practical Hydroinformatics

Autor: Robert J. Abrahart , Linda M. See , Dimitri P. Solomatine

Número de Páginas: 495

Hydroinformatics is an emerging subject that is expected to gather speed, momentum and critical mass throughout the forthcoming decades of the 21st century. This book provides a broad account of numerous advances in that field - a rapidly developing discipline covering the application of information and communication technologies, modelling and computational intelligence in aquatic environments. A systematic survey, classified according to the methods used (neural networks, fuzzy logic and evolutionary optimization, in particular) is offered, together with illustrated practical applications for solving various water-related issues. ...

Teoría de la estructuras

Autor: Stephen Timoshenko , Donovan Harold Young

Número de Páginas: 622

Elementos de estática en el plano. Celosías planas estáticamente determinadas. Líneas de influencias. Estructuras espaciales estáticamente determinadas. Teoremas generales relativos a los sistemas elásticos. Deformación de celosías con nudos articulados. Celosías estáticamente indeterminadas con nudos articulados. Arcos y pórticos. Vigas continuas y pórticos. Métodos matriciales en el análisis de estructuras. Puentes colgantes. Dinámica estructural. Tablas. Bibliografía

Essential Tools for Water Resources Analysis, Planning, and Management

Autor: Omid Bozorg-haddad

Número de Páginas: 346

This book describes concepts and tools needed for water resources management, including methods for modeling, simulation, optimization, big data analysis, data mining, remote sensing, geographical information system, game theory, conflict resolution, System dynamics, agent-based models, multiobjective, multicriteria, and multiattribute decision making and risk and uncertainty analysis, for better and sustainable management of water resources and consumption, thus mitigating the present and future global water shortage crisis. It presents the applications of these tools through case studies which demonstrate its benefits of proper management of water resources systems. This book acts as a reference for students, professors, industrial practitioners, and stakeholders in the field of water resources and hydrology.

Applications of AI for Water Resources Management

Autor: Amarnath, Giriraj , Bente, Kim , Bianchini, Silvia , Casagli, Nicola , Chen, Yin , Dahm, Ruben , Deltares , Deng, Jing , Derksen, Chris , Gerritsma, Isabel , Guan, Jianzhao , Haag, Arjen , Kaltenborn, Julia , Korving, Hans , Mcdonald, Andrew , Mertens, Annelies , Meshgi, Ali , Moreno-rodenas, Antonio , Nuttall, Jonathan David , Rahat, Saiful Haque , Ray, Patrick , Shi, Hongling , Taner, Ümit , Tofani, Veronica , Unesco , Verbist, Koen , Zhang, Lei

Número de Páginas: 119

Smart Water Resource Management

Autor: Ana Cristina Faria Ribeiro , A. K. Haghi

Número de Páginas: 114

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.

Soft Computing and Geospatial Techniques in Water Resources Engineering

Autor: Manish Pandey , K. V. Jayakumar , Manali Pal , Vijay P. Singh

Número de Páginas: 670

This book comprises proceedings of the 28th International Conference on Hydraulics, Water Resources, River and Coastal Engineering (HYDRO 2023). It focuses on emerging opportunities and challenges in the field of soft computing and geospatial techniques in water resources engineering. The book covers a range of topics including, but not limited to, satellite-derived data for hydrologic applications, Geospatial Information System (GIS) and Remote Sensing (RS) applications in water resources management, rainfall and streamflow prediction, hydro-informatics, data-driven and artificial intelligent-based hydrological modelling, optimization of water resources systems. The book presents these topics in the form of illustrations and tables, thereby providing the readers with an in-depth insight into the recent research. It also addresses fundamental concepts and studies in the field of soft computing and geospatial techniques in water resources engineering, making it a valuable resource for researchers and professionals working in the fields of hydraulics, water resources and coastal engineering.

Losas de concreto reforzado

Autor: Robert Autor Park , W. L. Ggamble (coaut)

Número de Páginas: 685

El lenguaje de programación C

Autor: Brian W. Kernighan , Dennis M. Ritchie

Número de Páginas: 0

Teoría de vibraciones

Autor: William Tyrrell Thomson

Número de Páginas: 491

Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management

Autor: Ozgur Kisi

Número de Páginas: 254

The main aim of this book is to present various implementations of ML methods and metaheuristic algorithms to improve modelling and prediction hydrological and water resources phenomena having vital importance in water resource management.

Metaheuristic Algorithms and Neural Networks in Hydrology

Autor: Kuok King Kuok , Md Rezaur Rahman

Número de Páginas: 231

This book summarizes the latest research and developments related to the application of nature-inspired metaheuristic algorithms coupled with artificial neural networks (ANNs) in hydrology. The book covers the theoretical foundations, models and methods, structure, frameworks and analysis of applying novel ANNs in hydrology. It starts with the introduction of ANNs as a black box model, followed by the coupling of various metaheuristic algorithms with ANNs to form novel neural network models for solving real-world problems in hydrology, including Particle Swarm Optimization (PSO) for rainfall-runoff modeling, Bat Optimization (Bat) and Cuckoo Search Optimization (CSO) for future rainfall prediction, the Whale Optimization Algorithm (WOA) and Salp Swarm Optimization (SSO) for future water level prediction, Grey Wolf Optimization (GWO), Multi-Verse Optimization (MVO), the Sine Cosine Algorithm (SCA) and the Hybrid Sine Cosine and Fitness Dependent Optimizer (SC-FDO) for imputing missing rainfall data.

Advances in Hydroinformatics

Autor: Philippe Gourbesville , Guy Caignaert

Número de Páginas: 1264

This book includes a collection of extended papers based on presentations given during the SIMHYDRO 2021 conference, held in Sophia Antipolis in June 2021 with the support of French Hydrotechnic Society (SHF). It focused on "Models for complex and global water issues—Practices and expectations”. The water field is continuously mobilizing models for addressing complex issues and new challenges. Within the context of the climate change, the water issues are exacerbated with the competition among uses. The limited water resources request from the modern societies to review some of the historical paradigms traditionally used and to promote new approaches for a sustainable management. The combined complexity and vulnerability of large urban environments request a deep understanding of water uses and environmental synergy. At the same time, water-related natural hazards are contentiously straightening modern societies that must adapt and implement a more resilient environment. In parallel, in the industrial sector, the search for a high level of efficiency for hydraulic machinery requests to simulate complex processes. Under all these situations, the models currently used represent...