Download Full eBooks in PDF
Application Of Machine Learning Techniques To Flood Forecasting In The Upper Reach Of The Huai River Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Application Of Machine Learning Techniques To Flood Forecasting In The Upper Reach Of The Huai River book. This book definitely worth reading, it is an incredibly well-written.
Author : Xue Yunpeng
Publisher : Unknown
Page : 128 pages
File Size : 50,8 Mb
Release : 2001
Category : Electronic
ISBN : OCLC:637063064
Author : Muhammad Saifullah
Publisher : BoD – Books on Demand
Page : 124 pages
File Size : 41,6 Mb
Release : 2021-10-13
Category : Science
ISBN : 9781839680533
Weather warnings are important because governments use them to protect life and property. In addition, predicting temperature and precipitation is important for agriculture. As such, weather forecasting is an integral part of meeting targets 2 and 13 of the United Nations’ Sustainable Development Goals: zero hunger and climate action, respectively. This book presents recent developments in scientific research on weather and climate in the extreme environments of Asian, African, and European regions. It provides in-depth case studies from Pakistan, the United States, Vietnam, Nigeria, and Africa. The global and inter-disciplinary results of these studies help us to understand and address the grand challenges of weather as well as its impact on society.
Author : William W. Hsieh
Publisher : Cambridge University Press
Page : 364 pages
File Size : 48,7 Mb
Release : 2009-07-30
Category : Computers
ISBN : 9780521791922
A graduate textbook that provides a unified treatment of machine learning methods and their applications in the environmental sciences.
Author : Madhavi Latha Gali,P. Raghuveer Rao
Publisher : Springer Nature
Page : 763 pages
File Size : 49,8 Mb
Release : 2020-08-13
Category : Science
ISBN : 9789811562334
This volume comprises select papers presented during the Indian Geotechnical Conference 2018. This volume discusses concepts of soil dynamics and studies related to earthquake geotechnical engineering, slope stability, and landslides. The papers presented in this volume analyze failures connected to geotechnical and geological origins to improve professional practice, codes of analysis and design. This volume will prove useful to researchers and practitioners alike.
Author : Gerald A. Corzo Perez,Dimitri P. Solomatine
Publisher : John Wiley & Sons
Page : 483 pages
File Size : 43,9 Mb
Release : 2023-12-12
Category : Science
ISBN : 9781119639343
Advanced Hydroinformatics Advanced Hydroinformatics Machine Learning and Optimization for Water Resources 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 resources for researchers, students, and professionals.
Author : Wengang Zhang,Yanmei Zhang,Xin Gu,Chongzhi Wu,Liang Han
Publisher : Springer Nature
Page : 143 pages
File Size : 55,9 Mb
Release : 2021-10-12
Category : Science
ISBN : 9789811668357
This book summarizes the application of soft computing techniques, machine learning approaches, deep learning algorithms and optimization techniques in geoengineering including tunnelling, excavation, pipelines, etc. and geoscience including the geohazards, rock and soil properties, etc. The book features state-of-the-art studies on use of SC,ML,DL and optimizations in Geoengineering and Geoscience. Considering these points and understanding, this book will be compiled with highly focussed chapters that will discuss the application of SC,ML,DL and optimizations in Geoengineering and Geoscience. Target audience: (1) Students of UG, PG, and Research Scholars: Several applications of SC,ML,DL and optimizations in Geoengineering and Geoscience can help students to enhance their knowledge in this domain. (2) Industry Personnel and Practitioner: Practitioners from different fields can be able to implement standard and advanced SC,ML,DL and optimizations for solving critical problems of civil engineering.
Author : Saeid Eslamian,Faezeh Eslamian
Publisher : Elsevier
Page : 484 pages
File Size : 55,7 Mb
Release : 2022-11-30
Category : Technology & Engineering
ISBN : 9780128219706
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 : Zoran Vojinovic,Michael B. Abbott
Publisher : IWA Publishing
Page : 582 pages
File Size : 51,6 Mb
Release : 2012-03-05
Category : Science
ISBN : 9781843393870
Flood Risk and Social Justice is a response to the rising significance of floods and flood-related disasters worldwide, as an initiative to promote a socially just approach to the problems of flood risk. It integrates the human-social and the technological components to provide a holistic view. This book treats flooding as a multi-dimensional human and natural world tragedy that must be accommodated using all the social and technological means that can be mobilised before, during and after the flooding event. It covers socially just flood risk mitigation practices which necessitate a wide range of multidisciplinary approaches, starting from social and wider environmental needs, including feedback cycles between human needs and technological means. Flood Risk and Social Justice looks at how to judge whether a risk is acceptable or not by addressing an understanding of social and phenomenological considerations rather than simple calculations of probabilities multiplied by unwanted outcomes and their balancing between costs and benefits. It is argued that the present ‘flood management’ practice should be largely replaced by the social justice approach where particular attention is given to deciding what is the right thing to do within a much wider context. Thus it insists upon the validity of modes of human understanding which cannot be addressed within the limited context of modern science. Flood Risk and Social Justice is written to support a wide range of audiences and seeks to improve the dialogue between researchers and practitioners from different disciplines (including post-graduate engineering, environmental and social science students, industry practitioners, academics, planners, environmental advocacy groups and environmental law professionals) who have a strong interest in a new kind of social justice work that can act as a continuous counter-balance to the various mechanisms that unceasingly give rise to profound injustices. More information about this book can be found in this article written for the WaterWiki by the author: http://www.iwawaterwiki.org/xwiki/bin/view/Articles/FloodRiskandSocialJustice Authors: Zoran Vojinovic is Associate Professor at the UNESCO-IHE Institute for Water Education, Delft, the Netherlands, with almost 20 years of consulting and research experience in various aspects of water industry in New Zealand, Australia, Asia, Europe, Central/South America and the Caribbean. Michael B. Abbott is Emeritus Professor at the UNESCO-IHE Institute for Water Education, Delft, the Netherlands, and a Director of the European Institute for Industrial Leadership in Brussels. He founded and developed the disciplines of Computational Hydraulics and Hydroinformatics and co-founded, the Journal of Hydroinformatics with Professor Roger Falconer.
Author : Anonim
Publisher : Newnes
Page : 2131 pages
File Size : 47,6 Mb
Release : 2010-09-01
Category : Technology & Engineering
ISBN : 9780444531995
Water quality and management are of great significance globally, as the demand for clean, potable water far exceeds the availability. Water science research brings together the natural and applied sciences, engineering, chemistry, law and policy, and economics, and the Treatise on Water Science seeks to unite these areas through contributions from a global team of author-experts. The 4-volume set examines topics in depth, with an emphasis on innovative research and technologies for those working in applied areas. Published in partnership with and endorsed by the International Water Association (IWA), demonstrating the authority of the content Editor-in-Chief Peter Wilderer, a Stockholm Water Prize recipient, has assembled a world-class team of volume editors and contributing authors Topics related to water resource management, water quality and supply, and handling of wastewater are treated in depth
Author : Roland K. Price,Zoran Vojinovi?
Publisher : IWA Publishing
Page : 553 pages
File Size : 50,5 Mb
Release : 2011
Category : Science
ISBN : 9781843392743
This book is an introduction to hydroinformatics applied to urban water management. It shows how to make the best use of information and communication technologies for manipulating information to manage water in the urban environment. The book covers the acquisition and analysis of data from urban water systems to instantiate mathematical models or calculations, which describe identified physical processes. The models are operated within prescribed management procedures to inform decision makers, who are responsible to recognized stakeholders. The application is to the major components of the urban water environment, namely water supply, treatment and distribution, wastewater and stormwater collection, treatment and impact on receiving waters, and groundwater and urban flooding. Urban Hydroinformatics pays particular attention to modeling, decision support through procedures, economics and management, and implementation in both developed and developing countries. The book is written with post-graduates, researchers and practicing engineers who are involved in urban water management and want to improve the scope and reliability of their systems.
Author : Millie Pant,Kusum Deep,Jagdish Chand Bansal,Atulya Nagar,Kedar Nath Das
Publisher : Springer
Page : 1063 pages
File Size : 54,6 Mb
Release : 2016-03-19
Category : Technology & Engineering
ISBN : 9789811004483
The proceedings of SocProS 2015 will serve as an academic bonanza for scientists and researchers working in the field of Soft Computing. This book contains theoretical as well as practical aspects using fuzzy logic, neural networks, evolutionary algorithms, swarm intelligence algorithms, etc., with many applications under the umbrella of ‘Soft Computing’. The book will be beneficial for young as well as experienced researchers dealing across complex and intricate real world problems for which finding a solution by traditional methods is a difficult task. The different application areas covered in the proceedings are: Image Processing, Cryptanalysis, Industrial Optimization, Supply Chain Management, Newly Proposed Nature Inspired Algorithms, Signal Processing, Problems related to Medical and Health Care, Networking Optimization Problems, etc.
Author : Fi-John Chang,Kuolin Hsu,Li-Chiu Chang
Publisher : MDPI
Page : 376 pages
File Size : 45,7 Mb
Release : 2019-02-28
Category : Technology & Engineering
ISBN : 9783038975489
Nowadays, the degree and scale of flood hazards has been massively increasing as a result of the changing climate, and large-scale floods jeopardize lives and properties, causing great economic losses, in the inundation-prone areas of the world. Early flood warning systems are promising countermeasures against flood hazards and losses. A collaborative assessment according to multiple disciplines, comprising hydrology, remote sensing, and meteorology, of the magnitude and impacts of flood hazards on inundation areas significantly contributes to model the integrity and precision of flood forecasting. Methodologically oriented countermeasures against flood hazards may involve the forecasting of reservoir inflows, river flows, tropical cyclone tracks, and flooding at different lead times and/or scales. Analyses of impacts, risks, uncertainty, resilience, and scenarios coupled with policy-oriented suggestions will give information for flood hazard mitigation. Emerging advances in computing technologies coupled with big-data mining have boosted data-driven applications, among which Machine Learning technology, with its flexibility and scalability in pattern extraction, has modernized not only scientific thinking but also predictive applications. This book explores recent Machine Learning advances on flood forecast and management in a timely manner and presents interdisciplinary approaches to modelling the complexity of flood hazards-related issues, with contributions to integrative solutions from a local, regional or global perspective.
Author : Raju Sarkar
Publisher : Springer Nature
Page : 328 pages
File Size : 53,8 Mb
Release : 2024-05-19
Category : Electronic
ISBN : 9789819977079
Author : Ravinesh Deo,Pijush Samui,Sanjiban Sekhar Roy
Publisher : Elsevier
Page : 553 pages
File Size : 49,6 Mb
Release : 2020-09-30
Category : Science
ISBN : 9780128177730
Predictive Modeling for Energy Management and Power Systems Engineering introduces readers to the cutting-edge use of big data and large computational infrastructures in energy demand estimation and power management systems. The book supports engineers and scientists who seek to become familiar with advanced optimization techniques for power systems designs, optimization techniques and algorithms for consumer power management, and potential applications of machine learning and artificial intelligence in this field. The book provides modeling theory in an easy-to-read format, verified with on-site models and case studies for specific geographic regions and complex consumer markets. Presents advanced optimization techniques to improve existing energy demand system Provides data-analytic models and their practical relevance in proven case studies Explores novel developments in machine-learning and artificial intelligence applied in energy management Provides modeling theory in an easy-to-read format
Author : William W. Hsieh
Publisher : Cambridge University Press
Page : 649 pages
File Size : 46,6 Mb
Release : 2023-03-31
Category : Computers
ISBN : 9781107065550
A comprehensive guide to machine learning and statistics for students and researchers of environmental data science.