Download or read book Applications of Machine Learning in Hydroclimatology written by Roshan Karan Srivastav and published by Springer. This book was released on 2024-10-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 book includes case studies that showcase effective mitigation measures for water-related challenges. These examples highlight the use of machine learning techniques such as deep learning, reinforcement learning, and statistical downscaling in real-world scenarios. They demonstrate how artificial intelligence can optimize decision-making and resource management while improving our understanding of complex hydrological phenomena. By utilizing machine learning architectures tailored to hydrology, the book presents physics-guided models, data-driven techniques, and hybrid approaches that can be used to address water management issues. Ultimately, Applications of Machine Learning in Hydroclimatology empowers researchers, practitioners, and policymakers to harness machine learning for sustainable water management. It bridges the gap between advanced AI technologies and hydrological science, offering innovative solutions to tackle today's most pressing challenges in water resources.
Download or read book Applications of Machine Learning in Hydroclimatology written by Roshan Srivastav and published by Springer Nature. This book was released on with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence written by Ashutosh Kumar Dubey and published by Elsevier. This book was released on 2022-11-11 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence covers computer-aided artificial intelligence and machine learning technologies as related to the impacts of climate change and its potential to prevent/remediate the effects. As such, different types of algorithms, mathematical relations and software models may help us to understand our current reality, predict future weather events and create new products and services to minimize human impact, chances of improving and saving lives and creating a healthier world. This book covers different types of tools for the prediction of climate change and alternative systems which can reduce the levels of threats observed by climate change scientists. Moreover, the book will help to achieve at least one of 17 sustainable development goals i.e., climate action. - Includes case studies on the application of AI and machine learning for monitoring climate change effects and management - Features applications of software and algorithms for modeling and forecasting climate change - Shows how real-time monitoring of specific factors (temperature, level of greenhouse gases, rain fall patterns, etc.) are responsible for climate change and possible mitigation efforts to achieve environmental sustainability
Download or read book Hydroclimatology of the Great Lakes Region of North America written by Julie A. Winkler and published by Frontiers Media SA. This book was released on 2022-11-14 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advanced Information Networking and Applications written by Leonard Barolli and published by Springer Nature. This book was released on with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Deep Learning Concepts in Operations Research written by Biswadip Basu Mallik and published by CRC Press. This book was released on 2024-08-30 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: The model-based approach for carrying out classification and identification of tasks has led to the pervading progress of the machine learning paradigm in diversified fields of technology. Deep Learning Concepts in Operations Research looks at the concepts that are the foundation of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomena. Such fields as object classification, speech recognition, and face detection have sought extensive application of artificial intelligence (AI) and ML as well. Among a variety of topics, the book examines: An overview of applications and computing devices Deep learning impacts in the field of AI Deep learning as state-of-the-art approach to AI Exploring deep learning architecture for cutting-edge AI solutions Operations research is the branch of mathematics for performing many operational tasks in other allied domains, and the book explains how the implementation of automated strategies in optimization and parameter selection can be carried out by AI and ML. Operations research has many beneficial aspects for decision making. Discussing how a proper decision depends on several factors, the book examines how AI and ML can be used to model equations and define constraints to solve problems and discover proper and valid solutions more easily. It also looks at how automation plays a significant role in minimizing human labor and thereby minimizes overall time and cost.
Download or read book Hydrology and Hydroclimatology written by M. Karamouz and published by CRC Press. This book was released on 2012-11-27 with total page 731 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a systematic approach to understanding and applying the principles of hydrology and hydroclimatology, examining the interactions among different components of the water cycle. It takes a fresh look at the fundamentals and challenges in hydrologic and hydroclimatic systems as well as climate change. The author describes the applic
Download or read book Connecting Mountain Hydroclimate Through the American Cordilleras written by Alfonso Fernandez and published by Frontiers Media SA. This book was released on 2021-05-18 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handbook of HydroInformatics written by Saeid Eslamian and published by Elsevier. This book was released on 2022-12-06 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 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, Chemical Engineering. - Key insights from 24 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. - Defines both the designing of good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees.
Download or read book Hydrological Processes Modelling and Data Analysis written by Vijay P. Singh and published by Springer Nature. This book was released on with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Hydro Climatic Extremes in the Anthropocene written by Christopher Ndehedehe and published by Springer Nature. This book was released on 2023-10-03 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores how human civilization has contributed to changes in the Anthropocene, an era that marks a fundamental change in the way mankind has interacted with the Earth system. It examines the 21st century in the context of human development of water infrastructures, climate change impacts on freshwater resources, groundwater depletion, rising population, land use change, extreme events (droughts, floods, and wildfires). The implications of climate change impacts on environmental assets and the global water cycle are also highlighted. The book takes a pragmatically trans-disciplinary and holistic approach to the discussion of these issues, and the Earth system in the Anthropocene, drawing from a plethora of case studies. The capabilities of machine learning tools in satellite hydrology applications have been demonstrated as well as the feasibility of remote sensing data and innovative geospatial tools in environmental assessment. The book further showcases the multiple strengths and potential of new multi-disciplinary satellite radar programmes and geodetic missions, to measure and characterize extreme events, and their links to global climate, as well as in remote sensing of the environment. The aim is to provide innovative tools and a scientific framework that underpin our fundamental understanding of environmental systems, and the complexities of socio-hydrological systems in the Anthropocene. Policy issues have also been raised as an important aspect that can strengthen the management and administration of water resources, particularly in emerging economies where observational data is often lacking, limited, or difficult to access. It also highlights the lessons learned from freshwater hotspots (e.g., Lake Chad and Lake Urmia) where prolonged droughts and human activities have led to a permanent loss of surface water. It identifies the role of institutions and stakeholders in driving policies that underpins water management and climate change adaptation. The book articulates the novel applications of remote sensing tools as part of a monitoring framework that can alert stakeholders and the public sector to the dangers of mismanagement of freshwater in these hotspots and help facilitate water governance approaches. The book fills a critical gap in the multi-disciplinary aspect of planetary science, particularly in understanding the impacts of climate change and human actions on freshwater resources, as well as the stability of the Earth system.
Download or read book Understanding Atmospheric Rivers Using Machine Learning written by Manish Kumar Goyal and published by Springer Nature. This book was released on with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Machine Learning and Data Mining Approaches to Climate Science written by Valliappa Lakshmanan and published by Springer. This book was released on 2015-06-30 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is headed. Given its interdisciplinary nature, Climate Informatics offers insights, tools and methods that are increasingly needed in order to understand the climate system, an aspect which in turn has become crucial because of the threat of climate change. There has been a veritable explosion in the amount of data produced by satellites, environmental sensors and climate models that monitor, measure and forecast the earth system. In order to meaningfully pursue knowledge discovery on the basis of such voluminous and diverse datasets, it is necessary to apply machine learning methods, and Climate Informatics lies at the intersection of machine learning and climate science. This book grew out of the fourth workshop on Climate Informatics held in Boulder, Colorado in Sep. 2014.
Download or read book Climate Extremes and Their Implications for Impact and Risk Assessment written by Jana Sillmann and published by Elsevier. This book was released on 2019-11-20 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Climate extremes often imply significant impacts on human and natural systems, and these extreme events are anticipated to be among the potentially most harmful consequences of a changing climate. However, while extreme event impacts are increasingly recognized, methodologies to address such impacts and the degree of our understanding and prediction capabilities vary widely among different sectors and disciplines. Moreover, traditional climate extreme indices and large-scale multi-model intercomparisons that are used for future projections of extreme events and associated impacts often fall short in capturing the full complexity of impact systems. Climate Extremes and Their Implications for Impact and Risk Assessment describes challenges, opportunities and methodologies for the analysis of the impacts of climate extremes across various sectors to support their impact and risk assessment. It thereby also facilitates cross-sectoral and cross-disciplinary discussions and exchange among climate and impact scientists. The sectors covered include agriculture, terrestrial ecosystems, human health, transport, conflict, and more broadly covering the human-environment nexus. The book concludes with an outlook on the need for more transdisciplinary work and international collaboration between scientists and practitioners to address emergent risks and extreme events towards risk reduction and strengthened societal resilience.
Download or read book Geospatial and Soft Computing Techniques written by P. V. Timbadiya and published by Springer Nature. This book was released on 2023-07-25 with total page 605 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises the proceedings of the 26th International Conference on Hydraulics, Water Resources and Coastal Engineering (HYDRO 2021) focusing on broad spectrum of emerging opportunities and challenges in the field of soft computing and geospatial techniques in water resources engineering. It covers a range of topics, including, but not limited to, satellite derived data for hydrologic applications, GIS and 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, etc. Presenting recent advances in the form of illustrations, tables, and text, it offers readers insights for their own research. In addition, the book addresses fundamental concepts and studies in the field of Soft Computing and Geospatial Techniques in Water Resources Engineering, making it a valuable resource for both beginners and researchers wanting to further their understanding of hydraulics, water resources and coastal engineering.
Download or read book Hydrometeorology written by Kevin Sene and published by Springer Science & Business Media. This book was released on 2009-12-12 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes recent developments in hydrometeorological forecasting techniques for a range of timescales, from short term to seasonal and longer terms. It conveniently brings together both meteorological and hydrological aspects in a single volume.
Download or read book Compound Climate Extremes in the Present and Future Climates Machine Learning Statistical Methods and Dynamical Modelling written by Wei Zhang and published by Frontiers Media SA. This book was released on 2022-01-11 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt:
