Integrating Multiple Sources Of Information For Improving Hydrological Modelling An Ensemble Approach
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Integrating Multiple Sources Of Information For Improving Hydrological Modelling An Ensemble Approach
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Author : Isnaeni Murdi Hartanto
language : en
Publisher: CRC Press
Release Date : 2019-04-24
Integrating Multiple Sources Of Information For Improving Hydrological Modelling An Ensemble Approach written by Isnaeni Murdi Hartanto and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-24 with Science categories.
The availability of Earth observation and numerical weather prediction data for hydrological modelling and water management has increased significantly, creating a situation that today, for the same variable, estimates may be available from two or more sources of information. Yet, in hydrological modelling, usually, a particular set of catchment characteristics and input data is selected, possibly ignoring other relevant data sources. In this thesis, therefore, a framework is being proposed to enable effective use of multiple data sources in hydrological modelling. In this framework, each available data source is used to derive catchment parameter values or input time series. Each unique combination of catchment and input data sources thus leads to a different hydrological simulation result: a new ensemble member. Together, the members form an ensemble of hydrological simulations. By following this approach, all available data sources are used effectively and their information is preserved. The framework also accommodates for applying multiple data-model integration methods, e.g. data assimilation. Each alternative integration method leads to yet another unique simulation result. Case study results for a distributed hydrological model of Rijnland, the Netherlands, show that the framework can be applied effectively, improve discharge simulation, and partially account for parameter and data uncertainty.
Hydraulic Engineering
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Author : Liquan Xie
language : en
Publisher: CRC Press
Release Date : 2013-03-12
Hydraulic Engineering written by Liquan Xie and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-12 with Nature categories.
Hydraulic Engineering contains 56 technical papers from the 2012 SREE Conference on Hydraulic Engineering (CHE 2012, Hong Kong, 21-22 December 2012, including the second SREE Workshop on Environment and Safety, WESE 2012). The conference served as a major forum for researchers, engineers and manufacturers to share recent advances, discuss problems, and identify challenges associated with engineering applications in hydraulic engineering, and the contributions showcase recent developments in the areas of hydraulic engineering and environmental engineering. The sections on hydraulic engineering mainly focus on flood prediction and control, hydropower design and construction technology, water and environment, comprehensive water treatment, and urban water supply and drainage, while the contributions related to environmental issues focus on environmental prediction and control techniques in environmental geoscience, environmental ecology, atmospheric sciences, ocean engineering, safety engineering and environmental pollution control. Hydraulic Engineering will be invaluable to academics and professionals in both hydraulic and environmental engineering.
Progress In Multicriteria Decision Making Models
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Author : Jayanta Das
language : en
Publisher: Springer Nature
Release Date : 2025-06-14
Progress In Multicriteria Decision Making Models written by Jayanta Das and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-14 with Science categories.
This book offers a comprehensive exploration of Multicriteria Decision Making (MCDM) models, presenting a novel approach to hazard monitoring that enhances decision-making. Using advanced GIS techniques and integrating both subjective and objective models, this volume addresses the complex interdependencies of various risk factors. The chapters here explore how MCDM methods can be effectively applied to assess and manage risks associated with natural disasters and other hazards. They highlight various MCDM methodologies such as the Analytic Hierarchy Process (AHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and Multi-Attribute Utility Theory (MAUT), each offering unique approaches to complex decision problems. The significance of these methods lies in their ability to accommodate diverse preferences and handle uncertainties that are inherent in the monitoring and management of hazards. One of the central themes of the book is the holistic approach to hazard monitoring. This approach integrates various factors including hazard severity, the vulnerability of assets, and the likelihood of occurrence, economic implications, and societal impacts into a cohesive framework. This enables stakeholders to achieve a comprehensive understanding of hazards and their potential effects, facilitating more informed and robust decision-making. By showcasing applications across different domains such as disaster management, environmental risk assessment, urban planning, and infrastructure development, the book demonstrates the practical utility of MCDM in real-world settings. Each chapter provides detailed case studies and comparative analyses that illustrate how these methodologies can be applied to optimize hazard monitoring and risk assessment. This book is useful to academic researchers and students in the fields of geography, environmental science, and disaster management, as well as professionals and policymakers involved in hazard assessment and mitigation. It serves as an essential resource for anyone looking to enhance their understanding of multicriteria decision-making processes and their application in the context of hazard monitoring and risk management.
Treatise On Water Science
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Author :
language : en
Publisher: Newnes
Release Date : 2010-09-01
Treatise On Water Science written by and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-01 with Technology & Engineering categories.
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
Flood Forecasting Using Machine Learning Methods
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Author : Fi-John Chang
language : en
Publisher: MDPI
Release Date : 2019-02-28
Flood Forecasting Using Machine Learning Methods written by Fi-John Chang and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-28 with Technology & Engineering categories.
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.
Improving Flood Prediction Assimilating Uncertain Crowdsourced Data Into Hydrologic And Hydraulic Models
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Author : Maurizio Mazzoleni
language : en
Publisher: CRC Press
Release Date : 2017-03-16
Improving Flood Prediction Assimilating Uncertain Crowdsourced Data Into Hydrologic And Hydraulic Models written by Maurizio Mazzoleni and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-16 with Science categories.
In recent years, the continued technological advances have led to the spread of low-cost sensors and devices supporting crowdsourcing as a way to obtain observations of hydrological variables in a more distributed way than the classic static physical sensors. The main advantage of using these type of sensors is that they can be used not only by technicians but also by regular citizens. However, due to their relatively low reliability and varying accuracy in time and space, crowdsourced observations have not been widely integrated in hydrological and/or hydraulic models for flood forecasting applications. Instead, they have generally been used to validate model results against observations, in post-event analyses. This research aims to investigate the benefits of assimilating the crowdsourced observations, coming from a distributed network of heterogeneous physical and social (static and dynamic) sensors, within hydrological and hydraulic models, in order to improve flood forecasting. The results of this study demonstrate that crowdsourced observations can significantly improve flood prediction if properly integrated in hydrological and hydraulic models. This study provides technological support to citizen observatories of water, in which citizens not only can play an active role in information capturing, evaluation and communication, leading to improved model forecasts and better flood management.
Drought
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Author : Ana Iglesias
language : en
Publisher: John Wiley & Sons
Release Date : 2018-08-22
Drought written by Ana Iglesias and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-22 with Science categories.
Comprehensive coverage of understanding, prevention, and risk management of extreme drought events, with examples of approaches followed in water-stressed regions This book describes the progress made in our understanding of severe drought and explains how we can deal with—and even avoid—complete devastation brought on by such punishing events. It brings forward advanced knowledge on drought hazard analysis and management, particularly from EU-funded research projects, to assist in the development of the corresponding drought management plans. In addition, this book addresses issues of social vulnerability to drought and science-policy interfaces, which are important elements of drought management. Divided into three sections, this book covers the diagnosis of physical processes, historic drought and the trends in historic drought, and perspectives of future drought. It takes an academic approach to risk evaluation, including characterization of drought episodes, development of indicators of risk in hydrological and agricultural systems, and analysis of the role of socio-economic instruments for risk mitigation. It also discusses the interactions that have resulted in the complex institutional framework, and highlights the importance of stakeholder involvement and awareness building for successful drought management. In addition, Drought: Science and Policy features a collection of case studies that include the description of effective measures taken in the past. Addresses the growing issue of drought preparedness planning, monitoring, and mitigation Teaches methodologies and lessons focused on specific, drought-prone regions so the applications have more significance Provides examples of approaches followed in water-stressed regions (river basin and national scale) with drought analyses at the pan-European scale Drought: Science and Policy will be an invaluable reference for researchers and practitioners in the field as well as Masters students taking relevant courses in drought management and natural disaster management.
Hydrology And Hydrologic Modelling
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Author : Manish Pandey
language : en
Publisher: Springer Nature
Release Date : 2024-12-01
Hydrology And Hydrologic Modelling written by Manish Pandey and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-01 with Technology & Engineering categories.
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 hydrology and hydrological modelling. The book covers a range of topics including, but not limited to, groundwater modelling and management, integrated water resources and watershed management, surface water hydrology, drought assessment and mitigation, risk, reliability and design of hydrologic 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 hydrology and hydrological modelling, making it a valuable resource for researchers and professionals working in the fields of hydraulics, water resources and coastal engineering.
Research Handbook On Flood Risk Management
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Author : Jessica Lamond
language : en
Publisher: Edward Elgar Publishing
Release Date : 2024-04-12
Research Handbook On Flood Risk Management written by Jessica Lamond and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-12 with Technology & Engineering categories.
Pushing the boundaries of flood risk management research, this comprehensive Research Handbook presents pragmatic insights into all areas relating to flood risk. Through its use of dynamic and people-centred paradigms, it explores urban flood management within localities, properties, neighbourhoods and cities.
Handbook Of Hydroinformatics
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Author : Saeid Eslamian
language : en
Publisher: Elsevier
Release Date : 2022-12-06
Handbook Of Hydroinformatics written by Saeid Eslamian and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-06 with Technology & Engineering categories.
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.