Integrating Multiple Sources Of Information For Improving Hydrological Modelling An Ensemble Approach


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


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.



Integrating Multiple Sources Of Information For Improving Hydrological Modelling An Ensemble Approach


Integrating Multiple Sources Of Information For Improving Hydrological Modelling An Ensemble Approach
DOWNLOAD eBooks

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.



Treatise On Water Science


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


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.



Terrestrial Water Cycle And Climate Change


Terrestrial Water Cycle And Climate Change
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Author : Qiuhong Tang
language : en
Publisher: John Wiley & Sons
Release Date : 2016-08-11

Terrestrial Water Cycle And Climate Change written by Qiuhong Tang 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 2016-08-11 with Science categories.


The Terrestrial Water Cycle: Natural and Human-Induced Changes is a comprehensive volume that investigates the changes in the terrestrial water cycle and the natural and anthropogenic factors that cause these changes. This volume brings together recent progress and achievements in large-scale hydrological observations and numerical simulations, specifically in areas such as in situ measurement network, satellite remote sensing and hydrological modeling. Our goal is to extend and deepen our understanding of the changes in the terrestrial water cycle and to shed light on the mechanisms of the changes and their consequences in water resources and human well-being in the context of global change. Volume highlights include: Overview of the changes in the terrestrial water cycle Human alterations of the terrestrial water cycle Recent advances in hydrological measurement and observation Integrated modeling of the terrestrial water cycle The Terrestrial Water Cycle: Natural and Human-Induced Changes will be a valuable resource for students and professionals in the fields of hydrology, water resources, climate change, ecology, geophysics, and geographic sciences. The book will also be attractive to those who have general interests in the terrestrial water cycle, including how and why the cycle changes.



Handbook Of Hydroinformatics


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 Science 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.



Floods And Landslides Integrated Risk Assessment


Floods And Landslides Integrated Risk Assessment
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Author : Riccardo Casale
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Floods And Landslides Integrated Risk Assessment written by Riccardo Casale and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Nature categories.


A review of such natural disasters as floods and landslides, highlighting the possibility of safe and correct land planning and management by means of a global approach to territory. Since the events deriving from slope and fluvial dynamics are commonly triggered by the same factor, occur at the same time and are closely related, this book analyses floods and slope stability phenomena as different aspects of the same dynamic system: the drainage basin.



Improved Hydrological Understanding Of A Semi Arid Subtropical Transboundary Basin Using Multiple Techniques The Incomati River Basin


Improved Hydrological Understanding Of A Semi Arid Subtropical Transboundary Basin Using Multiple Techniques The Incomati River Basin
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Author : Saraiva Okello
language : en
Publisher: CRC Press
Release Date : 2019-05-13

Improved Hydrological Understanding Of A Semi Arid Subtropical Transboundary Basin Using Multiple Techniques The Incomati River Basin written by Saraiva Okello and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-13 with Science categories.


This study aims at improving the hydrological process understanding of the semi-arid and transboundary Incomati river basin to enable better water management. Comprehensive statistical and trend analysis of rainfall and streamflow were conducted, and the Indicators of Hydrological Alteration tool was deployed to describe the streamflow regime and trends over time. Land use and land cover change, particularly the conversion of natural vegetation into forest plantation, the expansion of irrigated agriculture and the flow regulation due to dam operation were identified as critical drivers of flow regime alteration. Hydrograph separation using long-term hydrochemical data at seasonal scale, and hydrochemical and isotope data at event scale were performed to quantify runoff components. A novel methodology to calibrate recursive digital filters using routinely collected water quality data was developed and tested in the catchment. This method allows for estimation of daily baseflow from readily available daily streamflow data. Dominant runoff generation zones were mapped using the Height Above Nearest Drainage approach. The hydrological model STREAM was then employed, informed by the runoff generation zones mapping and the process understanding gained in the catchment, as well as remote sensing data. The study provides the basis for better operational water management in the catchment.



Agu 2004 Joint Assembly


Agu 2004 Joint Assembly
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Author : American Geophysical Union. Joint Assembly
language : en
Publisher:
Release Date : 2004

Agu 2004 Joint Assembly written by American Geophysical Union. Joint Assembly and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Geochemistry categories.




Mathematical Models Of Small Watershed Hydrology And Applications


Mathematical Models Of Small Watershed Hydrology And Applications
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Author : Vijay P. Singh
language : en
Publisher: Water Resources Publication
Release Date : 2002

Mathematical Models Of Small Watershed Hydrology And Applications written by Vijay P. Singh and has been published by Water Resources Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Science categories.


Comprehensive account of some of the most popular models of small watershed hydrology and application ~~ of interest to all hydrologic modelers and model users and a welcome and timely edition to any modeling library