Hydrological Processes Modelling and Data Analysis

Hydrological Processes Modelling and Data Analysis PDF Author: Vijay P. Singh
Publisher: Springer Nature
ISBN: 9819713161
Category :
Languages : en
Pages : 298

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Hydrological Processes Modelling and Data Analysis

Hydrological Processes Modelling and Data Analysis PDF Author: Vijay P. Singh
Publisher: Springer Nature
ISBN: 9819713161
Category :
Languages : en
Pages : 298

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Book Description


Hydrological Data Driven Modelling

Hydrological Data Driven Modelling PDF Author: Renji Remesan
Publisher: Springer
ISBN: 3319092359
Category : Science
Languages : en
Pages : 250

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Book Description
This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space.

Statistical Analysis of Hydrologic Variables

Statistical Analysis of Hydrologic Variables PDF Author: Ramesh S. V. Teegavarapu
Publisher:
ISBN: 9780784415177
Category : Groundwater flow
Languages : en
Pages : 1022

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Book Description
This book provides a compilation of statistical analysis methods used to analyze and assess critical variables in the hydrological cycle.

Advances in Data-Based Approaches for Hydrologic Modeling and Forecasting

Advances in Data-Based Approaches for Hydrologic Modeling and Forecasting PDF Author:
Publisher:
ISBN: 9814464759
Category :
Languages : en
Pages :

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Statistical Analysis and Stochastic Modelling of Hydrological Extremes

Statistical Analysis and Stochastic Modelling of Hydrological Extremes PDF Author: Hossein Tabari
Publisher: MDPI
ISBN: 3039216643
Category : Science
Languages : en
Pages : 294

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Book Description
Hydrological extremes have become a major concern because of their devastating consequences and their increased risk as a result of climate change and the growing concentration of people and infrastructure in high-risk zones. The analysis of hydrological extremes is challenging due to their rarity and small sample size, and the interconnections between different types of extremes and becomes further complicated by the untrustworthy representation of meso-scale processes involved in extreme events by coarse spatial and temporal scale models as well as biased or missing observations due to technical difficulties during extreme conditions. The complexity of analyzing hydrological extremes calls for robust statistical methods for the treatment of such events. This Special Issue is motivated by the need to apply and develop innovative stochastic and statistical approaches to analyze hydrological extremes under current and future climate conditions. The papers of this Special Issue focus on six topics associated with hydrological extremes: Historical changes in hydrological extremes; Projected changes in hydrological extremes; Downscaling of hydrological extremes; Early warning and forecasting systems for drought and flood; Interconnections of hydrological extremes; Applicability of satellite data for hydrological studies.

Hydrology

Hydrology PDF Author: Arved J. Raudkivi
Publisher: Elsevier
ISBN: 1483135977
Category : Science
Languages : en
Pages : 495

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Book Description
Hydrology: An Advanced Introduction to Hydrological Processes and Modelling introduces the reader to hydrological processes and methods of estimation of the various quantities involved. Topics covered range from elements of meteorology to precipitation, evaporation and transpiration, interception, and flood routing. Extreme events, design flood, and small catchment runoff are also discussed. This book is comprised of 12 chapters and begins with an overview of hydrology and the hydrologic cycle, along with the world's water resources and their utilization and management. Subsequent chapters deal with atmospheric thermodynamics and atmospheric circulation; analysis and measurement of precipitation, evaporation, transpiration, and interception; infiltration of groundwater; and reservoir and stream routing. Storage for flood control and regulation for abatement of water shortage are also considered, along with stratification and siltation of reservoirs, catchment yield, and sediment yield and transport. The final chapter highlights the importance of information analysis and decision making in hydrological work. This monograph is written for senior and postgraduate students and should also be of value to practitioners of physics, mathematics, and civil engineering.

Advances in Data-based Approaches for Hydrologic Modeling and Forecasting

Advances in Data-based Approaches for Hydrologic Modeling and Forecasting PDF Author: Bellie Sivakumar
Publisher: World Scientific
ISBN: 9814307971
Category : Science
Languages : en
Pages : 542

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Book Description
This book comprehensively accounts the advances in data-based approaches for hydrologic modeling and forecasting. Eight major and most popular approaches are selected, with a chapter for each stochastic methods, parameter estimation techniques, scaling and fractal methods, remote sensing, artificial neural networks, evolutionary computing, wavelets, and nonlinear dynamics and chaos methods. These approaches are chosen to address a wide range of hydrologic system characteristics, processes, and the associated problems. Each of these eight approaches includes a comprehensive review of the fundamental concepts, their applications in hydrology, and a discussion on potential future directions.

Stochastic Hydrology and its Use in Water Resources Systems Simulation and Optimization

Stochastic Hydrology and its Use in Water Resources Systems Simulation and Optimization PDF Author: J.B. Marco
Publisher: Springer Science & Business Media
ISBN: 9401116970
Category : Science
Languages : en
Pages : 470

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Book Description
Stochastic hydrology is an essential base of water resources systems analysis, due to the inherent randomness of the input, and consequently of the results. These results have to be incorporated in a decision-making process regarding the planning and management of water systems. It is through this application that stochastic hydrology finds its true meaning, otherwise it becomes merely an academic exercise. A set of well known specialists from both stochastic hydrology and water resources systems present a synthesis of the actual knowledge currently used in real-world planning and management. The book is intended for both practitioners and researchers who are willing to apply advanced approaches for incorporating hydrological randomness and uncertainty into the simulation and optimization of water resources systems. (abstract) Stochastic hydrology is a basic tool for water resources systems analysis, due to inherent randomness of the hydrologic cycle. This book contains actual techniques in use for water resources planning and management, incorporating randomness into the decision making process. Optimization and simulation, the classical systems-analysis technologies, are revisited under up-to-date statistical hydrology findings backed by real world applications.

Engineering Hydrology: An Introduction to Processes, Analysis, and Modeling

Engineering Hydrology: An Introduction to Processes, Analysis, and Modeling PDF Author: Sharad K. Jain
Publisher: McGraw Hill Professional
ISBN: 1259641988
Category : Technology & Engineering
Languages : en
Pages : 625

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Book Description
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Understand the fundamentals, methods, and processes of modern hydrology This comprehensive engineering textbook offers a thorough overview of all aspects of hydrology and shows how to apply hydrologic principles for effective management of water resources. It presents detailed explanations of scientific principles along with real-world applications and technologies. Engineering Hydrology: An Introduction to Processes, Analysis, and Modeling follows a logical progression that builds on foundational concepts with modern hydrologic methods. Every hydrologic process is clearly explained along with current techniques for modeling and analyzing data. You will get practice problems throughout that help reinforce important concepts. Coverage includes: •The hydrologic cycle •Water balance •Components of the hydrologic cycle •Evapotranspiration •Infiltration and soil moisture •Surface water •Groundwater •Water quality •Hydrologic measurements •Streamflow measurement •Remote sensing and geographic information systems •Hydrologic analysis and modeling •Unit hydrograph models •River flow modeling •Design storm and design flood estimation •Environmental flows •Impact of climate change on water management

Hydrological Modelling and the Water Cycle

Hydrological Modelling and the Water Cycle PDF Author: Soroosh Sorooshian
Publisher: Springer Science & Business Media
ISBN: 3540778438
Category : Science
Languages : en
Pages : 294

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Book Description
This volume is a collection of a selected number of articles based on presentations at the 2005 L’Aquila (Italy) Summer School on the topic of “Hydrologic Modeling and Water Cycle: Coupling of the Atmosphere and Hydrological Models”. The p- mary focus of this volume is on hydrologic modeling and their data requirements, especially precipitation. As the eld of hydrologic modeling is experiencing rapid development and transition to application of distributed models, many challenges including overcoming the requirements of compatible observations of inputs and outputs must be addressed. A number of papers address the recent advances in the State-of-the-art distributed precipitation estimation from satellites. A number of articles address the issues related to the data merging and use of geo-statistical techniques for addressing data limitations at spatial resolutions to capture the h- erogeneity of physical processes. The participants at the School came from diverse backgrounds and the level of - terest and active involvement in the discussions clearly demonstrated the importance the scienti c community places on challenges related to the coupling of atmospheric and hydrologic models. Along with my colleagues Dr. Erika Coppola and Dr. Kuolin Hsu, co-directors of the School, we greatly appreciate the invited lectures and all the participants. The members of the local organizing committee, Drs Barbara Tomassetti; Marco Verdecchia and Guido Visconti were instrumental in the success of the school and their contributions, both scienti cally and organizationally are much appreciated.