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Recent Advances in the Modeling of Hydrologic Systems

Recent Advances in the Modeling of Hydrologic Systems
Author: D.S Bowles
Publisher: Springer Science & Business Media
Total Pages: 654
Release: 2012-12-06
Genre: Science
ISBN: 9401134804
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Modeling of the rainfall-runoff process is of both scientific and practical significance. Many of the currently used mathematical models of hydrologic systems were developed a genera tion ago. Much of the effort since then has focused on refining these models rather than on developing new models based on improved scientific understanding. In the past few years, however, a renewed effort has been made to improve both our fundamental understanding of hydrologic processes and to exploit technological advances in computing and remote sensing. It is against this background that the NATO Advanced Study Institute on Recent Advances in the Modeling of Hydrologic Systems was organized. The idea for holding a NATO ASI on this topic grew out of an informal discussion between one of the co-directors and Professor Francisco Nunes-Correia at a previous NATO ASI held at Tucson, Arizona in 1985. The Special Program Panel on Global Transport Mechanisms in the Geo-Sciences of the NATO Scientific Affairs Division agreed to sponsor the ASI and an organizing committee was formed. The committee comprised the co directors, Professor David S. Bowles (U.S.A.) and Professor P. Enda O'Connell (U.K.), and Professor Francisco Nunes-Correia (Portugal), Dr. Donn G. DeCoursey (U.S.A.), and Professor Ezio Todini (Italy).

Advances In Data-based Approaches For Hydrologic Modeling And Forecasting

Advances In Data-based Approaches For Hydrologic Modeling And Forecasting
Author: Bellie Sivakumar
Publisher: World Scientific
Total Pages: 542
Release: 2010-08-10
Genre: Science
ISBN: 9814464759
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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.

Hydrological Modeling

Hydrological Modeling
Author: Ramakar Jha
Publisher: Springer Nature
Total Pages: 517
Release: 2022-02-05
Genre: Science
ISBN: 3030813584
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This book carefully considers hydrological models which are essential for predicting floods, droughts, soil moisture estimation, land use change detection, geomorphology and water structures. The book highlights recent advances in the area of hydrological modelling in the Ganga Basin and other internationally important river basins. The impact of climate change on water resources is a global concern. Water resources in many countries are already stressed, and climate change along with burgeoning population, rising standard of living and increasing demand are adding to the stress. Furthermore, river basins are becoming less resilient to climatic vagaries. Fundamental to addressing these issues is hydrological modelling which is covered in this book. Integrated water resources management is vital to ensure water and food security. Integral to the management is groundwater and solute transport, and this book encompasses tools that will be useful to mitigate the adverse consequences of natural disasters.

Hydrological Data Driven Modelling

Hydrological Data Driven Modelling
Author: Renji Remesan
Publisher: Springer
Total Pages: 261
Release: 2014-11-03
Genre: Science
ISBN: 3319092359
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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.

Hydrology and Hydrologic Modelling

Hydrology and Hydrologic Modelling
Author: P. V. Timbadiya
Publisher: Springer Nature
Total Pages: 551
Release: 2023-05-01
Genre: Science
ISBN: 9811991472
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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 hydrology and hydrological modelling. It covers a range of topics, including, but not limited to, ground water modelling and management, integrated water resources and watershed management, surface water hydrology, drought assessment and mitigation, risk, reliability and design of hydrologic system, 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 hydrology and hydrological modelling, making it a valuable resource for both beginners and researchers wanting to further their understanding of hydraulics, water resources and coastal engineering.

Hillslope Hydrology

Hillslope Hydrology
Author: M. J. Kirkby
Publisher: John Wiley & Sons
Total Pages: 416
Release: 1978
Genre: Science
ISBN:
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A complete guide to the behavior of water on graded land Hillslope Hydrology provides a comprehensive introduction to the behavior of water on a slope. Describing the fates of precipitation, the mechanics of runoff, and the calculations involved in assessment, this book clarifies the complex interplay of soils, sediment, subsurface flow, overland flow, saturation, erosion, and more. An ideal resource for graduate students of Earth science, environmental science, civil engineering, architecture, landscape management, and related fields, this informative guide provides the essential information needed to work effectively with graded land or predict outcomes of precipitation.

Hydrologic Modeling

Hydrologic Modeling
Author: Vijay P Singh
Publisher: Springer
Total Pages: 718
Release: 2018-01-19
Genre: Science
ISBN: 9811058016
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This book contains seven parts. The first part deals with some aspects of rainfall analysis, including rainfall probability distribution, local rainfall interception, and analysis for reservoir release. Part 2 is on evapotranspiration and discusses development of neural network models, errors, and sensitivity. Part 3 focuses on various aspects of urban runoff, including hydrologic impacts, storm water management, and drainage systems. Part 4 deals with soil erosion and sediment, covering mineralogical composition, geostatistical analysis, land use impacts, and land use mapping. Part 5 treats remote sensing and geographic information system (GIS) applications to different hydrologic problems. Watershed runoff and floods are discussed in Part 6, encompassing hydraulic, experimental, and theoretical aspects. Water modeling constitutes the concluding Part 7. Soil and Water Assessment Tool (SWAT), Xinanjiang, and Soil Conservation Service-Curve Number (SCS-CN) models are discussed. The book is of interest to researchers and practitioners in the field of water resources, hydrology, environmental resources, agricultural engineering, watershed management, earth sciences, as well as those engaged in natural resources planning and management. Graduate students and those wishing to conduct further research in water and environment and their development and management find the book to be of value.

Advanced Hydroinformatics

Advanced Hydroinformatics
Author: Gerald A. Corzo Perez
Publisher: John Wiley & Sons
Total Pages: 483
Release: 2023-12-19
Genre: Science
ISBN: 111963931X
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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.