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Author : Vijay P. Singh
Publisher : Springer Nature
Page : 298 pages
File Size : 48,6 Mb
Release : 2024-05-26
Category : Electronic
ISBN : 9789819713165
Author : Renji Remesan,Jimson Mathew
Publisher : Springer
Page : 250 pages
File Size : 54,7 Mb
Release : 2014-11-03
Category : Science
ISBN : 9783319092355
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.
Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 54,5 Mb
Release : 2024-05-26
Category : Electronic
ISBN : 9789814464758
Author : Arved J. Raudkivi
Publisher : Elsevier
Page : 492 pages
File Size : 46,5 Mb
Release : 2013-10-22
Category : Science
ISBN : 9781483135977
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.
Author : Sharad K. Jain,Vijay P. Singh
Publisher : McGraw Hill Professional
Page : 625 pages
File Size : 42,8 Mb
Release : 2019-03-08
Category : Technology & Engineering
ISBN : 9781259641985
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
Author : Ramesh S. V. Teegavarapu,Jose D. Salas,Jery R. Stedinger
Publisher : Unknown
Page : 1022 pages
File Size : 43,6 Mb
Release : 2019
Category : Groundwater flow
ISBN : 078441517X
This book provides a compilation of statistical analysis methods used to analyze and assess critical variables in the hydrological cycle.
Author : Bellie Sivakumar,Ronny Berndtsson
Publisher : World Scientific
Page : 542 pages
File Size : 46,5 Mb
Release : 2010
Category : Science
ISBN : 9789814307970
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.
Author : Hossein Tabari
Publisher : MDPI
Page : 294 pages
File Size : 53,7 Mb
Release : 2019-10-28
Category : Science
ISBN : 9783039216642
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.
Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 53,6 Mb
Release : 1995
Category : Hydraulic models
ISBN : MINN:31951D01531991W
Author : Renji Remesan,Jimson Mathew
Publisher : Springer
Page : 0 pages
File Size : 55,8 Mb
Release : 2016-08-23
Category : Science
ISBN : 3319350285
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.
Author : K. J. Beven,Ian D. Moore
Publisher : Unknown
Page : 249 pages
File Size : 45,7 Mb
Release : 1995
Category : Electronic
ISBN : OCLC:610354084
Author : Richard H. McCuen,Willard M. Snyder
Publisher : Prentice Hall
Page : 614 pages
File Size : 50,9 Mb
Release : 1986
Category : Science
ISBN : UOM:39015029771667
Author : Shailesh Kumar Singh,C.T. Dhanya
Publisher : Springer
Page : 253 pages
File Size : 48,9 Mb
Release : 2019-02-18
Category : Science
ISBN : 9783030021979
This book offers a comprehensive overview of the challenges in hydrological modeling. Hydrology, on both a local and global scale, has undergone dramatic changes, largely due to variations in climate, population growth and the associated land-use and land-cover changes. Written by experts in the field, the book provides decision-makers with a better understanding of the science, impacts, and consequences of these climate and land-use changes on hydrology. Further, offering insights into how the changing behavior of hydrological processes, related uncertainties and their evolution affect the modeling process, it is of interest for all researchers and practitioners using hydrological modeling.
Author : Baxter E. Vieux
Publisher : Springer
Page : 262 pages
File Size : 53,8 Mb
Release : 2016-08-19
Category : Science
ISBN : 9789402409307
This book presents a unified approach for modeling hydrologic processes distributed in space and time using geographic information systems (GIS). This Third Edition focuses on the principles of implementing a distributed model using geospatial data to simulate hydrologic processes in urban, rural and peri-urban watersheds. The author describes fully distributed representations of hydrologic processes, where physics is the basis for modeling, and geospatial data forms the cornerstone of parameter and process representation. A physics-based approach involves conservation laws that govern the movement of water, ranging from precipitation over a river basin to flow in a river. Global geospatial data have become readily available in GIS format, and a modeling approach that can utilize this data for hydrology offers numerous possibilities. GIS data formats, spatial interpolation and resolution have important effects on the hydrologic simulation of the major hydrologic components of a watershed, and the book provides examples illustrating how to represent a watershed with spatially distributed data along with the many pitfalls inherent in such an undertaking. Since the First and Second Editions, software development and applications have created a richer set of examples, and a deeper understanding of how to perform distributed hydrologic analysis and prediction. This Third Edition describes the development of geospatial data for use in Vflo® physics-based distributed modeling.
Author : Neven Kresic,Alex Mikszewski
Publisher : CRC Press
Page : 600 pages
File Size : 50,8 Mb
Release : 2012-07-30
Category : Science
ISBN : 9781439852286
A reference for students, researchers, and environmental professionals, Hydrogeological Conceptual Site Models: Data Analysis and Visualization explains how to develop effective conceptual site models, perform advanced spatial data analysis, and generate informative graphics for applications in hydrogeology and groundwater remediation. Written by e