River Flow Modelling And Forecasting PDF Download
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Author | : D.A. Kraijenhoff |
Publisher | : Springer Science & Business Media |
Total Pages | : 375 |
Release | : 2012-12-06 |
Genre | : Science |
ISBN | : 9400945361 |
Download River Flow Modelling and Forecasting Book in PDF, ePub and Kindle
Advances in computer technology, in the technology of communication and in mathematical modelling of processes in the hydrological cycle have recently improved our potential to protect ourselves against damage through floods and droughts and to control quantities and qualities in our water systems. This development was demonstrated in a 1983 post-experience course at Wageningen University where an international group of experts reviewed successful modelling techniques and described the design and operation of a number of forecasting and control systems in drainage basins and river reaches of various sizes and under various geographical and climat ological conditions. A special effort was made to bridge the gap between theory and practice; case studies showed that each forecasting system was designed to meet a set of specific requirements and they illustrated that the forecasting system can only be expected to operate reliably if, on the one hand, it is based on sound theoretical concepts and methods and if, on the other hand, it is robust so that, also under adverse conditions, it will continue to collect and process the necessary input data and produce correct and timely signals. We were pleased to meet with encouragement for preserving the course material and making it available to a wider public. This was effected by the team of authorf who elaborated, updated and harmonized the materia in two stages; first into an issue of our university department and finally into the manuscript of this book.
Author | : P. G. Katz |
Publisher | : |
Total Pages | : 234 |
Release | : 1980 |
Genre | : Green River Watershed (Ky.) |
ISBN | : |
Download Green River Basin River Flow Forecasting Models Book in PDF, ePub and Kindle
Author | : Bellie Sivakumar |
Publisher | : World Scientific |
Total Pages | : 542 |
Release | : 2010-08-10 |
Genre | : Science |
ISBN | : 9814464759 |
Download Advances In Data-based Approaches For Hydrologic Modeling And Forecasting Book in PDF, ePub and Kindle
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 | : |
Publisher | : |
Total Pages | : 60 |
Release | : 2005 |
Genre | : Stream measurements |
ISBN | : |
Download An Analysis of Statistical Methods for Seasonal Flow Forecasting in the Upper Klamath River Basin of Oregon and California Book in PDF, ePub and Kindle
Author | : J E. Nash |
Publisher | : |
Total Pages | : |
Release | : 1970 |
Genre | : |
ISBN | : |
Download River flow forecasting through conceptual models Book in PDF, ePub and Kindle
Author | : Institute of Hydrology (Great Britain) |
Publisher | : |
Total Pages | : |
Release | : 1992 |
Genre | : |
ISBN | : |
Download River Flow Forecasting System Book in PDF, ePub and Kindle
Author | : Priyanka Sharma |
Publisher | : Elsevier |
Total Pages | : 404 |
Release | : 2021-06-20 |
Genre | : Science |
ISBN | : 0128209240 |
Download Advances in Streamflow Forecasting Book in PDF, ePub and Kindle
Advances in Streamflow Forecasting: From Traditional to Modern Approaches covers the three major data-driven approaches of streamflow forecasting including traditional approach of statistical and stochastic time-series modelling with their recent developments, stand-alone data-driven approach such as artificial intelligence techniques, and modern hybridized approach where data-driven models are combined with preprocessing methods to improve the forecast accuracy of streamflows and to reduce the forecast uncertainties. This book starts by providing the background information, overview, and advances made in streamflow forecasting. The overview portrays the progress made in the field of streamflow forecasting over the decades. Thereafter, chapters describe theoretical methodology of the different data-driven tools and techniques used for streamflow forecasting along with case studies from different parts of the world. Each chapter provides a flowchart explaining step-by-step methodology followed in applying the data-driven approach in streamflow forecasting. This book addresses challenges in forecasting streamflows by abridging the gaps between theory and practice through amalgamation of theoretical descriptions of the data-driven techniques and systematic demonstration of procedures used in applying the techniques. Language of this book is kept simple to make the readers understand easily about different techniques and make them capable enough to straightforward replicate the approach in other areas of their interest. This book will be vital for hydrologists when optimizing the water resources system, and to mitigate the impact of destructive natural disasters such as floods and droughts by implementing long-term planning (structural and nonstructural measures), and short-term emergency warning. Moreover, this book will guide the readers in choosing an appropriate technique for streamflow forecasting depending upon the given set of conditions. Contributions from renowned researchers/experts of the subject from all over the world to provide the most authoritative outlook on streamflow forecasting Provides an excellent overview and advances made in streamflow forecasting over the past more than five decades and covers both traditional and modern data-driven approaches in streamflow forecasting Includes case studies along with detailed flowcharts demonstrating a systematic application of different data-driven models in streamflow forecasting, which helps understand the step-by-step procedures
Author | : Anne B. Hoos |
Publisher | : |
Total Pages | : 408 |
Release | : 1985 |
Genre | : Flood forecasting |
ISBN | : |
Download A Real Time Stochastic Nonlinear Model for River Flow Forecasting Book in PDF, ePub and Kindle
Author | : Badrzadeh Honey |
Publisher | : LAP Lambert Academic Publishing |
Total Pages | : 224 |
Release | : 2015-05-26 |
Genre | : |
ISBN | : 9783659714580 |
Download Application of Computational Intelligence in River Flow Forecasting Book in PDF, ePub and Kindle
Reliable river flow forecasting is a key element in achieving sustainable water resources and environmental management. Accurate short term and long term river flow forecasts are particularly essential for the design of hydraulic structures, flood and drought analysis, irrigation scheduling, reservoir operation and environmental planning. Due to stochastic characteristics of hydrological events, forecasting the future condition of surface water is always associated with uncertainty. In this work an attempt is made to develop highly accurate river flow forecasting models. Wavelet multi-resolution analysis is applied in conjunction with various types and structure of computational intelligence models. Research outcomes indicate that forecasting reliability is significantly improved by applying proposed hybrid models, especially for longer lead time and peak values.
Author | : Donald Knight |
Publisher | : CRC Press |
Total Pages | : 626 |
Release | : 2005-11-17 |
Genre | : Technology & Engineering |
ISBN | : 9781439824702 |
Download River Basin Modelling for Flood Risk Mitigation Book in PDF, ePub and Kindle
Flooding accounts for one-third of natural disasters worldwide and for over half the deaths which occur as a result of natural disasters. As the frequency and volume of flooding increases, as a result of climate change, there is a new urgency amongst researchers and professionals working in flood risk management. River Basin Modelling for Flood Risk Mitigation brings together thirty edited papers by leading experts who gathered for the European Union’s Advanced Study Course at the University of Birmingham, UK. The scope of the course ranged from issues concerning the protection of life, to river restoration and wetland management. A variety of topics is covered in the book including climate change, hydro-informatics, hydro-meterology, river flow forecasting systems and dam-break modelling. The approach is broad, but integrated, providing an attractive and informative package that will satisfy researchers and professionals, while offering a sound introduction to students in Engineering and Geography.