Distributed Hydrologic Model Parameterization
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Distributed Hydrologic Model Parameterization
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Author : Rohini Kumar
language : en
Publisher:
Release Date : 2010
Distributed Hydrologic Model Parameterization written by Rohini Kumar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Distributed Hydrologic Modeling Using Gis
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Author : Baxter E. Vieux
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14
Distributed Hydrologic Modeling Using Gis written by Baxter E. Vieux 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 2013-03-14 with Science categories.
During ten years serving with the USDA Soil Conservation Service (SCS), now known as the Natural Resources Conservation Service (NRCS), I became amazed at how millions of dollars in contract monies were spent based on simplistic hydrologic models. As project engineer in western Kansas, I was responsible for building flood control dams (authorized under Public Law 566) in the Wet Walnut River watershed. This watershed is within the Arkansas-Red River basin, as is the Illinois River basin referred to extensively in this book. After building nearly 18 of these structures, I became Assistant State Engineer in Michigan and, for a short time, State Engineer for NRCS. Again, we based our entire design and construction program on simplified relationships variously referred to as the SCS method. I recall announcing that I was going to pursue a doctoral degree and develop a new hydrologic model. One of my agency's chief engineers remarked, "Oh no, not another model!" Since then, I hope that I have not built just another model but have significantly advanced the state of hydrologic modeling for both researchers and practitioners. Using distributed hydrologic techniques described in this book, I also hope one day to forecast the response of the dams I built.
Weather Radar Information And Distributed Hydrological Modelling
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Author : Yasuto Tachikawa
language : en
Publisher:
Release Date : 2003
Weather Radar Information And Distributed Hydrological Modelling written by Yasuto Tachikawa and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Hydrologic models categories.
Distributed Hydrological Modelling
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Author : K. J. Beven
language : en
Publisher:
Release Date : 1997
Distributed Hydrological Modelling written by K. J. Beven and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.
The current popularity of the rainfall-runoff model Topmodel is a direct result of the widespread availability of catchment GIS systems and particularly of digital terrain maps. Water flows downhill, therefore topography must be hydrologically significant, therefore how can the digital terrain data be used in hydrological modelling to improve the realism of the predictions? There are not many choices available: Topmodel is one of them but the concepts on which it is based will not be applicable everywhere (see some of the papers in this volume). Indeed, one of the most important aspects of the use of Topmodel is the possibility of mapping the simulations back into space so that the distributed predictions can be compared with field observations. The experiences reported here in applications from around the world represent an excellent summary of the success and limitations of the concepts in a wide variety of environments. Topmodel was never intended to be a fixed model structure but rather a set of concepts that could be modified if required. As such it is important that the experiences of other uses can be gathered together and passed on.
Large Sample Basin Experiments For Hydrological Model Parameterization
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Author : Vazgēn Andrēasean
language : en
Publisher: International Assn of Hydrological Sciences
Release Date : 2006-01-01
Large Sample Basin Experiments For Hydrological Model Parameterization written by Vazgēn Andrēasean and has been published by International Assn of Hydrological Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-01 with Technology & Engineering categories.
Entropy Based Parameter Estimation In Hydrology
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Author : V.P. Singh
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17
Entropy Based Parameter Estimation In Hydrology written by V.P. Singh 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 2013-04-17 with Science categories.
Since the pioneering work of Shannon in the late 1940's on the development of the theory of entropy and the landmark contributions of Jaynes a decade later leading to the development of the principle of maximum entropy (POME), the concept of entropy has been increasingly applied in a wide spectrum of areas, including chemistry, electronics and communications engineering, data acquisition and storage and retreival, data monitoring network design, ecology, economics, environmental engineering, earth sciences, fluid mechanics, genetics, geology, geomorphology, geophysics, geotechnical engineering, hydraulics, hydrology, image processing, management sciences, operations research, pattern recognition and identification, photogrammetry, psychology, physics and quantum mechanics, reliability analysis, reservoir engineering, statistical mechanics, thermodynamics, topology, transportation engineering, turbulence modeling, and so on. New areas finding application of entropy have since continued to unfold. The entropy concept is indeed versatile and its applicability widespread. In the area of hydrology and water resources, a range of applications of entropy have been reported during the past three decades or so. This book focuses on parameter estimation using entropy for a number of distributions frequently used in hydrology. In the entropy-based parameter estimation the distribution parameters are expressed in terms of the given information, called constraints. Thus, the method lends itself to a physical interpretation of the parameters. Because the information to be specified usually constitutes sufficient statistics for the distribution under consideration, the entropy method provides a quantitative way to express the information contained in the distribution.
Considerations Involved In Evaluating Mathematical Modeling Of Urban Hydrologic Systems
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Author : David R. Dawdy
language : en
Publisher:
Release Date : 1969
Considerations Involved In Evaluating Mathematical Modeling Of Urban Hydrologic Systems written by David R. Dawdy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1969 with Hydrology categories.
Mathematical Models Of Large Watershed Hydrology
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Author : Vijay P. Singh
language : en
Publisher: Water Resources Publication
Release Date : 2002
Mathematical Models Of Large Watershed Hydrology 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 Nature categories.
Comprehensive account of some of the most popular models of large watershed hydrology ~~ of interest to all hydrologic modelers and model users and a welcome and timely edition to any modeling library
Flood Assessment
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Author : Eric W. Harmsen
language : en
Publisher: CRC Press
Release Date : 2017-12-22
Flood Assessment written by Eric W. Harmsen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-22 with Science categories.
About 7,000 people lose their lives and nearly 100 million people are adversely affected by floods each year worldwide. Flooding occurs in almost every part of the world and is the result of extreme rainfall. Severe flooding also costs billions of dollars each year in damage and economic losses. This new volume focuses on two detailed studies that employ physically based hydrologic models to predict flooding in the particularly challenging environment of small watersheds with mountainous terrain and high intensity/high variability rainfall.
Model Calibration And Parameter Estimation
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Author : Ne-Zheng Sun
language : en
Publisher: Springer
Release Date : 2015-07-01
Model Calibration And Parameter Estimation written by Ne-Zheng Sun and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-01 with Mathematics categories.
This three-part book provides a comprehensive and systematic introduction to these challenging topics such as model calibration, parameter estimation, reliability assessment, and data collection design. Part 1 covers the classical inverse problem for parameter estimation in both deterministic and statistical frameworks, Part 2 is dedicated to system identification, hyperparameter estimation, and model dimension reduction, and Part 3 considers how to collect data and construct reliable models for prediction and decision-making. For the first time, topics such as multiscale inversion, stochastic field parameterization, level set method, machine learning, global sensitivity analysis, data assimilation, model uncertainty quantification, robust design, and goal-oriented modeling, are systematically described and summarized in a single book from the perspective of model inversion, and elucidated with numerical examples from environmental and water resources modeling. Readers of this book will not only learn basic concepts and methods for simple parameter estimation, but also get familiar with advanced methods for modeling complex systems. Algorithms for mathematical tools used in this book, such as numerical optimization, automatic differentiation, adaptive parameterization, hierarchical Bayesian, metamodeling, Markov chain Monte Carlo, are covered in details. This book can be used as a reference for graduate and upper level undergraduate students majoring in environmental engineering, hydrology, and geosciences. It also serves as an essential reference book for professionals such as petroleum engineers, mining engineers, chemists, mechanical engineers, biologists, biology and medical engineering, applied mathematicians, and others who perform mathematical modeling.