Modeling Of Monthly Intermittent Streamflow Processes
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Modeling Of Monthly Intermittent Streamflow Processes
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Author : DIANE Publishing Company
language : en
Publisher: DIANE Publishing
Release Date : 1993-06
Modeling Of Monthly Intermittent Streamflow Processes written by DIANE Publishing Company and has been published by DIANE Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-06 with Science categories.
Discusses the analysis of water availability in the form of streamflow, which is extremely important for planning and management of water resources, especially in arid and semiarid areas of the world. Graphs and tables.
Modeling Of Monthly Intermittent Streamflow Processes
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Author : Mohamed Chebaane
language : en
Publisher:
Release Date : 1992
Modeling Of Monthly Intermittent Streamflow Processes written by Mohamed Chebaane and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Arid regions categories.
Stochastic Hydrology And Its Use In Water Resources Systems Simulation And Optimization
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Author : J.B. Marco
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Stochastic Hydrology And Its Use In Water Resources Systems Simulation And Optimization written by J.B. Marco 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 2012-12-06 with Science categories.
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.
Advances In Data Based Approaches For Hydrologic Modeling And Forecasting
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Author : Bellie Sivakumar
language : en
Publisher: World Scientific
Release Date : 2010-08-10
Advances In Data Based Approaches For Hydrologic Modeling And Forecasting written by Bellie Sivakumar and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-10 with Science categories.
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.
Hydraulics Hydrology Of Arid Lands H2al
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Author : Richard H. French
language : en
Publisher:
Release Date : 1990
Hydraulics Hydrology Of Arid Lands H2al written by Richard H. French and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Science categories.
This collection contains 127 papers on hydraulics and hydrology related to arid regions presented at the International Symposium on the Hydraulics and Hydrology of Arid Lands, held in San Diego, California, July 30-August 3, 1990.
Artificial Neural Network Modelling
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Author : Subana Shanmuganathan
language : en
Publisher: Springer
Release Date : 2016-02-03
Artificial Neural Network Modelling written by Subana Shanmuganathan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-03 with Technology & Engineering categories.
This book covers theoretical aspects as well as recent innovative applications of Artificial Neural networks (ANNs) in natural, environmental, biological, social, industrial and automated systems. It presents recent results of ANNs in modelling small, large and complex systems under three categories, namely, 1) Networks, Structure Optimisation, Robustness and Stochasticity 2) Advances in Modelling Biological and Environmental Systems and 3) Advances in Modelling Social and Economic Systems. The book aims at serving undergraduates, postgraduates and researchers in ANN computational modelling.
Stochastic Modeling Of Hydrologic Intermittent Daily Processes
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Author : Jerson Kelman
language : en
Publisher:
Release Date : 1977
Stochastic Modeling Of Hydrologic Intermittent Daily Processes written by Jerson Kelman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Hydrodynamics categories.
Advances In Streamflow Forecasting
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Author : Priyanka Sharma
language : en
Publisher: Elsevier
Release Date : 2021-06-20
Advances In Streamflow Forecasting written by Priyanka Sharma and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-20 with Science categories.
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
Simulation Of Net Infiltration And Potential Recharge Using A Distributed Parameter Watershed Model Of The Death Valley Region Nevada And California
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Author :
language : en
Publisher: DIANE Publishing
Release Date :
Simulation Of Net Infiltration And Potential Recharge Using A Distributed Parameter Watershed Model Of The Death Valley Region Nevada And California written by and has been published by DIANE Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Handbook Of Neural Computation
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Author : Pijush Samui
language : en
Publisher: Academic Press
Release Date : 2017-07-18
Handbook Of Neural Computation written by Pijush Samui and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-18 with Technology & Engineering categories.
Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world. Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction, classification of images, analysis of big data, and intelligent decision-making, this book provides readers with the latest, cutting-edge research in one comprehensive text. - Features high-quality research articles on multivariate adaptive regression splines, the minimax probability machine, and more - Discusses machine learning techniques, including classification, clustering, regression, web mining, information retrieval and natural language processing - Covers supervised, unsupervised, reinforced, ensemble, and nature-inspired learning methods