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Advances in Streamflow Forecasting

Advances in Streamflow Forecasting
  • Author : Priyanka Sharma
  • Publsiher : Elsevier
  • Release : 01 June 2021
  • ISBN : 0128209240
  • Pages : 450 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKAdvances in Streamflow Forecasting

Summary:
Advances in Streamflow Forecasting: From Traditional to Modern Approaches covers the three major approaches of streamflow forecasting, including traditional methods such as stochastic time-series modeling, data-driven techniques, and modern techniques of hybrid methods. The book starts by providing background information and an overview of streamflow forecasting. The book concludes with a suggested way forward, looking ahead to future needs and challenges in further strengthening streamflow forecasting. This book is a vital resource for hydrologists optimizing water resource systems to mitigate the impact of destructive natural disasters, such as floods and droughts. Subsequent chapters describe various parametric stochastic-modeling methods such as auto-regressive moving average (ARMA), auto-regressive integrated moving average (ARIMA), seasonal auto-regressive integrated moving average (SARIMA), de-seasonalized auto-regressive integrated moving average (DARIMA), periodic auto-regressive moving average (PARMA) for simulation and forecasting the streamflow time series. It also includes the comparison of parametric methods to evaluate the best-fitted model for streamflow forecasting, and much more. Provides the most authoritative outlook on stream forecasting for both flood and drought Covers all available methods of streamflow forecasting methods used in the literature and guides the audience to the best method and tool for them Includes multiple case studies (at least one for every method in each chapter) demonstrating the application of each method


Advances in Streamflow Forecasting

Advances in Streamflow Forecasting
  • Author : Priyanka Sharma,Deepesh Machiwal
  • Publisher : Elsevier
  • Release : 01 June 2021
GET THIS BOOKAdvances in Streamflow Forecasting

Advances in Streamflow Forecasting: From Traditional to Modern Approaches covers the three major approaches of streamflow forecasting, including traditional methods such as stochastic time-series modeling, data-driven techniques, and modern techniques of hybrid methods. The book starts by providing background information and an overview of streamflow forecasting. The book concludes with a suggested way forward, looking ahead to future needs and challenges in further strengthening streamflow forecasting. This book is a vital resource for hydrologists optimizing water resource systems to mitigate


Advances in Hydrologic Forecasts and Water Resources Management

Advances in Hydrologic Forecasts and Water Resources Management
  • Author : Fi-John Chang,Shenglian Guo
  • Publisher : MDPI
  • Release : 20 January 2021
GET THIS BOOKAdvances in Hydrologic Forecasts and Water Resources Management

The impacts of climate change on water resource management, as well as increasingly severe natural disasters over the last decades, have caught global attention. Reliable and accurate hydrological forecasts are essential for efficient water resource management and the mitigation of natural disasters. While the notorious nonlinear hydrological processes make accurate forecasts a very challenging task, it requires advanced techniques to build accurate forecast models and reliable management systems. One of the newest techniques for modeling complex systems is artificial intelligence (


Advances in Water Resources Management

Advances in Water Resources Management
  • Author : Lawrence K. Wang,Chih Ted Yang,Mu-Hao S. Wang
  • Publisher : Springer
  • Release : 16 December 2015
GET THIS BOOKAdvances in Water Resources Management

This volume provides in-depth coverage of such topics as multi-reservoir system operation theory and practice, management of aquifer systems connected to streams using semi-analytical models, one-dimensional model of water quality and aquatic ecosystem-ecotoxicology in river systems, environmental and health impacts of hydraulic fracturing and shale gas, bioaugmentation for water resources protection, wastewater renovation by flotation for water pollution control, determination of receiving water’s reaeration coefficient in the presence of salinity for water quality management, sensitivity analysis for stream water


Advances in Data-based Approaches for Hydrologic Modeling and Forecasting

Advances in Data-based Approaches for Hydrologic Modeling and Forecasting
  • Author : Bellie Sivakumar,Ronny Berndtsson
  • Publisher : World Scientific
  • Release : 26 February 2021
GET THIS BOOKAdvances in Data-based Approaches for Hydrologic Modeling and Forecasting

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


Advances in Hydroinformatics

Advances in Hydroinformatics
  • Author : Philippe Gourbesville,Jean A. Cunge,Guy Caignaert
  • Publisher : Springer
  • Release : 21 August 2015
GET THIS BOOKAdvances in Hydroinformatics

This book is a collection of extended papers based on presentations given during the SIMHYDRO 2014 conference, held in Sophia Antipolis in June 2014. It focuses on the modeling and simulation of fast hydraulic transients, on 3D modeling, and on uncertainties and multiphase flows. The book explores both the limitations and performance of current models and presents the latest developments based on new numerical schemes, high-performance computing, multiphysics and multiscale methods, and better interaction with field or scale model data. It addresses







River Flow Modelling and Forecasting

River Flow Modelling and Forecasting
  • Author : D.A. Kraijenhoff,J.R. Moll
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKRiver Flow Modelling and Forecasting

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




Assessing the National Streamflow Information Program

Assessing the National Streamflow Information Program
  • Author : National Research Council,Division on Earth and Life Studies,Water Science and Technology Board,Committee on Review of the USGS National Streamflow Information Program
  • Publisher : National Academies Press
  • Release : 19 September 2004
GET THIS BOOKAssessing the National Streamflow Information Program

From warning the public of impending floods to settling legal arguments over water rights, the measurement of streamflow (“streamgagingâ€) plays a vital role in our society. Having good information about how much water is moving through our streams helps provide citizens with drinking water during droughts, control water pollution, and protect wildlife along our stream corridors. The U.S. Geological Survey’s (USGS) streamgaging program provides such information to a wide variety of users interested in human safety, recreation, water