Advances in Streamflow Forecasting
  • Release Date : 01 June 2021
  • Publisher : Elsevier
  • Categories : Science
  • Pages : 450 pages
  • ISBN 13 : 9780128209240
  • ISBN 10 : 0128209240
Score: 4
From 245 Ratings

Synopsis : Advances in Streamflow Forecasting written by Priyanka Sharma, published by Elsevier which was released on 01 June 2021. Download Advances in Streamflow Forecasting Books now! Available in PDF, EPUB, Mobi Format. 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