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Book synopsis

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 the background information and overview of streamflow forecasting. Chapters 2-5 describe various parametric stochastic-modelling 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. Chapters 6-13 explain the advance stage of development and verification of streamflow forecasting models involving artificial intelligence methods. In this section, brief theoretical details and applications of non-parametric methods such as multiple linear regression, Thomas-Fiering model, wavelet analysis, support vector machine (SVM), genetic algorithm (GA), artificial neural network (ANN), adaptive neuro fuzzy inference system (ANFIS) are illustrated, and comparisons between parametric methods such as stochastic models and non-parametric or artificial intelligence methods are considered .Finally, Chapters 14-17 include the recent hybrid approaches used to improve the forecast accuracy, and to reduce the uncertainties in streamflow forecasting. The book concludes with a suggested way forward, looking ahead to future needs and challenges in further strengthening streamflow forecasting. 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 non-structural measures), and short-term emergency warning. Global contributors to provide the most authoritative outlook on stream forecasting for both flood and droughtCovers all available methods of streamflow forecasting methods used in the literature and guides the audience to the best method and tool for themIncludes multiple case studies (at least one for every method in each chapter) demonstrating the application of each method

Book details

Book category Books in English Earth sciences, geography, environment, planning The environment

• Full title: Advances in Streamflow Forecasting
• Subtitle: From Traditional to Modern Approaches
• Author: Priyanka Sharma, Deepesh Machiwal
• Language: English
• Binding: Paperback
• Number of pages: 404
• EAN: 9780128206737
• ID: 33380586
• Publisher: Elsevier Science Publishing Co Inc
• Weight: 660 g
• Dimensions: 153 × 228 × 30 mm
• Date of publishing: 25. June 2021

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