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Advances in Streamflow Forecasting – from Traditional to Modern Approaches

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Title Advances in Streamflow Forecasting – from Traditional to Modern Approaches
Not Available
 
Creator Deepesh Machiwal
Priyanka Sharma
 
Subject Streamflow forecasting
Data driven techniques
Traditional methods
Advanced methods
Time series modeling
 
Description Not Available
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 modeling 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 pre-processing methods to improve the forecast accuracy of streamflows and to reduce the forecast uncertainties. The 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 the 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 non-structural 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.

Key Features
• 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
Not Available
 
Date 2021-07-23T09:51:00Z
2021-07-23T09:51:00Z
2021-07-05
 
Type Book
 
Identifier Sharma, P. and Machiwal, D. (Editors) (2021). Advances in Streamflow Forecasting – from Traditional to Modern Approaches. Elsevier, Netherlands, 381pp.
978-0-12-820673-7
http://krishi.icar.gov.in/jspui/handle/123456789/49596
 
Language English
 
Relation Not Available;
 
Publisher Elsevier