Advances in Streamflow Forecasting

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

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  • Author : Priyanka Sharma
  • Publisher : Elsevier
  • Pages : 404 pages
  • ISBN : 0128209240
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKAdvances in Streamflow Forecasting

Advances in Streamflow Forecasting

Advances in Streamflow Forecasting
  • Author : Priyanka Sharma,Deepesh Machiwal
  • Publisher : Elsevier
  • Release : 20 June 2021
GET THIS BOOKAdvances in Streamflow Forecasting

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

Advances in Hydroinformatics

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  • Author : Philippe Gourbesville,Jean Cunge,Guy Caignaert
  • Publisher : Springer Science & Business Media
  • Release : 12 November 2013
GET THIS BOOKAdvances in Hydroinformatics

The book is a collection of extended papers which have been selected for presentation during the SIMHYDRO 2012 conference held in Sophia Antipolis in September 2012. The papers present the state of the art numerical simulation in domains such as (1) New trends in modelling for marine, river & urban hydraulics; (2) Stakeholders & practitioners of simulation; (3) 3D CFD & applications. All papers have been peer reviewed and by scientific committee members with report about quality, content and originality. The target audience for this book includes scientists,

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  • 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 (

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  • 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

Stochasticity, Nonlinearity and Forecasting of Streamflow Processes

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  • Author : Wen Wang
  • Publisher : IOS Press
  • Release : 30 November 2021
GET THIS BOOKStochasticity, Nonlinearity and Forecasting of Streamflow Processes

"Streamflow forecasting is of great importance to water resources management and flood defense. On the other hand, a better understanding of the streamflow process is fundamental for improving the skill of streamflow forecasting. The methods for forecasting streamflows may fall into two general classes: process-driven methods and data-driven methods. Equivalently, methods for understanding streamflow processes may also be broken into two categories: physically-based methods and mathematically-based methods. This publication focuses on using mathematically-based methods to analyze stochasticity and nonlinearity of

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  • Author : Bellie Sivakumar,Ronny Berndtsson
  • Publisher : World Scientific
  • Release : 30 November 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

Feature Papers of Forecasting

Feature Papers of Forecasting
  • Author : Sonia Leva
  • Publisher : MDPI
  • Release : 06 August 2021
GET THIS BOOKFeature Papers of Forecasting

Nowadays, forecast applications are receiving unprecedent attention thanks to their capability to improve the decision-making processes by providing useful indications. A large number of forecast approaches related to different forecast horizons and to the specific problem that have to be predicted have been proposed in recent scientific literature, from physical models to data-driven statistic and machine learning approaches. In this Special Issue, the most recent and high-quality researches about forecast are collected. A total of nine papers have been selected

River Flow Modelling and Forecasting

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  • 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

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Handbook of Engineering Hydrology
  • Author : Saeid Eslamian
  • Publisher : CRC Press
  • Release : 21 March 2014
GET THIS BOOKHandbook of Engineering Hydrology

While most books examine only the classical aspects of hydrology, this three-volume set covers multiple aspects of hydrology. It examines new approaches, addresses growing concerns about hydrological and ecological connectivity, and considers the worldwide impact of climate change.It also provides updated material on hydrological science and engine

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  • Author : Saeid Eslamian
  • Publisher : CRC Press
  • Release : 03 October 2018
GET THIS BOOKHandbook of Engineering Hydrology (Three-Volume Set)

While most books examine only the classical aspects of hydrology, this three-volume set covers multiple aspects of hydrology, and includes contributions from experts from more than 30 countries. It examines new approaches, addresses growing concerns about hydrological and ecological connectivity, and considers the worldwide impact of climate change

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Advances in Water Science Methodologies
  • Author : U Aswathanarayana
  • Publisher : CRC Press
  • Release : 26 May 2005
GET THIS BOOKAdvances in Water Science Methodologies

This book is a useful guide to employing remote sensing data to explain and illustrate interactions between atmospheric, oceanic and hydrological processes, incorporating the latest developments in the field. A number of applications, such as water resources management, environmental monitoring, climate prediction, agriculture, and preparation

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  • Author : Leonard Druyan
  • Publisher : BoD – Books on Demand
  • Release : 02 March 2012
GET THIS BOOKClimate Models

Climate Models offers a sampling of cutting edge research contributed by an international roster of scientists. The studies strive to improve our understanding of the physical environment for life on this planet. Each of the 14 essays presents a description of recent advances in methodologies for computer-based simulation of environmental variability. Subjects range from planetary-scale phenomena to regional ecology, from impacts of air pollution to the factors influencing floods and heat waves. The discerning reader will be rewarded with new insights