Advances in Streamflow Forecasting Book

Advances in Streamflow Forecasting


  • Author : Priyanka Sharma
  • Publisher : Elsevier
  • Release Date : 2021-06-20
  • Genre: Science
  • Pages : 404
  • ISBN 10 : 9780128209240
  • Total Read : 77
  • File Size : 9,8 Mb

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Advances in Streamflow Forecasting Summary:

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 renow

Advances in Hydrologic Forecasts and Water Resources Management Book

Advances in Hydrologic Forecasts and Water Resources Management


  • Author : Fi-John Chang
  • Publisher : MDPI
  • Release Date : 2021-01-20
  • Genre: Technology & Engineering
  • Pages : 274
  • ISBN 10 : 9783039368044
  • Total Read : 83
  • File Size : 20,7 Mb

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Advances in Hydrologic Forecasts and Water Resources Management Summary:

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 (AI). AI can replicate the way humans learn and has great capability to efficiently extract crucial information from large amounts of data to solve complex problems. The fourteen research papers published in this Special Issue contribute significantly to the uncertainty assessment of operational hydrologic forecasting under changing environmental conditions and the promotion of water resources management by using the latest advanced techniques, such as AI techniques. The fourteen contributions across four major research areas: (1) machine learning approaches to hydrologic forecasting; (2) uncertainty analysis and assessment on hydrological modeling under changing environments; (3) AI techniques for optimizing multi-objective reservoir operation; (4) adaption strategies of extreme hydrological events for hazard mitigation. The papers published in this issue will not only advance water sciences but also help policymakers to achieve more sustainable and effective water resource management.

Advances in Water Resources Management Book

Advances in Water Resources Management


  • Author : Lawrence K. Wang
  • Publisher : Springer
  • Release Date : 2015-12-16
  • Genre: Technology & Engineering
  • Pages : 569
  • ISBN 10 : 9783319229249
  • Total Read : 82
  • File Size : 10,9 Mb

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Advances in Water Resources Management Summary:

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 quality management, river ice process, and computer-aided mathematical modeling of water properties. This critical volume will serve as a valuable reference work for advanced undergraduate and graduate students, designers of water resources systems, and scientists and researchers. The goals of the Handbook of Environmental Engineering series are: (1) to cover entire environmental fields, including air and noise pollution control, solid waste processing and resource recovery, physicochemical treatment processes, biological treatment processes, biotechnology, biosolids management, flotation technology, membrane technology, desalination technology, water resources, natural control processes, radioactive waste disposal, hazardous waste management, and thermal pollution control; and (2) to employ a multimedia approach to environmental conservation and protection since air, water, soil and energy are all interrelated.

Advances in Hydroinformatics Book

Advances in Hydroinformatics


  • Author : Philippe Gourbesville
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-11-12
  • Genre: Science
  • Pages : 560
  • ISBN 10 : 9789814451420
  • Total Read : 69
  • File Size : 18,7 Mb

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Advances in Hydroinformatics Summary:

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, engineers and practitioners involved in the field of numerical modelling in the water sector: flood management, natural resources preservation, hydraulic machineries, and innovation in numerical methods, 3D developments and applications.

Advances in Neural Networks isnn 2006 Book

Advances in Neural Networks isnn 2006


  • Author : Anonim
  • Publisher : Springer Science & Business Media
  • Release Date : 2006
  • Genre: Artificial intelligence
  • Pages : 1507
  • ISBN 10 : 9783540344391
  • Total Read : 76
  • File Size : 19,5 Mb

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Advances in Neural Networks isnn 2006 Summary:

Stochasticity  Nonlinearity and Forecasting of Streamflow Processes Book

Stochasticity Nonlinearity and Forecasting of Streamflow Processes


  • Author : Wen Wang
  • Publisher : IOS Press
  • Release Date : 2006
  • Genre: Technology & Engineering
  • Pages : 220
  • ISBN 10 : 1586036211
  • Total Read : 87
  • File Size : 13,7 Mb

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Stochasticity Nonlinearity and Forecasting of Streamflow Processes Summary:

"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 streamflow processes based on univariate historic streamflow records, and presents data-driven models that are also mainly based on univariate streamflow time series. Six streamflow processes of five rivers in different geological regions are investigated for stochasticity and nonlinearity at several characteristic timescales (i.e., one day, one month, 1/3 month and one year). But only the streamflows of the upper Yellow River in northern China are considered for forecasting."

Advances in Water Science Methodologies Book

Advances in Water Science Methodologies


  • Author : U Aswathanarayana
  • Publisher : CRC Press
  • Release Date : 2005-05-26
  • Genre: Science
  • Pages : 288
  • ISBN 10 : 9780203086841
  • Total Read : 98
  • File Size : 6,5 Mb

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Advances in Water Science Methodologies Summary:

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

Toward a New Advanced Hydrologic Prediction Service  AHPS  Book

Toward a New Advanced Hydrologic Prediction Service AHPS


  • Author : National Research Council
  • Publisher : National Academies Press
  • Release Date : 2006-06-28
  • Genre: Science
  • Pages : 84
  • ISBN 10 : 0309180775
  • Total Read : 97
  • File Size : 14,6 Mb

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Toward a New Advanced Hydrologic Prediction Service AHPS Summary:

The National Weather Service (NWS) is responsible for providing flood forecasts and warnings in the United States. The agency established the Advanced Hydrologic Prediction Services (AHPS) program in 1997 to advance technology for hydrologic services, specifically to provide accurate forecasts that support timely warnings for all users of hydrologic predictions. AHPS strives to provide information at the right time to facilitate adequate responses to mitigate damages to life, livelihoods, and property. AHPS is slated to be fully implemented nationwide in 2013. With seven years still remaining in its development and implementation timeline, a review of the program now is critical to providing NWS with information it needs to maximize the effectiveness of the AHPS program. This report assesses AHPS in respect to hydrologic science and technology research, river routing and mechanics, "systems" engineering aspects, and implementation. Overall, this report finds AHPS to be an ambitious program that promises to provide services and products that are timely and necessary. The report calls for AHPS to develop a detailed and comprehensive, multi-year implementation plan and for the program’s goals and budget to be brought into closer alignment.