Advances in Streamflow Forecasting

This book PDF is perfect for those who love Science genre, written by Priyanka Sharma and published by Elsevier which was released on 20 June 2021 with total hardcover pages 404. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Advances in Streamflow Forecasting books below.

Advances in Streamflow Forecasting
Author : Priyanka Sharma
File Size : 51,7 Mb
Publisher : Elsevier
Language : English
Release Date : 20 June 2021
ISBN : 9780128209240
Pages : 404 pages
DOWNLOAD

Advances in Streamflow Forecasting by Priyanka Sharma Book PDF 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 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

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

DOWNLOAD
Advances 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

DOWNLOAD
Advances 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

DOWNLOAD
Advances 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

DOWNLOAD
Advances in Neural Networks isnn 2006

Download or read online Advances in Neural Networks isnn 2006 written by Anonim, published by Springer Science & Business Media which was released on 2006. Get Advances in Neural Networks isnn 2006 Books now! Available in PDF, ePub and Kindle.

DOWNLOAD
Stochasticity  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,

DOWNLOAD
Advances 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

DOWNLOAD
Bridging Science And Policy Implication For Managing Climate Extremes

Since 1980, the number of climate-related disasters has been greatly increased globally. Scientific consensus based on the IPCC fifth report suggested that global warming would bring more intense and frequent extreme climate events. These climate-related disasters hinder the achievement of sustainable economic growth and prosperity by disrupting supply chains, impeding production,

DOWNLOAD