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Stochastic Analysis and Optimal Reservoir Operation During Drought Period

Stochastic Analysis and Optimal Reservoir Operation During Drought Period PDF Author: Jenq-Tzong Shiau
Publisher:
ISBN:
Category :
Languages : en
Pages : 328

Book Description


Stochastic Analysis and Optimal Reservoir Operation During Drought Period

Stochastic Analysis and Optimal Reservoir Operation During Drought Period PDF Author: Jenq-Tzong Shiau
Publisher:
ISBN:
Category :
Languages : en
Pages : 328

Book Description


Stochastic and Statistical Methods in Hydrology and Environmental Engineering

Stochastic and Statistical Methods in Hydrology and Environmental Engineering PDF Author: Keith W. Hipel
Publisher: Springer
ISBN: 9780792327608
Category : Science
Languages : en
Pages : 0

Book Description
Volume 1: (edited by Keith W. Hipel) In this landmark collection of papers, highly respected scientists and engineers from around the world present the latest research results in extreme value analyses for floods and droughts. Two approaches that are commonly employed in flood frequency analyses are the maximum annual flood and partial duration series or peak over threshold procedures. Recent theoretical advances as well as illustrative applications are described in detail for each of these approaches. Additionally, droughts and storms are systematically studied using appropriate probabilistic models. A major part of the volume is devoted to frequency analyses and fitting extreme value distributions to hydrological data. Other thought-provoking topics include regionalization techniques, distributed models, entropy and fractal analysis. Volume 1 is of interest to researchers, teachers, students and practitioners who wish to place themselves at the leading edge of flood frequency and drought analyses. Volume 2: (edited by Keith W. Hipel) World renowned scientists present valuable contributions to stochastic and statistical modelling of groundwater and surface water systems. The philosophy of probabilistic modelling in the hydrological sciences is put into proper perspective and the importance of stochastic differential equations in the environmental sciences is explained and illustrated. The new research ideas put forward in groundwater modelling will assist decision makers in tackling challenging problems such as controlling pollution of underground aquifers and obtaining adequate water supplies. Additionally, different types of stochastic models are used in modelling a range of interesting surface water problems. Other topics covered in this landmark volume include stochastic optimization, moment analysis, carbon dioxide modelling and rainfall prediction. Volume 2 is of interest to researchers, teachers, students and practitioners who wish to be at the leading edge of stochastic and statistical modelling in the environmental sciences. Volume 3: (edited by Keith W. Hipel; A. Ian McLeod; U.S. Panu; Vijay P. Singh) International experts from around the globe present a rich variety of intriguing developments in time series analysis in hydrology and environmental engineering. Climatic change is of great concern to everyone and significant contributions to this challenging research topic are put forward by internationally renowned authors. A range of interesting applications in hydrological forecasting are given for case studies in reservoir operation in North America, Asia and South America. Additionally, progress in entropy research is described and entropy concepts are applied to various water resource systems problems. Neural networks are employed for forecasting runoff and water demand. Moreover, graphical, nonparametric and parametric trend analyses methods are compared and applied to water quality time series. Other topics covered in this landmark volume include spatial analyses, spectral analyses and different methods for stream-flow modelling. Volume 3 constitutes an invaluable resource for researchers, teachers, students and practitioners who wish to be at the forefront of time series analysis in the environmental sciences. Volume 4: (edited by Keith W. Hipel; Liping Fang) In this landmark set of papers, experts from around the world present the latest and most promising approaches to both the theory and practice of effective environmental management. To achieve sustainable development, organizations and individual citizens must comply with environmental laws and regulations. Accordingly, a major contribution of this book is the presentation of original techniques for designing effective environmental policies, regulations, inspection procedures and monitoring systems. Interesting methods for modelling risk and decision making problems are discussed from an environmental management perspective. Moreover, knowledge-based techniques for handling environmental problems are also investigated. Finally, the last main part of the book describes optimal approaches to reservoir operation and control that take into account appropriate multiple objectives. Volume 4 is of direct interest to researchers, teachers, students and practitioners concerned with the latest developments in environmental management and sustainable development.

Stochastic and Statistical Methods in Hydrology and Environmental Engineering

Stochastic and Statistical Methods in Hydrology and Environmental Engineering PDF Author: Keith W. Hipel
Publisher: Springer Science & Business Media
ISBN: 9401730830
Category : Science
Languages : en
Pages : 469

Book Description
International experts from around the globe present a rich variety of intriguing developments in time series analysis in hydrology and environmental engineering. Climatic change is of great concern to everyone and significant contributions to this challenging research topic are put forward by internationally renowned authors. A range of interesting applications in hydrological forecasting are given for case studies in reservoir operation in North America, Asia and South America. Additionally, progress in entropy research is described and entropy concepts are applied to various water resource systems problems. Neural networks are employed for forecasting runoff and water demand. Moreover, graphical, nonparametric and parametric trend analyses methods are compared and applied to water quality time series. Other topics covered in this landmark volume include spatial analyses, spectral analyses and different methods for stream-flow modelling. Audience The book constitutes an invaluable resource for researchers, teachers, students and practitioners who wish to be at the forefront of time series analysis in the environmental sciences.

Stochastic and Statistical Methods in Hydrology and Environmental Engineering

Stochastic and Statistical Methods in Hydrology and Environmental Engineering PDF Author: Keith W. Hipel
Publisher: Springer Science & Business Media
ISBN: 9401730814
Category : Science
Languages : en
Pages : 461

Book Description
In this landmark set of papers, experts from around the world present the latest and most promising approaches to both the theory and practice of effective environmental management. To achieve sustainable development, organizations and individual citizens must comply with environmental laws and regulations. Accordingly, a major contribution of this book is the presentation of original techniques for designing effective environmental policies, regulations, inspection precedures and monitoring systems. Interesting methods for modelling risk and decision making problems are discussed from an environmental management perspective. Moreover, knowledge-based techniques for handling environmental problems are also investigated. Finally, the last main part of the book describes optimal approaches to reservoir operation and control that take into account appropriate multiple objectives. Audience The book is of direct interest to researchers, teachers, students and practitioners concerned with the latest developments in environmental management and sustainable development.

Stochastic Hydrology and its Use in Water Resources Systems Simulation and Optimization

Stochastic Hydrology and its Use in Water Resources Systems Simulation and Optimization PDF Author: J.B. Marco
Publisher: Springer Science & Business Media
ISBN: 9401116970
Category : Science
Languages : en
Pages : 470

Book Description
Stochastic hydrology is an essential base of water resources systems analysis, due to the inherent randomness of the input, and consequently of the results. These results have to be incorporated in a decision-making process regarding the planning and management of water systems. It is through this application that stochastic hydrology finds its true meaning, otherwise it becomes merely an academic exercise. A set of well known specialists from both stochastic hydrology and water resources systems present a synthesis of the actual knowledge currently used in real-world planning and management. The book is intended for both practitioners and researchers who are willing to apply advanced approaches for incorporating hydrological randomness and uncertainty into the simulation and optimization of water resources systems. (abstract) Stochastic hydrology is a basic tool for water resources systems analysis, due to inherent randomness of the hydrologic cycle. This book contains actual techniques in use for water resources planning and management, incorporating randomness into the decision making process. Optimization and simulation, the classical systems-analysis technologies, are revisited under up-to-date statistical hydrology findings backed by real world applications.

Reservoir Operation During Drought by Applying Ensemble Streamflow Prediction and Stochastic Dynamic Programming

Reservoir Operation During Drought by Applying Ensemble Streamflow Prediction and Stochastic Dynamic Programming PDF Author: 周冠汶
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Stochastic Approaches to Water Resources

Stochastic Approaches to Water Resources PDF Author: Hsieh Wen Shen
Publisher:
ISBN:
Category : Hydrology
Languages : en
Pages : 574

Book Description
General overview of application of stochastic methods to water resources problems; Structure of natural hydrologic time processes; Structure of water use time series; Generation of hydrologic and water resources samples; Data collection, analysis and instrumentation; Long-range changes; Application of stochastic methods in water resources studies; Risk and uncertainty as objectives in water resources; Optimization and uncertainty; Water resources planning; Application of statistical decision theory; Parameter regionalization and network design; Worth of data; Some remarks on the statistical theory of extreme values; Stochastic structure of the local pattern of precipitation; Floods and droughts; Reservoir planning and operation; Stochastic models for reservoir design; Urban stormwater management; Statistical application in groundwater systems; Watershed sediment yield; Simulation of velocity distribution and mass transfer...

Stochastic and Statistical Methods in Hydrology and Environmental Engineering

Stochastic and Statistical Methods in Hydrology and Environmental Engineering PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Optimization of Multiple-purpose Reservoir System Operations

Optimization of Multiple-purpose Reservoir System Operations PDF Author: Ralph Allen Wurbs
Publisher:
ISBN:
Category : Reservoirs
Languages : en
Pages : 100

Book Description


Stochastic and Statistical Methods in Hydrology and Environmental Engineering

Stochastic and Statistical Methods in Hydrology and Environmental Engineering PDF Author: Keith W. Hipel
Publisher: Springer
ISBN: 9780792327608
Category : Science
Languages : en
Pages : 0

Book Description
Volume 1: (edited by Keith W. Hipel) In this landmark collection of papers, highly respected scientists and engineers from around the world present the latest research results in extreme value analyses for floods and droughts. Two approaches that are commonly employed in flood frequency analyses are the maximum annual flood and partial duration series or peak over threshold procedures. Recent theoretical advances as well as illustrative applications are described in detail for each of these approaches. Additionally, droughts and storms are systematically studied using appropriate probabilistic models. A major part of the volume is devoted to frequency analyses and fitting extreme value distributions to hydrological data. Other thought-provoking topics include regionalization techniques, distributed models, entropy and fractal analysis. Volume 1 is of interest to researchers, teachers, students and practitioners who wish to place themselves at the leading edge of flood frequency and drought analyses. Volume 2: (edited by Keith W. Hipel) World renowned scientists present valuable contributions to stochastic and statistical modelling of groundwater and surface water systems. The philosophy of probabilistic modelling in the hydrological sciences is put into proper perspective and the importance of stochastic differential equations in the environmental sciences is explained and illustrated. The new research ideas put forward in groundwater modelling will assist decision makers in tackling challenging problems such as controlling pollution of underground aquifers and obtaining adequate water supplies. Additionally, different types of stochastic models are used in modelling a range of interesting surface water problems. Other topics covered in this landmark volume include stochastic optimization, moment analysis, carbon dioxide modelling and rainfall prediction. Volume 2 is of interest to researchers, teachers, students and practitioners who wish to be at the leading edge of stochastic and statistical modelling in the environmental sciences. Volume 3: (edited by Keith W. Hipel; A. Ian McLeod; U.S. Panu; Vijay P. Singh) International experts from around the globe present a rich variety of intriguing developments in time series analysis in hydrology and environmental engineering. Climatic change is of great concern to everyone and significant contributions to this challenging research topic are put forward by internationally renowned authors. A range of interesting applications in hydrological forecasting are given for case studies in reservoir operation in North America, Asia and South America. Additionally, progress in entropy research is described and entropy concepts are applied to various water resource systems problems. Neural networks are employed for forecasting runoff and water demand. Moreover, graphical, nonparametric and parametric trend analyses methods are compared and applied to water quality time series. Other topics covered in this landmark volume include spatial analyses, spectral analyses and different methods for stream-flow modelling. Volume 3 constitutes an invaluable resource for researchers, teachers, students and practitioners who wish to be at the forefront of time series analysis in the environmental sciences. Volume 4: (edited by Keith W. Hipel; Liping Fang) In this landmark set of papers, experts from around the world present the latest and most promising approaches to both the theory and practice of effective environmental management. To achieve sustainable development, organizations and individual citizens must comply with environmental laws and regulations. Accordingly, a major contribution of this book is the presentation of original techniques for designing effective environmental policies, regulations, inspection procedures and monitoring systems. Interesting methods for modelling risk and decision making problems are discussed from an environmental management perspective. Moreover, knowledge-based techniques for handling environmental problems are also investigated. Finally, the last main part of the book describes optimal approaches to reservoir operation and control that take into account appropriate multiple objectives. Volume 4 is of direct interest to researchers, teachers, students and practitioners concerned with the latest developments in environmental management and sustainable development.