Topics in Stochastic Hydrology PDF Download

Author: École polytechnique (Montréal, Québec)
Publisher:
ISBN:
Category :
Languages : en
Pages : 342

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Author: N. C.. Matalas
Publisher:
ISBN:
Category :
Languages : en
Pages : 127

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Author: J.B. Marco
Publisher: Springer Science & Business Media
ISBN: 9401116970
Category : Science
Languages : en
Pages : 470

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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.

Author: Keith W. Hipel
Publisher: Springer Science & Business Media
ISBN: 9401110727
Category : Science
Languages : en
Pages : 370

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Objectives The current global environmental crisis has reinforced the need for developing flexible mathematical models to obtain a better understanding of environmental problems so that effective remedial action can be taken. Because natural phenomena occurring in hydrology and environmental engineering usually behave in random and probabilistic fashions, stochastic and statistical models have major roles to play in the protection and restoration of our natural environment. Consequently, the main objective of this edited volume is to present some of the most up-to-date and promising approaches to stochastic and statistical modelling, especially with respect to groundwater and surface water applications. Contents As shown in the Table of Contents, the book is subdivided into the following main parts: GENERAL ISSUES PART I PART II GROUNDWATER PART III SURFACE WATER PART IV STOCHASTIC OPTIMIZATION PART V MOMENT ANALYSIS PART VI OTHER TOPICS Part I raises some thought-provoking issues about probabilistic modelling of hydro logical and environmental systems. The first two papers in Part I are, in fact, keynote papers delivered at an international environmetrics conference held at the University of Waterloo in June, 1993, in honour of Professor T. E. Unny. In his keynote pa per, Dr. S. J. Burges of the University of Washington places into perspective the historical and future roles of stochastic modelling in hydrology and environmental engineering. Additionally, Dr. Burges stresses the need for developing a sound scien tific basis for the field of hydrology. Professor P. E.

Author: Keith W. Hipel
Publisher: Springer Science & Business Media
ISBN: 9401730830
Category : Science
Languages : en
Pages : 469

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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.

Author: N. T Kottegoda
Publisher: Springer
ISBN: 1349034673
Category : Mathematics
Languages : en
Pages : 384

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Author: Rao S. Govindaraju
Publisher: American Society of Civil Engineers
ISBN: 9780784405321
Category : Mathematics
Languages : en
Pages : 410

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Author: J. Jaime Gómez-Hernández
Publisher: Frontiers Media SA
ISBN: 2889710378
Category : Science
Languages : en
Pages : 180

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Dr. Andres Alcolea is employed by Geo-Energie Suisse AG and is the funder and CEO of HydroGeoModels. All other Topic Editors declare no competing interests with regards to the Research Topic subject

Author: Keith W. Hipel
Publisher: Springer Science & Business Media
ISBN:
Category : Business & Economics
Languages : en
Pages : 400

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PrefaceDedicationAcknowledgementsPart I: General Issues Part II: GroundwaterPart III: Surface WaterPart IV: Stochastic Optimization. Part V: Moment AnalysisPart VI: Other TopicsAuthor IndexSubject Index

Author: Vujica M. Yevjevich
Publisher: Water Resources Publications, LLC
ISBN:
Category : Science
Languages : en
Pages : 304

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