Stochastic Modeling And Uncertainty Assessment For Watershed Water Quality Management
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Stochastic Modeling And Uncertainty Assessment For Watershed Water Quality Management
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Author : Yi Zheng
language : en
Publisher:
Release Date : 2007
Stochastic Modeling And Uncertainty Assessment For Watershed Water Quality Management written by Yi Zheng and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Complex watershed water quality models have been increasingly used to support Total Maximum Daily Load (TMDL) development. However, systematic approaches for addressing the significant simulation uncertainty are lacking. For TMDLs supported by complex watershed models, defining the margin of safety (MOS) component through a rigorous uncertainty analysis remains a significant challenge. This study aimed to develop (1) a systematic approach of uncertainty analysis for complex watershed water quality models in the watershed management context; and (2) a framework for defining the MOS with an explicit consideration of uncertainty and degree of protection. A global sensitivity analysis technique was first applied to select critical model parameters. A framework for sources of uncertainty and their interactions was built. Based on this framework, Generalized Likelihood Uncertainty Estimation (GLUE) was initially evaluated as a potential approach for conducting stochastic simulation and uncertainty analysis for complex watershed models. The limitations of GLUE became evident, which led to the development of a new Bayesian approach, Management Objectives Constrained Analysis of Uncertainty (MOCAU). The concept Compliance of Confidence (CC) was then introduced to bridge the gap between modeling uncertainty and MOS. An optimization model was also developed for cost-minimized TMDLs. This study used WARMF as an example of a complex watershed model and constructed a synthetic watershed for developing and testing methodologies. The methodologies were also implemented to study the diazinon TMDL in the Newport Bay watershed (southern California). This research contributes to the theory of stochastic watershed water quality modeling, as well as to the practices of managing watershed water quality.
Stochastic Modeling For Water Quality Management
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Author : Stochastics Incorporated (Blacksburg, Va.)
language : en
Publisher:
Release Date : 1971
Stochastic Modeling For Water Quality Management written by Stochastics Incorporated (Blacksburg, Va.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with categories.
Stochastic Modeling For Water Quality Management
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Author : Richard G. Krutchkoff
language : en
Publisher:
Release Date : 1971
Stochastic Modeling For Water Quality Management written by Richard G. Krutchkoff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with Stochastic processes categories.
Uncertainty Metrics For Coupled Watershed Models
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Author : Geoff Parker
language : en
Publisher:
Release Date : 2009
Uncertainty Metrics For Coupled Watershed Models written by Geoff Parker and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with University of Ottawa theses categories.
A Technique For The Assessment Of Uncertainty In Water Quality Models Used For Public Health Risk Analysis
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Author : Mark A. Tumeo
language : en
Publisher:
Release Date : 1990
A Technique For The Assessment Of Uncertainty In Water Quality Models Used For Public Health Risk Analysis written by Mark A. Tumeo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Health risk assessment categories.
Uncertainty And Forecasting Of Water Quality
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Author : M.B. Beck
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Uncertainty And Forecasting Of Water Quality written by M.B. Beck and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
Since the International Institute for Applied Systems Analysis began its study of water quality modeling and management in 1977, it has been interested in the relations between uncertainty and the problems of model calibration and prediction. The work has focused on the theme of modeling poorly defined environmental systems, a principal topic of the effort devoted to environmental quality control and management. Accounting for the effects of uncertainty was also of central concern to our two case studies of lake eutrophication management, one dealing with Lake Balaton in Hungary and the other with several Austrian lake systems. Thus, in November 1979 we held a meeting at Laxenburg to discuss recent method ological developments in addressing problems associated with uncertainty and forecasting of water quality. This book is based on the proceedings of that meeting. The last few years have seen an increase in awareness of the issue of uncertainty in water quality and ecological modeling. This book is relevant not only to contemporary issues but also to those of the future. A lack of field data will not always be the dominant problem for water quality modeling and management; more sophisticated measuring techniques and more comprehensive monitoring networks will come to be more widely applied. Rather, the important problems of the future are much more likely to emerge from the enhanced facility of data processing and to concern the meaningful interpretation, assimilation., and use of the information thus obtained.
Stochastic Modeling In Hydrogeology
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Author : J. Jaime Gómez-Hernández
language : en
Publisher: Frontiers Media SA
Release Date : 2021-07-14
Stochastic Modeling In Hydrogeology written by J. Jaime Gómez-Hernández and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-14 with Science categories.
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
Stochastic Hydrology And Its Use In Water Resources Systems Simulation And Optimization
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Author : J.B. Marco
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Stochastic Hydrology And Its Use In Water Resources Systems Simulation And Optimization written by J.B. Marco and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.
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.
Stochastic And Statistical Methods In Hydrology And Environmental Engineering
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Author : Keith W. Hipel
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Stochastic And Statistical Methods In Hydrology And Environmental Engineering written by Keith W. Hipel and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.
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.
Stochastic Spatio Temporal Uncertainty In Gis Based Water Quality Modeling Of The Land Water Interface
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Author : Ahmad Mohamad Salah
language : en
Publisher:
Release Date : 2009
Stochastic Spatio Temporal Uncertainty In Gis Based Water Quality Modeling Of The Land Water Interface written by Ahmad Mohamad Salah and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Electronic dissertations categories.
Decision makers can utilize this output to better manage watersheds by understanding and incorporating the spatio-temporal uncertainty for the land-water interface.