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Analysis Of Water Quality Model Uncertainty Using A Bayesian Monte Carlo Method Wisconsin Michigan
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Book Synopsis ANALYSIS OF WATER QUALITY MODEL UNCERTAINTY USING A BAYESIAN MONTE CARLO METHOD (WISCONSIN, MICHIGAN). by : David Wayne Dilks
Download or read book ANALYSIS OF WATER QUALITY MODEL UNCERTAINTY USING A BAYESIAN MONTE CARLO METHOD (WISCONSIN, MICHIGAN). written by David Wayne Dilks and published by . This book was released on 1987 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: aforementioned problems. This procedure combines Monte Carlo Analysis with Bayesian Inference to provide an uncertainty analysis technique that automatically determines the uncertainty in both inputs and results, based upon data observations.
Book Synopsis Uncertainty and Forecasting of Water Quality by : M.B. Beck
Download or read book Uncertainty and Forecasting of Water Quality written by M.B. Beck and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Parameter Estimation and Uncertainty Quantification in Water Resources Modeling by : Philippe Renard
Download or read book Parameter Estimation and Uncertainty Quantification in Water Resources Modeling written by Philippe Renard and published by Frontiers Media SA. This book was released on 2020-04-22 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical models of flow and transport processes are heavily employed in the fields of surface, soil, and groundwater hydrology. They are used to interpret field observations, analyze complex and coupled processes, or to support decision making related to large societal issues such as the water-energy nexus or sustainable water management and food production. Parameter estimation and uncertainty quantification are two key features of modern science-based predictions. When applied to water resources, these tasks must cope with many degrees of freedom and large datasets. Both are challenging and require novel theoretical and computational approaches to handle complex models with large number of unknown parameters.
Book Synopsis Monte Carlo Simulation and First Order Error Analysis by : Sjors van de Kamer
Download or read book Monte Carlo Simulation and First Order Error Analysis written by Sjors van de Kamer and published by . This book was released on 1983 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Lake Model Uncertainty Analysis by : V. David Lee
Download or read book Lake Model Uncertainty Analysis written by V. David Lee and published by . This book was released on 1980 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Dissertation Abstracts International by :
Download or read book Dissertation Abstracts International written by and published by . This book was released on 1987 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Application of Time Series Analysis and Monte Carlo Simulation to a Water Quality Model by : Leslie Franklin Grober
Download or read book Application of Time Series Analysis and Monte Carlo Simulation to a Water Quality Model written by Leslie Franklin Grober and published by . This book was released on 1992 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Selected Water Resources Abstracts by :
Download or read book Selected Water Resources Abstracts written by and published by . This book was released on 1988 with total page 882 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Technique for the Assessment of Uncertainty in Water Quality Models Used for Public Health Risk Analysis by : Mark A. Tumeo
Download or read book A Technique for the Assessment of Uncertainty in Water Quality Models Used for Public Health Risk Analysis written by Mark A. Tumeo and published by . This book was released on 1990 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Uncertainty Analysis and Calibration of Water Distribution Quality Models by :
Download or read book Uncertainty Analysis and Calibration of Water Distribution Quality Models written by and published by . This book was released on 2006 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: ABSTRACTWater distribution system modeling can be used as a basis of planning and operation decisions. However, model accuracy and uncertainty will impact the model based decisions. Model prediction uncertainty results from uncertainty in model parameters that are determined through calibration or are based upon modeler judgment. The focus of this dissertation is the effect of uncertainties on water quality model estimates and calibration. The dissertation is centered around three journal articles and a technical note. In the first paper, the effect of parameter uncertainty on water quality in a distribution system under steady and unsteady conditions was analyzed by Monte Carlo simulation (MCS). Sources of uncertainties for water quality include decay coefficients, pipe diameter and roughness, and nodal spatial and temporal demands. The effect of individual parameter is discussed, as well as the combined effect of the parameters. It also describes the effect of flow patterns. A general calibration model is developed in the second paper for identifying wall decay coefficients. The problem is solved using the SFLA optimization algorithm that is coupled with hydraulic and water quality simulation models using the EPANET toolkit. The methodology is applied on two application networks. The study presents the effect of different field conditions such as the network with or without tanks, altering disinfectant injection policies, changing measurement locations, and varying the number of global wall decay coefficient on the estimated parameters. The numerical study also discusses whether the complexity of the system can be captured with fewer than the actual number of field parameters and if the number of the measurement locations is sufficient. The third paper conducts a study that considers a full calibration assessment for a water quality model in the distribution systems. The calibration process begins with estimating the the best fit wall decay coefficients. Next, the uncertainties involved with estimated parameters are calculated. Finally, the study assesses the model prediction uncertainties for critical demand conditions due to the parameter uncertainties. Various conditions are evaluated including the effects of different measurement errors and different measurement conditions on the uncertainty levels of estimated parameters as well as on the model predictions. Fourth paper presents study in which a booster disinfectant is introduced within a distribution system to maintain disinfectant residuals and avoid high dosages at water sources. Assuming that first order reaction kinetics apply to chlorine decay, an integer linear programming optimization problem is posed to booster locations and their injection rates. The formulation avoids long water quality simulations by adding constraints requiring the concentrations at the beginning and end of the design period to be the same. The optimization problem is divided into two levels. The upper level selects the booster locations using a genetic algorithm, if more than a few boosters are included, or enumeration, if the number of boosters and/or potential locations is relatively small. Given a set of boosters from the upper level, the lower level minimizes the chlorine mass to be injected to maintain required residuals. The approach is applied to the Brushy Plains system for alternative numbers of allowable boosters.
Book Synopsis Index to American Doctoral Dissertations by :
Download or read book Index to American Doctoral Dissertations written by and published by . This book was released on 1986 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Water Quality Modelling for Rivers and Streams by : Marcello Benedini
Download or read book Water Quality Modelling for Rivers and Streams written by Marcello Benedini and published by Springer Science & Business Media. This book was released on 2013-02-11 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main objective of the Water Framework Directive in the European countries is to achieve a “good status” of all the water bodies, in the integrated management of river basins. In order to assess the impact of improvement measures, water quality models are necessary. During the previous decades the progress in computer technology and computational methods has supported the development of advanced mathematical models for pollutant transport in rivers and streams. This book is intended to provide the fundamental knowledge needed for a deeper understanding of these models and the development of new ones, which will fulfil future quality requirements in water resources management. This book focuses on the fundamentals of computational techniques required in water quality modelling. Advection, dispersion and concentrated sources or sinks of contaminants lead to the formulation of the fundamental differential equation of pollutant transport. Its integration, according to appropriate initial and boundary conditions and with the knowledge of the velocity field, allows for pollutant behaviour to be assessed in the entire water body. An analytical integration is convenient only in one-dimensional approach with considerable simplification. Integration in the numerical field is useful for taking into account particular aspects of water body and pollutants. To ensure their reliability, the models require accurate calibration and validation, based on proper data, taken from direct measurements. In addition, sensitivity and uncertainty analysis are also of utmost importance. All the above items are discussed in detail in the 21 chapters of the book, which is written in a didactic form for professionals and students.
Book Synopsis Stochastic Analysis of Water Quality by : Ronald F. Malone
Download or read book Stochastic Analysis of Water Quality written by Ronald F. Malone and published by . This book was released on 1979 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Comparative Analysis of Monte Carlo Simulation and Stochastic Response Surface Method Applied to Water Quality Modeling by : Farouk Mollah Banna
Download or read book Comparative Analysis of Monte Carlo Simulation and Stochastic Response Surface Method Applied to Water Quality Modeling written by Farouk Mollah Banna and published by . This book was released on 2006 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Compares Monte Carlo simulation, where inputs are represented by probability distribution functions, and the stochastic response surface method (SRSM), where inputs and outputs are approximated using series expansions of standard random variables, in water quality modeling using Streeter Phelps equations. Uses the specific case of water quality problems of the Neuse River in North Carolina to compare these two methods. Seeks to determine how the modeling results representation can be better improved by developing and analyzing their output probability distributions based on input variability, the optimal number of runs for the two methods, and how the two methods compare in terms of results efficiency and computational effort.
Book Synopsis Uncertainty in Modern Impoundment Models by : Richard H. French
Download or read book Uncertainty in Modern Impoundment Models written by Richard H. French and published by . This book was released on 1984 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Water Quality Management by : M.B. Beck
Download or read book Water Quality Management written by M.B. Beck and published by Springer. This book was released on 1985-02 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: During 1978-1982 the International Institute for Applied Systems Analysis (IIASA) was responsible for a research project on Environmental Quality Control and Management. The project was begun under the direction of Professor O. F. Vasiliev (from the Institute of Hydrodynamics of the Siberian Branch of the USSR Academy of Sciences) and was subsequently led by myself. This review is very much a re'fiection of that IIASA project. The major themes of the IIASA project were: (i) research into the methodological aspects of modeling river and lake sys tems [some of the principal results of this research appear in M. B. Beck and G. van Straten (eds. ) (1983), Uncertainty and Forecasting of Water Quality (Springer, Berlin (West)), and in K. Fedra (1983), Environmental Modeling Under Uncertainty: Monte Carlo Simulation (IIASA Research Report RR-83-28)]; (ii) case studies in the application of mathematical models to lake eutrophi cation control [results of which are summarized in L. Somlyody, S. Hero dek, and J. Fischer (eds. ) (1983), Eutrophication of Shallow Lakes: Model ing and Management (The Lake Balaton Case Study) (IIASA Collaborative Proceedings CP-83-S3), and in K. Fedra (1983), A Modular Approach to Comprehensive System Simulation: A Case Study of Lakes and Watersheds (in W. K. Lauenroth, G. V. Skogerboe, and M. Flug (eds. ), Analysis of Ecological Systems: State-of-the-Art in Ecological Modelling, pp. 195-204. Elsevier, Amsterdam)]; iv (iii) a policy study of operational water qua,lity management [M. B. Beck (1981), Operational Water Quality Management: Beyond Planning and Design (IIASA Executive Report ER-7)].
Book Synopsis Uncertainty Analysis in Water Quality Modeling by : Barbara Rose Notini
Download or read book Uncertainty Analysis in Water Quality Modeling written by Barbara Rose Notini and published by . This book was released on 1987 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt:
