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Stochastic Analysis Of Contaminant Transport
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Book Synopsis Modeling and Stochastic Analysis of Contaminant Transport in Soils and Aquifers by : Mohamed Mahdi Hantush
Download or read book Modeling and Stochastic Analysis of Contaminant Transport in Soils and Aquifers written by Mohamed Mahdi Hantush and published by . This book was released on 1996 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Stochastic Analysis of Contaminant Transport by :
Download or read book Stochastic Analysis of Contaminant Transport written by and published by . This book was released on 1992 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt: A reliability algorithm is used to develop probabilistic (stochastic) models or contaminant transport in porous media. The models are based on advective-dispersive transport equations, and utilize the reliability algorithm with existing one- and two-dimensional analytical and numerical solutions. Uncertain variables in the models include: groundwater flow velocity (or permeability in the numerical model), dispersivity, diffusion coefficient, bulk density, porosity, and solute distribution coefficient. Each uncertain variable is assigned a mean, covariance, and marginal distribution. The models yield an estimate of the probability that the contaminant concentration will equal or exceed a target concentration at a selected location and time. The models also yield probabilistic sensitivity measures which identify those uncertain variables with most influence on the probabilistic outcome. The objective of this study is to examine the basic behavior and develop general conclusions regarding transport under certain conditions as modeled using a reliability approach.
Book Synopsis Stochastic Analysis of Contaminant Transport by :
Download or read book Stochastic Analysis of Contaminant Transport written by and published by . This book was released on 1990 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: A reliability approach for probabilistic modeling of one-dimensional non-reactive and reactive transport in porous media provides two important quantitative results: (1) an estimate of the probability that dimensionless concentration equals or exceeds some specified level and, (2) the sensitivity of the probabilistic outcome to likely changes in each uncertain variable. The reliability approach is particularly attractive because it can incorporate various marginal probability density functions (PDF) for any of the uncertain variables. In this work uncertain variables include: groundwater flow velocity, diffusion coefficient, dispersivity, distribution coefficient, porosity and bulk density. The primary objective is to examine how the probabilistic outcome is influenced by choice of marginal PDF, correlation and magnitude of uncertainty for the variables. Because little information exists concerning the statistical characteristics of these uncertain variables, the investigation assumes a wide range of PDF types and statistical values in order to identify and isolate the most critical issues for further study. Results indicate that, even for very slow mean velocity, the probability estimate for non-reactive transport is most sensitive to uncertain flow velocity. For practical analysis, it appears acceptable to treat dispersivity as a deterministic constant. For non-reactive transport, correlation between flow velocity and diffusion coefficient has a slight impact, but correlation among other combinations of uncertain variables is not important. 34 refs., 10 tabs.
Book Synopsis Stochastic Analysis of Contaminant Transport in Heterogeneous Structured Porous Media by : Hai Huang
Download or read book Stochastic Analysis of Contaminant Transport in Heterogeneous Structured Porous Media written by Hai Huang and published by . This book was released on 2001 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Stochastic Analysis of Contaminant Transport. Final Report, July 1, 1989--November 1, 1991 by :
Download or read book Stochastic Analysis of Contaminant Transport. Final Report, July 1, 1989--November 1, 1991 written by and published by . This book was released on 1992 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt: A reliability algorithm is used to develop probabilistic (stochastic) models or contaminant transport in porous media. The models are based on advective-dispersive transport equations, and utilize the reliability algorithm with existing one- and two-dimensional analytical and numerical solutions. Uncertain variables in the models include: groundwater flow velocity (or permeability in the numerical model), dispersivity, diffusion coefficient, bulk density, porosity, and solute distribution coefficient. Each uncertain variable is assigned a mean, covariance, and marginal distribution. The models yield an estimate of the probability that the contaminant concentration will equal or exceed a target concentration at a selected location and time. The models also yield probabilistic sensitivity measures which identify those uncertain variables with most influence on the probabilistic outcome. The objective of this study is to examine the basic behavior and develop general conclusions regarding transport under certain conditions as modeled using a reliability approach.
Author :Rao S. Govindaraju Publisher :American Society of Civil Engineers ISBN 13 :9780784405321 Total Pages :410 pages Book Rating :4.4/5 (53 download)
Book Synopsis Stochastic Methods in Subsurface Contaminant Hydrology by : Rao S. Govindaraju
Download or read book Stochastic Methods in Subsurface Contaminant Hydrology written by Rao S. Govindaraju and published by American Society of Civil Engineers. This book was released on 2002-01-01 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Reliabilitybased uncertainty analysis of groundwater contaminant transport and remediation by :
Download or read book Reliabilitybased uncertainty analysis of groundwater contaminant transport and remediation written by and published by DIANE Publishing. This book was released on with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Stochastic Modeling of Organic Contaminant Transport in Ground Water by : Garrison Sposito
Download or read book Stochastic Modeling of Organic Contaminant Transport in Ground Water written by Garrison Sposito and published by . This book was released on 1990 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Contaminant Transport by Groundwater by : Jan-Olof Selroos
Download or read book Contaminant Transport by Groundwater written by Jan-Olof Selroos and published by . This book was released on 1996 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Stochastic Analysis in Production Process and Ecology Under Uncertainty by : Bogusław Bieda
Download or read book Stochastic Analysis in Production Process and Ecology Under Uncertainty written by Bogusław Bieda and published by Springer Science & Business Media. This book was released on 2012-06-02 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: The monograph addresses a problem of stochastic analysis based on the uncertainty assessment by simulation and application of this method in ecology and steel industry under uncertainty. The first chapter defines the Monte Carlo (MC) method and random variables in stochastic models. Chapter two deals with the contamination transport in porous media. Stochastic approach for Municipal Solid Waste transit time contaminants modeling using MC simulation has been worked out. The third chapter describes the risk analysis of the waste to energy facility proposal for Konin city, including the financial aspects. Environmental impact assessment of the ArcelorMittal Steel Power Plant, in Kraków – in the chapter four – is given. Thus, four scenarios of the energy mix production processes were studied. Chapter five contains examples of using ecological Life Cycle Assessment (LCA) – a relatively new method of environmental impact assessment – which help in preparing pro-ecological strategy, and which can lead to reducing the amount of wastes produced in the ArcelorMittal Steel Plant production processes. Moreover, real input and output data of selected processes under uncertainty, mainly used in the LCA technique, have been examined. The last chapter of this monograph contains final summary. The log-normal probability distribution, widely used in risk analysis and environmental management, in order to develop a stochastic analysis of the LCA, as well as uniform distribution for stochastic approach of pollution transport in porous media has been proposed. The distributions employed in this monograph are assembled from site-specific data, data existing in the most current literature, and professional judgment.
Book Synopsis Stochastic Analysis of Solute Transport in Heterogeneous Aquifers Subject to Random Recharge and Contaminant Source Fields by : Liyong Li
Download or read book Stochastic Analysis of Solute Transport in Heterogeneous Aquifers Subject to Random Recharge and Contaminant Source Fields written by Liyong Li and published by . This book was released on 1998 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Diffusion in Random Fields by : Nicolae Suciu
Download or read book Diffusion in Random Fields written by Nicolae Suciu and published by Springer. This book was released on 2019-05-31 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents, in an accessible and self-consistent way, the theory of diffusion in random velocity fields, together with robust numerical simulation approaches. The focus is on transport processes in natural porous media, with applications to contaminant transport in groundwater. Starting from basic information on stochastic processes, more challenging issues are subsequently addressed, such as the correlation structure of the diffusion process in random fields, the relation between memory effects and ergodic properties, derivation and parameterizations of evolution equations for probability densities, and the relation between measurements and spatio-temporal upscaling. Written for readers with a background in applied mathematics, engineering, physics or geophysics, the book offers an essential basis for further research in the stochastic modeling of groundwater systems.
Book Synopsis Numerical Model for One-dimensional Stochastic Contaminant Transport in Fractional Time-space by : Mayank Mehta
Download or read book Numerical Model for One-dimensional Stochastic Contaminant Transport in Fractional Time-space written by Mayank Mehta and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The groundwater contaminant transport has been analyzed for stationary (steady) and non-stationary (unsteady) flow of velocity. This velocity has been considered for both deterministic and stochastic flows, and the stochasticity has been generated through both Brownian motion (Gaussian) and fractional Brownian motion (heavy tailed). The variance behavior for stationary and non-stationary flow having heavy tailed and Brownian motion has been analyzed. The correlation in the velocity has been accessed through the covariance behavior. Furthermore, diffusion coefficient has been analyzed for various flow processes. A numerical model has been developed using one dimensional unsteady fractional stochastic transport equation to generate the realization-wise concentration of contaminants using Monte Carlo simulations. Then, the ensemble average of the realizations have been found, which is equivalent to the probability density function (PDF) of the concentration of contaminants. Fokker-Plank equation has been modeled numerically to generate PDF for the concentration of contaminants. It has been observed that the Fokker-Plank equation is describing well the ensemble average obtained by Monte Carlo simulations. Moreover, long memory has been observed for fractional cases, which explains the practically observed heavy tails in the transport process. Correlation function has been plotted for the ensemble of concentration to explain the physical basis for heavy tails observed in nature.
Book Synopsis Stochastic Dynamics. Modeling Solute Transport in Porous Media by : Don Kulasiri
Download or read book Stochastic Dynamics. Modeling Solute Transport in Porous Media written by Don Kulasiri and published by Elsevier. This book was released on 2002-11-22 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most of the natural and biological phenomena such as solute transport in porous media exhibit variability which can not be modeled by using deterministic approaches. There is evidence in natural phenomena to suggest that some of the observations can not be explained by using the models which give deterministic solutions. Stochastic processes have a rich repository of objects which can be used to express the randomness inherent in the system and the evolution of the system over time. The attractiveness of the stochastic differential equations (SDE) and stochastic partial differential equations (SPDE) come from the fact that we can integrate the variability of the system along with the scientific knowledge pertaining to the system. One of the aims of this book is to explaim some useufl concepts in stochastic dynamics so that the scientists and engineers with a background in undergraduate differential calculus could appreciate the applicability and appropriateness of these developments in mathematics. The ideas are explained in an intuitive manner wherever possible with out compromising rigor. The solute transport problem in porous media saturated with water had been used as a natural setting to discuss the approaches based on stochastic dynamics. The work is also motivated by the need to have more sophisticated mathematical and computational frameworks to model the variability one encounters in natural and industrial systems. This book presents the ideas, models and computational solutions pertaining to a single problem: stochastic flow of contaminant transport in the saturated porous media such as that we find in underground aquifers. In attempting to solve this problem using stochastic concepts, different ideas and new concepts have been explored, and mathematical and computational frameworks have been developed in the process. Some of these concepts, arguments and mathematical and computational constructs are discussed in an intuititve manner in this book.
Book Synopsis Groundwater Contaminant Transport by : F.B.J. Barends
Download or read book Groundwater Contaminant Transport written by F.B.J. Barends and published by Routledge. This book was released on 2017-07-12 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Impacts of developed tools of heterogenous characterization on the hydrodynamics of flow and the transport mechanisms are illustrated in this text through a series of extensive numerical simulations consisting of single and multiple-realizations (Monte Carlo method).
Book Synopsis Development of a One Dimensional Subsurface Contaminant Transport Model with Stochastic Applications by : Benjamin Waldon Johnson
Download or read book Development of a One Dimensional Subsurface Contaminant Transport Model with Stochastic Applications written by Benjamin Waldon Johnson and published by . This book was released on 2009 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Contaminant source release history is a necessary element of contaminant mass transport simulation in the saturated zone. The source release history is unknown at many sites, and many inverse models have been developed to define finite release histories. To define a likely domain of three source history parameters, a mass balancebased one dimensional approach is developed and tested by discretizing the spatial domain into bands. By incorporating the approach in a spreadsheet model, observed data is represented by both variable length and constant length bands of analysis. Each representation of observed data was tested to determine the most appropriate band geometry for improved model calibration and constant length bands results were more accurate than results of variable length bands. The source history parameter domains predicted by the model are then evaluated with Monte Carlo analysis. After datasets of artificial transport systems are developed and evaluated with the model, actual site data from a Superfund site is input to the model that provides reasonable results of the source history parameters. Limitations of the model require site characteristics that include negligible diffusion, a uniform regional flow field, and isotropic and homogeneous aquifer media"--Abstract, leaf iv.
Book Synopsis Large-scale Models of Transient Unsaturated Flow and Contaminant Transport Using Stochastic Methods by : Aristotelis Mantoglou
Download or read book Large-scale Models of Transient Unsaturated Flow and Contaminant Transport Using Stochastic Methods written by Aristotelis Mantoglou and published by . This book was released on 1984 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt:
