Groundwater Remediation Optimization Using Artificial Neural Networks

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Groundwater Remediation Optimization Using Artificial Neural Networks

Author :
Publisher :
ISBN 13 :
Total Pages : 12 pages
Book Rating : 4.:/5 (683 download)

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Book Synopsis Groundwater Remediation Optimization Using Artificial Neural Networks by :

Download or read book Groundwater Remediation Optimization Using Artificial Neural Networks written by and published by . This book was released on 1998 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: One continuing point of research in optimizing groundwater quality management is reduction of computational burden which is particularly limiting in field-scale applications. Often evaluation of a single pumping strategy, i.e. one call to the groundwater flow and transport model (GFTM) may take several hours on a reasonably fast workstation. For computational flexibility and efficiency, optimal groundwater remediation design at Lawrence Livermore National Laboratory (LLNL) has relied on artificial neural networks (ANNS) trained to approximate the outcome of 2-D field-scale, finite difference/finite element GFTMs. The search itself has been directed primarily by the genetic algorithm (GA) or the simulated annealing (SA) algorithm. This approach has advantages of (1) up to a million fold increase in speed of remediation pattern assessment during the searches and sensitivity analyses for the 2-D LLNL work, (2) freedom from sequential runs of the GFTM (enables workstation farming), and (3) recycling of the knowledge base (i.e. runs of the GFTM necessary to train the ANNS). Reviewed here are the background and motivation for such work, recent applications, and continuing issues of research.

Optimal Field-scale Groundwater Remediation Using Neural Networks and the Genetic Algorithm

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Publisher :
ISBN 13 :
Total Pages : 7 pages
Book Rating : 4.:/5 (727 download)

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Book Synopsis Optimal Field-scale Groundwater Remediation Using Neural Networks and the Genetic Algorithm by :

Download or read book Optimal Field-scale Groundwater Remediation Using Neural Networks and the Genetic Algorithm written by and published by . This book was released on 1993 with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt: We present a new approach for field-scale nonlinear management of groundwater remediation. First, an artificial neural network (ANN) is trained to predict the outcome of a groundwater transport simulation. Then a genetic algorithm (GA) searches through possible pumping realizations, evaluating the fitness of each with a prediction from the trained ANN. Traditional approaches rely on optimization algorithms requiring sequential calls of the groundwater transport simulation. Our approach processes the transport simulations in parallel and ''recycles'' the knowledge base of these simulations, greatly reducing the computational and real-time burden, often the primary impediment to developing field-scale management models. We present results from a Superfund site suggesting that such management techniques can reduce cleanup costs by over a hundred million dollars.

Optimal Groundwater Remediation Using Artificial Neural Networks and the Genetic Algorithm

Author :
Publisher :
ISBN 13 :
Total Pages : 154 pages
Book Rating : 4.:/5 (685 download)

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Book Synopsis Optimal Groundwater Remediation Using Artificial Neural Networks and the Genetic Algorithm by :

Download or read book Optimal Groundwater Remediation Using Artificial Neural Networks and the Genetic Algorithm written by and published by . This book was released on 1992 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: An innovative computational approach for the optimization of groundwater remediation is presented which uses artificial neural networks (ANNs) and the genetic algorithm (GA). In this approach, the ANN is trained to predict an aspect of the outcome of a flow and transport simulation. Then the GA searches through realizations or patterns of pumping and uses the trained network to predict the outcome of the realizations. This approach has advantages of parallel processing of the groundwater simulations and the ability to ''recycle'' or reuse the base of knowledge formed by these simulations. These advantages offer reduction of computational burden of the groundwater simulations relative to a more conventional approach which uses nonlinear programming (NLP) with a quasi-newtonian search. Also the modular nature of this approach facilitates substitution of different groundwater simulation models.

Optimal Groundwater Remediation Using Artificial Neural Networks and the Genetic Algorithm

Author : Leah Lucille Rogers
Publisher :
ISBN 13 :
Total Pages : 310 pages
Book Rating : 4.:/5 (387 download)

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Book Synopsis Optimal Groundwater Remediation Using Artificial Neural Networks and the Genetic Algorithm by : Leah Lucille Rogers

Download or read book Optimal Groundwater Remediation Using Artificial Neural Networks and the Genetic Algorithm written by Leah Lucille Rogers and published by . This book was released on 1992 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Solving Problems in Environmental Engineering and Geosciences with Artificial Neural Networks

Author : Farid U. Dowla
Publisher : MIT Press
ISBN 13 : 9780262041485
Total Pages : 258 pages
Book Rating : 4.0/5 (414 download)

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Book Synopsis Solving Problems in Environmental Engineering and Geosciences with Artificial Neural Networks by : Farid U. Dowla

Download or read book Solving Problems in Environmental Engineering and Geosciences with Artificial Neural Networks written by Farid U. Dowla and published by MIT Press. This book was released on 1995 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, complete with exercises and ANN algorithms, illustrates how ANNs can be used in solving problems in environmental engineering and the geosciences, and provides the necessary tools to get started using these elegant and efficient new techniques.

Artificial Neural Networks in Hydrology

Author : R.S. Govindaraju
Publisher : Springer Science & Business Media
ISBN 13 : 9401593418
Total Pages : 338 pages
Book Rating : 4.4/5 (15 download)

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Book Synopsis Artificial Neural Networks in Hydrology by : R.S. Govindaraju

Download or read book Artificial Neural Networks in Hydrology written by R.S. Govindaraju and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: R. S. GOVINDARAJU and ARAMACHANDRA RAO School of Civil Engineering Purdue University West Lafayette, IN. , USA Background and Motivation The basic notion of artificial neural networks (ANNs), as we understand them today, was perhaps first formalized by McCulloch and Pitts (1943) in their model of an artificial neuron. Research in this field remained somewhat dormant in the early years, perhaps because of the limited capabilities of this method and because there was no clear indication of its potential uses. However, interest in this area picked up momentum in a dramatic fashion with the works of Hopfield (1982) and Rumelhart et al. (1986). Not only did these studies place artificial neural networks on a firmer mathematical footing, but also opened the dOOf to a host of potential applications for this computational tool. Consequently, neural network computing has progressed rapidly along all fronts: theoretical development of different learning algorithms, computing capabilities, and applications to diverse areas from neurophysiology to the stock market. . Initial studies on artificial neural networks were prompted by adesire to have computers mimic human learning. As a result, the jargon associated with the technical literature on this subject is replete with expressions such as excitation and inhibition of neurons, strength of synaptic connections, learning rates, training, and network experience. ANNs have also been referred to as neurocomputers by people who want to preserve this analogy.

Estimation, Optimization, and Value of Information in Groundwater Remediation

Author : Xiaoyi Liu
Publisher : Stanford University
ISBN 13 :
Total Pages : 215 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Estimation, Optimization, and Value of Information in Groundwater Remediation by : Xiaoyi Liu

Download or read book Estimation, Optimization, and Value of Information in Groundwater Remediation written by Xiaoyi Liu and published by Stanford University. This book was released on 2011 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solving groundwater problems involves a system of methods in characterization and optimization. However, no matter how theoretically sound a method may be, when it is applied in the field, uncertainty is always an important factor that cannot be neglected. Indeed, a good theory or method has to be validated in field applications, and uncertainty propagates from one stage (e.g. characterization) of the application to the next (e.g. remediation optimization). Thus, it is essential for such methods not only to include uncertainty but also to quantify uncertainty in a practical sense. This dissertation covers three important topics in groundwater remediation: site characterization, remediation optimization, and value of information. First, groundwater contamination site characterization with Monte Carlo methods, specifically, Markov chain Monte Carlo (MCMC) methods, is introduced. Then, another subsurface characterization method, stochastic inverse modeling, is covered with an emphasis on solving large-scale characterization problems, meaning resolving the subsurface heterogeneity with a high-resolution. Both methods provide estimation of the site and uncertainty about the estimation. When these characterization results are used for site management such as remediation management, effects of uncertainty on optimization need to be quantified under the specific context of the remediation problem, and traditional measures of uncertainty such as variance and correlation coefficients cannot handle this job well because they do not necessarily depict the severity of uncertainty. In this dissertation, value of information (VOI), defined as the expected cost with the present state of uncertainty minus the expected cost if uncertainty were fully or partially removed, is proposed as a context-specific measure of uncertainty, i.e., it is dependent on site conditions and remediation strategies as well as specific remediation objectives and unit costs. Several laboratory and numerical applications on hydraulic tomography and DNAPL contamination remediation are included in this dissertation to show the efficacy of the methods proposed.

Artificial Intelligence Systems for Water Treatment Plant Optimization

Author : Christopher W. Baxter
Publisher : American Water Works Association
ISBN 13 : 1583211403
Total Pages : 170 pages
Book Rating : 4.5/5 (832 download)

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Book Synopsis Artificial Intelligence Systems for Water Treatment Plant Optimization by : Christopher W. Baxter

Download or read book Artificial Intelligence Systems for Water Treatment Plant Optimization written by Christopher W. Baxter and published by American Water Works Association. This book was released on 2001 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Physicochemical Groundwater Remediation

Author : James A. Smith
Publisher : Springer Science & Business Media
ISBN 13 : 0306469286
Total Pages : 368 pages
Book Rating : 4.3/5 (64 download)

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Book Synopsis Physicochemical Groundwater Remediation by : James A. Smith

Download or read book Physicochemical Groundwater Remediation written by James A. Smith and published by Springer Science & Business Media. This book was released on 2007-05-08 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: As we transition into the 21st century, it is apparent that this is an exciting time for environmental engineers and scientists studying remediation technologies. There has been a rapid development of new ways to clean-up polluted groundwater. Research activities of the past and next 10 years will have a dramatic impact on the quality of the subsurface environment for the next century. In 20, or even 10 years from now, our approach to subsurface remediation will probably be vastly different than it is today. Many of the emerging technologies presented in this book will form the basis of standard remediation practices of the future. Physicochemical Groundwater Remediation presents detailed information on multiple emerging technologies for the remediation of the contaminated subsurface environment. All of these technologies apply our knowledge of physical and chemical processes to clean up ground water and the unsaturated zone, and many (if not all) of these emerging technologies will help define standard practices in the future. These technologies include in situ sorptive and reactive treatment walls, surfactant-enhanced aquifer remediation, optimization analyses for remediation system design, chemical, electrochemical, and biochemical remediation processes, and monitored natural attenuation. You will learn how palladium catalyzes the dehalogenation of chlorinated solvents. You will find out how barometric pumping can naturally remove significant quantities of volatile organic pollutants from shallow ground water and the unsaturated zone. You can learn about mobilizing non-aqueous phase liquids (NAPLs) without risking significant downward migration of the NAPL. You can find out how processes such as electroosmosis and electromigration can be exploited for groundwater remediation purposes and how zero-valent iron and zeolite treatment walls can be used in situ to treat and control contaminant plume migration. Contributors to this book are experts in groundwater remediation processes, and they represent industry, consulting, academia, and government. If your work involves the clean up of contaminated soil and groundwater, this book is an essential reference to keep you up to date on the most promising new developments in remediation research.

A Development of Artificial Neural Network for the Rapid Assessment of Subsurface Contamination

Author :
Publisher :
ISBN 13 :
Total Pages : 234 pages
Book Rating : 4.:/5 (921 download)

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Book Synopsis A Development of Artificial Neural Network for the Rapid Assessment of Subsurface Contamination by :

Download or read book A Development of Artificial Neural Network for the Rapid Assessment of Subsurface Contamination written by and published by . This book was released on 2006 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contaminant transport in groundwater is a major environmental concern in many countries. It is desirable for users and regulatory agencies to have a reliable and convenient screening method to estimate the contaminant migration. Such a tool must allow users to identify critical sites and prioritize the clean-up and further investigative efforts. This study has investigated the feasibility of using an artificial neural network (ANN) as a quick predictor. A feedforward backpropagation neural network (FBNN) was used to train a data set simulated from the Visual MODFLOW program. The data set contained spatial and temporal variations of concentrations of one contaminant and the specified groundwater model parameters including hydraulic conductivity, longitudinal dispersivity, constant head difference, and recharge rate at the source of contamination under several hypothetical conditions. 1- and 2-hidden-layer FBNNs with various numbers of neurons were trained. Levenberg-Marquardt optimization with Bayesian regularization was found to be the best training algorithm for this training data set because of its capability of easing overfitting problem and improving generalization of the network. Data preprocessing prior training the network is also a crucial step for improving accuracy of prediction. The network with 2 hidden layers showed more accurate prediction than that with 1 hidden layer as indicated by the lower mean square error of the validation data set. The result indicates that this tool can be used to predict the concentration of contaminant as a function of time for given locations and model parameters.

Groundwater Optimization Handbook

Author : Richard C. Peralta
Publisher : CRC Press
ISBN 13 : 1439838062
Total Pages : 523 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Groundwater Optimization Handbook by : Richard C. Peralta

Download or read book Groundwater Optimization Handbook written by Richard C. Peralta and published by CRC Press. This book was released on 2012-04-26 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: Existing and impending water shortages argue for improving water quantity and quality management. Groundwater Optimization Handbook: Flow, Contaminant Transport, and Conjunctive Management helps you formulate and solve groundwater optimization problems to ensure sustainable supplies of adequate quality and quantity. It shows you how to more effectively use simulation-optimization (S-O) modeling, an economically valuable groundwater management tool that couples simulation models with mathematical optimization techniques. Written for readers of varying familiarity with groundwater hydrology and mathematical optimization, the handbook approaches complex problems realistically. Its techniques have been applied in many legal settings, with produced strategies providing up to 57% improvement over those developed without S-O modeling. These techniques supply constructible designs, planning and management strategies, and metrics for performance-based contracts. Learn how to: Recognize opportunities for applying S-O models Lead client, agency, and consultant personnel through the strategy design and adaptation process Formulate common situations as clear deterministic/stochastic and single/multiobjective mathematical optimization problems Distinguish between problem nonlinearities resulting from physical system characteristics versus management goals Create an S-O model appropriate for your specific needs or select an existing transferrable model Develop acceptable feasible solutions and compute optimal solutions Quantify tradeoffs between multiple objectives Evaluate and adapt a selected optimal strategy, or use it as a metric for comparison Drawing on the author’s numerous real-world designs and more than 30 years of research, consulting, and teaching experience, this practical handbook supplies design procedures, detailed flowcharts, solved problems, lessons learned, and diverse applications. It guides you through the maze of multiple objectives, constraints, and uncertainty to calculate the best strategies for managing flow, contamination, and conjunctive use of groundwater and surface water. Ancillary materials are available from the Downloads tab on the book page at www.crcpress.com.

Nature-Inspired Methods for Metaheuristics Optimization

Author : Fouad Bennis
Publisher : Springer Nature
ISBN 13 : 3030264580
Total Pages : 503 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Nature-Inspired Methods for Metaheuristics Optimization by : Fouad Bennis

Download or read book Nature-Inspired Methods for Metaheuristics Optimization written by Fouad Bennis and published by Springer Nature. This book was released on 2020-01-17 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems. The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others. The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers.

Water and Energy Management in India

Author : Mrinmoy Majumder
Publisher : Springer Nature
ISBN 13 : 3030666832
Total Pages : 292 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Water and Energy Management in India by : Mrinmoy Majumder

Download or read book Water and Energy Management in India written by Mrinmoy Majumder and published by Springer Nature. This book was released on 2021-03-05 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an innovative, realistic and reliable solution to the common problem of Indian water and energy sector due to the onset of the Impact of Climate Change and Large-Scale Urbanization. Twelve Case Studies and One Review Paper that were included in this book depict the way soft computation techniques, simulation and decision-making framework can optimize the best solution from multiple solutions to the problems of water and energy management which corresponds to a novel symbiotic and synchronous nexus between water and the energy sector. All the studies included in this book are collected from all parts of India. The selected studies utilized the latest technologies like Multi-Criteria Decision Frame Work, Neural Networks and Nature-Based Optimization techniques to achieve diverse objectives from the prediction of climatic parameters to yield from ungauged watershed to performance optimization of Water Treatment Plant, Hydropower as well as futuristic alternative energy systems like Wave to Power Plants.

Neural Networks for Hydrological Modeling

Author : Robert Abrahart
Publisher : CRC Press
ISBN 13 : 0203024117
Total Pages : 316 pages
Book Rating : 4.2/5 (3 download)

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Book Synopsis Neural Networks for Hydrological Modeling by : Robert Abrahart

Download or read book Neural Networks for Hydrological Modeling written by Robert Abrahart and published by CRC Press. This book was released on 2004-05-15 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new approach to the fast-developing world of neural hydrological modelling, this book is essential reading for academics and researchers in the fields of water sciences, civil engineering, hydrology and physical geography. Each chapter has been written by one or more eminent experts working in various fields of hydrological modelling. The b

Artificial Neural Networks in Water Supply Engineering

Author : Srinivasa Lingireddy
Publisher : ASCE Publications
ISBN 13 : 9780784475607
Total Pages : 196 pages
Book Rating : 4.4/5 (756 download)

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Book Synopsis Artificial Neural Networks in Water Supply Engineering by : Srinivasa Lingireddy

Download or read book Artificial Neural Networks in Water Supply Engineering written by Srinivasa Lingireddy and published by ASCE Publications. This book was released on 2005-01-01 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prepared by the Water Supply Engineering Technical Committee of the Infrastructure Council of the Environmental and Water Resources Institute of ASCE. This report examines the application of artificial neural network (ANN) technology to water supply engineering problems. Although ANN has rarely been used in in this area, those who have done so report findings that were beyond the capability of traditional statistical and mathematical modeling tools. This report describes the availability of diverse applications, along with the basics of neural network modeling, and summarizes the experiences of groups of researchers around the world who successfully demonstrated significant benefits from using ANN technology in water supply engineering. Topics include: Forecasting salinity levels in River Murray, South Australia; Predicting gastroenteritis rates and waterborne outbreaks; Modeling pH levels in a eutrophic Middle Loire River, France; and ANNs as function approximation tools replacing rigorous mathematical simulation models for analyzing water distribution networks.

Groundwater and Subsurface Remediation

Author : Helmut Kobus
Publisher : Springer Science & Business Media
ISBN 13 : 3642457509
Total Pages : 366 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Groundwater and Subsurface Remediation by : Helmut Kobus

Download or read book Groundwater and Subsurface Remediation written by Helmut Kobus and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: The complex topic of in-situ subsurface remediation technologies has been ad dressed at an international symposium at the Universitat Stuttgart on September 26 and 27, 1995, on the occasion of the inauguration of the research facility VEGAS (Versuchseinrichtung zur Grundwasser- und Altlastensanierung). The results are contained in this book with 22 contributions from leading experts in the field from Europe and North America. The book illustrates the role of large-scale experiments in groundwater and subsurface remediation research. The subtopics address the various links between conventional laboratory experiments, technology-scale experiments and field-site studies, showing the contribution of large-scale experiments to bridging the gap between small-scale investigations and large-scale field investigations (upscaling). The interdisciplinary nature of the problems requires a multidisciplinary approach. Therefore, the idea has been followed to bring together the various disciplines in volved in the different aspects and facets of subsurface flow, transport and trans as hydraulics and hydrology, physics, formation, involving such diverse disciplines chemistry, microbiology, geology, industrial, chemical and hydraulic engineering, mathematics and hydroinformatics. The individual contributions from these di versified fields address the subject from different angles in an attempt to form a coherent picture of the various aspects of the complex problems of subsurface remediation. The focus is on research approaches and strategies with respect to the development of new and improved technologies and to the role of large-scale experiments in research and application.

Field Sampling Methods for Remedial Investigations

Author : Mark Edward Byrnes
Publisher : CRC Press
ISBN 13 : 1000615731
Total Pages : 435 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Field Sampling Methods for Remedial Investigations by : Mark Edward Byrnes

Download or read book Field Sampling Methods for Remedial Investigations written by Mark Edward Byrnes and published by CRC Press. This book was released on 2022-09-28 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Originally published in 1994, the first edition of Field Sampling Methods for Remedial Investigations soon became a premier resource in this field. The "Princeton Groundwater" course designated it as one of the top books on the market that addresses strategies for groundwater characterization, groundwater well installation, well completion, and groundwater sampling. This long awaited third edition provides most current and most cost-effective environmental media characterization methods and approaches supporting all aspects of remediation activities. This book integrates recommendations from over one hundred of the most current US EPA, State EPA, US Geological Survey, US Army Corps of Engineers, and National Laboratory environmental guidance and/or technical documents. This book provides guidance, examples, and/or case studies for the following subjects: Implementing the EPA’s latest Data Quality Objectives process Developing cost effective statistical & non-statistical sampling designs supporting all aspects of environmental remediation activities, and available statistical sample design software Aerial photography, surface geophysics, airborne/surface/downhole/building radiological surveys, soil gas surveying, environmental media sampling, DNAPL screening, portable X-ray fluorescence measurements Direct push groundwater sampling, well installation, well development, well purging, no-purge/low-flow/standard groundwater sampling, depth-discrete ground sampling, groundwater modeling Tracer testing, slug testing, waste container and building material sampling, pipe surveying, defining background conditions Documentation, quality control sampling, data verification/validation, data quality assessment, decontamination, health & safety, management of investigation waste A recognized expert on this subject, author Mark Byrnes provides standard operating procedures and guidance on the proper implementation of these methods, focusing on proven technologies that are acknowledged by EPA and State regulatory agencies as reputable techniques.