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Author : Christine A. Shoemaker
Publisher :
ISBN 13 :
Total Pages : 73 pages
Book Rating : 4.:/5 (957 download)
Download or read book Development of Efficient Optimization Algorithms for Groundwater Remediation written by Christine A. Shoemaker and published by . This book was released on 1997 with total page 73 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Raju Marcus Rohde
Publisher :
ISBN 13 :
Total Pages : 214 pages
Book Rating : 4.E/5 ( download)
Download or read book Computationally Efficient Optimization of Groundwater Remediation Using Derivative-based and Heuristic Algorithms written by Raju Marcus Rohde and published by . This book was released on 2002 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Demonstration of Optimization Techniques for Groundwater Plumeremediation Using ITOUGH2 written by and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: We examined the potential use of standard optimization algorithms as implemented in the inverse modeling code iTOUGH2 (Finsterle, 1999abc) for the solution of aquifer remediation problems. Costs for the removal of dissolved or free-phase contaminants depend on aquifer properties, the chosen remediation technology, and operational parameters (such as number of wells drilled and pumping rates). A cost function must be formulated that may include actual costs and hypothetical penalty costs for incomplete cleanup; the total cost function is therefore a measure of the overall effectiveness and efficiency of the proposed remediation scenario. The cost function is then minimized by automatically adjusting certain decision or operational parameters. We evaluate the impact of these operational parameters on remediation using a three-phase, three-component flow and transport simulator, which is linked to nonlinear optimization routines. We demonstrate that the methods developed for automatic model calibration are capable of minimizing arbitrary cost functions. An example of co-injection of air and steam makes evident the need for coupling optimization routines with an accurate state-of-the-art process simulator. Simplified models are likely to miss significant system behaviors such as increased downward mobilization due to recondensation of contaminants during steam flooding, which can be partly suppressed by the co-injection of air.
Author : Ying Wan
Publisher :
ISBN 13 :
Total Pages : 216 pages
Book Rating : 4.:/5 (919 download)
Download or read book Applications of Multi-objective, Mixed-integer and Hybrid Global Optimization Algorithms for Computationally Expensive Groundwater Problems written by Ying Wan and published by . This book was released on 2015 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research focuses on the development and implementation of e cient optimization algorithms that can solve a range of computationally expensive groundwater simulationoptimization problems. Because groundwater model evaluations are expensive, it is important to find accurate solutions with relatively few function evaluations. As a result, all the algorithms tested in this research are evaluated on a limited computation budget. The first contribution to the thesis is a comparative evaluation of a novel multi-objective optimization algorithm, GOMORS, to three other popular multi-objective optimization methods on applications to groundwater management problems within a limited number of objective function evaluations. GOMORS involves surrogate modeling via Radial Basis Function approximation and evolutionary strategies. The primary aim of the analysis is to assess the effectiveness of multi-objective algorithms in groundwater remediation management through multi-objective optimization within a limited evaluation budget. Three sets of dual objectives are evaluated. The objectives include minimization of cost, pollution mass remaining/pollution concentration, and cleanup time. Our results indicate that the overall performance of GOMORS is better than three other algorithms, AMALGAM, BORG and NSGA-II, in identifying good trade-off solutions. Furthermore, GOMORS incorporates modest parallelization to make it even more e cient. The next contribution is application of SO-MI, a surrogate model-based algorithm designed for computationally expensive nonlinear and multimodal mixed-integer black-box optimization problems, to solve groundwater remediation design problems (NL-MIP). SO-MI utilizes surrogate models to guide the search thus save the expensive function evaluation budget, and is able to find accurate solutions with relatively few function evaluations. We present numerical results to show the effectiveness and e ciency of SO-MI in comparison to Genetic Algorithm and NOMAD, which are two popular mixed-integer optimization algorithms. The results indicate that SO-MI is statistically better than GA and NOMAD in both study cases. Chapter 4 describes DYCORS-PEST, a novel method developed for high dimensional, computationally expensive, multimodal calibration problems when the computation budget is limited. This method integrates a local optimizer PEST into a global optimization framework DYCORS. The novelty of DYCORS-PEST is that it uses a memetic approach to improve the accuracy of the solution in which DYCORS selects the point at which the search switches to use of the local method PEST and when it switches back to the global phase. Since PEST is a very e cient and widely used local search algorithm for groundwater model calibration, incorporating PEST into DYCORS-PEST is a good enhancement for PEST and easy for PEST users to learn. DYCORS-PEST achieves the goal of solving the computationally expensive black-box problem by forming a response surface of the expensive function, thus reducing the number of required expensive function evaluations for finding accurate solutions. The key feature of the global search method in DYCORS-PEST is that the number of decision variables being perturbed is dynamically adjusted in each iteration in order to be more effective for higher dimensional problems. Application of DYCORS-PEST to two 28parameter groundwater calibration problems indicate this new method outperforms PEST by a large margin for high dimensional, computationally expensive, groundwater calibration problems.
Author :
Publisher :
ISBN 13 :
Total Pages : 24 pages
Book Rating : 4.:/5 (684 download)
Download or read book Demonstration of Optimization Techniques for Groundwater Plume Remediation written by and published by . This book was released on 2000 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: We examined the potential use of standard optimization algorithms for the solution of aquifer remediation problems. Costs for the removal of dissolved or free-phase contaminants depend on aquifer properties, the chosen remediation technology, and operational parameters (such as number of wells drilled and pumping rates). A cost function must be formulated that may include actual costs and hypothetical penalty costs for incomplete cleanup; the total cost function is therefore a measure of the overall effectiveness and efficiency of the proposed remediation scenario. In this study, the cost function is minimized by automatically adjusting certain operational parameters. The impact of these operational parameters on remediation is evaluated using a state-of-the-art three-phase, three-component flow and transport simulator, which is linked to nonlinear optimization routines. The report demonstrates that methods developed for automatic model calibration are capable of minimizing arbitrary cost functions. Two illustrative examples are presented. While hypothetical, these examples demonstrate that remediation costs can be substantially lowered by combining simulation and optimization techniques. The second example on co-injection of air and steam also make evident the need for coupling optimization routines with an accurate state-of-the-art process simulator. Simplified models are likely to miss significant system behaviors such as increased downward mobilization due to recondensation of contaminants during steam flooding, which can be partly suppressed by the co-injection of air.
Author :
Publisher :
ISBN 13 :
Total Pages : 46 pages
Book Rating : 4.:/5 (173 download)
Download or read book Highway Accident Report; Series of Multivehicle Collisions and Fires Under Limited Visibility Conditions, New Jersey Turnpike, Gate 15 and U.S. Route 46, October 23 and 24, 1973 written by and published by . This book was released on 1975 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Shengquan Yan
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (931 download)
Download or read book Optimizing Groundwater Remediation Designs Using Dynamic Meta-Models and Genetic Algorithms written by Shengquan Yan and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Richard C. Peralta
Publisher : CRC Press
ISBN 13 : 1439838062
Total Pages : 523 pages
Book Rating : 4.4/5 (398 download)
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.
Author : Amandeep Singh
Publisher :
ISBN 13 :
Total Pages : 322 pages
Book Rating : 4.:/5 (798 download)
Download or read book Efficient Optimization Of Computationally Expensive Problems Using A New Parallel Algorithm And Response Surface Based Methods written by Amandeep Singh and published by . This book was released on 2011 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis concerns the development and implementation of efficient optimization algorithms for simulation based functions (real world problems) that are computationally expensive to evaluate. The first contribution is a new parallel algorithm, RODDS for global optimization. RODDS algorithm is a stochastic heuristic global search algorithm, which effectively uses multi-core computers to reduce the computational expense of an optimization problem. The RODDS algorithm introduces the use of hyperspheres in candidate point generation. The optimization search is based on the concept of dynamically changing the dimensions perturbed to direct the search from a global to a local focus. Hyperspheres are used to prevent clustering of candidate points in optimization process to efficiently search the domain. We present numerical results on test problems as well as real world application problems from environmental engineering (groundwater management and watershed calibration) to document RODDS effectiveness when the computational budget is limited. RODDS algorithm achieves efficiencies greater than 1 for most applications which is very significant since implementation of parallel processing usually results in efficiency well below 1. We also present numerical results to show the efficiency of the use of hyperspheres in candidate point generation in RODDS by comparing with a parallel implementation without the hyperspheres. The next contribution is application of Radial basis function (RBF) based methods on computationally expensive optimization problems. We compare the performance of RBF methods with several popular global optimization algorithms (derivative based and heuristic) on two Groundwater superfund remediation sites (Pump and Treat system). These are two field sites Umatilla Chemical Depot (19,728 acres) and Blaine Ammunition Depot (48,800 acres). We present numerical results to indicate that RBF based methods are much more effective algorithms for computationally expensive groundwater problems, followed by a heuristic algorithm DDS. Under limited budget RBF based methods on average outperform traditional methods by an order of 100. The third contribution is a new methodology of integrating a new integer value optimizer (Search over Integers with Tabu (SIT)) with continuous value optimizer (RBF based method) to solve fixed cost problems (which are Mixed Integer value problems, MIVP). Mixed integer value problems (MIVP) in general have large search domain thus the optimization process is computationally very expensive. This approach tries to take advantage of the fact that SIT is effective for optimizing discrete variables, while response surface method is much more efficient for optimizing continuous value variables. This study tries to limit the computational expense of such kind of problems by implementing a Sequential Response Surface method in conjunction with SIT. We present numerical results to show the effectiveness of integration methodology in comparison to Genetic Algorithm based NSGA-II (Deb et. al., 2003) and the MIVP optimizer, NOMAD (Abramson et. al. 2008). The SIT-RBF methodology is shown to be distinctly better than GA (SIT-RBF resulting in 150 times better solution than GA) under limited computational budget.
Author :
Publisher :
ISBN 13 :
Total Pages : 7 pages
Book Rating : 4.:/5 (727 download)
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.
Author : Masoud Asadzadeh Esfahani
Publisher :
ISBN 13 :
Total Pages : 133 pages
Book Rating : 4.:/5 (835 download)
Download or read book Developing Parsimonious and Efficient Algorithms for Water Resources Optimization Problems written by Masoud Asadzadeh Esfahani and published by . This book was released on 2012 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the current water resources scientific literature, a wide variety of engineering design problems are solved in a simulation-optimization framework. These problems can have single or multiple objective functions and their decision variables can have discrete or continuous values. The majority of current literature in the field of water resources systems optimization report using heuristic global optimization algorithms, including evolutionary algorithms, with great success. These algorithms have multiple parameters that control their behavior both in terms of computational efficiency and the ability to find near globally optimal solutions. Values of these parameters are generally obtained by trial and error and are case study dependent. On the other hand, water resources simulation-optimization problems often have computationally intensive simulation models that can require seconds to hours for a single simulation. Furthermore, analysts may have limited computational budget to solve these problems, as such, the analyst may not be able to spend some of the computational budget to fine-tune the algorithm settings and parameter values. So, in general, algorithm parsimony in the number of parameters is an important factor in the applicability and performance of optimization algorithms for solving computationally intensive problems. A major contribution of this thesis is the development of a highly efficient, single objective, parsimonious optimization algorithm for solving problems with discrete decision variables. The algorithm is called Hybrid Discrete Dynamically Dimensioned Search, HD-DDS, and is designed based on Dynamically Dimensioned Search (DDS) that was developed by Tolson and Shoemaker (2007) for solving single objective hydrologic model calibration problems with continuous decision variables. The motivation for developing HD-DDS comes from the parsimony and high performance of original version of DDS. Similar to DDS, HD-DDS has a single parameter with a robust default value. HD-DDS is successfully applied to several benchmark water distribution system design problems where decision variables are pipe sizes among the available pipe size options. Results show that HD-DDS exhibits superior performance in specific comparisons to state-of-the-art optimization algorithms. The parsimony and efficiency of the original and discrete versions of DDS and their successful application to single objective water resources optimization problems with discrete and continuous decision variables motivated the development of a multi-objective optimization algorithm based on DDS. This algorithm is called Pareto Archived Dynamically Dimensioned Search (PA-DDS). The algorithm parsimony is a major factor in the design of PA-DDS. PA-DDS has a single parameter from its search engine DDS. In each iteration, PA-DDS selects one archived non-dominated solution and perturbs it to search for new solutions. The solution perturbation scheme of PA-DDS is similar to the original and discrete versions of DDS depending on whether the decision variable is discrete or continuous. So, PA-DDS can handle both types of decision variables. PA-DDS is applied to several benchmark mathematical problems, water distribution system design problems, and water resources model calibration problems with great success. It is shown that hypervolume contribution, HVC1, as defined in Knowles et al. (2003) is the superior selection metric for PA-DDS when solving multi-objective optimization problems with Pareto fronts that have a general (unknown) shape. However, one of the main contributions of this thesis is the development of a selection metric specifically designed for solving multi-objective optimization problems with a known or expected convex Pareto front such as water resources model calibration problems. The selection metric is called convex hull contribution (CHC) and makes the optimization algorithm sample solely from a subset of archived solutions that form the convex approximation of the Pareto front. Although CHC is generally applicable to any stochastic search optimization algorithm, it is applied to PA-DDS for solving six water resources calibration case studies with two or three objective functions.
Author : Xiaoyi Liu
Publisher : Stanford University
ISBN 13 :
Total Pages : 215 pages
Book Rating : 4.F/5 ( download)
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.
Author : James E. Kilduff
Publisher : CRC Press
ISBN 13 : 9781587160264
Total Pages : 944 pages
Book Rating : 4.1/5 (62 download)
Download or read book Hazardous and Industrial Waste Proceedings, 32nd Mid-Atlantic Conference written by James E. Kilduff and published by CRC Press. This book was released on 2000-06-26 with total page 944 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Liangcheng Zhang
Publisher :
ISBN 13 :
Total Pages : 262 pages
Book Rating : 4.E/5 ( download)
Download or read book Application of Constrained Optimal Control Algorithms to Groundwater Remediation written by Liangcheng Zhang and published by . This book was released on 1990 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Helmut Kobus
Publisher : Springer Science & Business Media
ISBN 13 : 3642457509
Total Pages : 366 pages
Book Rating : 4.6/5 (424 download)
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.
Author : James A. Smith
Publisher : Springer Science & Business Media
ISBN 13 : 0306469286
Total Pages : 368 pages
Book Rating : 4.3/5 (64 download)
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.
Author :
Publisher :
ISBN 13 :
Total Pages : 858 pages
Book Rating : 4.3/5 (91 download)
Download or read book Dissertation Abstracts International written by and published by . This book was released on 2004 with total page 858 pages. Available in PDF, EPUB and Kindle. Book excerpt:
