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Application Of Simulated Annealing In Water Resources Management Optimal Solution Of Groundwater Contamination Source Characterization Problem And Monitoring Network Design Problems
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Book Synopsis Simulated Annealing by : Marcos Sales Guerra Tsuzuki
Download or read book Simulated Annealing written by Marcos Sales Guerra Tsuzuki and published by IntechOpen. This book was released on 2012-10-17 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state of the art contributes to Simulated Annealing (SA) that is a well-known probabilistic meta-heuristic. It is used to solve discrete and continuous optimization problems. The significant advantage of SA over other solution methods has made it a practical solution method for solving complex optimization problems. Book is consisted of 13 chapters, classified in single and multiple objectives applications and it provides the reader with the knowledge of SA and several applications. We encourage readers to explore SA in their work, mainly because it is simple and can determine extremely very good results.
Book Synopsis Application of Simulated Annealing in Water Resources Management: Optimal Solution of Groundwater Contamination Source Characterization Problem and Monitoring Network Design Problems by : Manish Jha
Download or read book Application of Simulated Annealing in Water Resources Management: Optimal Solution of Groundwater Contamination Source Characterization Problem and Monitoring Network Design Problems written by Manish Jha and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Simulated Annealing by : Marcos Sales Guerra Tsuzuki
Download or read book Simulated Annealing written by Marcos Sales Guerra Tsuzuki and published by BoD – Books on Demand. This book was released on 2012-10-17 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state of the art contributes to Simulated Annealing (SA) that is a well-known probabilistic meta-heuristic. It is used to solve discrete and continuous optimization problems. The significant advantage of SA over other solution methods has made it a practical solution method for solving complex optimization problems. Book is consisted of 13 chapters, classified in single and multiple objectives applications and it provides the reader with the knowledge of SA and several applications. We encourage readers to explore SA in their work, mainly because it is simple and can determine extremely very good results.
Book Synopsis Application of Simulated Annealing and Adaptive Simulated Annealing in Search for Efficient Optimal Solutions of a Groundwater Contamination Related Problem by : Mahsa Amirabdollahian
Download or read book Application of Simulated Annealing and Adaptive Simulated Annealing in Search for Efficient Optimal Solutions of a Groundwater Contamination Related Problem written by Mahsa Amirabdollahian and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Characterization of groundwater contamination sources is a complex inverse problem. This inverse problem becomes complicated, due to the nonlinear nature of the groundwater flow and transport processes and the associated natural uncertainties. The mathematical challenges arise due to the nonunique characteristics of this problem resulting from the nonunique response of the aquifer system to a set of stresses and the possibility of instead locating only local optimal solutions. The linked simulation-optimization model is an efficient approach to identifying groundwater contamination source characteristics. Efficiency and accuracy of the search for optimum solutions of a linked simulation-optimization depend on the utilized optimization algorithm. This limited study focuses on the application and efficiency of simulated annealing (SA) as the optimization algorithm for solving the source characterization problem. The advantages in using adaptive simulated algorithm (ASA) as an alternative are then evaluated. The possibility of identifying a local optimal solution rather than a global optimal solution when using SA implies failure to solve the source characterization inverse problem. The cost of such inaccurate characterization may be enormous when a remediation strategy is based on the model inferences. ASA is shown to provide a reliable and acceptable alternative for solving this challenging aquifer contamination problem.
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.
Book Synopsis Optimization of Water-Level Monitoring Networks in the Eastern Snake River Plain Aquifer Using a Kriging-Based Genetic Algorithm Method by : Jason C. Fisher
Download or read book Optimization of Water-Level Monitoring Networks in the Eastern Snake River Plain Aquifer Using a Kriging-Based Genetic Algorithm Method written by Jason C. Fisher and published by Createspace Independent Publishing Platform. This book was released on 2014-07-16 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Long-term groundwater monitoring networks can provide essential information for the planning and management of water resources. Budget constraints in water resource management agencies often mean a reduction in the number of observation wells included in a monitoring network. A network design tool, distributed as an R package, was developed to determine which wells to exclude from a monitoring network because they add little or no beneficial information. A kriging-based genetic algorithm method was used to optimize the monitoring network. The algorithm was used to find the set of wells whose removal leads to the smallest increase in the weighted sum of the (1) mean standard error at all nodes in the kriging grid where the water table is estimated, (2) root-mean-squared-error between the measured and estimated water-level elevation at the removed sites, (3) mean standard deviation of measurements across time at the removed sites, and (4) mean measurement error of wells in the reduced network. The solution to the optimization problem (the best wells to retain in the monitoring network) depends on the total number of wells removed; this number is a management decision. The network design tool was applied to optimize two observation well networks monitoring the water table of the eastern Snake River Plain aquifer, Idaho; these networks include the 2008 Federal-State Cooperative water-level monitoring network (Co-op network) with 166 observation wells, and the 2008 U.S. Geological Survey-Idaho National Laboratory water-level monitoring network (USGS-INL network) with 171 wells. Each water-level monitoring network was optimized five times: by removing (1) 10, (2) 20, (3) 40, (4) 60, and (5) 80 observation wells from the original network. An examination of the trade-offs associated with changes in the number of wells to remove indicates that 20 wells can be removed from the Co-op network with a relatively small degradation of the estimated water table map, and 40 wells can be removed from the USGS-INL network before the water table map degradation accelerates. The optimal network designs indicate the robustness of the network design tool. Observation wells were removed from high well-density areas of the network while retaining the spatial pattern of the existing water-table map.
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.
Book Synopsis Contaminants in the Subsurface by : National Research Council
Download or read book Contaminants in the Subsurface written by National Research Council and published by National Academies Press. This book was released on 2005-04-23 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: At hundreds of thousands of commercial, industrial, and military sites across the country, subsurface materials including groundwater are contaminated with chemical waste. The last decade has seen growing interest in using aggressive source remediation technologies to remove contaminants from the subsurface, but there is limited understanding of (1) the effectiveness of these technologies and (2) the overall effect of mass removal on groundwater quality. This report reviews the suite of technologies available for source remediation and their ability to reach a variety of cleanup goals, from meeting regulatory standards for groundwater to reducing costs. The report proposes elements of a protocol for accomplishing source remediation that should enable project managers to decide whether and how to pursue source remediation at their sites.
Book Synopsis Ann, Sa and Ga Application in Groundwater Hydrology by : Ashok Kumar Rastogi
Download or read book Ann, Sa and Ga Application in Groundwater Hydrology written by Ashok Kumar Rastogi and published by LAP Lambert Academic Publishing. This book was released on 2011-08 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Utilisation of groundwater is steadily growing in many parts of the world to cope up with the increasing demand in various water user sectors. However scientific use of the precious groundwater calls for proper planning which involve modeling of the system. Recently for groundwater system planning and management use of soft computing tools is growing since these are found better than conventional numerical optimisation technique. Since groundwater problems involve non-linear objective function, their gradient with respect to parameters cause numerical instability. Simulated annealing, artificial neural network and genetic algorithms help in assessment of near global optimal solutions which are meaningful for real system simulation. Synthetic aquifer problems considered in the presented book are particularly useful to demonstrate the application of SA, ANN and GA to assess the aquifer system parameters. However when properly understood from the given applications these can be meaningfully applied to real problems.
Book Synopsis Computational Optimization in Engineering by : Hossein Peyvandi
Download or read book Computational Optimization in Engineering written by Hossein Peyvandi and published by BoD – Books on Demand. This book was released on 2017-04-26 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of optimization is to maximize the quality of lives, productivity in time, as well as interests. Therefore, optimization is an ongoing challenge for selecting the best possible among many other inferior designs. For a hundred years in the past, as optimization has been essential to human life, several techniques have been developed and utilized. Such a development has been one of the long-lasting challenges in engineering and science, and it is now clear that the optimization goals in many of real-life problems are unlikely to be achieved without resource for computational techniques. The history of such a development in the optimization techniques starts from the early 1950s and is still in progress. Since then, the efforts behind this development dedicated by many distinguished scientists, mathematicians, and engineers have brought us today a level of quality of lives. This book concerns with the computational optimization in engineering and techniques to resolve the underlying problems in real life. The current book contains studies from scientists and researchers around the world from North America to Europe and from Asia to Australia.
Book Synopsis Real-time Contaminant Source Characterization in Water Distribution Systems by :
Download or read book Real-time Contaminant Source Characterization in Water Distribution Systems written by and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Accidental/intentional contamination continues to be a major concern for the security management in water distribution systems. Once a contaminant has been initially detected, an effective algorithm is required to recover the characteristics of the contaminantââ'¬â"¢s source based on dynamically varying streams of sensor observations. This dissertation focuses on the development and demonstration of a new algorithm to characterize a contaminant source quickly, accurately, and robustly. An evolutionary algorithm (EA)-based adaptive dynamic optimization technique (ADOPT) is proposed, potentially providing a real-time response. In addition to offering adaptive capacity in a dynamic environment, this algorithm is able to assess the degree of non-uniqueness in the solution through multi-population scheme. This approach, however, requires a large number of time-consuming simulation runs to evaluate possible solutions, and it may be difficult to converge on the best solution or a set of alternative solutions within a reasonable computational time. For this reason, it is desirable to appropriately reduce the decision space over which the optimization procedure must search to reduce the computational burden and to produce faster convergence. A logistic regression-based prescreening technique is investigated in order to reduce the decision space by estimating the probability of a node being a contaminant source location. When a small set of potential source nodes are identified, applying the local search procedure to this set of locations is computationally efficient and potentially good at identifying the best solution. The EA-based ADOPT is then integrated with a logistic regression analysis and a local improvement method to expedite the convergence and to solve the problem potentially faster. The effectiveness of the proposed methods is demonstrated for contamination source identification problems in two illustrative water distribution networks.
Book Synopsis Groundwater Quantity and Quality Management by : Mustafa M. Aral
Download or read book Groundwater Quantity and Quality Management written by Mustafa M. Aral and published by Amer Society of Civil Engineers. This book was released on 2011 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Sponsored by Groundwater Management Technical Committee of the Groundwater Council of EWRI, Environmental and Water Resources Institute (EWRI) of the American Society of Civil Engineers."
Book Synopsis Water Engineering Modeling and Mathematic Tools by : Pijush Samui
Download or read book Water Engineering Modeling and Mathematic Tools written by Pijush Samui and published by Elsevier. This book was released on 2021-02-05 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Water Engineering Modeling and Mathematic Tools provides an informative resource for practitioners who want to learn more about different techniques and models in water engineering and their practical applications and case studies. The book provides modelling theories in an easy-to-read format verified with on-site models for specific regions and scenarios. Users will find this to be a significant contribution to the development of mathematical tools, experimental techniques, and data-driven models that support modern-day water engineering applications. Civil engineers, industrialists, and water management experts should be familiar with advanced techniques that can be used to improve existing systems in water engineering. This book provides key ideas on recently developed machine learning methods and AI modelling. It will serve as a common platform for practitioners who need to become familiar with the latest developments of computational techniques in water engineering. Includes firsthand experience about artificial intelligence models, utilizing case studies Describes biological, physical and chemical techniques for the treatment of surface water, groundwater, sea water and rain/snow Presents the application of new instruments in water engineering
Book Synopsis Predicting Groundwater Contamination by : Daene C. McKinney
Download or read book Predicting Groundwater Contamination written by Daene C. McKinney and published by . This book was released on 1990 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Optimal Groundwater Management Using the Method of Simulated Annealing by : Robert Allen Marryott
Download or read book Optimal Groundwater Management Using the Method of Simulated Annealing written by Robert Allen Marryott and published by . This book was released on 1989 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Application of Artificial Neural Networks in Hydrogeology by : Maria Laura Foddis
Download or read book Application of Artificial Neural Networks in Hydrogeology written by Maria Laura Foddis and published by . This book was released on 2011 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: [...]In many cases, some hydrogeological and groundwater quality characteristics, are not directly measurable and must be physically assessed in function of directly measurable parameters. The problem of determining the unknown model parameters is usually identified as "inverse problem". Solving the inverse problem is the main goal of modeling groundwater flow and contaminant transport. The validity of an aquifer forecasting model is closely related to the reliability and accuracy of the parameters assessment. With respect to the resolution of the inverse problem, this work aims at defining a methodology that allows to identify the features in space and time of unknown contamination sources. In our case, the inverse problem is solved on the basis of measurements of contaminant concentrations in monitoring wells located in the studied areas. In the framework of this thesis, the research is developed under the following themes: - groundwater contamination modeling using a non-commercial software for the flux and transport model in porous media. - modeling of the cause and effect relationships in groundwater contamination with Artificial Neural Networks (ANN) technology. - application of ANN to solve the inverse problem in two cases of groundwater contamination. Over the past decades, Artificial Neural Networks (ANN) have become increasingly popular as a problem solving tool and have been extensively used as a forecasting tool in many disciplines.[...].
Book Synopsis Optimization-based Methodologies for Detection and Monitoring of Groundwater Sources by : Xin Jin
Download or read book Optimization-based Methodologies for Detection and Monitoring of Groundwater Sources written by Xin Jin and published by . This book was released on 2008 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: Keywords: Sensitivity Analysis, Inverse Problems, Environmental Forensics, Simulation-optimization, Monitoring Well Network Design, Evolutionary Computation, Groundwater Source identification.
