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Book Development of Factorial Multi Stage Programming Methods for Water Resources Management Under Uncertainty

Download or read book Development of Factorial Multi Stage Programming Methods for Water Resources Management Under Uncertainty written by Ximan Liu and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rapid population growth and socio-economic development have caused increasing demands for water resources. In addition, issues of water scarcity and pollution are intensifying. The increasing scarcity of water could spark conflict among water users. It is increasingly important to develop rational and optimum water resources management strategies to support sustainable development at all levels - from national to regional. In water resources management systems, uncertainty exists in many system parameters, and the dynamic features of these systems create more challenges for such management. Therefore, making the best use of limited water resources is desired to facilitate sustainable regional development. In this thesis, a factorial multi-stage chance-constrained programming (FMCCP) approach is developed to support water resources management under uncertainty. A multivariate factorial analysis is introduced to identify the effects of uncertainty parameters and their interactions on system performance. This approach is applied to a hypothetical case study of water resources system analysis. The results could help decision-makers to acquire their desired water-allocation schemes. The model could help to analyze the relationship between the economic objective and the system risk. Moreover, factorial analysis is introduced to identify the interactions between the significant factors and to investigate their effects on system performance. In addition, a multi-stage credibility-constrained water resources management (MCWRM) model is developed for water resources management under uncertainty. This proposed method is applied to a hypothetical case study of water resources management. This method improves upon the existing mathematical methods by integrating fuzzy credibility-constrained programming to measure the satisfaction degrees of the constraints. The model effectively reflects uncertainties expressed as probability distributions, fuzzy membership functions and intervals with random boundaries, as well as the dynamic features of water resources management systems, in a systematic manner. The results could help decision-makers to identify water-allocation patterns over the planning horizon and to examine the relationship between predefined policies and implied economic penalties. To demonstrate its applicability, the proposed MCWRM model is applied to a real-world case study in Guhai Water Distribution System (GWDS), China. The proposed model could help decision-makers to analyze the tradeoffs between economic development and environmental policies. The results indicate that the development of economic crops and industrial activities should be encouraged; in contrast, the development of corn should be restricted. The results also reveal that the credibility level would have an obvious effect on the optimized system revenue. When the credibility level is high, the decision-maker prefers to be conservative, resulting in lower system benefits under low violation risk. In contrast, when the credibility level is low, the decision maker seeks to be optimistic, resulting in higher system benefits under high violation risk. The proposed method could provides scientific basis for local sustainable development and water resources management.

Book Factorial Multi stage Stochastic Programming Methods for Water Resources Management

Download or read book Factorial Multi stage Stochastic Programming Methods for Water Resources Management written by Yang Zhou and published by . This book was released on 2011 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study is a first attempt to integrate multivariate factorial analysis with inexact two- and multi-stage stochastic programming. By introducing multivariate factorial analysis into the inexact optimization process, the developed methods are able to not only tackle uncertainties properly and provide water managers with reasonable solutions, but are also capable of analyzing the detailed effects from individual inputs on system performance and reflecting multi-level interactions among various modeling parameters as well as their combined effects on the system.

Book Water Network Design and Management Via Stochastic Programming

Download or read book Water Network Design and Management Via Stochastic Programming written by Weini Zhang and published by . This book was released on 2013 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Water is an essential natural resource for life and economic activities. Water resources management is facing major challenges due to increasing demands caused by population growth, increased industrial and agricultural use, and depletion of fresh water sources around the world. In addition to putting stress on our civilization, factors such as water supply availability, spatial population changes, industrial growth, etc. are all sources of major uncertainty in water resources management. There are also uncertainties regarding climate variability and how it affects both water demands and supplies. Stochastic programming is a mathematical tool to help make decisions under uncertainty that models the uncertain parameters using probability distributions and incorporates probabilistic statements in mathematical optimization. This dissertation applies stochastic programming to water resources management. In particular, we focus on reclaimed water distribution network design to effectively reuse water in a municipal system and a water allocation problem in an integrated water system under uncertainty. We first present a two-stage stochastic integer program with recourse for cost- effective reclaimed water network design. Unlike other formulations, uncertain demands, temporal, and spatial population changes are explicitly considered in our model. Selection of pipe and pump sizes are modeled using binary variables in order to linearize the nonlinear hydraulic equations and objective function terms. We then develop preprocessing methods to significantly reduce the problem dimension by exploiting the problem characteristics and network structure. We analyze the sensitivity of the network design under varying model parameters, present computational results, and discuss when the stochastic solution is most valuable. Next, we investigate the use of risk-averse approach in water resources management using the so-called conditional value-at-risk as a risk measure. We develop a multistage risk-averse stochastic program with recourse for long-term water allocation under uncertain demands and water supply variability. We propose a specialized decomposition-based algorithm to solve multistage risk-averse stochastic programs, and present both the single-cut and the multicut version of the algorithm. We then compare the solution methodologies with different ways of decomposing the resulting problem. We solve the multistage risk-averse water allocation problem with different risk aversion levels and model assumptions, present computational results to demonstrate the potential benefits of risk-averse approach, and provide a guideline for risk aversion level selection.

Book Intelligence Systems in Environmental Management  Theory and Applications

Download or read book Intelligence Systems in Environmental Management Theory and Applications written by Cengiz Kahraman and published by Springer. This book was released on 2016-09-03 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive reference guide to intelligence systems in environmental management. It provides readers with all the necessary tools for solving complex environmental problems, where classical techniques cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including ant colony, genetic algorithms, evolutionary algorithms, fuzzy multi-criteria decision making tools, particle swarm optimization, agent-based modelling, artificial neural networks, simulated annealing, Tabu search, fuzzy multi-objective optimization, fuzzy rules, support vector machines, fuzzy cognitive maps, cumulative belief degrees, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on complex environmental problems. Moreover, by extending all the main aspects of classical environmental solution techniques to its intelligent counterpart, the book presents a dynamic snapshot on the field that is expected to stimulate new directions and stimulate new ideas and developments.

Book Development of Fractional Programming Methods for Environmental Management Under Uncertainty

Download or read book Development of Fractional Programming Methods for Environmental Management Under Uncertainty written by Shudong Wang and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rapid economic development and population growth has accelerated environmental degradation and resource scarcity. There is growing recognition of the importance of environmental conservation and sustainable development. Sustainable environmental management may benefit from integrating a variety of factors into decision-making processes, such as economic, environmental, social, technical, legislative, and political considerations. Moreover, environmental systems are often involved in a multitude of uncertainties, which significantly intensifies the complexity of systems analysis. In this thesis, a set of fractional programming methods are developed to solve multiobjective environmental management problems under uncertainties. Factorial analysis is introduced to explore the interactions of uncertain system parameters and quantify their interactive effects on system performance. The proposed methods include (1) an inexact fractional credibility-constrained programming method for sustainable municipal solid waste management, (2) a generalized fuzzy fractional programming method for air quality management, and (3) an inexact mixed-integer sequential factorial fractional programming method for sustainable municipal solid waste management in the City of Regina, Canada. The models can reflect the multi-objective characteristic of environmental management and address the conflicts between economic and environmental objectives without weighing them. The proposed models are able to maximize environmental benefits and obtain maximum system efficiency with minimal system costs. The objective is to optimize the ratio of environmental benefits to system costs rather than considering them separately, which provides a practical way to solve efficiency issues in environmental management. Moreover, the interactions obtained with factorial analysis may reveal implicit interrelationships between uncertain parameters and help decision makers gain insight into a complex environmental system.

Book Selected Water Resources Abstracts

Download or read book Selected Water Resources Abstracts written by and published by . This book was released on 1970 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Water Resource Systems Planning and Management

Download or read book Water Resource Systems Planning and Management written by Daniel P. Loucks and published by Springer. This book was released on 2017-03-02 with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is open access under a CC BY-NC 4.0 license. This revised, updated textbook presents a systems approach to the planning, management, and operation of water resources infrastructure in the environment. Previously published in 2005 by UNESCO and Deltares (Delft Hydraulics at the time), this new edition, written again with contributions from Jery R. Stedinger, Jozef P. M. Dijkman, and Monique T. Villars, is aimed equally at students and professionals. It introduces readers to the concept of viewing issues involving water resources as a system of multiple interacting components and scales. It offers guidelines for initiating and carrying out water resource system planning and management projects. It introduces alternative optimization, simulation, and statistical methods useful for project identification, design, siting, operation and evaluation and for studying post-planning issues. The authors cover both basin-wide and urban water issues and present ways of identifying and evaluating alternatives for addressing multiple-purpose and multi-objective water quantity and quality management challenges. Reinforced with cases studies, exercises, and media supplements throughout, the text is ideal for upper-level undergraduate and graduate courses in water resource planning and management as well as for practicing planners and engineers in the field.

Book Inexact Programming Methodologies for Water Resources and Enviornmental Management Under Compound Uncertainty

Download or read book Inexact Programming Methodologies for Water Resources and Enviornmental Management Under Compound Uncertainty written by Qian Tan and published by . This book was released on 2011 with total page 1158 pages. Available in PDF, EPUB and Kindle. Book excerpt: The synergy of multiple formats of uncertainties poses a major challenge in the modelling of water resources and environmental management systems. The capacities of existing methods were inadequate for tackling such compound uncertainty and addressing the induced complexities in relevant decision-making processes. Advanced inexact programming techniques are thus desired for supporting water resources and environmental management under compound uncertainty.

Book Statistical Methods in Water Resources

Download or read book Statistical Methods in Water Resources written by D.R. Helsel and published by Elsevier. This book was released on 1993-03-03 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data on water quality and other environmental issues are being collected at an ever-increasing rate. In the past, however, the techniques used by scientists to interpret this data have not progressed as quickly. This is a book of modern statistical methods for analysis of practical problems in water quality and water resources.The last fifteen years have seen major advances in the fields of exploratory data analysis (EDA) and robust statistical methods. The 'real-life' characteristics of environmental data tend to drive analysis towards the use of these methods. These advances are presented in a practical and relevant format. Alternate methods are compared, highlighting the strengths and weaknesses of each as applied to environmental data. Techniques for trend analysis and dealing with water below the detection limit are topics covered, which are of great interest to consultants in water-quality and hydrology, scientists in state, provincial and federal water resources, and geological survey agencies.The practising water resources scientist will find the worked examples using actual field data from case studies of environmental problems, of real value. Exercises at the end of each chapter enable the mechanics of the methodological process to be fully understood, with data sets included on diskette for easy use. The result is a book that is both up-to-date and immediately relevant to ongoing work in the environmental and water sciences.

Book Inexact Mathematical Programming for the Management of Water Resources and Environmental Systems Under Multiple Uncertainties

Download or read book Inexact Mathematical Programming for the Management of Water Resources and Environmental Systems Under Multiple Uncertainties written by Ping Guo and published by . This book was released on 2009 with total page 826 pages. Available in PDF, EPUB and Kindle. Book excerpt: The developed methodologies could help provide decision supports for managing various water resources and environmental management problems. These proposed methods improved upon the existing optimization approaches and had advantages in reflecting multiple uncertainties presented as fuzzy sets, probability distributions, interval parameters, functional intervals, fuzzy random variables, and distributions with fuzzy probabilities as well as their combinations. The obtained solutions were useful for analyzing tradeoffs among various environmental resources and socio-economic objectives, such that desired decision schemes could be identified.

Book Multi stage Programming Under Uncertainty

Download or read book Multi stage Programming Under Uncertainty written by Mostafa Mohamed Nabih El-Agizy and published by . This book was released on 1965 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Water Resources Management and Sustainability

Download or read book Water Resources Management and Sustainability written by Pankaj Kumar and published by Springer Nature. This book was released on 2022-02-02 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Water is the elixir of life and is crucial for sustainable development. Earlier, it was considered to be a limitless or at least a fully renewable natural resource. During the past 20 years, however, there has been tremendous pressure on this precious natural resource mainly due to rapid urbanization, industrialization and the increase in the human population. Together, these have resulted in increasing demand for irrigation, industrial, and household purposes to meet supply-chain requirements. Keeping in mind the scarcity of available water resources in the near future and its impending threats, it has become imperative on the part of scientists in hydrology and allied disciplines such as geography, landscape planning, sustainability science etc. Regional planners and supply chain management experts also must be involved in studying the spatial and temporal nature of the growing demand for water and the future availability for its judicial use and sustainable management. A primary intent of the book is to provide comprehensive scientific knowledge base on water resource management and sustainability. It covers geo-engineering and scientific problems, case studies, and sustainable solutions in the water resources management domain. Additionally and of equal importance, the chapters of the book provide in-depth coverage on water resource vulnerability, water quality, wastewater treatment, application of remote sensing and geographical information systems hydrological modeling and harvesting, climate variability and runoff, sediment discharge and irrigation planning, community participation in water governance, internet of things and machine learning applications for sustainable water resources management. This practical, state-of-the-art reference book is a valuable resource for students, researchers, scientists, policymakers, spatio-temporal designers of water resource systems, various stake holders interested in hydro-climatology and sustainable water resources management.

Book Water Resources Systems Planning and Management

Download or read book Water Resources Systems Planning and Management written by Sharad K. Jain and published by Elsevier. This book was released on 2003-09-12 with total page 883 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is divided into four parts. The first part, Preliminaries, begins by introducing the basic theme of the book. It provides an overview of the current status of water resources utilization, the likely scenario of future demands, and advantages and disadvantages of systems techniques. An understanding of how the hydrological data are measured and processed is important before undertaking any analysis. The discussion is extended to emerging techniques, such as Remote Sensing, GIS, Artificial Neural Networks, and Expert Systems. The statistical tools for data analysis including commonly used probability distributions, parameter estimation, regression and correlation, frequency analysis, and time-series analysis are discussed in a separate chapter. Part 2 Decision Making, is a bouquet of techniques organized in 4 chapters. After discussing optimization and simulation, the techniques of economic analysis are covered. Recently, environmental and social aspects, and rehabilitation and resettlement of project-affected people have come to occupy a central stage in water resources management and any good book is incomplete unless these topics are adequately covered. The concept of rational decision making along with risk, reliability, and uncertainty aspects form subject matter of a chapter. With these analytical tools, the practitioner is well equipped to take a rational decision for water resources utilization. Part 3 deals with Water Resources Planning and Development. This part discusses the concepts of planning, the planning process, integrated planning, public involvement, and reservoir sizing.The last part focuses on Systems Operation and Management. After a resource is developed, it is essential to manage it in the best possible way. Many dams around the world are losing some storage capacity every year due to sedimentation and therefore, the assessment and management of reservoir sedimentation is described in details. No analysis of water resources systems is complete without consideration of water quality. A river basin is the natural unit in which water occurs. The final chapter discusses various issues related to holistic management of a river basin.

Book Decision Making under Deep Uncertainty

Download or read book Decision Making under Deep Uncertainty written by Vincent A. W. J. Marchau and published by Springer. This book was released on 2019-04-04 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.