EBookClubs

Read Books & Download eBooks Full Online

EBookClubs

Read Books & Download eBooks Full Online

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 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 Stochastic Hydrology and its Use in Water Resources Systems Simulation and Optimization

Download or read book Stochastic Hydrology and its Use in Water Resources Systems Simulation and Optimization written by J.B. Marco and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic hydrology is an essential base of water resources systems analysis, due to the inherent randomness of the input, and consequently of the results. These results have to be incorporated in a decision-making process regarding the planning and management of water systems. It is through this application that stochastic hydrology finds its true meaning, otherwise it becomes merely an academic exercise. A set of well known specialists from both stochastic hydrology and water resources systems present a synthesis of the actual knowledge currently used in real-world planning and management. The book is intended for both practitioners and researchers who are willing to apply advanced approaches for incorporating hydrological randomness and uncertainty into the simulation and optimization of water resources systems. (abstract) Stochastic hydrology is a basic tool for water resources systems analysis, due to inherent randomness of the hydrologic cycle. This book contains actual techniques in use for water resources planning and management, incorporating randomness into the decision making process. Optimization and simulation, the classical systems-analysis technologies, are revisited under up-to-date statistical hydrology findings backed by real world applications.

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 Stochastic Water Resources Technology

Download or read book Stochastic Water Resources Technology written by N. T Kottegoda and published by Springer. This book was released on 1980-06-18 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Handbook of Irrigation System Selection for Semi Arid Regions

Download or read book Handbook of Irrigation System Selection for Semi Arid Regions written by Mohammad Albaji and published by CRC Press. This book was released on 2020-07-22 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Irrigation System Selection for Semi-Arid Regions compares the various types of available irrigation systems for different regions and conditions, and explains how to analyze field data to determine the suitability of the land for surface, sprinkle, or drip irrigation systems. The book focuses on strategies for irrigation development and management and examines deficit irrigation and partial root-zone drying systems. Also, solute leaching modeling under different irrigation systems, soil moisture conditions, and organic fertilizer application in arid areas are discussed. Further, it examines multi-criteria decision making for irrigation management and the appraisal of agricultural lands for irrigation in hot, sub-humid regions. Features: Presents comparative analysis to aid in the selection of the most appropriate types of irrigation systems according to land characteristics. Includes numerous practical case studies. Offers parametric evaluation systems for irrigation purposes. Considers data from semi-arid zones, each with different sub-climates. Focusing on semi-arid land, the book highlights parametric evaluation systems for irrigation purposes, along with the use of analytical hierarchy processes integrated with GIS to determine which systems are best suited. This comprehensive and well-illustrated handbook will be of great interest to students, professionals, and researchers involved with all aspects of irrigation in semi-arid regions.

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 Inexact Two Stage Stochastic Optimization

Download or read book Inexact Two Stage Stochastic Optimization written by G. H. Huang (D. P. Loucks, S.-C. Yeh, and B. Bass) and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Stochastic Programming in Water Resources System Planning

Download or read book Stochastic Programming in Water Resources System Planning written by Jitka Dupačová and published by . This book was released on 1986 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Stochastic Optimization and Simulation Techniques for Management of Regional Water Resource Systems

Download or read book Stochastic Optimization and Simulation Techniques for Management of Regional Water Resource Systems written by Texas Water Development Board. Systems Engineering Division and published by . This book was released on 1970 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book A Sampling based Stochastic Programming Approach to Water Resources Management

Download or read book A Sampling based Stochastic Programming Approach to Water Resources Management written by and published by . This book was released on 2005 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Stochastic Programming in Water Resources System Planning

Download or read book Stochastic Programming in Water Resources System Planning written by Jitka Dupac̆ov@a and published by . This book was released on 1986 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: