The Experts below are selected from a list of 168423 Experts worldwide ranked by ideXlab platform
G H Huang - One of the best experts on this subject based on the ideXlab platform.
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multilevel factorial fractional programming for sustainable Water Resources Management
Journal of Water Resources Planning and Management, 2016Co-Authors: Yang Zhou, G H Huang, Brian W BaetzAbstract:AbstractThe need for more efficient Water use has increased in importance with growing Water scarcity and increasing competition among Water users. Measuring the economic efficiency of Water use has become a useful indicator for Water Resources Management at all levels. This study proposes a multilevel factorial fractional programming model to support Water Resources Management under uncertainty. Linear fractional programming is introduced to provide a practical way for taking into account the ratio of economic benefit to Water consumption in the modeling process. This approach allows Water allocation plans to be developed on the basis of the optimal economic efficiency of Water use rather than economic incentives. A multilevel factorial analysis technique is integrated within linear fractional programming framework to deal with data uncertainty. This technique can quantify the individual and interactive effects of uncertain parameters on system performance and help decision makers gain improved insight i...
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planning an agricultural Water Resources Management system a two stage stochastic fractional programming model
Sustainability, 2015Co-Authors: Liang Cui, G H HuangAbstract:Irrigation Water Management is crucial for agricultural production and livelihood security in many regions and countries throughout the world. In this study, a two-stage stochastic fractional programming (TSFP) method is developed for planning an agricultural Water Resources Management system under uncertainty. TSFP can provide an effective linkage between conflicting economic benefits and the associated penalties; it can also balance conflicting objectives and maximize the system marginal benefit with per unit of input under uncertainty. The developed TSFP method is applied to a real case of agricultural Water Resources Management of the Zhangweinan River Basin China, which is one of the main food and cotton producing regions in north China and faces serious Water shortage. The results demonstrate that the TSFP model is advantageous in balancing conflicting objectives and reflecting complicated relationships among multiple system factors. Results also indicate that, under the optimized irrigation target, the optimized Water allocation rate of Minyou Channel and Zhangnan Channel are 57.3% and 42.7%, respectively, which adapts the changes in the actual agricultural Water Resources Management problem. Compared with the inexact two-stage Water Management (ITSP) method, TSFP could more effectively address the sustainable Water Management problem, provide more information regarding tradeoffs between multiple input factors and system benefits, and help the Water managers maintain sustainable Water Resources development of the Zhangweinan River Basin.
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an inexact two stage stochastic programming model for Water Resources Management in nansihu lake basin china
Journal of Environmental Management, 2013Co-Authors: Y L Xie, G H HuangAbstract:In this study, an inexact two-stage Water Resources Management model was developed for multi-regional Water Resources planning in the Nansihu lake Basin, China. Four planning districts, four Water users, and five Water sources were considered in the optimization model, with net system benefit, recourse cost, Water supply cost, and wasteWater treatment cost being analyzed. Methods of interval-parameter programming (IPP) and two-stage stochastic programming (TSP) were incorporated into the model to tackle uncertainties described by both interval values and probability distributions. A number of scenarios corresponding to different river inflow levels were examined, and the results indicated that different inflow levels could lead to different Water allocation schemes with varied system benefit and system-failure risk. In general, the developed model can provide an effective linkage between economic benefits and the associated penalties attributed to the violation of predefined policies. The modeling results were valuable for supporting the adjustment or justification of the existing Water allocation schemes within a complicated Water Resources system under uncertainty.
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an interval parameter two stage stochastic fuzzy program with type 2 membership functions an application to Water Resources Management
Stochastic Environmental Research and Risk Assessment, 2013Co-Authors: S Wang, G H HuangAbstract:This paper presents an interval-parameter two-stage stochastic fuzzy programming with type-2 membership functions (ITSFP–T2MF) approach for supporting Water Resources Management under uncertainty. ITSFP–T2MF is capable not only of dealing with a variety of uncertainties expressed as probability distributions, intervals, and type-2 fuzzy sets, but also of reflecting the complexity of uncertainty presented as the concept of a flexible fuzzy decision. A scenario-based solution method is proposed for solving ITSFP–T2MF, which takes into account different attitudes of decision makers (DMs) towards the objective-function value and constraints. Moreover, the solution method can ensure that no infeasible solutions are included in the results by means of a feasibility test and a constricting algorithm, leading to an enhanced system safety. ITSFP–T2MF is applied to a case study of Water Resources allocation under uncertainty. The results indicate that interval solutions can be obtained under different scenarios, which enhances the diversity of solutions for supporting the decisions of Water Resources allocation. Furthermore, a variety of decision alternatives can be generated under different policies for Water Resources Management, which permits an in-depth policy analysis associated with different levels of economic penalties when the promised Water-allocation targets are violated, and thus helps DMs identify desired Water-allocation plans according to practical situations.
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Development of Optimal Water-Resources Management Strategies for Kaidu-Kongque Watershed under Multiple Uncertainties
Hindawi Limited, 2013Co-Authors: Y. Zhou, G H Huang, Y. HuangAbstract:In this study, an interval-stochastic fractile optimization (ISFO) model is advanced for developing optimal Water-Resources Management strategies under multiple uncertainties. The ISFO model can not only handle uncertainties presented in terms of probability distributions and intervals with possibility distribution boundary, but also quantify subjective information (i.e., expected system benefit preference and risk-averse attitude) from different decision makers. The ISFO model is then applied to a real case of Water-Resources systems planning in Kaidu-kongque Watershed, China, and a number of scenarios with different ecological Water-allocation policies under varied p-necessity fractiles are analyzed. Results indicate that different policies for ecological Water allocation can lead to varied Water supplies, economic penalties, and system benefits. The solutions obtained can help decision makers identify optimized Water-allocation alternatives, alleviate the Water supply-demand conflict, and achieve socioeconomic and ecological sustainability, particularly when limited Water Resources are available for multiple competing users
Lu Chen - One of the best experts on this subject based on the ideXlab platform.
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integrated optimal allocation model for complex adaptive system of Water Resources Management i methodologies
Journal of Hydrology, 2015Co-Authors: Yanlai Zhou, Shenglian Guo, Dedi Liu, Lu ChenAbstract:Summary Due to the adaption, dynamic and multi-objective characteristics of complex Water Resources system, it is a considerable challenge to manage Water Resources in an efficient, equitable and sustainable way. An integrated optimal allocation model is proposed for complex adaptive system of Water Resources Management. The model consists of three modules: (1) an agent-based module for revealing evolution mechanism of complex adaptive system using agent-based, system dynamic and non-dominated sorting genetic algorithm II methods, (2) an optimal module for deriving decision set of Water Resources allocation using multi-objective genetic algorithm, and (3) a multi-objective evaluation module for evaluating the efficiency of the optimal module and selecting the optimal Water Resources allocation scheme using project pursuit method. This study has provided a theoretical framework for adaptive allocation, dynamic allocation and multi-objective optimization for a complex adaptive system of Water Resources Management.
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integrated optimal allocation model for complex adaptive system of Water Resources Management ii case study
Journal of Hydrology, 2015Co-Authors: Yanlai Zhou, Shenglian Guo, Dedi Liu, Lu Chen, Dong WangAbstract:Summary Climate change, rapid economic development and increase of the human population are considered as the major triggers of increasing challenges for Water Resources Management. This proposed integrated optimal allocation model (IOAM) for complex adaptive system of Water Resources Management is applied in Dongjiang River basin located in the Guangdong Province of China. The IOAM is calibrated and validated under baseline period 2010 year and future period 2011–2030 year, respectively. The simulation results indicate that the proposed model can make a trade-off between demand and supply for sustainable development of society, economy, ecology and environment and achieve adaptive Management of Water Resources allocation. The optimal scheme derived by multi-objective evaluation is recommended for decision-makers in order to maximize the comprehensive benefits of Water Resources Management.
David Tabara - One of the best experts on this subject based on the ideXlab platform.
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the growing importance of social learning in Water Resources Management and sustainability science
Ecology and Society, 2008Co-Authors: Claudia Pahlwostl, Erik Mostert, David TabaraAbstract:Guest Editorial, part of a Special Feature on Social Learning in Water Resources Management.
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social learning and Water Resources Management
Ecology and Society, 2007Co-Authors: Claudia Pahlwostl, Erik Mostert, David Tabara, Marc Craps, Art Dewulf, Tharsi TaillieuAbstract:Natural Resources Management in general, and Water Resources Management in particular, are currently undergoing a major paradigm shift. Management practices have largely been developed and implemented by experts using technical means based on designing systems that can be predicted and controlled. In recent years, stakeholder involvement has gained increasing importance. Collaborative governance is considered to be more appropriate for integrated and adaptive Management regimes needed to cope with the complexity of social-ecological systems. The paper presents a concept for social learning and collaborative governance developed in the European project HarmoniCOP (Harmonizing COllaborative Planning). The concept is rooted in the more interpretive strands of the social sciences emphasizing the context dependence of knowledge. The role of frames and boundary Management in processes of learning at different levels and time scales is investigated. The foundation of social learning as investigated in the HarmoniCOP project is multiparty collaboration processes that are perceived to be the nuclei of learning processes. Such processes take place in networks or “communities of practice” and are influenced by the governance structure in which they are embedded. Requirements for social learning include institutional settings that guarantee some degree of stability and certainty without being rigid and inflexible. Our analyses, which are based on conceptual considerations and empirical insights, suggest that the development of such institutional settings involves continued processes of social learning. In these processes, stakeholders at different scales are connected in flexible networks that allow them to develop the capacity and trust they need to collaborate in a wide range of formal and informal relationships ranging from formal legal structures and contracts to informal, voluntary agreements.
Yanlai Zhou - One of the best experts on this subject based on the ideXlab platform.
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integrated optimal allocation model for complex adaptive system of Water Resources Management i methodologies
Journal of Hydrology, 2015Co-Authors: Yanlai Zhou, Shenglian Guo, Dedi Liu, Lu ChenAbstract:Summary Due to the adaption, dynamic and multi-objective characteristics of complex Water Resources system, it is a considerable challenge to manage Water Resources in an efficient, equitable and sustainable way. An integrated optimal allocation model is proposed for complex adaptive system of Water Resources Management. The model consists of three modules: (1) an agent-based module for revealing evolution mechanism of complex adaptive system using agent-based, system dynamic and non-dominated sorting genetic algorithm II methods, (2) an optimal module for deriving decision set of Water Resources allocation using multi-objective genetic algorithm, and (3) a multi-objective evaluation module for evaluating the efficiency of the optimal module and selecting the optimal Water Resources allocation scheme using project pursuit method. This study has provided a theoretical framework for adaptive allocation, dynamic allocation and multi-objective optimization for a complex adaptive system of Water Resources Management.
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integrated optimal allocation model for complex adaptive system of Water Resources Management ii case study
Journal of Hydrology, 2015Co-Authors: Yanlai Zhou, Shenglian Guo, Dedi Liu, Lu Chen, Dong WangAbstract:Summary Climate change, rapid economic development and increase of the human population are considered as the major triggers of increasing challenges for Water Resources Management. This proposed integrated optimal allocation model (IOAM) for complex adaptive system of Water Resources Management is applied in Dongjiang River basin located in the Guangdong Province of China. The IOAM is calibrated and validated under baseline period 2010 year and future period 2011–2030 year, respectively. The simulation results indicate that the proposed model can make a trade-off between demand and supply for sustainable development of society, economy, ecology and environment and achieve adaptive Management of Water Resources allocation. The optimal scheme derived by multi-objective evaluation is recommended for decision-makers in order to maximize the comprehensive benefits of Water Resources Management.
Claudia Pahlwostl - One of the best experts on this subject based on the ideXlab platform.
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the growing importance of social learning in Water Resources Management and sustainability science
Ecology and Society, 2008Co-Authors: Claudia Pahlwostl, Erik Mostert, David TabaraAbstract:Guest Editorial, part of a Special Feature on Social Learning in Water Resources Management.
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social learning and Water Resources Management
Ecology and Society, 2007Co-Authors: Claudia Pahlwostl, Erik Mostert, David Tabara, Marc Craps, Art Dewulf, Tharsi TaillieuAbstract:Natural Resources Management in general, and Water Resources Management in particular, are currently undergoing a major paradigm shift. Management practices have largely been developed and implemented by experts using technical means based on designing systems that can be predicted and controlled. In recent years, stakeholder involvement has gained increasing importance. Collaborative governance is considered to be more appropriate for integrated and adaptive Management regimes needed to cope with the complexity of social-ecological systems. The paper presents a concept for social learning and collaborative governance developed in the European project HarmoniCOP (Harmonizing COllaborative Planning). The concept is rooted in the more interpretive strands of the social sciences emphasizing the context dependence of knowledge. The role of frames and boundary Management in processes of learning at different levels and time scales is investigated. The foundation of social learning as investigated in the HarmoniCOP project is multiparty collaboration processes that are perceived to be the nuclei of learning processes. Such processes take place in networks or “communities of practice” and are influenced by the governance structure in which they are embedded. Requirements for social learning include institutional settings that guarantee some degree of stability and certainty without being rigid and inflexible. Our analyses, which are based on conceptual considerations and empirical insights, suggest that the development of such institutional settings involves continued processes of social learning. In these processes, stakeholders at different scales are connected in flexible networks that allow them to develop the capacity and trust they need to collaborate in a wide range of formal and informal relationships ranging from formal legal structures and contracts to informal, voluntary agreements.
