The Experts below are selected from a list of 39840 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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a semi infinite interval stochastic risk management model for river Water Pollution Control under uncertainty
2017Co-Authors: Jing Liu, G H Huang, Y R FanAbstract:In this study, a semi-infinite interval-stochastic risk management (SIRM) model is developed for river Water Pollution Control, where various policy scenarios are explored in response to economic penalties due to randomness and functional intervals. SIRM can also Control the variability of the recourse cost as well as capture the notion of risk in stochastic programming. Then, the SIRM model is applied to Water Pollution Control of the Xiangxihe Watershed. Tradeoffs between risks and benefits are evaluated, indicating any change in the targeted benefit and risk level would yield varied expected benefits. Results disclose that the uncertainty of system components and risk preference of decision makers have significant effects on the Watershed's production generation pattern and pollutant Control schemes as well as system benefit. Decision makers with risk-aversive attitude would accept a lower system benefit (with lower production level and pollutant discharge); a policy based on risk-neutral attitude would lead to a higher system benefit (with higher production level and pollutant discharge). The findings can facilitate the decision makers in identifying desired product generation plans in association with financial risk minimization and Pollution mitigation.
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integrated planning of urban Water resources and Water Pollution Control management case of urumqi china
2016Co-Authors: B Wang, G H Huang, L Liu, Yulei XieAbstract:AbstractWater scarcity and aquatic environment deterioration have become increasingly serious problems in Urumqi, China. To alleviate the conflicts arising from competitive Water users and retard the environment degradation, an optimization model was developed for regional Water resources management under considering the dual total amount of Water quantity and pollutant emissions Control. Water allocation schemes and guarantee rates that combine diverse Water sources and economic activities were obtained through the solutions of the proposed model. The interactions among Water allocation schemes, various activities benefits, and pollutant emissions were analyzed synchronously. Policies for industrial structure adjustment and pollutants emission reduction were acquired through the analysis of the results. The modeling results can be valuable for Water resources planning and justification of the existing industrial structure.
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planning of Water resources management and Pollution Control for heshui river Watershed china a full credibility constrained programming approach
2015Co-Authors: Yimei Zhang, G H HuangAbstract:A key issue facing integrated Water resources management and Water Pollution Control is to address the vague parametric information. A full credibility-based chance-constrained programming (FCCP) method is thus developed by introducing the new concept of credibility into the modeling framework. FCCP can deal with fuzzy parameters appearing concurrently in the objective and both sides of the constraints of the model, but also provide a credibility level indicating how much confidence one can believe the optimal modeling solutions. The method is applied to Heshui River Watershed in the south-central China for demonstration. Results from the case study showed that groundWater would make up for the Water shortage in terms of the shrinking surface Water and rising Water demand, and the optimized total pumpage of groundWater from both alluvial and karst aquifers would exceed 90% of its maximum allowable levels when credibility level is higher than or equal to 0.9. It is also indicated that an increase in credibility level would induce a reduction in cost for surface Water acquisition, a rise in cost from groundWater withdrawal, and negligible variation in cost for Water Pollution Control.
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a recourse based interval fuzzy programming model for point nonpoint source effluent trading under uncertainty
2014Co-Authors: G H Huang, J LiuAbstract:In this study, a recourse-based interval fuzzy programming (RIFP) model is developed for tackling uncertainties expressed as fuzzy, interval, and/or probabilistic forms in an effluent trading program. It can incorporate preregulated Water-Pollution Control policies directly into its optimization process, such that an effective linkage between environmental regulations and economic implications (i.e., penalties) caused by improper policies due to uncertainty existence can be provided. The RIFP model is applied to point-nonpoint source effluent trading of the Xiangxi River in China. The efficiency of trading efforts between Water quality improvement and net system benefit under different degrees of satisfying discharge limits is analyzed. The results are able to help support (1) formulation of Water-Pollution Control strategies under various economic objectives and system-reliability constraints, (2) selection of the desired effluent trading pattern for point and nonpoint sources, and (3) generation of tradeoffs among system benefit, satisfaction degree, and pollutant mitigation under multiple uncertainties. Compared with the traditional regulatory approaches, the results demonstrate that the Water-Pollution Control program can be performed more cost-effectively through trading than nontrading.
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radial interval chance constrained programming for agricultural non point source Water Pollution Control under uncertainty
2011Co-Authors: G H Huang, Qian Tan, Y P CaiAbstract:Inherent uncertainties in agricultural non-point source Water Pollution Control problems cause great difficulties in relevant modeling processes. A radial interval chance-constrained programming (RICCP) approach was developed in this study for supporting source-oriented non-point source Pollution Control under uncertainty. The proposed RICCP approach could tackle two-layer uncertainty resulting from temporal and spatial variability of many factors and their uncertain interactions. Based on the concept of radial intervals and chance-constrained programming, RICCP could reflect the randomness in the bounds of interval parameters, with or without known probability distributions. RICCP could also allow decision makers to adjust the conservativeness of solutions via protection and significance levels, helping satisfy environmental, economic and resource-conservation requirements in a holistic and interactive manner. The proposed methodology has been applied to an agricultural Water Pollution Control case. The most-profit agricultural development strategies were explored while restricting environmental impacts to an acceptable level. A series of interval solutions for agricultural practices were generated corresponding to varied risk levels of constraint violations, which could help screen optimal alternatives according to decision makers' profit and risk considerations as well as various system conditions. RICCP model was also compared to its alternatives. Significant differences in the solutions among the compared models further demonstrated the advantages of the proposed approach.
Hongwei Lu - One of the best experts on this subject based on the ideXlab platform.
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an environmental fairness based optimisation model for the decision support of joint Control over the Water quantity and quality of a river basin
2016Co-Authors: Sen Yu, Li He, Hongwei LuAbstract:Summary This paper presented a new environmental fairness based optimisation model (EFOM) for the decision-support of Water resources management and Water Pollution Control at the Watershed scale. The model integrated three prediction modules for Water consumption and pollutant discharge (WCPD), environmental Gini coefficient (EGC) and Water quality (WASP). The model is capable of optimizing the total discharge quantity in the whole basin and Controlling units both spatially and temporally, and addressing the conflicts between environmental fairness and efficiency. The model was applied to the Songhua River basin, attempting to support decision-making of joint Control over the Water quantity and quality. Validation of the WASP module showed that the simulation agreed well with Water quality monitoring values (2013) in the Harbin section. Results from the EFOM model also indicated that the Water environment in the Harbin section would be improved significantly by effectively Controlling the total Pollution discharge. The identified optimal strategy obtained from the EFOM showed that the percentage of Water in good quality reaches 72% in 2020, suggesting that the strategy would guarantee the planning goals of The China Action Plan for Water Pollution Control to be satisfied. Hence, the modelling under the consideration of environmental fairness can be a new attempt, which is beneficial to optimal joint Control of Water quantity and Water quality at the Watershed scale.
Maohong Fan - One of the best experts on this subject based on the ideXlab platform.
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the current state of Water quality and technology development for Water Pollution Control in china
2010Co-Authors: Maohong FanAbstract:This paper summarizes and presents an overview of the current state of Water Pollution, as well as recent progress and the potential future development of Water Pollution Control technology, in China. Although China has made significant strides in Water environmental protection over the past decades, analysis reveals that Water Pollution in the nation is still not sufficiently Controlled, with a number of surface Waters currently suffering varying degrees of Pollution. High nitrogen and phosphorous concentrations in many great lakes have caused eutrophication problems, and the frequency of blue algal bloom has increased. Likewise, river Pollution has not been effectively Controlled. Nitrogen, phosphorous, organic compounds, and heavy metals are ubiquitous in China's rivers, with up to 80% of urban rivers contaminated to varying degrees—a situation that continues to deteriorate. Next, eutrophication has occurred in many large reservoirs, with numerous toxic substances negatively affecting Water quality. Fi...
Charles S Melching - One of the best experts on this subject based on the ideXlab platform.
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sensitivity analysis of a Water quality model using latin hypercube sampling
2004Co-Authors: Gemma Manache, Charles S MelchingAbstract:Decisions about Water Pollution Control and management in river systems are increasingly based on predictions made with Water quality models. Many uncertainties are associated with the development and calibration of such models and thus affect the model predictions. Therefore it often is necessary to perform a model reliability analysis prior to or as a supplement to model application to Water Pollution Control and planning problems. In this paper, only the effect of parameter uncertainties on model prediction is investigated by applying sensitivity and uncertainty analyses. The Latin hypercube sampling technique in combination with regression and correlation analyses has been applied to the DUFLOW model developed for the Dender River in Belgium. These analyses aim to (1) identify the model parameters that significantly affect the model output uncertainty; (2) define the variables that should be measured for a successful model calibration; and (3) examine how model sensitivity changes with changing level of waste treatment. The results obtained indicate that three parameters related to the algal growth process have the greatest effect on the uncertainty of the simulated dissolved oxygen concentrations in the Dender River.
Peter Steen Mikkelsen - One of the best experts on this subject based on the ideXlab platform.
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properties of extreme point rainfall i results from a rain gauge system in denmark
1995Co-Authors: Poul Harremoes, Peter Steen MikkelsenAbstract:Abstract Extreme rainfall has been recorded by the larger municipalities in Denmark since 1933. National intensity-duration-frequency curves were produced on this basis for engineering application in the whole of Denmark. In 1979, on the initiative of The Danish Water Pollution Control Committee under The Society of Danish Engineers, the old municipal rain gauges for measuring extreme rain were exchanged with a modern system of gauges tabbed electronically from a central computer at The Danish Meteorological Institute. The data have revealed a geographical variability that calls for revision of the engineering application of rainfall data for design. The article describes the engineering purpose and design of sewer systems, the initial data treatment, the results from the first statistical analysis and the consequence for engineering application.
