区域大气环境容量资源优化利用的博弈分析

大气环境容量是一种公共资源,合理利用和保护大气环境容量资源是大气环境改善的有效途径.从区域内各城市间的博弈行为出发,利用个人决策模型、整体决策模型、关系模型对区域内大气容量资源进行分析,揭示大气容量资源被过度使用的现象,针对城市监管不力、企业排污严重引起大气污染问题而提出帕累托改进模型,指出大气环境保护需要合作机制,联防联控.     

Institutional Constraints on Cost‐Effective Water Management: Selenium Contamination in Colorado's Lower Arkansas River Valley

Ground and surface water selenium (Se) contamination is problematic throughout the world, leading to harmful impacts on aquatic life, wildlife, livestock, and humans. A groundwater reactive transport model was applied to a regional‐scale irrigated groundwater system in the Lower Arkansas River Basin in southeastern Colorado to identify management practices that remediate Se contamination. The system has levels of surface water and groundwater Se concentrations exceeding the respective chronic standard and guidelines. We evaluate potential solutions by combining the transport model with an assessment of the cost to employ those practices. We use a framework common in economics and engineering fields alike, the Pareto frontier, to show the impact of four different best management practices on the tradeoffs between Se and cost objectives. We then extend that analysis to include institutional constraints that affect the economic feasibility associated with each practice. Results indicate that although water‐reducing strategies have the greatest impact on Se, they are the hardest for farmers to implement given constraints common to western water rights institutions. Therefore, our analysis shows that estimating economic and environmental tradeoffs, as is typically done with a Pareto frontier, will not provide an accurate picture of choices available to farmers where institutional constraints should also be considered.     

Control of TAME reactive distillation using Non-Dominated Sorting Genetic Algorithm-II

The control system performs poor in characteristics and even it becomes unstable, if improper values of the controller tuning constants are used. So it becomes necessary to tune the controller parameters to achieve good control performance with the proper choice of tuning constants. Many control problems involve simultaneous optimization of multiple variables that competing with each other. In this paper, the Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) has been successfully applied to optimization of dynamic state of t-amyl-methyl-ether (TAME) reactive distillation process. This paper presents the tuning of Proportional-Integral-Derivative (PID) controllers by minimizing of two objective functions (overshoot and Integral of Absolute Error (IAE)) through the NSGA-II. Results show that genetic algorithm is more suitable method for optimal control of the TAME reactive distillation columns than traditional methods such as Tyreus-Luyben.     

Benefits of integrating complementarity into priority threat management

Conservation decision tools based on cost‐effectiveness analysis are used to assess threat management strategies for improving species persistence. These approaches rank alternative strategies by their benefit to cost ratio but may fail to identify the optimal sets of strategies to implement under limited budgets because they do not account for redundancies. We devised a multiobjective optimization approach in which the complementarity principle is applied to identify the sets of threat management strategies that protect the most species for any budget. We used our approach to prioritize threat management strategies for 53 species of conservation concern in the Pilbara, Australia. We followed a structured elicitation approach to collect information on the benefits and costs of implementing 17 different conservation strategies during a 3‐day workshop with 49 stakeholders and experts in the biodiversity, conservation, and management of the Pilbara. We compared the performance of our complementarity priority threat management approach with a current cost‐effectiveness ranking approach. A complementary set of 3 strategies: domestic herbivore management, fire management and research, and sanctuaries provided all species with >50% chance of persistence for $4.7 million/year over 20 years. Achieving the same result cost almost twice as much ($9.71 million/year) when strategies were selected by their cost‐effectiveness ranks alone. Our results show that complementarity of management benefits has the potential to double the impact of priority threat management approaches.     

An application of the Pareto method in surveys to diagnose managers’ and workers’ perception of occupational safety and health on selected Polish construction sites

The construction industry is an important sector of the economy in Poland. According to the National Labour Inspectorate (PIP) data of 2014, the number of victims of fatal accidents in the construction sector amounted to 80 as compared with 187 injured in all other sectors of economy in Poland. This article presents the results of surveys on the impact of construction worker behaviour on the occupational safety and health outcomes. The surveys took into account the point of view of both construction site management (tactical level) and construction workers (operational level). For the analysis of results, the method of numerical taxonomy and Pareto charts was employed, which allowed the authors to identify the areas of occupational safety and health at both an operational and a tactical level, in which improvement actions needed to be proposed for workers employed in micro, small, medium and large construction enterprises.     

Cleaner production for continuous digester processes based on hybrid Pareto genetic algorithm

ＩｎｔｒｏｄｕｃｔｉｏｎＷｉｔｈｏｂｓｏｌｅｔｅｔｅｃｈｎｏｌｏｇｙ ,ｅｑｕｉｐｍｅｎｔ,ａｎｄｍａｎａｇｅｍｅｎｔ,Ｃｈｉｎａ′ｓｐｕｌｐａｎｄｐａｐｅｒｉｎｄｕｓｔｒｙｉｓｒｅｃｏｇｎｉｚｅｄａｓｂｅｉｎｇｏｎｅｏｆｔｈｅｍｏｓｔｈｉｇｈｌｙｐｏｌｌｕｔｉｎｇｓｅｃｔｏｒｓ.Ｉｔｓｐｌａｎｔｓｄｉｓｃｈａｒｇｅｄｏｖｅｒ3ｍｉｌｌｉｏｎｔ ａｏｆＣＯＤｉｎ 1 995,ａｃｃｏｕｎｔｉｎｇｆｏｒ 41 .8%ｏｆｔｈｅｏｖｅｒａｌｌｉｎｄｕｓｔｒｙｐｏｌｌｕｔｉｏｎｌｏａｄｏｆＣｈｉｎａ(Ｒｅｎ ,1 998) .Ｉｎｔ…     

Extreme value analysis of Munich air pollution data

We present three different approaches to modelling extreme values of daily air pollution data. We fitted a generalized extreme value distribution to the monthly maxima of daily concentration measures. For the exceedances of a high threshold depending on the data, the parameters of the generalized Pareto distribution were estimated. Accounting for autocorrelation, clusters of exceedances were used. To obtain information about the relationship of the exceedance of the air quality standard and possible predictors we applied logistic regression. Results and their interpretation are given for daily average concentrations of ozone and nitrogen dioxide at two monitoring sites within the city of Munich.     

Environmental and socio-economic evaluation of four different sites for a domestic airport

During World War II, a military airport was built inside the city of Reykjavik. This airport then became the centre of domestic aviation for the whole country. Today, 50 years later, the airport tract has become valuable for urban development. The city government therefore wants the airport relocated. Four different sites have been considered. The first alternative is to maintain the airport in the same place. A second alternative is based on reclaiming land alongside the present airport. A third possible site is in a rugged lava field south of Reykjavik, and the fourth alternative is to move the domestic traffic to Keflavik International Airport about 60 km away. The relocation has become a hot issue in the country. The people living in the countryside want to keep the airport in the same place. On the other hand, people living in Reykjavik see the airport land as valuable potential for urban development close to the city centre. To approach this debate in an orderly fashion, the four sites have been studied from an environmental and socio-economic point of view. The four alternatives are classified by four different categories: (1) economy and capital investment, (2) social impacts, (3) direct environmental consequences, and (4) public safety. Firstly, the last three categories were evaluated and weighted, and all four alternatives graded according to their environmental quality. Secondly, using the results of a separate cost-effectiveness study, a Pareto optimality solution is suggested. Finally, sensitivity analysis was carried out to investigate how the “environmental” factors through their variation can influence the final selection.     

基于帕累托改进的闽江流域生态补偿标准研究

为了消除生态环境保护活动的外部性,借助流域边际价值的概念,得出了使流域实现帕累托最优改进,需要对上游流域保护区进行生态补偿的结论.分析了3种实现帕累托改进的方法:政府对上游补偿、对下游征税同时补偿上游、上下游之间进行谈判.以闽江流域为例,对1999~2013年流域上、下游的区市流域生态环境保护投入和流域相关地区生产总值的数据进行数据统计并分析,结果显示:通过对上游给予补偿同时对下游征税,可以实现流域的帕累托改进,上、下游地区达到各自的效用最大化,即对下游征税额应高于26.026亿元;上下游再用谈判或者达成协议等方式对净收益进行分配.以此实现各自利益最大化,最终达到帕累托最优状态.     

Definition and calculation of uncertainty in ecological process models

We present a method of multi-criteria assessment for the analysis of process model uncertainty that combines analysis of model structure, parameters and data requirements. There are three components in calculation and definition of uncertainty.

(1)

Assessment criteria: Uncertainty in a process model is reduced as the model can simultaneously simulate an increased number of assessment criteria selected to test specific aspects of the theory being investigated, and within acceptable limits set for those criteria. This reduces incomplete specification of the model—the characteristic that a model may explain some, but not all, of the observed features of a phenomenon. The calculation required is computation of the Pareto set which provides the list of simultaneously achieved criteria within specified ranges.