以运行费用函数为基础制定超标污水收费标准

根据现行的上海市和国家的超标污水征收标准的特点，提出制定新标准的５项原则。新标准的制定方案中，确定以ｙ＝ａ．ｘ＾β费用函数基础；用数理统计等方法，通过对污染排放标准，处理深度和处理费用３者关系的处理，得出二类污染物中，１级收费标准比现行２级收费标准上升３０％、２级收费采用现行标准、３级收费标准比现行标准下降２０－３０％；并提出污染物收费的计算公式，经对方案的论证和测算，说明其有效好的可行性。     

氧化塘合理的设计与操作

氧化塘不但可以低费用的降解废水，而且可以提供有用的生物量，其关键是进行合理的设计、操作和去除污泥．本文综合国外的文献资料，提出合理的设计和操作方案，并且引用国外试验者开发的预测模型；同时提出操作过程加入适当的ＣａＣｌ２化学添加剂可以促进藻类生物量的絮凝，以保证出水的质量和提供可利用的生物量．     

锅炉除尘脱硫及其废水回用系统的经济损益分析

以燃煤锅炉掺烧固硫除尘脱硫及其废水回用系统为研究对象，利用环境系统费用效益分析方法，分析了该系统的环保投入和取得的环境效益。结果表明：对燃烧高硫煤的８０ｔ／ｈ规模的锅炉房，环保费用的现值为３１２６万元，环保效益的现值为９７２９万元，费用与效益之比为１∶３１１。结果说明锅炉掺烧固硫除尘脱硫及其废水循环技术具有很好的经济效益。该分析方法和结果为燃煤锅炉除尘脱硫工艺方案的选择和系统的优化研究提供了基础。     

Game theory approach to optimal capital cost allocation in pollution control

ＧａｍｅｔｈｅｏｒｙａｐｐｒｏａｃｈｔｏｏｐｔｉｍａｌｃａｐｉｔａｌｃｏｓｔａｌｏｃａｔｉｏｎｉｎｐｏｌｕｔｉｏｎｃｏｎｔｒｏｌＣｈｅｎＷｅｎｙｉｎｇＩｎｓｔｉｔｕｔｅｏｆＮｕｃｌｅａｒＥｎｅｒｇｙＴｅｃｈｎｏｌｏｇｙ，ＴｓｉｎｇｈｕａＵｎｉｖｅｒ...     

Biodiversity and industry ecosystem management

The term biodiversity describes the array of interacting, genetically distinct populations and species in a region, the communities they comprise, and the variety of ecosystems of which they are functioning parts. Ecosystem health, a closely related concept, is described in terms of a process identifying biological indicators, end points, and values. The decline of populations or species, an accelerating trend worldwide, can lead to simplification of ecosystem processes, thus threatening the stability and sustainability of ecosystem services directly relevant to human welfare in the chain of economic and ecological relationships. The challenge of addressing issues of such enormous scope and complexity has highlighted the limitations of ecology-as-science. Additionally, biosphere-scale conflicts seem to lie beyond the scope of conventional economics, leading to differences of opinion about the commodity value of biodiversity and of the services that intact ecosystems provide. In the face of these uncertainties, many scientists and economists have adopted principles that clearly assign burdens of proof to those who would promote the loss of biodiversity and that also establish near-trump (preeminent) status for ecological integrity. Electric utility facilities and operations impact biodiversity whenever construction, operation, or maintenance of generation, delivery, and support facilities alters landscapes and habitats and thereby impacts species. Although industry is accustomed to dealing with broad environmental concerns (such as global warming or acid rain), the biodiversity issue invokes hemisphere-wide, regional, local, and site-specific concerns all at the same time. Industry can proactively address these issues of scope and scale in two main ways: first, by aligning strategically with the broad research agenda put forth by informed scientists and institutions; and second, by supporting focused management processes whose results will contribute incrementally to the broader agenda of rebuilding or maintaining biodiversity.     

基于安全投入产出模型的城市安全资源优化策略

城市安全投入与安全经济效益是制约城市安全产出的两个关键因素。为了揭示两者间的关系及其在提高城市安全度方面的作用，笔者借鉴安全经济学理论和方法，在研讨安全投入产出概论的基础上，在安全经济效益不变和安全投入量已知的情况下，提出了建立安全投入产出模型的方法。并以企业为例，从微观上验证了模型的有效性。不仅为城市安全管理决策者提供了制定安全投入目标、确定安全投入效用水平的量化工具，而且更加突出了提高安全经济效益的重要性。同时，提出了建立“资源共享”的城市重大危险源安全应急网络策略，为进一步优化城市安全资源配置和提高资源利用率奠定了基础。     

Estimating the Recreational-Use Value for Hiking in Bellenden Ker National Park, Australia

The recreational-use value of hiking in the Bellenden Ker National Park, Australia has been estimated using a zonal travel cost model. Multiple destination visitors have been accounted for by converting visitors’ own ordinal ranking of the various sites visited to numerical weights, using an expected-value approach. The value of hiking and camping in this national park was found to be $AUS 250,825 per year, or $AUS 144,45 per visitor per year, which is similar to findings from other studies valuing recreational benefits. The management of the park can use these estimates when considering the introduction of a system of user pays fees. In addition, they might be important when decisions need to be made about the allocation of resources for maintenance or upgrade of tracks and facilities.     

A transportation network assessment tool for hazardous material cargo routing: Weighing exposure health risks,proximity to vulnerable areas,delay costs and trucking expenses

The inherent risks associated with accidental releases of hazardous materials during transport have drawn attention and concerns in the recent decades. The aim of this study is to propose a tool for evaluation and comparison of the transportation networks which can be used to assess the routing options between origins and destinations of the cargos for their suitability for transporting hazardous material cargos by tanker trucks and to identify routes which provide lower accidental release risks, lower public exposure risks, and offer economical benefits. Each route segment of transportation networks were evaluated using specific criteria which included health risk and cost of delay in case of an accidental release of materials, trucking cost and proximity to vulnerable areas. Since, the health impact of hazardous materials differ depending on the characteristics of the material being transported as well as release quantities and atmospheric conditions; this paper aimed in providing a tool that can be used to estimate the impact radius (for health risks) after accidental release of hazardous materials by taking into account different atmospheric conditions based on the meteorological data and solar elevation angle. The Gaussian air dispersion model paired with ArcGIS using Python programming were employed to estimate the health risk impact zones by considering the meteorological data, and accordingly to analyze road segments for cost impacts (delay and trucking costs), and the proximity to vulnerable areas. The route assessment tool was demonstrated with a case study. The results of this study can efficiently aid decision makers for transportation of hazardous materials.     

Developing Metapopulation Connectivity Criteria from Genetic and Habitat Data to Recover the Endangered Mexican Wolf

Restoring connectivity between fragmented populations is an important tool for alleviating genetic threats to endangered species. Yet recovery plans typically lack quantitative criteria for ensuring such population connectivity. We demonstrate how models that integrate habitat, genetic, and demographic data can be used to develop connectivity criteria for the endangered Mexican wolf (Canis lupus baileyi), which is currently being restored to the wild from a captive population descended from 7 founders. We used population viability analysis that incorporated pedigree data to evaluate the relation between connectivity and persistence for a restored Mexican wolf metapopulation of 3 populations of equal size. Decreasing dispersal rates greatly increased extinction risk for small populations (<150–200), especially as dispersal rates dropped below 0.5 genetically effective migrants per generation. We compared observed migration rates in the Northern Rocky Mountains (NRM) wolf metapopulation to 2 habitat‐based effective distance metrics, least‐cost and resistance distance. We then used effective distance between potential primary core populations in a restored Mexican wolf metapopulation to evaluate potential dispersal rates. Although potential connectivity was lower in the Mexican wolf versus the NRM wolf metapopulation, a connectivity rate of >0.5 genetically effective migrants per generation may be achievable via natural dispersal under current landscape conditions. When sufficient data are available, these methods allow planners to move beyond general aspirational connectivity goals or rules of thumb to develop objective and measurable connectivity criteria that more effectively support species recovery. The shift from simple connectivity rules of thumb to species‐specific analyses parallels the previous shift from general minimum‐viable‐population thresholds to detailed viability modeling in endangered species recovery planning. Desarrollo de Criterios de Conectividad Metapoblacional a Partir de Datos Genéticos y de Hábitat para Recuperar al Lobo Mexicano en Peligro de Extinción     

Environmental cost of using poor decision metrics to prioritize environmental projects

Conservation decision makers commonly use project‐scoring metrics that are inconsistent with theory on optimal ranking of projects. As a result, there may often be a loss of environmental benefits. We estimated the magnitudes of these losses for various metrics that deviate from theory in ways that are common in practice. These metrics included cases where relevant variables were omitted from the benefits metric, project costs were omitted, and benefits were calculated using a faulty functional form. We estimated distributions of parameters from 129 environmental projects from Australia, New Zealand, and Italy for which detailed analyses had been completed previously. The cost of using poor prioritization metrics (in terms of lost environmental values) was often high—up to 80% in the scenarios we examined. The cost in percentage terms was greater when the budget was smaller. The most costly errors were omitting information about environmental values (up to 31% loss of environmental values), omitting project costs (up to 35% loss), omitting the effectiveness of management actions (up to 9% loss), and using a weighted‐additive decision metric for variables that should be multiplied (up to 23% loss). The latter 3 are errors that occur commonly in real‐world decision metrics, in combination often reducing potential benefits from conservation investments by 30–50%. Uncertainty about parameter values also reduced the benefits from investments in conservation projects but often not by as much as faulty prioritization metrics.