矿产资源型城市工业路径依赖综合诊断方法——基于改进的柯布-道格拉斯生产函数

将矿产资源和生态环境要素纳入常规的柯布-道格拉斯（C-D）生产函数，构建资源-环境-经济综合诊断方法，并应用于以煤炭经济为主的鄂尔多斯市.结果显示，2001~2015年该市综合产出弹性为0.8158，呈规模报酬递减趋势；全市工业路径依赖于2001~2007年处于综合边际收益（MR_KLME）上升过程，2008~2015年进入MR_KLME下降过程.工业增长的生态环境成本明显升高，对MR_KLME起到显著减降作用，导致MR_KLME曲线拐点较常规C-D函数法提前约2~4a.对此，建议加大生态环境保护与治理力度、实施煤炭资源开发总量和强度“双控”等路径依赖破解措施.该方法可纠正由于未考虑资源和环境效应所产生的诊断偏差，有助于更加合理、准确地诊断特定资源型城市工业发展路径依赖的演化特点，并可据此提出有针对性的破解对策.     

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.     

绿色会计视角下能源企业的成本核算优化研究

针对绿色会计视角下能源企业的成本核算优化,介绍了绿色会计视角下能源企业的成本核算,由于能源企业的发展,对环境产生了巨大危害,也导致能源企业由于本身成本过高,这才提出绿色会计,这样才能优化能源企业的成本,可以保证能源企业的可持续发展;同时,也保障了能源企业生态的稳定建设.基于绿色会计视角,探讨了能源企业的绿色成本优化研究,主要包括能源企业坚持绿色会计,确定绿色成本原则,能源企业绿色成本优化条件和能源企业加强绿色会计实践.     

优化城镇污水处理厂运行管理的探讨

结合城镇污水处理厂运行管理经验,探讨通过优化工艺控制、科学合理的生产调度、强化设备管理、加强安全管理和成本管理控制等措施,来实现优化城镇污水处理厂的运行管理;从而有利于污水处理厂实现安全生产、稳定达标、高效运行。通过优化和强化城镇污水处理厂运行管理,不仅有利于充分发挥污水处理厂污水治理的环境效益,在国家节能减排工作中发挥更大的作用;同时有利于污水处理厂进一步降低运行成本、开源节流,实现污水处理厂的可持续发展。     

医院低碳经济管理路径探索研究

在建设两型社会的大背景下,我院积极探索低碳经济管理途径,通过实施‘‘四权分离物品管理机制”、全成本核算、打造数字化医院和低碳医疗等手段初步实现了低碳经济管理,并取得了极大的经济效益和社会效益。     

高中速过滤器的选择

介绍了高中速过滤器的应用环境、工作原理和结构组成,并从结构组成及工艺环境和实际应用性价比方面,提出实际工作时选择高中速过滤器的注意事项。