西安市大气和水污染对人群健康损害的经济价值损失研究

环境污染对人群健康造成损害的经济价值评价一直是学术界讨论的热点．采用不同的价值评估方法-VPLL潜在寿命损失年法、VSL统计生命价值法、WTP支付意愿法对西安市1996—2003年的大气和水污染对人群健康造成的经济损失进行评价。结果表明：1996—2003年。西安市大气和水污染健康损失年平均为228792万-434237万元，占GDP的3．69％-7％。对居民健康有显着影响。     

基于AHP和DEA模型的农业生态效率评价——以无锡市为例

农业面源污染已成为我国重要环境污染源之一,但由于农业面源污染具有分散、面广、周期长、随机性等特点,在评价上存在较大难度。根据生态效率理论,结合农业生产的特点,建立了综合考虑经济效益和环境影响的农业生态效率评价指标体系,并以江苏省无锡市为例,选取该市1998~2008年农业生产和面源污染相关数据,运用偏好锥的数据包络分析模型（DEA）对其农业生态效率进行了评价分析。结果显示：1998~2008年,无锡市农业生态效率呈现先下降后上升的趋势,近三年累计上升幅度达22%。表明近年来无锡市农业面源污染治理成效显著,农业可持续发展水平显著提高。提出的农业生态效率评价体系和方法为进一步推进农业面源污染治理工作提供了依据     

技术进步路径选择与中国制造业出口隐含碳排放强度

本文采用考虑反馈性出口隐含碳的MRIO模型,测算了2000—2011年中国14个制造业行业出口隐含碳排放强度;在此基础上,基于全球价值链(GVC)分工地位的视角,理论分析并实证检验了不同技术进步路径对中国制造业出口隐含碳排放强度的影响。研究发现:中间品进口、自主研发、模仿创新显著降低了中国制造业出口隐含碳排放强度,而国外技术引进和外商直接投资(FDI)对中国制造业出口隐含碳排放强度的影响不显著;提升中国制造业在GVC中的国际分工地位能够显著降低其出口隐含碳排放强度。进一步研究发现,不同技术进步路径对中国制造业出口隐含碳排放强度的作用效果受到制造业在GVC中的国际分工地位的影响,并表现出明显的门槛特征,即只有中国制造业在GVC中的分工地位越过门槛值后,技术进步路径才能显著降低中国制造业出口隐含碳排放强度。此外,将制造业分为知识密集型、资本密集型和劳动密集型三类,发现不同技术进步路径对中国制造业出口隐含碳排放强度还存在着显著的行业差异。因此,中国制造业应充分发挥中间品进口、自主研发、模仿创新在降低中国制造业出口隐含碳排放强度中的作用,在引进FDI和国外技术的过程中,优先考虑引进发达国家的先进低碳制造技术和清洁生产技术。同时,中国制造业还应积极培育自身竞争优势,构建自我主导的国内价值链和区域价值链体系,主动嵌入全球创新链,提升中国制造业在GVC中的国际分工地位。此外,政府应根据技术创新和引进政策在不同制造业行业中的执行效果,有所侧重地制定和实施相关政策。     

我国水污染防治立法理念、机制和制度的创新

面对日益突出的水污染问题,我国现行《水污染防治法》难以适应水污染防治的要求,《水污染防治法》的修订及相关立法问题在国家立法机构、行政部门和环境法学界因而备受关注。对当前我国环境法理论界和实践部门关于水污染防治立法的观点和主张以及相关研究进展和成果进行了系统分析和整理,从为完善我国《水污染防治法》提供立法参考的目的出发,运用概括、分类和归纳的方法,对我国水污染防治立法理念、机制和制度创新进行了分析和归纳,并提出了具体的立法建议。     

基于DEA的城市群环境投入产出效率测度研究

随着产业集群、人口城镇化的发展,我国城市群逐渐形成,城市群的环境污染治理问题也成为影响城镇居民生产生活的重要社会问题.目前,城市群的资金投入与环境污染治理的效率,投入产出中的环境变量对环境污染治理的影响,城市群环境污染治理的效果等问题是我们亟需认知的.基于这些思考,以我国十大城市群环境污染与资金投入的统计数据为实例,采用三阶段数据包络分析(DEA)模型,运用DEA模型的计算软件,基于传统的DEA模型、相似SFA模型和调整后的DEA模型三个步骤进行了探讨.从投入产出的角度对我国十大城市群环境污染治理的技术效率、纯技术效率和规模效率进行了实证分析.结果表明:十大城市群在环境投资与污染治理效率方面存在差异性,以京津冀、长三角、珠三角和山东半岛为代表的东部沿海城市群在投入产出效率上高于其他几个城市群,同时也显示我国十大城市群在环境污染治理效率上还有一定的提升空间.最后,提出了十大城市群在环境投资与污染治理方面的思考.     

Linking Nitrogen Export to Landscape Heterogeneity: The Role of Infrastructure and Storm Flows in a Mediterranean Urban System

Urban ecosystems are often sources of nonpoint source (NPS) nitrogen (N) pollution to aquatic ecosystems. However, N export from urban watersheds is highly variable. Examples of densely urbanized watersheds are not well studied, and these may have comparatively low export rates. Commonly used metrics of landscape heterogeneity may obscure our ability to discern relationships among landscape characteristics that can explain these lower export rates. We expected that differences not often captured by these metrics in the relative cover of vegetation, structures, and impervious surfaces would better explain observed variation in N export. We examined these relationships during storms in residential watersheds. Contrary to expectations, land cover did not directly predict variation in N or water export. Instead, N export was strongly linked to drainage infrastructure density. Our research highlights the role of fine‐scaled landscape attributes, mainly infrastructure, in explaining patterns of N export from densely urbanized watersheds. Changes to hydrologic flow paths by infrastructure explained more variation in N export than land cover. Our findings support further development of landscape ecological models of urban N export that focus on hydrologic modification by infrastructure rather than traditional landscape measures such as land use, as indicators for evaluating patterns of NPS nitrogen pollution in densely urbanized watersheds.     

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.     

欧美经验对我国“十三五”大气污染防治战略的启示

当前,我国大气污染形势严峻,复合型污染特征突出。新修订的《中华人民共和国环境保护法》、《中华人民共和国大气污染防治法》、《环境空气质量标准》以及《大气污染防治行动计划》的发布和实施,对我国大气污染防治工作提出了更高要求。"十三五"时期是我国环境保护负重前行困难期和大有作为关键期,也是我国改善大气环境质量的攻坚期,需要系统谋划大气污染防治战略。欧盟和美国在制定大气污染防治战略时,以改善空气质量为核心,构建了涵盖一次污染物和二次污染物的多污染物目标体系,规定了环境浓度、排放量、直观感受(能见度)、健康以及管理等约束性指标,并且针对大气污染防治政策分析实施的成本与收益,开发相应的模型工具,基于收益成本比进行科学决策。本文对欧美环境规划和战略中的多污染物协同控制目标体系以及大气污染防治政策成本效益评估经验进行梳理,分析我国大气污染防治战略的现状和问题,并提出相关政策建议,以期为解决"心肺之患"、实现环保"十三五"总体目标提供参考。     

基于智能电网大数据的工业企业大气污染排放特征研究

本文尝试构建基于智能电网大数据的工业企业污染排放预测方法。通过分析上海大中型工业企业用电量与工业总产出、工业总产出与主要污染物直接排放量之间的关联关系,本文建立了工业企业基于用电量的直接污染排放清单估算方法。利用此估算方法,可在实时的智能电网大数据基础上估算工业企业直接污染排放量,服务于大气污染的实时预警和预测。本文研究表明,这种清单估算方法可直接应用于工业企业污染的实时防控,既可服务于政府大气污染监测、应急机制启动时防控对象的选择,也可服务于未来的污染物排放权实时交易市场的供需分析等,是大数据在污染防治领域应用的可行路径。     

Molecular tools for bathing water assessment in Europe: Balancing social science research with a rapidly developing environmental science evidence-base

The use of molecular tools, principally qPCR, versus traditional culture-based methods for quantifying microbial parameters (e.g., Fecal Indicator Organisms) in bathing waters generates considerable ongoing debate at the science–policy interface. Advances in science have allowed the development and application of molecular biological methods for rapid (~2 h) quantification of microbial pollution in bathing and recreational waters. In contrast, culture-based methods can take between 18 and 96 h for sample processing. Thus, molecular tools offer an opportunity to provide a more meaningful statement of microbial risk to water-users by providing near-real-time information enabling potentially more informed decision-making with regard to water-based activities. However, complementary studies concerning the potential costs and benefits of adopting rapid methods as a regulatory tool are in short supply. We report on findings from an international Working Group that examined the breadth of social impacts, challenges, and research opportunities associated with the application of molecular tools to bathing water regulations.