首页> 外文会议>Annual conference of the International Society of Exposure Science >Blue Skies Bluer? Puzzling implications of a possible supra-linear relationship between PM exposure and mortality
【24h】

Blue Skies Bluer? Puzzling implications of a possible supra-linear relationship between PM exposure and mortality

机译:蓝天布莱尔? PM暴露和死亡率之间可能的Supra-Linear关系的令人费解的影响

获取原文

摘要

Background and Aims: Recent studies raise the possibility that some health endpoints follow supra-linear concentration-response functions (CRFs). Here, we examine implications of supra-linearity for the design of economically efficient policies to reduce health effects associated with PM2.5 exposures. Methods: We compare two classes of recently published CRFs for cardiopulmonary mortality associated with PM-2.5: (1) a conventional log-linear model, and (2) a supra-linear log-log model. Each CRF is used to model the concentration dependence of the marginal health benefit associated with a fixed 1 μg m-3 reduction in ambient PM-2.5. Results: For a log-linear CRF, the marginal health benefit of a 1 μg m-3 reduction in ambient concentrations has weak dependence on the initial level. In contrast, for the supra-linear (log-log) CRF, the marginal health benefit of a 1 μg m-3 improvement is greatest at low concentrations and drops sharply for more polluted conditions. Surprisingly, for a supra-linear CRF, an efficiency-oriented solution might prioritize marginal pollutant improvements in locales with low annual-average concentrations. This unexpected feature of supra-linear CRFs goes against a key assumption in environmental economics that the marginal benefit of pollution control declines with increasing abatement. Conclusions: Several new challenges would arise for science and policy if supra-linear CRFs were demonstrated to exist for PM2.5. To achieve a given level of population health, more stringent controls on ambient PM2.5- levels may be required than previously assumed. Furthermore, individual policies cannot be understood in isolation; reducing emissions at two sources may have a greater benefit than the addition of the benefits of cleaning either source individually. An economically "optimal" pollution abatement strategy might de-emphasize control in the most polluted communities, raising important concerns for environmental justice.
机译:背景和目的:最近的研究提出了一些健康终点遵循同上线性浓度 - 反应功能(CRF)的可能性。在这里,我们研究了超线性度的影响,以实现经济有效的政策,以减少与PM2.5曝光相关的健康效果。方法:我们比较了与PM-2.5相关联的有心肺死亡率的两类最近发表的CRF,以及传统的对数线性模型,以及(2)Supra-Linear Log-log模型。每个CRF用于模拟与固定的1μgm-3减少的边缘健康益处的浓度依赖性,所述周围的PM-2.5的固定的1μgm-3。结果:对于对数线性CRF,环境浓度为1μgM-3降低的边缘健康益处对初始水平依赖性较弱。相反,对于Supra-Logear(Log-Log)CRF,1μgM-3改善的边际健康益处在低浓度下最大,并且对于更污染的条件急剧下降。令人惊讶的是,对于一个效率为导向的溶液,可以优先考虑具有低年平均浓度的地区的边缘污染物改善。 Supra-Linear CRF的这种意外特征反对环境经济学的关键假设,即污染控制的边际效益随着减少的增加而下降。结论:如果对PM2.5证明存在Supra-Linear CRF,则会出现几种新挑战。为了实现给定水平的人口健康,可能需要比以前假定的环境PM2.5-级别的更严格的控制。此外,单独的政策不能被隔离地理解;减少两个来源的排放可能比添加单独清洁源的益处更大的好处。经济上的“最优”污染减排战略可能会在最污染的社区中脱助,对环境司法提高重要问题。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号