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Risk-Based Prioritization among Air Pollution Control Strategies in the Yangtze River Delta, China

机译:长江三角洲空气污染控制策略中基于风险的优先级划分

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Background The Yangtze River Delta (YRD) in China is a densely populated region with recent dramatic increases in energy consumption and atmospheric emissions. Objectives We studied how different emission sectors influence population exposures and the corresponding health risks, to inform air pollution control strategy design. Methods We applied the Community Multiscale Air Quality (CMAQ) Modeling System to model the marginal contribution to baseline concentrations from different sectors. We focused on nitrogen oxide (NOx) control while considering other pollutants that affect fine particulate matter [aerodynamic diameter ≤ 2.5 μm (PM2.5)] and ozone concentrations. We developed concentration–response (C-R) functions for PM2.5 and ozone mortality for China to evaluate the anticipated health benefits. Results In the YRD, health benefits per ton of emission reductions varied significantly across pollutants, with reductions of primary PM2.5 from the industry sector and mobile sources showing the greatest benefits of 0.1 fewer deaths per year per ton of emission reduction. Combining estimates of health benefits per ton with potential emission reductions, the greatest mortality reduction of 12,000 fewer deaths per year [95% confidence interval (CI), 1,200–24,000] was associated with controlling primary PM2.5 emissions from the industry sector and reducing sulfur dioxide (SO2) from the power sector, respectively. Benefits were lower for reducing NOx emissions given lower consequent reductions in the formation of secondary PM2.5 (compared with SO2) and increases in ozone concentrations that would result in the YRD. Conclusions Although uncertainties related to C-R functions are significant, the estimated health benefits of emission reductions in the YRD are substantial, especially for sectors and pollutants with both higher health benefits per unit emission reductions and large potential for emission reductions.
机译:背景技术中国的长江三角洲是一个人口稠密的地区,最近能源消耗和大气排放量急剧增加。目的我们研究了不同的排放部门如何影响人口暴露和相应的健康风险,从而为空气污染控制策略设计提供依据。方法我们应用了社区多尺度空气质量(CMAQ)建模系统来建模不同部门对基线浓度的边际贡献。我们着眼于氮氧化物(NO x )的控制,同时考虑了影响细颗粒物[空气动力学直径≤2.5μm(PM 2.5 )]和臭氧浓度的其他污染物。我们针对中国的PM 2.5 和臭氧死亡率开发了浓度响应(C-R)功能,以评估预期的健康益处。结果在长三角地区,每吨污染物减少的健康收益因污染物而有显着差异,工业部门和移动来源的主要PM 2.5 减少显示出最大的效益,即每吨二氧化碳每年减少的死亡人数为0.1减排。结合每吨健康益处的估计值和潜在的减排量,每年最大的死亡率降低可减少12,000例死亡[95%置信区间(CI),1,200–24,000]与控制主要PM 2.5 排放相关分别来自工业部门和减少电力部门的二氧化硫(SO 2 )。由于减少了次生PM 2.5 的形成(与SO 2 相比)减少和臭氧增加,因此减少NO x 排放的益处较低会导致YRD的浓度。结论尽管与C-R功能相关的不确定性很大,但长三角地区减排量的估计健康收益是巨大的,特别是对于单位排放量减少的健康收益较高且减排潜力较大的行业和污染物。

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