Increased mortality from a two-year delay in Mercury and Air Toxics Standards (MATS) emission-reductions of filterable PM2.5 at specific coal-fired power plants in the United States.

IF 3.8 Q2 ENVIRONMENTAL SCIENCES
Environmental Epidemiology Pub Date : 2025-10-07 eCollection Date: 2025-10-01 DOI:10.1097/EE9.0000000000000422
Bujin Bekbulat, Kevin R Cromar, Julian D Marshall
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引用次数: 0

Abstract

Background: In 2024, the US Environmental Protection Agency tightened the Mercury and Air Toxics Standards (MATS) for emissions of filterable particulate matter (fPM) from coal-fired power plants to 0.010 lb/MMBtu. In April 2025, a presidential proclamation stated that 47 specific power plant companies received a 2-year exemption from the new requirements. The proclamation provided no estimates of the resulting health impacts.

Methods: Our approach applies conventional risk-assessment calculations for mortality from inhalation of filterable PM2.5 (fPM2.5) emissions, for "with" versus "without" the exemption, across four steps: (1) calculate fPM2.5 emissions, based on government databases; (2) calculate the change in ambient PM2.5 concentrations, using the Intervention Model for Air Pollution (InMAP) source-receptor matrix (ISRM); (3) calculate mortality impacts from inhalation of PM2.5, using the Orellano et al., 2024 concentration-response function (CRF; relative risk (RR) per 10 μg/m3: 1.095, 95% confidence interval (CI) = 1.064, 1.127; in sensitivity analyses, we employ other CRFs); (4) aggregate results (e.g., by US state).

Results: Most (83%) of the exempted power plant facilities already have sufficient control technology installed that they operate below the new MATS limit, indicating that much of that fleet already adopted cleaner technologies. For the remaining 17% of facilities, the proclamation will increase total fPM2.5 emissions to ~6,900 tons, from ~4,400 tons. We estimate that the additional ~2,500 tons emitted will lead to 32 (95% CI = 22, 43) deaths. The highest mortality is in St. Louis, Missouri, (population: 2.2 million) with an estimated 14 (95% CI = 10,19) deaths. The increased mortality is, for some states (e.g., Missouri, and Pennsylvania), caused by mostly in-state emissions; for other states (e.g., Illinois, Maryland, New Jersey, and Virginia), the cause is out-of-state emissions.

Discussion: Results here quantify a portion of the health impacts but leave unquantified nonmortality impacts, impacts from hazardous air pollutant (HAP) exposures, and noninhalation pathways. The reduced computational demands of the air pollution model employed here allows for more timely investigation of government actions than would traditional air dispersion modeling. Sensitivity analyses yielded mortality results that ranged from 47% lower to 169% higher than the core findings.

Conclusions: We estimate that a 2-year delay in MATS emission reductions of fPM2.5 at the exempted coal-fired power plants will lead to 32 (95% CI = 22, 43) additional deaths.

美国特定燃煤电厂可过滤PM2.5的汞和空气有毒物质标准(MATS)减排延迟两年导致死亡率增加。
背景:2024年,美国环境保护局将燃煤电厂可过滤颗粒物(fPM)排放的汞和空气有毒物质标准(MATS)收紧至0.010 lb/MMBtu。2025年4月,一份总统公告指出,47家特定的发电厂公司获得了2年的新要求豁免。该公告没有提供对由此产生的健康影响的估计。方法:我们的方法采用传统的风险评估计算方法,对吸入可过滤PM2.5 (fPM2.5)排放的死亡率进行了“有”和“没有”豁免,分为四个步骤:(1)根据政府数据库计算fPM2.5排放量;(2)利用空气污染干预模型(InMAP)源受体矩阵(ISRM)计算环境PM2.5浓度的变化;(3)采用Orellano等人的2024浓度-响应函数(CRF)计算PM2.5吸入对死亡率的影响,每10 μg/m3的相对危险度(RR)为1.095,95%置信区间(CI) = 1.064, 1.127;在敏感性分析中,我们采用其他crf);(4)汇总结果(如按美国各州)。结果:大多数(83%)获得豁免的电厂设施已经安装了足够的控制技术,使其运行低于新的MATS限制,这表明大部分电厂已经采用了更清洁的技术。对于其余17%的设施,该公告将把pm2.5的总排放量从约4400吨增加到约6900吨。我们估计,额外的~2,500吨排放将导致32人(95% CI = 22,43)死亡。死亡率最高的是密苏里州圣路易斯市(人口220万),估计有14人(95% CI = 10,19)死亡。在一些州(如密苏里州和宾夕法尼亚州),死亡率的增加主要是由州内排放造成的;对于其他州(如伊利诺斯州、马里兰州、新泽西州和弗吉尼亚州),原因是州外排放。讨论:这里的结果量化了部分健康影响,但未量化非死亡率影响、有害空气污染物(HAP)暴露的影响和非吸入途径。与传统的空气扩散模型相比,这里采用的空气污染模型减少了计算需求,可以更及时地调查政府行为。敏感性分析得出的死亡率结果比核心研究结果低47%至高169%。结论:我们估计,在豁免的燃煤电厂中,延迟两年减少fPM2.5的MATS排放将导致32人(95% CI = 22,43)额外死亡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Environmental Epidemiology
Environmental Epidemiology Medicine-Public Health, Environmental and Occupational Health
CiteScore
5.70
自引率
2.80%
发文量
71
审稿时长
25 weeks
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