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中国中原经济区 PM 来源及其对减排策略的响应:对 COVID-19 影响的启示。

Sources of PM and its responses to emission reduction strategies in the Central Plains Economic Region in China: Implications for the impacts of COVID-19.

机构信息

State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China.

State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China; Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.

出版信息

Environ Pollut. 2021 Nov 1;288:117783. doi: 10.1016/j.envpol.2021.117783. Epub 2021 Jul 16.

Abstract

The Central Plains Economic Region (CPER) located along the transport path to the Beijing-Tianjin-Hebei area has experienced severe PM pollution in recent years. However, few modeling studies have been performed on the sources of PM, especially the impacts of emission reduction strategies. In this study, the Nested Air Quality Prediction Model System (NAQPMS) with an online tracer-tagging module was adopted to investigate source sectors of PM and a series of sensitivity tests were conducted to investigate the impacts of different sector-based mitigation strategies on PM pollution. The response surfaces of pollutants to sector-based emission changes were built. The results showed that resident-related sector (resident and agriculture), fugitive dust, traffic and industry emissions were the main sources of PM in Zhengzhou, contributing 49%, 19%, 15% and 13%, respectively. Response surfaces of pollutants to sector-based emission changes in Henan revealed that the combined reduction of resident-related sector and industry emissions efficiently decreased PM in Zhengzhou. However, reduced emissions in only the Henan region barely satisfied the national air quality standard of 75 μg/m, whereas a 50%-60% reduction in resident-related sector and industry emissions over the whole region could reach this goal. On severely polluted days, even a 60% reduction in these two sectors over the whole region was insufficient to satisfy the standard of 75 μg/m. Moreover, a reduction in traffic emissions resulted in an increase in the O concentration. The results of the response surface method showed that PM in Zhengzhou decreased by 19% in response to the COVID-19 lockdown, which approached the observed reduction of 21%, indicating that the response surface method could be employed to study the impacts of the COVID-19 lockdown on air pollution. This study provides a scientific reference for the formulation of pollution mitigation strategies in the CPER.

摘要

中原经济区(CPER)位于通往京津冀地区的交通要道上,近年来经历了严重的 PM 污染。然而,针对 PM 的来源,尤其是针对减排策略的影响,很少有建模研究。本研究采用嵌套空气质量预测模型系统(NAQPMS)与在线示踪剂标记模块,来调查 PM 的源区,并进行了一系列敏感性测试,以调查不同基于部门的减排策略对 PM 污染的影响。建立了污染物对基于部门排放变化的响应面。结果表明,居民相关部门(居民和农业)、扬尘、交通和工业排放是郑州 PM 的主要来源,分别贡献 49%、19%、15%和 13%。河南基于部门排放变化的污染物响应面表明,居民相关部门和工业排放的综合减少可有效降低郑州的 PM。然而,仅减少河南地区的排放量很难满足 75μg/m 的国家空气质量标准,而整个地区居民相关部门和工业排放减少 50%-60%则可以达到这一目标。在污染严重的日子,即使整个地区减少这两个部门的 60%也不足以满足 75μg/m 的标准。此外,交通排放的减少导致 O 浓度增加。响应面方法的结果表明,郑州的 PM 减少了 19%,这与观察到的 21%的减少量接近,表明响应面方法可用于研究 COVID-19 封锁对空气污染的影响。本研究为中原经济区制定污染减排策略提供了科学参考。

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