2015~2018年中国代表性城市PM<sub>2.5</sub>浓度的城乡差异

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摘要选取中国6大城市群中的11座代表性城市为研究区域，将监测站点划分为城区、郊区和乡村站，进而分析各城市间PM_2.5浓度的城乡差异规律.结果表明，同一城市群各城市之间，或同一城市的城区、郊区、乡村站间PM_2.5日变化皆较为相似.京津冀和长三角地区的城市城区PM_2.5浓度最高，高于郊区7.8%~9.7%，高于乡村11.3%~16.9%，而粤港澳大湾区和内陆城市群（成渝、长江中游、关中平原城市群）的城市郊区PM_2.5浓度最高，高于城区2.6%~11.2%，高于乡村16.7%~26.5%.各城市间城乡PM_2.5浓度差值的日变化规律不尽相同，可呈单峰（如上海）或双峰（如杭州）变化，极值可出现在白天（如广州），亦可在夜间（如深圳）.PM_2.5的排放与传输扩散共同对11城市城乡PM_2.5浓度分布产生影响.

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	姜蕴聪
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	高志球
	赵纯

关键词 ： PM_2.5, 城市群, 城乡PM_2.5浓度差值, 排放, 传输扩散

Abstract：Observation sites in the 11 representative cities from 6 main city clusters in China were selected in this study. These observation sites were categorized into urban, suburban and rural to investigate urban-rural differences in PM_2.5 concentrations. Results showed that the diurnal variation patterns of PM_2.5 were relatively similar in the cities from the same city cluster, and they were also similar among the urban, suburban and rural areas in a specific city. In Jingjinji Megalopolis and Yangtze River Delta Megalopolis, the PM_2.5 concentrations from the urban sites were the highest, 7.8%~9.7% higher than those from the suburban sites and 11.3%~16.9% higher than those from the rural sites. However, in Guangdong-Hong Kong-Macao Greater Bay Area and the inland city clusters (i.e., Chengyu Megalopolis, Middle Yangtze River Valley Megalopolis and Guanzhong Plain Megalopolis), the PM_2.5 concentrations from the suburban sites were the highest, 2.6%~11.2% higher than those from the urban sites and 16.7%~26.5% higher than those from the rural sites. Moreover, different diurnal variation patterns of urban-rural PM_2.5 concentration differences were observed in different cities. For example, the diurnal variation of urban-rural PM_2.5 concentration difference was unimodal in Shanghai but bimodal in Hangzhou. The maximum of urban-rural PM_2.5 concentration difference occurred during the daytime in Guangzhou but during the nighttime in Shenzhen. Further, the PM_2.5 concentration distribution in the urban, suburban and rural areas of the 11representative cities were under the combined effects of PM_2.5 emission, transportation and diffusion.

Key words： PM_2.5 city clusters urban-rural PM_2.5 concentration difference emission transport and diffusion

收稿日期: 2019-04-29

PACS:

X513

基金资助:国家重点研发计划项目（2016YFC0203300）；国家自然科学基金资助项目（41601550）

通讯作者: 王泓,讲师,ixcwang@126.com E-mail: ixcwang@126.com

作者简介: 姜蕴聪(1995-),男,山东省邹城人,南京信息工程大学地理科学学院硕士研究生,主要从事环境地理方向的研究.发表论文1篇.

引用本文:

姜蕴聪, 杨元建, 王泓, 李煜斌, 高志球, 赵纯. 2015~2018年中国代表性城市PM_2.5浓度的城乡差异[J]. 中国环境科学, 2019, 39(11): 4552-4560. JIANG Yun-cong, YANG Yuan-jian, WANG Hong, LI Yu-bin, GAO Zhi-qiu, ZHAO Chun. Urban-rural differences in PM_2.5 concentrations in the representative cities of China during 2015~2018. CHINA ENVIRONMENTAL SCIENCECE, 2019, 39(11): 4552-4560.

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http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2019/V39/I11/4552

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