地理学报 ›› 2015, Vol. 70 ›› Issue (11): 1720-1734.doi: 10.11821/dlxb201511003
收稿日期:
2015-04-16
修回日期:
2015-05-16
出版日期:
2015-11-20
发布日期:
2015-11-25
作者简介:
作者简介:王振波(1980-), 男, 山东禹城人, 博士, 助理研究员, 中国地理学会会员(S110007159A), 主要研究方向为城市化与生态环境效应。E-mail:
基金资助:
Zhenbo WANG1,2(), Chuanglin FANG1,2(
), Guang XU1, Yuepeng PAN3
Received:
2015-04-16
Revised:
2015-05-16
Online:
2015-11-20
Published:
2015-11-25
Supported by:
摘要:
大气霾污染因其对人体健康、生态环境和气候变化的影响而成为全球关注的严重环境问题,PM2.5是中国霾污染频繁的主要原因。过去对国家尺度上PM2.5时空分布的认识主要基于卫星观测,因其反演方法的局限性,卫星资料难以真实反映近地面PM2.5浓度的时空变化规律。本文基于中国2014年190个城市中的945个监测站的PM2.5浓度观测数据,采用空间数据统计模型,揭示了中国PM2.5的时空格局。结果显示,2014年中国城市PM2.5平均浓度61 μg/m3,具有显著的冬秋高、春夏低的“U”型逐月变化规律和周期性U-脉冲型逐日变化规律;中国城市PM2.5浓度呈现显著的空间分异与集聚规律,以及两次南北进退的空间循环周期;胡焕庸线和长江是中国PM2.5浓度高值区和低值区的东西和南北分界线,胡焕庸线以东和长江以北的环渤海城市群、中原城市群、长三角城市群、长江中游城市群和哈长城市群等地区是2014年PM2.5的高污染城市聚集地,京津冀城市群是全年污染核心区;以珠三角为核心的东南沿海地区是稳定的空气质量优良区。
王振波, 方创琳, 许光, 潘月鹏. 2014年中国城市PM2.5浓度的时空变化规律[J]. 地理学报, 2015, 70(11): 1720-1734.
Zhenbo WANG, Chuanglin FANG, Guang XU, Yuepeng PAN. Spatial-temporal characteristics of the PM2.5 in China in 2014[J]. Acta Geographica Sinica, 2015, 70(11): 1720-1734.
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