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中国城市群臭氧污染时空分布研究
引用本文:彭超,廖一兰,张宁旭.中国城市群臭氧污染时空分布研究[J].地球信息科学,2018,20(1):57-67.
作者姓名:彭超  廖一兰  张宁旭
作者单位:1.中国矿业大学(北京)地球科学与测绘工程学院, 北京 1000832. 中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室,北京 1001013. 中国科学院大学, 北京 100049
基金项目:项目基金:国家自然科学基金项目(41471377、41531179、41421001);科技部基础研究计划项目(2014FY121100);资源与环境信息系统国家重点实验室“结合大数据和抽样的空间制图”项目(088RA200YA)
摘    要:随着中国城市建设进程的加快,中国的臭氧(O3)污染逐渐受到重视。城市群是人口大国城镇化的主要空间载体,是城镇化的主体形态。截至2017年3月底,国务院共先后批复了6个国家级城市群,并提出要优化提升东部地区城市群,培育发展中西部地区城市群。另外,新的城市规模划分标准以城区常住人口为统计口径,将城市划分为5类7档。为了研究中国O3污染的时空分布特征以及O3污染与城市群之间的关系,利用地理探测器(Geographical detector)和演化树模型对2014年6月到2017年5月共36个月的O3监测数据进行时空分析。结果表明:中国O3污染水平呈现上升趋势,并在2017年迅速增长,O3已成为仅次于PM2.5的第二大污染因子,且与PM2.5在时间上呈“交错污染”的态势;O3污染超标城市绝大多数集中在城市群区域,其中长江三角洲城市群、京津冀城市群、山东半岛城市群和中原城市群相对突出;O3和PM2.5均不超标的城市主要集中在北部湾城市群和海峡西岸城市群;城市群中人口规模大的城市O3污染较为严重。

关 键 词:O3  时空分布  地理探测器  演化树  城市群  
收稿时间:2017-06-14

Temporal and Spatial Distribution of Ozone Pollution in Chinese Urban Agglomerations
PENG Chao,LIAO Yilan,ZHANG Ningxu.Temporal and Spatial Distribution of Ozone Pollution in Chinese Urban Agglomerations[J].Geo-information Science,2018,20(1):57-67.
Authors:PENG Chao  LIAO Yilan  ZHANG Ningxu
Institution:1. College of Geoscience and Surveying Engineering, China University of Mining & Technology (Beijing), Beijing 100083, China;2. The State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Acadey of Sciences, Beijing 100101, China3. University of Chinese Academy of Science, Beijing 100049, China;
Abstract:With the rapid development of Chinese urban construction, Chinese ozone (O3) pollution received serious attention gradually. The urban agglomeration is the main spatial carrier of the urbanization of the populous country. It is the main form of urbanization. By the end of March 2017, the State Council has approved six state-level urban agglomerations and proposed to optimize the urban agglomerations in the eastern region and cultivate the development of western urban agglomerations. On the other hand, the new division standard of urban scale is to take resident population of the city as the statistical caliber. The city is divided into five categories of seven files. In order to study the temporal and spatial distribution of O3 pollution in China and the relationship between O3 pollution and the city, the geographical detector and the evolution tree model were used to analyze O3 monitoring data from June 2014 to May 2017, totally 36 months. The results show that the level of O3 pollution in China is increasing, and it grows rapidly in 2017, O3 has become the second largest pollution factor after PM2.5, and it appears to be a staggered pollution status with PM2.5 in time. O3 polluted cities are concentrated in the urban agglomeration area, among which the Yangtze River Delta urban agglomeration, the Beijing-Tianjin-Hebei urban agglomeration, the Shandong Peninsula urban agglomeration and the Central Plains urban agglomeration are relatively prominent. Cities of O3 and PM2.5 not exceeding the standard are mainly concentrated in the Beibu Gulf urban agglomeration and the West Straits Urban Agglomeration. O3 pollution in the city of large population scale is more serious and has a negative impact on the surrounding cities.
Keywords:O3  temporal and spatial distribution  geographical detector  evolution tree  urban agglomeration  
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