[1]陶雨婷,吴云清.基于Moran’I指数的全国空气质量时空格局分析[J].自然灾害学报,2018,(05):107-113.[doi:10.13577/j.jnd.2018.0513]
 TAO Yuting,WU Yunqing.Spatial-temporal patterns of national air quality based on Moran’I[J].,2018,(05):107-113.[doi:10.13577/j.jnd.2018.0513]
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基于Moran’I指数的全国空气质量时空格局分析
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《自然灾害学报》[ISSN:/CN:23-1324/X]

卷:
期数:
2018年05期
页码:
107-113
栏目:
出版日期:
2018-10-28

文章信息/Info

Title:
Spatial-temporal patterns of national air quality based on Moran’I
作者:
陶雨婷 吴云清
南京工业大学 测绘科学与技术学院, 江苏 南京 211800
Author(s):
TAO Yuting WU Yunqing
College of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211800, China
关键词:
大气污染多元线性回归时空特征AQI空间自相关
Keywords:
air pollutionmultiple linear regressionspatio-temporal patternsAQIspatial autocorrelation
分类号:
X51
DOI:
10.13577/j.jnd.2018.0513
摘要:
本文选取全国31个具有代表性的各省省会城市及直辖市数据,以点代面在大尺度进行空气质量研究。首先对2013—2015年空气污染物进行数据预处理,利用多元线性回归算法建立分析模型筛选出主要空气污染物,观察其时空特征分布。基于莫兰指数分析方法得出污染物的空间相关性与聚集度状况,最后讨论了空气质量影响因子与影响程度。研究表明:(1)长时间序列上东南沿海部分地区及西部地区空气质量一直保持优级,空气质量呈现逐步优化趋势。(2)污染物PM2.5高/高集聚主要存在于河北河南省与山东省三个省份交界处,污染物PM10的高集聚地区主要是华北地区。低/低集聚的现象主要分布在广东省以及部分东南沿海区域。(3)自然因素和社会因素都对于空气污染物的产生有着一定影响,降水与年末人口数对空气质量的影响最为显著。本文研究结果希望为摸清空气质量格局、缓解空气污染程度提供参考。
Abstract:
In this paper, 31 representative cities and municipalities in different provinces are selected to conduct air quality study on a large scale. Firstly, the data of air pollutants from 2013 to 2015 was preprocessed, and multiple linear regression algorithm was used to establish an analysis model.Then the main air pollutants were screened out and their spatio-temporal characteristics were observed. Based on Moran’I, the spatial correlation and agglomeration degree of pollutants were obtained. Finally, the influence factors of air quality were discussed. Research shows that:(1) The air quality in some parts of the southeastern coastal areas and the western areas has maintained excellent over a long period of time, and the air quality has gradually optimized. (2) The high/high concentrations of PM2.5 mainly exists at the junction of Henan Province and Shandong Province. The high concentration area of PM10 is mainly in North China. The phenomenon of low/low agglomeration is mainly distributed in Guangdong Province and parts of the southeast coastal areas. (3) Both natural and social factors have a certain impact on the production of air pollutants. Factors of precipitation and population have the most significant effect on the air quality. The results of this study hope to provide references to find out air quality patterns and alleviate air pollution.

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备注/Memo

备注/Memo:
收稿日期:2018-05-16;改回日期:2018-06-11。
基金项目:国家自然科学基金项目(41401185)
作者简介:陶雨婷(1995-),女,硕士研究生,主要从事GIS与城市环境、城市防灾研究.E-mail:taoyuting52@163.com
通讯作者:吴云清(1976-),女,副教授,博士,主要从事区域规划,城市防灾与公共安全研究.E-mail:njwuyunqing@163.com
更新日期/Last Update: 1900-01-01