干旱区生态环境知识资源中心(Arid): 2000-2011年中国PM_(2.5)时空演化特征及驱动因素解析

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	2000-2011年中国PM_(2.5)时空演化特征及驱动因素解析
其他题名	Spatio-temporal evolution and the influencing factors of PM_(2.5) in China between 2000 and 2011
	周亮 1; 周成虎 1; 杨帆 2; 王波 3; 孙东琪 1
来源期刊	地理学报
ISSN	0375-5444
出版年	2017
卷号	72 期号:11 页码:2079-2092
中文摘要	高浓度PM_(2.5)是形成雾霾的主要原因之一,科学识别PM_(2.5)浓度的空间异质性与驱动因素对区域大气联动治理意义重大。研究采用2000-2011年NASA大气遥感影像反演的PM_(2.5)数据,结合地统计、地理探测器及GIS空间分析等方法,系统分析了中国2000-2011年PM_(2.5)浓度时空演化格局特征与其驱动因素。结果表明:① 2000-2011年中国PM_(2.5)污染平均浓度一直保持在22.47~28.26 mug/m~3区间,总体呈现先快速增加后趋于稳定的演化态势,2006年是PM_(2.5)浓度值变化的拐点(峰值)。②空间上PM_(2.5)浓度整体呈现北方高于南方,东部高于西部趋势,污染浓度高值区集中分布在黄淮海平原、长三角下游平原、四川盆地与塔克拉玛干沙漠四大区域,其中京津冀地区污染最为严重。③污染浓度重心研究表明PM_(2.5)重心总体呈现快速东移趋势,污染高值区持续向东移动,低值区向西移动,两者重心背向而行,表明东部雾霾污染程度在进一步加剧。④空间自相关分析表明PM_(2.5)年均浓度呈现强烈的局部空间正自相关特性,PM2.5高高集聚区连片分布在黄淮海平原、汾渭盆地、四川盆地及江汉平原地区,PM2.5低低集聚区分布在长城以北的内蒙古、黑龙江、青藏高原、以及台湾、海南与福建等东南沿海及岛屿地区。 ⑤地理探测分析表明气候等自然因素与人类活动共同对PM_(2.5)浓度空间变化产生巨大影响,其中自然地理区位、人口密度、汽车数量、工业烟尘、秸秆燃烧等因子是中国PM_(2.5)浓度空间变化的主要驱动因素。
英文摘要	High concentration of PM_(2.5) has been universally considered as a main cause for haze formation. Therefore, it is important to identify the spatial heterogeneity and influencing factors of PM_(2.5) concentration for the purpose of regional air quality control and management. Using PM_(2.5) data from 2000 to 2011 that is inversed from NASA atmospheric remote sensing images, and employing the methods in geo- statistics, geographic detectors and geo- spatial analysis, this paper reveals the spatio-temporal evolution patterns and driving factors of PM_(2.5) concentration in China. The main findings are as follows: (1) In general, the average concentration of PM_(2.5) in China has increased quickly and reached its peak value in the year of 2006; after that, it has been maintained at around 22.47- 28.26 mug/m~3. (2) PM_(2.5) is strikingly uneven in China, with a higher concentration in North and East than in South and West, respectively. In particular, the areas with a relatively high concentration of PM_(2.5) are mainly the four regions including the Huang- Huai- Hai Plain, the Lower Yangtze River Delta Plain, the Sichuan Basin, and the Taklimakan Desert. Among them, Beijing-Tianjin-Hebei Region has the highest concentration of PM_(2.5). (3) The center of gravity of PM_(2.5) has shown an overall eastward movement trend, which indicates an increasingly serious haze in eastern China. Particularly, the center of gravity of high-value PM_(2.5) is kept on moving eastward, while that of the low-value PM_(2.5) moves westward. (4) The spatial autocorrelation analysis indicates a significantly positive spatial correlation. The "High- High" PM_(2.5) agglomeration areas include the Huang- Huai- Hai Plain, Fenhe-Weihe River Basin, Sichuan Basin, and Jianghan plain regions. The "Low-Low" PM_(2.5) agglomeration areas include Inner Mongolia and Heilongjiang to the north of the Great Wall, Qinghai-Tibet Plateau, and Taiwan, Hainan and Fujian and other southeast coastal and island areas. (5) Geographic detection analysis indicates that both natural and human factors account for the spatial variations of PM_(2.5) concentration. In particular, factors such as natural geographical location, population density, automobile quantity, industrial discharge and straw burning are the main driving forces of PM_(2.5) concentration in China.
中文关键词	大气污染 ; 空间演化 ; 地理探测器 ; 中国
英文关键词	PM_(2.5) PM_(2.5) air pollution tempo-spatial evolution geographical detector China
语种	中文
国家	中国
收录类别	CSCD
WOS类目	ENVIRONMENTAL SCIENCES
WOS研究方向	Environmental Sciences & Ecology
CSCD记录号	CSCD:6109968
来源机构	中国科学院地理科学与资源研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/235761
作者单位	1.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 100101, 中国; 2.南京大学地理与海洋科学学院, 南京, 江苏 210093, 中国; 3.香港大学地理系, 999077, 香港
推荐引用方式 GB/T 7714	周亮,周成虎,杨帆,等. 2000-2011年中国PM_(2.5)时空演化特征及驱动因素解析[J]. 中国科学院地理科学与资源研究所,2017,72(11):2079-2092.
APA	周亮,周成虎,杨帆,王波,&孙东琪.(2017).2000-2011年中国PM_(2.5)时空演化特征及驱动因素解析.地理学报,72(11),2079-2092.
MLA	周亮,et al."2000-2011年中国PM_(2.5)时空演化特征及驱动因素解析".地理学报 72.11(2017):2079-2092.