摘要
结合美国国家航空航天局发布的全球年均PM2.5浓度栅格影像,分析了1998-2016年长江中游综合经济区年均PM2.5浓度时空演化特征,利用Sen+Mann-Kendall趋势检验分析了该区域年均PM2.5浓度变化趋势,采用灰色关联分析法计算了该区域年均PM2.5浓度值与不同类型能源消费总量之间的灰色关联度.趋势分析显示长江中游综合经济区年均PM2.5变化呈不显著上升趋势,不显著上升区域面积占比为40.16%;灰色关联分析法表明长江中游综合经济区与年均PM2.5浓度值灰色关联度最高的能源消费类型是原油.
Based on the global average annual PM2.5 concentration grid image released by National Aeronautics and Space Administration(NASA),spatial-temporal evolution characteristics of the annual average PM2.5 concentration in the middle reaches of the Yangtze River were analyzed from 1998 to 2016.Sen+Mann-Kendall was utilized to analyze the trend in the region,and the grey correlation analysis method was used to calculate the gray correlation between the annual average PM2.5 value and total energy consumption of different types.The trend analysis shows that the average annual PM2.5 change in the area does not increase significantly,the proportion of the area is 40.16%.Gray correlation analysis shows that the most relevant type of energy consumption with annual average PM2.5 concentration is crude oil.
作者
田秋莉
杨玉莲
杨昆
TIAN Qiu-li;YANG Yu-lian;YANG Kun(The Engineering Research Center of GIS Technology in Western China of Ministry of Education of China,Kunming 650500,China;School of Tourism and Geographical Science,Yunnan Normal University,Kunming 650500,China;School of Information,Yunnan Normal University,Kunming 650500,China)
出处
《云南师范大学学报(自然科学版)》
2019年第6期39-45,共7页
Journal of Yunnan Normal University:Natural Sciences Edition
基金
国家自然科学基金资助项目(41461038)
关键词
PM2.5
能源消费
时空演化
趋势分析
灰色关联分析
长江中游综合经济区
PM2.5
Energy consumption structure
Spatial-temporal evolution
Trend analysis
Grey correlation analysis
Middle Yangtze River Comprehensive Economic Zone