我国主要粮产区PM_(2.5)、PM_(10)时空分布特征及影响因素——以河南省为例  

Spatio-temporal distribution and affecting factors of PM_(2.5) and PM_(10) in major grain producing areas in China:A case study of Henan province

作　　者：臧振峰 张凤英[3] 李永华[1] 邢昱 ZANG Zhen-feng;ZHANG Feng-ying;LI Yong-hua;XING Yu(Key Laboratory of Land Surface Pattern and Simulation,Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China;University of Chinese Academy of Sciences,Beijing 100049,China;China National Environmental Monitoring Centre,Beijing 100012,China;Henan Ecological Environmental Monitoring Center,Zhengzhou 450004,China)

机构地区：[1]中国科学院地理科学与资源研究所陆地表层与模拟重点实验室,北京100101 [2]中国科学院大学,北京100049 [3]中国环境监测总站,北京100012 [4]河南省生态环境监测中心,郑州450004

出　　处：《自然资源学报》2021年第5期1163-1175,共13页Journal of Natural Resources

基　　金：中国科学院战略性先导科技专项(A类)(XDA19040303)。

摘　　要：利用2018年河南省PM_(2.5)、PM_(10)监测数据,结合统计学方法及克里格插值技术,分析河南省PM_(2.5)、PM_(10)的时空分布特征及影响因素,结果表明:(1)PM_(2.5)、PM_(10)日均、月均浓度均呈现出"U"型变化特征,PM_(2.5)/PM_(10)月均值呈现出"W"型变化特征,PM_(2.5)、PM_(10)季均浓度及其比值均呈现出冬季>秋季>春季>夏季的规律;(2)PM_(2.5)、PM_(10)月均浓度的空间分布差异较大,而年均浓度则呈现出相似的分布规律,PM_(2.5)/PM_(10)季均值呈现出不同的空间分布规律,总体上东部及东南部较高,中西部区域较低;(3)PM_(2.5)、PM_(10)与NDVI、年降水量呈显著负相关,与人口密度、第二产业占比呈显著正相关。研究结论可为粮产区大气污染防治及粮食安全生产提供重要的科学依据。This research analyzed the spatio-temporal distribution characteristics and the affecting factors of PM_(2.5)and PM_(10)based on the daily monitoring data in Henan province in 2018,and using statistical methods and Kriging interpolation.The results showed that:(1)The daily and monthly average concentrations of PM_(2.5)and PM_(10)showed a U-shaped pattern,and the monthly average of PM_(2.5)/PM_(10)showed a W-shaped pattern.The seasonal average concentrations and ratio of PM_(2.5)and PM_(10)showed the same pattern of winter>autumn>spring>summer.(2)The monthly average concentrations of PM_(2.5)and PM_(10)showed different spatial distribution characteristics,and the spatial distribution varied greatly.However,the spatial distribution of annual average concentration of PM_(10)was similar to that of PM_(2.5).The seasonal average of PM_(2.5)/PM_(10)showed different spatial distribution characteristics,which was generally higher in the east and southeast,and lower in the central and western regions.(3)The correlation analysis showed that PM_(2.5)and PM_(10)were significantly negatively correlated with NDVI and annual precipitation,and significantly positively correlated with population density and the proportion of secondary industry.The conclusions can provide an important scientific basis for air pollution control and food safety production in grain producing areas.

关 键 词：时空分布 PM_(2.5) PM_(10) 河南省 

分 类 号：X513[环境科学与工程—环境工程]