自然资源学报 ›› 2021, Vol. 36 ›› Issue (5): 1163-1175.doi: 10.31497/zrzyxb.20210506

• "中国'三生空间'统筹优化的方法与实践"专栏 • 上一篇    下一篇

我国主要粮产区PM2.5、PM10时空分布特征及影响因素——以河南省为例

臧振峰1,2(), 张凤英3, 李永华1(), 邢昱4   

  1. 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
  • 收稿日期:2020-05-06 修回日期:2020-10-14 出版日期:2021-05-28 发布日期:2021-07-28
  • 通讯作者: 李永华(1971- ),男,湖南衡南人,博士,研究员,博士生导师,研究方向为环境与健康。E-mail: yhli@igsnrr.ac.cn
  • 作者简介:臧振峰(1986- ),男,河南睢县人,博士研究生,研究方向为环境与健康。E-mail: zangfengaa@163.com
  • 基金资助:
    中国科学院战略性先导科技专项(A类)(XDA19040303)

Spatio-temporal distribution and affecting factors of PM2.5 and PM10 in major grain producing areas in China: A case study of Henan province

ZANG Zhen-feng1,2(), ZHANG Feng-ying3, LI Yong-hua1(), XING Yu4   

  1. 1. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. University of Chinese Academy of Sciences, Beijing 100049, China
    3. China National Environmental Monitoring Centre, Beijing 100012, China
    4. Henan Ecological Environmental Monitoring Center, Zhengzhou 450004, China
  • Received:2020-05-06 Revised:2020-10-14 Online:2021-05-28 Published:2021-07-28

摘要:

利用2018年河南省PM2.5、PM10监测数据,结合统计学方法及克里格插值技术,分析河南省PM2.5、PM10的时空分布特征及影响因素,结果表明:(1)PM2.5、PM10日均、月均浓度均呈现出“U”型变化特征,PM2.5/PM10月均值呈现出“W”型变化特征,PM2.5、PM10季均浓度及其比值均呈现出冬季>秋季>春季>夏季的规律;(2)PM2.5、PM10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,PM2.5/PM10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)PM2.5、PM10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。

关键词: 时空分布, PM2.5, PM10, 河南省

Abstract:

This research analyzed the spatio-temporal distribution characteristics and the affecting factors of PM2.5 and PM10 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 PM2.5 and PM10 showed a U-shaped pattern, and the monthly average of PM2.5/PM10 showed a W-shaped pattern. The seasonal average concentrations and ratio of PM2.5 and PM10 showed the same pattern of winter>autumn> spring> summer. (2) The monthly average concentrations of PM2.5 and PM10 showed different spatial distribution characteristics, and the spatial distribution varied greatly. However, the spatial distribution of annual average concentration of PM10 was similar to that of PM2.5. The seasonal average of PM2.5/PM10 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 PM2.5 and PM10 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.

Key words: spatio-temporal distribution, PM2.5, PM10, Henan province