大气与环境光学学报 ›› 2023, Vol. 18 ›› Issue (6): 553-568.doi: 10.3969/j.issn.1673-6141.2023.06.005

• 环境光学监测技术 • 上一篇    下一篇

基于OMI的陕甘宁地区NO2时空分布及影响因素分析

吴雅睿* , 王虎 , 王美景   

  1. 西安科技大学测绘科学与技术学院, 陕西 西安 710054
  • 收稿日期:2022-02-22 修回日期:2022-04-05 出版日期:2023-11-28 发布日期:2023-12-04
  • 通讯作者: E-mail: wuyarui@xust.edu.cn E-mail:wuyarui@xust.edu.cn
  • 作者简介:吴雅睿 (1984- ), 女, 河北廊坊人, 博士, 副教授, 主要从事环境监测与治理的研究。E-mail: wuyarui@xust.edu.cn
  • 基金资助:
    陕西省教育厅自然科学基金项目 (17JK0494)

Spatio-temporal variation and impact factors of tropospheric NO2 column density in Shaanxi-Gansu-Ningxia region based on OMI satellite data

WU Yarui*, WANG Hu, WANG Meijing   

  1. College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China
  • Received:2022-02-22 Revised:2022-04-05 Online:2023-11-28 Published:2023-12-04
  • Contact: Ya-rui WU E-mail:wuyarui@xust.edu.cn

摘要: 为获取NO2时空分布特征并探究NO2污染状况, 利用臭氧观测仪 (OMI) 反演的对流层NO2柱浓度数据, 并结 合气象、能源及交通排放等统计数据, 通过地理空间分析、线性拟合、相关性分析等手段, 分析了2005―2019 年陕甘宁 地区NO2柱浓度的时间变化趋势、空间分布特征及其影响因素。结果表明: 近15 年NO2柱浓度总体呈先上升后下降的 趋势; 季节上呈现为冬季 > 秋季 > 春季 > 夏季, 其中夏季变化平稳, 冬季波动剧烈。从空间分布来看, NO2柱浓度较 高区域分布在省会及附近区域, 以西安城市群集聚现象最为明显。进一步影响因素分析表明, 地形与风向对NO2空间 分布有一定的综合影响力; 气温、降雨量与NO2柱浓度均呈现出明显的负相关, 说明高温、降雨对NO2浓度具有削减作 用; 煤炭消耗量、工业产值、机动车保有量均与NO2柱浓度呈正相关, 说明化石能源燃烧、机动车尾气排放是该地区 NO2的重要来源; 而2012 年后的NO2柱浓度持续下降, 主要与国家及地方相关政策的强力实施有关。

关键词: 对流层NO2柱浓度, 臭氧观测仪, 陕甘宁地区, 时空特征

Abstract: In order to obtain the spatial and temporal distribution characteristics of NO2 and explore its pollution status, based on the tropospheric NO2 column concentration data from the Ozone Observation Instrument (OMI), and the corresponding meteorology, energy, traffic emissions and other statistical data, the temporal trends, spatial distribution characteristics and influencing factors of NO2 column concentrations in Shaanxi-Gansu-Ningxia region, China, from 2005 to 2019 were analyzed through geospatial analysis, linear fitting, correlation analysis and so on. The results show that the NO2 column concentrations in the past 15 years show a general trend of first rising and then falling. Seasonally, the variation of NO2 column concentrations presents as winter > autumn > spring > summer, with stable changes in summer and intense fluctuations in winter. In terms of spatial distribution, the high NO2 column concentration areas are distributed in the provincial capital and nearby regions, with the Xi'an urban agglomeration being the most obvious. Further analysis of influencing factors shows that topography and wind direction have a certain comprehensive influence on the spatial distribution of NO2. There is a significant negative correlation between temperature, rainfall and NO2 column concentration, indicating that high temperature and rainfall have a reducing effect on NO2 concentration. While coal consumption, industrial output value and motor vehicle ownership all show a positive correlation with NO2 column concentration, indicating that fossil energy combustion and motor vehicle exhaust emissions are important sources of NO2 in the region. The continuous decrease in NO2 column concentration after 2012 is deduced to be mainly related to the strong implementation of relevant national and local policies.

Key words: tropospheric NO2 column concentration, ozone monitoring instrument, Shaanxi-Gansu- Ningxia region, spatio-temporal distribution characteristics

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