首页|基于Sentinel-5P的长三角大气NO2污染特征及影响因子分析

基于Sentinel-5P的长三角大气NO2污染特征及影响因子分析

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基于哨兵-5P(Sentinel-5 Precursor,Sentinel-5P)卫星反演的NO2柱浓度数据,利用Google Earth Engine云平台,结合自然因子和人为社会因子数据,分析长三角地区大气NO2柱浓度的污染特征及影响因素。结果显示:(1)Sentinel-5P卫星反演的NO2柱浓度数据与地面观测站NO2质量浓度具有较好的相关性(r≥0。59,p<0。01),可较为准确地反映长三角地区大气NO2污染状况;(2)长三角的大气N02柱浓度呈现季节性的周期波动,呈"冬高夏低"变化趋势;(3)大气NO2柱浓度具有显著的空间异质性,整体上东北高,西南低,呈现出一条六安至台州,即"西北—东南"方向的NO2柱浓度分界线,以及一个以环太湖城市群为中心的西南向"U形口";(4)植被指数、高程、全社会用电量、第二产业产值、第三产业产值是长三角大气NO2柱浓度空间分布的重要影响因子,区域大气NO2柱浓度受因子交互作用显著,高程及植被指数与其他因子的交互作用q均在0。6以上。
Analysis of air NO2 pollution characteristics and influencing factors in the Yangtze River Delta based on Sentinel-5P
Based on the NO2 column concentration data retrieved by the TROPOMI(Tropospheric Monitoring Instrument)carried by the Sentinel-5P satellite,using the Google Earth Engine platform,combined with natural factors and human-made social factors,the pollution characteristics and influencing factors of atmospheric NO2 column concentration in the Yangtze River Delta region were analyzed by Theil-Sen Median slope estimation,Mann-Kendall trend test,Geodetector.The results show that:(1)The NO2 column concentration data retrieved by the Sentinel-5P satellite has a good correlation with the NO2 mass concentration of ground observation stations(r ≥ 0.59,p<0.01),which can more accurately reflect the atmospheric NO2 pollution in the Yangtze River Delta region.(2)The atmospheric NO2 column concentration in the Yangtze River Delta shows seasonal periodic fluctuations,showing a high in winter and a low in summer change.(3)The column concentration of atmospheric NO2 has significant spatial heterogeneity.On the whole,it is high in the northeast and low in the southwest,showing a NO2 column concentration boundary from Lu'an to Taizhou in the'northwest-southeast'direction,and a southwest'U-shaped'mouth centered on the Taihu Lake urban agglomeration.(4)NDVI,elevation,electricity consumption of the whole society,the output value of the secondary industry,and the output value of the tertiary industry are important factors affecting the spatial distribution of atmospheric NO2 column concentration in the Yangtze River Delta.The regional atmospheric NO2 column concentration was significantly affected by the interaction of factors,and the interaction q values of elevation and NDVI with other factors were all above 0.6.

environmentalologyNO2 pollutionYangtze River Delta regionGoogle Earth EngineGeodetector

曹念文、宋坤杰、方文圣

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南京信息工程大学气象灾害预报预警与评估协同创新中心,南京 210044

环境学 NO2污染 长江三角洲 Google Earth Engine 地理探测器

国家重点研发计划国家重点研发计划

2017YFC02096002018YFC0213100

2024

安全与环境学报
北京理工大学 中国环境科学学会 中国职业安全健康协会

安全与环境学报

CSTPCD北大核心
影响因子:0.943
ISSN:1009-6094
年,卷(期):2024.24(2)
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