|
| 基于Sentinel-5P卫星数据的京津冀及周边地区NO2柱浓度时空特征与影响因素分析 |
| Spatiotemporal Characteristics and Influencing Factors of NO2 Column Concentration in the Beijing Tianjin Hebei Region and Its Surrounding Areas Based on Sentinel 5P Satellite Data |
| |
| DOI： |
| 中文关键词: NO2柱浓度 时空变化 影响因素 Sentinel 5P卫星反演 地理探测器 京津冀及周边地区 |
| 英文关键词: NO2 column concentration Spatiotemporal variation Influence factors Sentinel 5P satellite inversion Geographical detector The Beijing Tianjin Hebei and its surrounding areas |
| 基金项目:国家自然科学基金资助项目（41801318）；河南省高等学校青年骨干教师培养计划基金资助项目（2023GGJS054）；河南理工大学博士基金资助项目（B2017-14） |
|
| 摘要点击次数: 884 |
| 全文下载次数: 155 |
| 中文摘要: |
| 基于Sentinel 5P卫星反演的大气对流层NO2柱浓度数据，利用Sen+MK趋势分析、地理探测器等方法，分析京津冀及周边地区大气NO2柱浓度的时空特征与影响因素。结果表明：Sentinel 5P NO2柱浓度数据与地面NO2质量浓度数据有较强的线性相关性，可以反映地面NO2污染状况；空间上，整体以华北平原为中心向四周呈辐射状递减；时间上，2019—2023年对流层NO2柱浓度呈现周期性波动，并具有“冬高夏低”的特点；对流层NO2柱浓度变化趋势不显著面积占比为742%，显著变化面积占比最少，仅有18%，研究区北部地区呈增加趋势，南部地区呈减少趋势；单因素探测显示，第二产业产值对NO2柱浓度的影响力逐年下降，风向和常住人口的影响力较为稳定，风速和气压的影响力波动上升，降水量的影响力最不稳定且波动较大，降水量和气温的影响力具有“夏强冬弱”的季节性特征；与单因素相比，交互探测的影响力水平显著提升，NO2浓度受多要素耦合驱动。 |
| 英文摘要: |
| Based on the tropospheric NO2 column concentration retrieved from Sentinel 5P satellite， the spatiotemporal characteristics and influencing factors of NO2 column concentration in the atmosphere of the Beijing Tianjin Hebei region and its surrounding areas were analyzed by using Sen + MK trend analysis and geographical detectors. The results showed that NO2 column concentration by Sentinel 5P had a strong linear correlation with NO2 mass concentration on the ground， which could reflect ground level NO2 pollution. Spatially， NO2 concentration generally decreased radially from the center of North China Plain to all directions. Temporally， the tropospheric NO2 column concentration fluctuated periodically from 2019 to 2023， with the characteristic of being “higher in winter and lower in summer”. The proportion of areas with insignificant changes in tropospheric NO2 column concentration was 742%， while that with 〖GK!87mm〗significant changes was the smallest， only 18%. NO2 concentration showed an increasing trend in the northern part of the study area and a decreasing trend in the southern part. Single factor detection showed that the influence of secondary industry output on NO2 column concentration declined annually， the influence of wind direction and permanent res〖HK〗ident population remained stable， the influence of wind speed and air pressure exhibited a fluctuating increase， and rainfall exhibited the most unstable and highly fluctuating influence. The influence of rainfall and air temperature had a seasonal characteristic of “stronger in summer and weaker in winter”. Compared with single factor detection， the influence of interaction detection was significantly enhanced， and NO2 concentration was driven by the coupling of multiple factors. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
