基于TROPOMI数据分析四川盆地NO2排放特征

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  • 1. 成都信息工程大学大气科学学院,高原大气与环境四川省重点实验室,四川 成都 610225
    2. 中国科学院成都山地灾害与环境研究所,四川 成都 610041
    3. 内蒙古乌兰察布市集宁区园林环卫服务中心,内蒙古 乌兰察布 012000

网络出版日期: 2024-10-21

基金资助

国家自然科学基金项目(42175174);四川省自然科学基金资助项目(2022NSFSC1092);成都信息工程大学科技创新能力提升计划项目(KYQN202239);国家留学基金资助项目

Characterization of NO2 Emissions in the Sichuan Basin based on TROPOMI Data

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  • 1. Plateau Atmosphere and Environment Key Laboratory of Sichuan ProvinceSchool of Atmospheric SciencesChengdu University of Information TechnologyChengdu 610225SichuanChina
    2. Institute of Mountain Hazards and EnvironmentChinese academic scienceChengdu 610041ChinaHeavy Rain and DroughtFlood Disasters in Plateau and Basin Key Laboratory of Sichuan ProvinceChengdu 610041SichuanChina
    3. Jining district garden sanitation service centerInner Mongolia UlanqabUlanqab 012000Inner MongoliaChina

Online published: 2024-10-21

摘要

基于TROPOMI NO2对流层垂直柱浓度卫星数据针对2019年四川盆地区域对流层NO2柱浓度的时空演变特征进行了分析,并结合高分辨率排放清单和WRF-CMAQ模型对四川盆地NOx排放清单的不确定性进行了初步评估。结果表明,2019年四川盆地对流层NO2柱浓度高值区主要集中在成都平原,川南城市群和重庆市等人为源活动强烈的地区,盆地中部地区则相对清洁。受气象条件和人为源排放的共同影响,四川盆地冬季和春季的NO2柱浓度明显高于夏季和秋季。对比高分辨率WRF-CMAQ模型模拟的1NO2柱浓度与TROPOMI反演的1NO2柱浓度,TROPOMI观测的对流层NO2柱浓度在川东北城市群等清洁地区与CMAQ模型具有高度一致性,但对成都市和重庆市等高人为源排放的城市则表现为明显高于 CMAQ模拟柱浓度,表明人为源清单能较好地反映中型城市和经济欠发展地区NO2排放特征但对特大城市的NO2排放可能存在低估。综合分析结果表明,在下一阶段应在严格控制特大城市(成都市和重庆市)NOx排放量的同时加强对四川盆地中型城市NOx排放控制。

本文引用格式

杨显玉, 贲秉政, 吕雅琼, 王 松, 王文雷, 胡 芩, 文 军, 杨 童, 王梓奕, 李美霞 . 基于TROPOMI数据分析四川盆地NO2排放特征[J]. 高原气象, 0 : 1 . DOI: 10. 7522/j. issn. 1000-0534. 2024. 00033

Abstract

This study utilizes a high-resolution emission inventory and the WRF-CMAQ modeling system to analyze the temporal and spatial evolution of tropospheric NO₂ vertical column densityVCDderived from TRO‐ POMI satellite data. It also provides a preliminary assessment of the uncertainty in the NOemission inventory for the Sichuan Basin in 2019. The findings reveal elevated tropospheric NO₂ VCD in areas with intense anthropogenic activityincluding the Chengdu Plainsouthern Sichuan's urban clustersand Chongqingwhile the central Sichuan Basin remains relatively clean. Seasonal variationsinfluenced by both meteorological conditions and anthropogenic emissionsshow significantly higher NO₂ VCD in winter and spring compared to summer and autumn. A comparison between the WRF-CMAQ model and TROPOMI satellite data for January 2019 indicates strong agreement in cleaner regionsthough TROPOMI reports notably higher NO₂ VCD in high-emission cities such as Chengdu and Chongqingsuggesting that the emission inventory may underestimate NOemissions in megacities. This work underscores the need for stringent NOemission controls in major citiessuch as Chengdu and Chongqingwhile also emphasizing the urgency of enhancing emission controls in medium-sized cities across the Sichuan Basin.

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