越南胡志明市NO2排放估计使用建模和OMI卫星数据
Vo Thi Tam Minh1,2, Ly Sy Phu Nguyen3,4
1Faculty of Environment, University of Science, Ho Chi Minh City, Vietnam. vttminh@hcmus.edu.vn.
Bulletin of environmental contamination and toxicology
|November 16, 2025
概括
胡志明市的二氧化 (NO2) 排放量在COVID-19大流行期间有所下降,但此后已经恢复. 这项研究为未来的空气质量控制政策提供了关键数据.
科学领域:
- 环境科学 环境科学
- 大气化学 大气化学
- 遥感 遥感 遥感 遥感
背景情况:
- 二氧化 (NO2) 污染对环境质量和人类健康构成重大风险.
- 二氧化物有助于臭氧的形成和酸雨,影响生态系统.
- 准确的二氧化排放清单对于城市和工业地区至关重要,但数据往往有限.
研究的目的:
- 用卫星数据评估越南胡志明市 (HCMC) 的NO2排放.
- 分析2019年至2024年二氧化排放的空间和时间趋势.
- 评估终身修改积累方法 (LMAM) 对于排放估计的有效性.
主要方法:
- 使用终身修改积累方法 (LMAM) 来分析热层NO2柱数据.
- 雇佣的OMI/Aura卫星数据涵盖2019年至2024年的时间.
- 经验证的LMAM结果与TROPESS化学再分析 (TCR) NOx数据相比.
主要成果:
- 由于COVID-19的封锁,HCMC的NO2排放量在2020年出现下降,排放量从6.56×1015下降到5.79×1015分子cm−2h−1.1.
- 排放集中在城市和工业区.
- 随着经济活动的恢复,在2023-2024年观察到1.3 × 1016分子cm−2h−1的恢复.
- 该LMAM模型与TCRNOx数据 (斯皮尔曼的r ≈0.7) 显示出强烈的相关性.
结论:
- LMAM是分析二氧化排放趋势的可靠方法.
- 社会经济因素,如流行病和经济复苏,显著影响二氧化排放模式.
- 这些发现为开发未来的排放控制策略和库存计划提供了有价值的数据.
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