<p>Nitrogen dioxide (NO₂) in the air at concentrations exceeding permissible levels impacts environmental quality and human health. In addition, NO₂ is also a precursor to ozone and an agent that creates acid rain that affects the habitat of organisms. NO₂ emission inventories are the first and most important step, especially in urban or industrial production areas. This study assesses NO₂ emissions in Ho Chi Minh City (HCMC), Vietnam—a large city with high traffic and industrial activity but limited published emission data. Using the Lifetime-Modified Accumulation Method (LMAM), we analyze tropospheric NO₂ column data from the OMI/Aura satellite (2019–2024) to estimate spatial and temporal emission trends. The results showed an average emission rate of 6.56 × 10<sup>15</sup> molecules cm⁻<sup>2</sup>&#xa0;h⁻<sup>1</sup> in 2019, decreasing to 5.79 × 10<sup>15</sup> molecules cm⁻<sup>2</sup>&#xa0;h⁻<sup>1</sup> in 2020 due to the COVID-19 lockdown. Emissions were highest in urban and industrial areas and lowest in suburban areas. The LMAM model demonstrated a strong correlation with TROPESS Chemical Reanalysis (TCR) NO<sub>x</sub> data (Spearman’s r = 0.71 in 2019; r = 0.70 in 2020), confirming its reliability for trend analysis. Long-term trends reflect the socioeconomic impact: a sharp decline during the pandemic (2020–2021) followed by a recovery to 1.3 × 10<sup>1</sup>⁶ molecules cm⁻<sup>2</sup>&#xa0;h⁻<sup>1</sup> in 2023–2024 when economic activities resume. This result can provide information on NO₂ emissions as a reference for future city emission control policies and inventory plans.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

NO₂ Emission Estimation in Ho Chi Minh City, Vietnam Using Modeling and OMI Satellite Data

  • Vo Thi Tam Minh,
  • Ly Sy Phu Nguyen

摘要

Nitrogen dioxide (NO₂) in the air at concentrations exceeding permissible levels impacts environmental quality and human health. In addition, NO₂ is also a precursor to ozone and an agent that creates acid rain that affects the habitat of organisms. NO₂ emission inventories are the first and most important step, especially in urban or industrial production areas. This study assesses NO₂ emissions in Ho Chi Minh City (HCMC), Vietnam—a large city with high traffic and industrial activity but limited published emission data. Using the Lifetime-Modified Accumulation Method (LMAM), we analyze tropospheric NO₂ column data from the OMI/Aura satellite (2019–2024) to estimate spatial and temporal emission trends. The results showed an average emission rate of 6.56 × 1015 molecules cm⁻2 h⁻1 in 2019, decreasing to 5.79 × 1015 molecules cm⁻2 h⁻1 in 2020 due to the COVID-19 lockdown. Emissions were highest in urban and industrial areas and lowest in suburban areas. The LMAM model demonstrated a strong correlation with TROPESS Chemical Reanalysis (TCR) NOx data (Spearman’s r = 0.71 in 2019; r = 0.70 in 2020), confirming its reliability for trend analysis. Long-term trends reflect the socioeconomic impact: a sharp decline during the pandemic (2020–2021) followed by a recovery to 1.3 × 101⁶ molecules cm⁻2 h⁻1 in 2023–2024 when economic activities resume. This result can provide information on NO₂ emissions as a reference for future city emission control policies and inventory plans.