Air pollution in India during COVID-19 lockdown, which imposed on 25th March to 31st May 2020, has brought a significant improvement in air quality. The present paper mainly focuses on the scenario of air pollution level (PM_2.5, PM₁₀, SO₂, NO₂ and O₃) across 57 urban agglomerations (UAs) of India during lockdown. For analysis, India has been divided into six regions - Northern, Western, Central, Southern, Eastern and North-Eastern. Various spatial statistical modelling with composite air quality index (CAQI) have been utilised to examine the spatial pattern of air pollution level. The result shows that concentration of all air pollutants decreased significantly (except O₃) during lockdown. The maximum decrease is the concentration of NO₂ (40%) followed by PM_2.5 (32%), PM₁₀ (24%) and SO₂ (18%). Among 57 UA’s, only five - Panipat (1.00), Ghaziabad (0.76), Delhi (0.74), Gurugram (0.72) and Varanasi (0.71) had least improvement in air pollution level considering entire lockdown period. The outcome of this study has an immense scope to understand the regional scenario of air pollution level and to implement effective strategies for environmental sustainability.

在 2020 年 3 月 25 日至 5 月 31 日实施的 COVID-19 封锁期间，印度的空气污染显着改善了空气质量。本文主要关注封锁期间印度 57 个城市群 (UA)的空气污染水平（PM _2.5、PM ₁₀、SO ₂、NO ₂和 O _{3 ）情景。}为了分析，印度被划分为六个地区——北部、西部、中部、南部、东部和东北部。各种具有复合空气质量指数（CAQI）的空间统计模型已被用于检查空气污染水平的空间格局。结果表明，所有大气污染物浓度均显着下降（O _3除外）) 在锁定期间。降幅最大的是 NO ₂ (40%) 浓度，其次是 PM _2.5 (32%)、PM ₁₀ (24%) 和 SO ₂ (18%)。考虑到整个封锁期间，在 57 个 UA 中，只有 5 个 - 帕尼帕特（1.00）、加济阿巴德（0.76）、德里（0.74）、古尔格拉姆（0.72）和瓦拉纳西（0.71）的空气污染水平改善最少。这项研究的结果对于了解空气污染水平的区域情景和实施有效的环境可持续性战略具有广阔的范围。