Air pollution potential indicates the ability of the atmosphere to disperse the pollutants depends on mixing height and wind speed. This parameter is essential for air dispersion modeling, mitigating air pollution, i.e., reducing harmful effects on human health, and potential site selection for establishing new industries. Five-year (2015–2019) mean monthly, seasonal, and annual maps of ventilation coefficient (VC) and air pollution potential index (APPI) were prepared for the first time for India using the inputs from daily data of planetary boundary layer height (PBLH) derived using CrIS onboard SOUMI-NPP satellite and wind speed from ERA-5. Climatology of VC and APPI over 14 cities in India was also analyzed. Below medium to very low pollution potential (VC: 6000 to > 10,000 m²/s) has been observed at the east coast of Andhra Pradesh and Tamilnadu (TN) during the winter and most of western India and New Delhi during the summer monsoon. During pre-monsoon, western Gujarat, southwest of Rajasthan, and parts of Indo-Gangetic Plains show below medium to low pollution potential. Below medium pollution potential is observed at the east coast of TN during the post-monsoon season. Annual averages of VC and APPI suggest east coastal TN and western Gujarat consistently are below medium to very low pollution potential zone, indicating their suitability for setting up new industries. Annual average VC shows the cities with increasing pollution potential as Mumbai, Chennai, Bangalore, Hyderabad, Patna, Jaisalmer, Jodhpur, Varanasi, Kolkata, Kanpur, Lucknow, New Delhi, Nagpur, and Rourkela. This information is helpful to the regulatory authorities to prioritize the air pollution mitigation measures in different cities. This study has the potential to be extended to prepare global maps of APPI to identify ventilation corridors (regions with very low pollution potential) that will reduce air pollution and its effects on human health, the environment, and the climate at large.

空气污染潜力表明大气扩散污染物的能力取决于混合高度和风速。该参数对于空气扩散建模、减轻空气污染（即减少对人类健康的有害影响）以及建立新产业的潜在选址至关重要。使用来自行星边界层高度的每日数据的输入，首次为印度准备了五年（2015-2019）平均月度、季节和年度的通风系数（VC）和空气污染潜力指数（APPI）图（ PBLH) 使用 SOUMI-NPP 卫星上的 CrIS 和来自 ERA-5 的风速得出。还分析了印度 14 个城市的 VC 和 APPI 的气候。低于中等至极低污染潜力（VC：6000 至 > 10,000 m ²/s) 已在冬季的安得拉邦和泰米尔纳德邦 (TN) 东海岸以及夏季季风期间在印度西部和新德里的大部分地区观察到。在季风前期，古吉拉特邦西部、拉贾斯坦邦西南部和印度-恒河平原的部分地区显示出中低污染潜力。在季风后季节，TN 东海岸观察到低于中等污染潜力。VC 和 APPI 的年平均值表明东部沿海 TN 和西部古吉拉特邦始终低于中等至极低污染潜力区，表明它们适合建立新产业。年平均 VC 显示污染潜力增加的城市为孟买、金奈、班加罗尔、海得拉巴、巴特那、斋沙默尔、焦特布尔、瓦拉纳西、加尔各答、坎普尔、勒克瑙、新德里、那格浦尔和鲁尔克拉。这些信息有助于监管机构优先考虑不同城市的空气污染缓解措施。这项研究有可能扩展到准备 APPI 的全球地图，以确定通风走廊（污染潜力极低的区域），以减少空气污染及其对人类健康、环境和整个气候的影响。