This study analyzes the air pollution characteristics and their relation to meteorological conditions in Chennai, India. Meteorological conditions were the primary factor determining variations in daily average pollutant concentrations. The influence of urban infrastructure on meteorology is an important prediction on air quality. Understanding of the seasonal and diurnal secondary pollutant concentrations as a function of local meteorological conditions is necessary for urban air quality management. Micro-scale models for analyzing the surface layer interactions with the surrounding environment have recently gained attention. An attempt has been made to understand the effect of meteorology on air quality. This comprehensive study aims to assess the influence of local meteorology on urban air quality. The correlation was established between the change in meteorological parameters and mixing height on air quality at selected locations in a tropical urban environment. Results indicated the significant impact of land use patterns on the dispersion of air quality at study locations. Seasonal variations of ambient air temperatures at study locations were found to be more than 3°C in summer. Average mixing height variation among the study locations was observed to be more than 200 meters in summer. Results indicated the importance of wind velocity on the mixing height at study locations. The average concentrations of air quality parameters showed significant variation among the study locations. The maximum ozone (O₃) concentration was recorded at the Central Business District (CBD) during the afternoon, i.e., around 38.3 ppb, whereas it was 26.8 and 14.6 ppb at the Residential Area (RA) and Urban Baseline (UBL), respectively. A strong correlation was observed between ambient temperature and O₃ concentration during summer. In the winter, the average O₃ concentration in all three-study locations increased to 45.3 ppb, 45.8 ppb, and 58.5 ppb at UBL, RA, and CBD sites, respectively. The study reveals the impact of microenvironments on air quality.

Implications: An attempt has been made to study the seasonal and diurnal variation of air quality levels in selected study regions with land cover change. This article focuses mainly on the surface temperature intensity variations with respect to the percentage of land use pattern change in Chennai city, India, and the subsequent effect on meteorology of dispersion conditions and air quality parameters has been studied. The relationship between local meteorology and air quality has been established.

这项研究分析了印度钦奈的空气污染特征及其与气象条件的关系。气象条件是决定每日平均污染物浓度变化的主要因素。城市基础设施对气象的影响是对空气质量的重要预测。对于城市空气质量管理，必须了解季节性和昼夜次级污染物浓度与当地气象条件的关系。用于分析表层与周围环境的相互作用的微型模型最近受到关注。试图了解气象对空气质量的影响。这项全面的研究旨在评估当地气象对城市空气质量的影响。在热带城市环境中选定位置的气象参数变化与空气质量混合高度之间建立了相关性。结果表明，土地利用方式对研究地点空气质量的分散有重大影响。在夏季，研究地点的环境空气温度的季节性变化超过3°C。在夏季，研究地点之间的平均混合高度变化被观察到超过200米。结果表明风速对研究地点混合高度的重要性。空气质量参数的平均浓度在研究地点之间显示出显着差异。最大臭氧量（O 结果表明，土地利用方式对研究地点空气质量的分散有重大影响。在夏季，研究地点的环境空气温度季节性变化超过3°C。在夏季，研究地点之间的平均混合高度变化被观察到超过200米。结果表明风速对研究地点混合高度的重要性。空气质量参数的平均浓度在研究地点之间显示出显着差异。最大臭氧量（O 结果表明，土地利用方式对研究地点空气质量的分散有重大影响。在夏季，研究地点的环境空气温度的季节性变化超过3°C。在夏季，研究地点之间的平均混合高度变化被观察到超过200米。结果表明风速对研究地点混合高度的重要性。空气质量参数的平均浓度在研究地点之间显示出显着差异。最大臭氧量（O 在夏季，研究地点之间的平均混合高度变化被观察到超过200米。结果表明风速对研究地点混合高度的重要性。空气质量参数的平均浓度在研究地点之间显示出显着差异。最大臭氧量（O 在夏季，研究地点之间的平均混合高度变化被观察到超过200米。结果表明风速对研究地点混合高度的重要性。空气质量参数的平均浓度在研究地点之间显示出显着差异。最大臭氧量（O₃）下午在中央商务区（CBD）记录到浓度，即大约38.3 ppb，而住宅区（RA）和城市基线（UBL）分别为26.8和14.6 ppb。在夏季，环境温度与O ₃浓度之间存在很强的相关性。在冬季，UBL，RA和CBD站点的所有三个研究地点的平均O ₃浓度分别增加到45.3 ppb，45.8 ppb和58.5 ppb。该研究揭示了微环境对空气质量的影响。

启示：已尝试研究某些研究区域随土地覆盖变化的空气质量水平的季节性和昼夜变化。本文主要针对印度钦奈市土地利用模式变化的百分比而言，表面温度强度变化，并研究了其对分散条件和空气质量参数对气象的影响。建立了当地气象学与空气质量之间的关系。