Industrialization has been contributing to the economic development of countries all over the globe but on the other side of the coin, it is also causing deterioration of the environment as well as human health. Air pollution in industrial areas has emerged as a hasten issue in recent years due to its aggravated effects on health and wellbeing. The objectives of the study are to analyze the concentrations of air pollutants (PM₁₀, PM_2.5, NO₂ & CO) in industrial areas of Delhi and to assess the association among meteorological variables, air pollutants, and respiratory diseases of industrial workers and their family members. To map these pollutants concentration, Kriging and Inverse Distance Weighted (IDW) interpolation techniques were employed. The results showed that several industrial areas were cloaked with all these four pollutants in varied ranges and different seasons. The increase in the number of registered and operating industries in Delhi, and the consequential rise in the air pollutants' concentrations followed the quadratic polynomial trend. Spearman’s rho correlation technique revealed that the respiratory disease entries of workers and their families depicted a statistically strong negative correlation with temperature, rainfall, and wind speeds while a strong positive association with PM_2.5, NO_2, and CO.

工业化一直在为全球各国的经济发展做出贡献，但另一方面，它也导致环境和人类健康的恶化。由于对健康和福祉的严重影响，工业区的空气污染近年来已成为一个紧迫的问题。该研究的目的是分析空气污染物（PM ₁₀、PM _2.5、NO ₂& CO）在德里的工业区，并评估气象变量、空气污染物和产业工人及其家庭成员的呼吸系统疾病之间的关联。为了绘制这些污染物浓度图，采用了克里金法和反距离加权 (IDW) 插值技术。结果表明，几个工业区都笼罩在不同范围和不同季节的所有这四种污染物中。德里注册和运营行业数量的增加以及随之而来的空气污染物浓度的上升遵循二次多项式趋势。Spearman 的 rho 相关技术显示，工人及其家人的呼吸系统疾病条目与温度、降雨量、_2.5、NO ₂和 CO。