This study presents the chemical composition (carbonaceous and nitrogenous components) of aerosols (PM_2.5 and PM₁₀) along with stable isotopic composition (δ¹³C and δ¹⁵N) collected during winter and the summer months of 2015–16 to explore the possible sources of aerosols in megacity Delhi, India. The mean concentrations (mean ± standard deviation at 1σ) of PM_2.5 and PM₁₀ were 223 ± 69 µg m⁻³ and 328 ± 65 µg m⁻³, respectively during winter season whereas the mean concentrations of PM_2.5 and PM₁₀ were 147 ± 22 µg m⁻³ and 236 ± 61 µg m⁻³, respectively during summer season. The mean value of δ¹³C (range: − 26.4 to − 23.4‰) and δ¹⁵N (range: 3.3 to 14.4‰) of PM_2.5 were − 25.3 ± 0.5‰ and 8.9 ± 2.1‰, respectively during winter season whereas the mean value of δ¹³C (range: − 26.7 to − 25.3‰) and δ¹⁵N (range: 2.8 to 11.5‰) of PM_2.5 were − 26.1 ± 0.4‰ and 6.4 ± 2.5‰, respectively during the summer season. Comparison of stable C and N isotopic fingerprints of major identical sources suggested that major portion of PM_2.5 and PM₁₀ at Delhi were mainly from fossil fuel combustion (FFC), biomass burning (BB) (C-3 and C-4 type vegitation), secondary aerosols (SAs) and road dust (SD). The correlation analysis of δ¹³C with other C (OC, TC, OC/EC and OC/WSOC) components and δ¹⁵N with other N components (TN, NH₄⁺ and NO₃⁻) are also support the source identification of isotopic signatures.

本研究介绍了2015-16 年冬季和夏季月份收集的气溶胶（PM _2.5和 PM ₁₀ ）的化学成分（含碳和含氮成分）以及稳定同位素成分（δ ¹³ C 和 δ ¹⁵ N），以探索可能的印度特大城市德里的气溶胶来源。冬季PM _2.5和 PM ₁₀的平均浓度（1σ 处的平均值±标准偏差）分别为 223 ± 69 µg m ^-3和 328 ± 65 µg m ^{-3 ，而 PM} _2.5和 PM ₁₀的平均浓度为 147 ± 22 µg m ^-3和 236 ± 61 µg m ^-3，分别在夏季。_{PM 2.5}的 δ ¹³ C（范围：- 26.4 至 - 23.4‰）和 δ ¹⁵ N（范围：3.3 至 14.4‰）在冬季分别为 - 25.3 ± 0.5‰ 和 8.9 ± 2.1‰夏季，PM _{2.5的 δ} ¹³ C（范围：- 26.7 至 - 25.3‰）和 δ ¹⁵ N（范围：2.8 至 11.5‰）的平均值分别为 - 26.1 ± 0.4‰ 和 6.4 ± 2.5‰。比较主要相同来源的稳定 C 和 N 同位素指纹表明 PM _2.5和 PM _{10的主要部分}在德里，主要来自化石燃料燃烧 (FFC)、生物质燃烧 (BB)（C-3 和 C-4 型植被）、二次气溶胶 (SAs) 和道路扬尘 (SD)。^{δ 13} C与其他C（OC、TC、OC/EC和OC/WSOC）组分的相关性分析和δ ¹⁵ N与其他N组分（TN、NH ₄ ⁺和NO ₃ ^-）的相关性分析也支持了源识别。同位素特征。