Refining δ15N isotopic fingerprints of local NO for accurate source identification of nitrate in PM2.5

Stable nitrogen isotopic composition (δ¹⁵N) has proven to be a valuable tool for identifying sources of nitrates (NO₃^-) in PM_2.5. However, the absence of a systematic study on the δ¹⁵N values of domestic NO_x sources hinders accurate identification of NO₃^- sources in China. Here, we systematically determined and refined δ¹⁵N values for six categories of NO_x sources in Tianjin using an active sampling method. Moreover, the δ¹⁵N values of NO₃^- in PM_2.5 were measured during pre-heating, mid-heating and late-heating periods, which are the most heavily polluted in Tianjin. The results indicate that the isotopic fingerprints of the six types of NO_x sources in Tianjin are indicative of the regional characteristics of China, particularly the North China Plain. The Bayesian isotope mixing (MixSIAR) model demonstrated that coal combustion, biomass burning, and vehicle exhaust collectively contributed more than 60 %, dominating the sources of NO₃^- during sampling periods in Tianjin. However, failure to consider the isotopic signatures of local NO_x sources could result in an overestimation of the contribution from natural gas combustion. Additionally, the absence of industrial sources, an uncharacterized source in previous studies, may directly result in the contribution fraction of other sources being overestimated by the model more than 10 %. Notably, as the number of sources input to the model increased, the contribution of various NO_x sources was becoming more stable, and the inter-influence between various sources significantly reduced. This study demonstrated that the refined isotopic fingerprint in China could more effectively distinguish source of NO₃^-, thereby providing valuable insights for controlling NO₃^- pollution.