Abstract
Rainwater dissolves urban air contaminants that threaten sustainable urbanization and human health. Tracing rainwater contamination supports urban management and environmental protection. Potassium isotopes (δ41K) have become new tracers in recent years, but K isotopes in urban rainwater and their application in tracing anthropogenic contamination have not yet been reported. Therefore, novel data on rainwater from Beijing, the capital of China, were presented in this study (δ41K: −1.16‰ to −0.17‰). Rainwater δ41K values showed a good nonlinear correlation with NO3-/K+ (R = 0.71; p < 0.05). Nitrogen (N) and K isotopes data were applied in three-end-member mixing model, and the three anthropogenic sources are biomass burning (δ15N: −1.3 ± 4.3‰, δ41K: −1.16 ± 0.06‰), fertilizer (δ15N: 1.6 ± 1.9‰, δ41K: 0.14 ± 0.09‰), and traffic emission (δ15N: −8.0 ± 4.5‰, δ41K: −0.17 ± 0.06‰). The MixSIAR model and backward trajectory with fire maps indicated that biomass burning and traffic emission were the primary contributors, with most biomass burning coming from southwest and southeast Beijing. This study expands rainwater K isotope composition data and first shows its potential to trace anthropogenic contamination. With K isotope ratios effectively tracing pollution sources in Beijing rainwater, it will be widely applied in environmental research.
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