EGU23-15773
https://doi.org/10.5194/egusphere-egu23-15773
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Quantifying the Wet Deposition of Reactive Nitrogen over China: Synthesis of Observations and Models

Jiani Tan1,2, Hang Su2, Syuichi Itahashi3, Wei Tao2, Siwen Wang1,2, Rui Li4, Hongbo Fu5, Kan Huang5, Joshua Fu6, and Yafang Cheng1
Jiani Tan et al.
  • 1Minerva Research Group, Max Planck Institute for Chemistry, Mainz, 55128, Germany (jiani.tan@mpic.de)
  • 2Multiphase Chemistry Department, Max Planck Institute for Chemistry, Mainz, 55128, Germany
  • 3Central Research Institute of Electric Power Industry, Abiko, Chiba, 270-1194, Japan
  • 4Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China
  • 5Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
  • 6Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN, 37996, USA

Accurate estimation on reaction nitrogen (Nr) deposition is highly demanded for assessing the impacts on the environment and human beings. This study investigated the wet deposition of inorganic nitrogen (IN) in mainland China by measurements from over 500 sites from five observational networks/databases and ensemble results of eleven chemical transport models (CTMs). Each data source has its focus and limitations and together formed a comprehensive view over China. But the inconsistency among different sources may hinder the appropriate usage of data. Model evaluation results demonstrated the models’ deficiency in simulating the wet NO3- deposition over Southeast China (40% underestimation) and showed an overall underestimation of wet NH4+ deposition over the hotspot regions (5-60% underestimation). A synthesis of this study and twelve reference studies was conducted to quantify the national amount of wet IN deposition. The estimations by CTMs ranged 2.4-3.9 Tg(N) yr-1 for wet NOy deposition and 4-6.7 Tg(N) yr-1 for wet NHx deposition, after adjusting the results with 10-19% underestimations in wet NOy deposition and 1-40% underestimations in wet NHx deposition. The estimations by ground observations ranged 7.1-9 Tg(N) yr-1 for wet NOy deposition and 8-13.1 Tg(N) yr-1 for wet NHx deposition, which were 20-275% higher than the estimation by CTMs, but the results were strongly influenced by the abundances and representative of measurements. Studies using statistical techniques to interpolate site observations predicted 3-5.5 Tg(N) yr-1 for wet NOy deposition and 3.9-7.2 Tg(N) yr-1 for wet NHx deposition. This approach benefited from high accuracy and good robustness of the statistical models, but the uncertainty in the interpolation methods could be a potential drawback.

How to cite: Tan, J., Su, H., Itahashi, S., Tao, W., Wang, S., Li, R., Fu, H., Huang, K., Fu, J., and Cheng, Y.: Quantifying the Wet Deposition of Reactive Nitrogen over China: Synthesis of Observations and Models, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-15773, https://doi.org/10.5194/egusphere-egu23-15773, 2023.