EGU26-9644, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-9644
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Wednesday, 06 May, 17:15–17:25 (CEST)
 
Room F2
Dust storm events in Northeast China region by ground-based data and GEOS-Chem modeling
Xuanyi Wei1, Gennadi Milinevsky1,2, and Yuliia Yukhymchuk1,2
Xuanyi Wei et al.
  • 1Jilin University, College of Physics, ICFS, China (xywei23@mails.jlu.edu.cn)
  • 2Main Astronomical Observatory of National Academy of Sciences of Ukraine, Kyiv, Ukraine

Northeast China is often affected by dust episodes, primarily driven by long-range transport from the Gobi and Taklamakan deserts. This study systematically investigates the behavior and impacts of dust aerosols over Northeast China from 2015 to 2025 through a multi-platform approach that integrates ground-based measurements (AERONET, SONET, and PM monitors), satellite observations ( VIIRS), and model simulations (GEOS-Chem and HYSPLIT). The region is divided into five sub-regions to analyze distinct spatial and seasonal patterns of dust distribution and transport pathways. Results reveal that dust transport markedly degrades air quality across the region, with the western part of Northeast China exhibiting the highest dust concentrations. During dust events, aerosol optical depth (AOD) notably increases while the Ångström exponent decreases, consistently indicating the dominance of coarse-mode particles. Cluster analysis effectively discriminates dust episodes from other aerosol types. Model simulations and back-trajectory analysis confirm the northwestern origin of dust and delineate major transport routes. This comprehensive assessment provides detailed insight into the regional dust dynamics and offers a scientific basis for refined air quality forecasting and management strategies in Northeast China.

How to cite: Wei, X., Milinevsky, G., and Yukhymchuk, Y.: Dust storm events in Northeast China region by ground-based data and GEOS-Chem modeling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9644, https://doi.org/10.5194/egusphere-egu26-9644, 2026.