Land cover changes reduce dust aerosol concentrations in Northern China (2000-2020).

Dust aerosols significantly impact climate, human health, and ecosystems, but how land cover changes (LCC) influence dust concentrations remains unclear. Here, we applied the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) to assess the effects of LCC on dust aerosol concentrations from 2000 to 2020 in northern China. Based on land cover data derived from multi-source satellite remote sensing data, we conducted two simulation scenarios: one incorporating actual annual LCC and another assuming static land cover since 2000.

Contribution of local and surrounding anthropogenic emissions to a particulate matter pollution episode in Zhengzhou, Henan, China.

In this study, we simulated the spatial and temporal processes of a particulate matter (PM) pollution episode from December 10-29, 2019, in Zhengzhou, the provincial capital of Henan, China, which has a large population and severe PM pollution. As winter is the high incidence period of particulate pollution, winter statistical data were selected from the pollutant observation stations in the study area. During this period, the highest concentrations of PM (atmospheric PM with a diameter of less than 2.

Effect of agricultural soil wind erosion on urban PM concentrations simulated by WRF-Chem and WEPS: A case study in Kaifeng, China.

Dust emission induced by agricultural soil wind erosion is one of the main sources of atmospheric particulate matter (PM) in dryland areas. However, most current air quality models do not consider this emission source, resulting in large uncertainties in PM simulations. Here we estimated the agricultural PM (particulate matter with an aerodynamic diameter <2.

Contribution of local and surrounding area anthropogenic emissions to a high ozone episode in Zhengzhou, China.

This study analyzed an ozone pollution episode that occurred in the summer of 2020 in Zhengzhou, the provincial capital of Henan, China, and quantified the contribution of local and surrounding area anthropogenic emissions to this episode based on the Weather Research and Forecasting with Chemistry (WRF/Chem) model. Simulation results showed that the WRF/Chem model is well suited to simulate the ozone concentrations in this area. In addition, four simulation scenarios (removing the emissions from the northern Zhengzhou, southwestern Zhengzhou, Zhengzhou local and southeastern Zhengzhou) were conducted to explore the specific contributions of local emissions and emissions from surrounding areas within Henan to this ozone pollution episode.