LANG Jianlei, FAN Xiaohan, LI Ang, BIAN Zejun, WEN Chaoyu, ZHOU Ying, MAO Shushuai. Differential Impact of Agricultural and Vehicular Ammonia Emissions on Atmospheric PM2.5 in Beijing-Tianjin-Hebei[J]. Journal of Beijing University of Technology, 2023, 49(11): 1213-1222. DOI: 10.11936/bjutxb2022040004
    Citation: LANG Jianlei, FAN Xiaohan, LI Ang, BIAN Zejun, WEN Chaoyu, ZHOU Ying, MAO Shushuai. Differential Impact of Agricultural and Vehicular Ammonia Emissions on Atmospheric PM2.5 in Beijing-Tianjin-Hebei[J]. Journal of Beijing University of Technology, 2023, 49(11): 1213-1222. DOI: 10.11936/bjutxb2022040004

    Differential Impact of Agricultural and Vehicular Ammonia Emissions on Atmospheric PM2.5 in Beijing-Tianjin-Hebei

    • Agriculture and vehicles are important ammonia emissions sources in rural and urban areas, respectively. A comparative study of their environmental impacts is of great significance for the scientific formulation of emission reduction strategies. However, there is currently a lack of research on the differential impacts of agricultural and vehicular NH3 emissions. This study established a NH3 emission inventory with 1 km resolution for fertilizer, livestock and vehicles based on the emission factor method, and analyzed their spatial and temporal distribution characteristics. Further, WRF-CAMx-PSAT, combined with Brute-Force method was used to simulate the emission reduction scenarios of agricultural and vehicular NH3 in January and June 2017 to investigate the differential effects of different NH3 emission sources on atmospheric PM2.5. Results show that the ammonia emissions from fertilizer, livestock and vehicles in Beijing-Tianjin-Hebei were 31.0×104 t, 44.7×104 t, and 0.8×104 t, respectively, in 2017. From the perspective of emission reduction effect, when agricultural and vehicular NH3 emission was gradient reduced by 10%, 30%, 50%, 70%, and 100%, respectively, NH4+ showed a nearly linear change, however, SO42- and NO3- showed a non-linear decreasing trend. Influenced by emissions, the average change rates (-16.3%, -4.3%, and -37.3%) of NH4+, SO42-, and NO3- concentrations under the agricultural NH3 reduction scenarios were significantly higher than those (-1.7%, -0.2%, and -4.3%) under the vehicular NH3 reduction scenarios. However, from the perspective of emission reduction efficiency, the opposite phenomenon was found. To analyze the emission reduction efficiency, the NH3 emission reduction air quality improvement efficiency index was proposed and defined as the change in PM2.5 concentration under the unit (104 tons) of NH3 emission reduction. By comparison, it is found that the air quality improvement efficiency of vehicular NH3 emission reduction was significantly higher than that of agricultural NH3 emission reduction, with a difference of 1.0-3.2 times and 1.2-2.3 times in January and June, respectively. The results of the study can provide scientific basis for the optimal prevention and control of air pollution.
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