Research on the influence of AERMOD model surface parameter update on simulation effect
WANG Cheng-xin1, CHU Ying-hao1, RUAN Jian-hui2, SANG Min-jie3, CHENG Ji4, WU Cheng-zhi4, BO Xin5,6
1. College of Architecture and Environment, Sichuan University, Chengdu 610065, China; 2. School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China; 3. School of Environmental Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China; 4. Trinity Consultants, Hangzhou 310012, China; 5. Department of Environmental Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China; 6. BUCT Institute for Carbon-neutrality of Chinese Industries, Beijing University of Chemical Technology, Beijing 100029, China
Abstract：Based on the high-resolution land use data in 2018, this paper updated the AERSURFACE integrated system (version 2012). Taking the enclosed area of Cangzhou Expressway as an example, the influence of surface parameter update on the simulation effect of AERMOD model was studied. The atmospheric environment monitoring system (including national control station, provincial control station and micro-station) in Cangzhou was used for verification. The update of land use data of the AERSURFACE integrated system could provide more accurate surface parameters for the AERMOD model simulation, which improves the correlation coefficient between the simulation results and the measured value. The maximum improvement in the daily average and hourly correlation coefficients of the national control station was 0.073 and 0.024, respectively. From a statistical point of view, this significant improvement made the results of the model simulation more consistent with the change trend of the measured values, indicating that the update of surface parameters had a positive effect on the model simulation. From the perspective of time scale, the improvement of the simulation effect of the land use data in winter and spring was greater than that in summer; and the simulation effect of the daily average value was improved more than the hourly value.
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WANG Cheng-xin, CHU Ying-hao, RUAN Jian-hui, SANG Min-jie, CHENG Ji, WU Cheng-zhi, BO Xin. Research on the influence of AERMOD model surface parameter update on simulation effect. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(5): 2070-2077.
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