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A mapping method for emission inventory and its application in air quality modeling
Atmospheric Pollution Research ( IF 4.5 ) Pub Date : 2024-01-25 , DOI: 10.1016/j.apr.2024.102056 Jin Fan , Mengying Shen , Tingyu Yan , Kaicheng Zhang , Tongge Zhang , Chen Gong , Xinyun Tian , Yanan Shang , Xianyu Yang , Ping Shao , Wei Tang , Maoshan Li , Shigong Wang
Atmospheric Pollution Research ( IF 4.5 ) Pub Date : 2024-01-25 , DOI: 10.1016/j.apr.2024.102056 Jin Fan , Mengying Shen , Tingyu Yan , Kaicheng Zhang , Tongge Zhang , Chen Gong , Xinyun Tian , Yanan Shang , Xianyu Yang , Ping Shao , Wei Tang , Maoshan Li , Shigong Wang
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The mapping of emission inventory to the grids of the air quality model is a crucial pre-processing step in both atmospheric chemistry research and air quality forecasting. While some classic methods have been widely used for this mapping process, there is a lack of optimized methods that take into account the characteristics of the emission inventory and model grids. Inspired by the fact that the sum of the sub-areas of a unit cell is equal to 1, this paper introduces a novel method called “area-weight”, which simultaneously transfers and zooms the coordinates of the emission inventory and model grid nodes, then interpolates the emissions to the model grid nodes by considering the sub-areas of each unit cell as interpolation weights. Compared to the two classic methods, the area-weight method demonstrates its advantages in terms of both spatial smoothness and temporal efficiency. To assess the suitability of the area-weight method in practical applications, an emission inventory was mapped to the WRF-Chem model grid nodes to investigate the regional contribution of anthropogenic emissions to a PM pollution episode that occurred in Sichuan Basin, China. Through validation by observations, the feasibility of the area-weight method and WRF-Chem model configurations was confirmed. The model results indicate that emission reduction should be implemented especially in Chengdu Plain Economic Zone, because this region exhibits high PM contribution to the entire Sichuan Basin, especially to the southern Basin.
更新日期：2024-01-25
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