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BVOCs emission inventory in the Beijing-Tianjin-Hebei region based on multiple models and data sources |
LI Ao-zhe1, DUAN Wen-jiao2, QI Hao-yun1, CAI Bin1 |
1. Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of environmental and life, Beijing University of Technology, Beijing 100124, China; 2. Environmental Development Center of the Ministry of Ecology and Environment, Beijing 100124, China |
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Abstract In order to systematically study the spatial and temporal distributions of biogenic volatile organic compounds (BVOCs) emissions in the Beijing-Tianjin-Hebei (BTH) region, this paper calculated county-level emissions of BVOCs and major components in the BTH region in 2018 based on three methods, including the stock production, land use remote sensing interpretation data, and MEGAN model. The results based on the three methods showed that the total BVOCs emissions in the BTH region were 741400t, 844800t, and 777300t, respectively. The emissions in Beijing, Tianjin, and Hebei were 118000t, 32000t and 637000t, the emissions of isoprene, monoterpenes, and others were 291900t, 225800t, and 274100t, and the emissions of forest land, cropland and grassland accounted for 68.42%, 23.07% and 3.89%, respectively. From the perspective of temporal distributions, BVOCs emissions were characterized by a single peak. Summer showed the highest emissions of 526400t, accounting for 66.64% of the whole year, while winter showed the lowest emissions of 15900t, accounting for 2.01% of the whole year. From the perspective of spatial distributions, BVOCs emissions based on different methods presented similar spatial distribution characteristics of high emissions in north and low emissions in south. The emissions along Taihang Mountains and Yanshan Mountains were dominated by forest land and grassland, while those in the southeastern Hebei Plain was dominated by farmland. From the perspective of methods, the emissions obtained with the light-temperature model based on remote sensing interpretation were relatively high, and the proportion of other BVOCs obtained with the dynamic model was relatively high. This study provides data support for the comprehensive understanding of BVOCs emission characteristics and the planning of continuous air quality improvement strategies in the BTH region.
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Received: 06 March 2023
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