基于多模型和多源数据的京津冀地区BVOCs排放清单

李奥哲; 段文娇; 亓浩雲; 蔡斌

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中国环境科学 ›› 2023, Vol. 43 ›› Issue (10) : 5052-5061.

大气污染与控制

基于多模型和多源数据的京津冀地区BVOCs排放清单

李奥哲¹, 段文娇², 亓浩雲¹, 蔡斌¹

作者信息 +

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

Author information +

文章历史 +

摘要

为系统研究京津冀地区天然源挥发性有机物（BVOCs）排放量及时空分布特征，基于蓄积量产量、土地利用遥感解译数据、MEGAN模型，计算获得了2018年京津冀地区各区县BVOCs排放量及排放组成.结果表明，基于蓄积量产量、遥感解译和Megan数值模型的2018年京津冀地区BVOCs排放总量分别为74.14万t，84.48万t和77.73万t.北京、天津和河北平均排放总量分别为11.8万t、3.2万t和63.7万t；异戊二烯、单萜烯和其他VOCs平均排放量分别为29.19万t、22.58万t和27.41万t，林地、耕地和草地占比分别为68.42%、23.07%和3.89%.从时间分布来看，京津冀地区BVOCs排放呈显著单峰型，其中夏季排放最高，达到52.64万t，占全年总排放量的66.64%，而冬季平均排放量最低，仅有1.59万t，占全年总排放量的2.01%.从空间分布来看，基于多源清单的BVOCs空间分布均呈现出北高南低的趋势，高排放地区沿太行山脉及燕山山脉走势较为明显，这些地区主要以林地草地排放为主，而冀东南平原地区主要以耕地排放为主.从方法差异来看，基于遥感解译的光温模型获得的排放量相对偏高，动态模型获得的其他VOCs占比相对偏高.本研究为全面认识京津冀地区BVOCs排放特征和规划空气质量持续改善策略提供了基础数据支撑.

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.

导出引用

李奥哲, 段文娇, 亓浩雲, 蔡斌. 基于多模型和多源数据的京津冀地区BVOCs排放清单[J]. 中国环境科学. 2023, 43(10): 5052-5061

LI Ao-zhe, DUAN Wen-jiao, QI Hao-yun, CAI Bin. BVOCs emission inventory in the Beijing-Tianjin-Hebei region based on multiple models and data sources[J]. China Environmental Science. 2023, 43(10): 5052-5061

中图分类号： X51

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