夏春林,肖琳.京津冀天然源挥发性有机物排放研究[J].环境科学学报,2019,39(8):2680-2689
京津冀天然源挥发性有机物排放研究
- Estimation of biogenic volatile organic compounds emissions in Jing-Jin-Ji
- 基金项目：国家自然科学基金（No.41771114）
- 夏春林
- 辽宁工程技术大学测绘与地理科学学院, 阜新 123000
- 肖琳
- 辽宁工程技术大学测绘与地理科学学院, 阜新 123000
- 摘要：为探明2017年京津冀地区天然源挥发性有机物（BVOCs）的空间分布，将研究区划分成3 km分辨率的格网，并通过WRF模型提供气象驱动数据，MODIS影像提供植被功能类型和叶面积指数，最终利用MEGAN模型进行模拟研究.结果表明，该模型将BVOCs分成147个细类，其中主要有异戊二烯、单萜烯41类、半萜烯32类、其他VOC73类.2017年京津冀地区BVOCs排放总量为426.26×103 t，四大类别的排放比例依次为29.38%、12.32%、6.24%、52.05%.单萜烯中排放较高的类别是α-蒎烯、β-蒎烯、t-β-罗勒烯，而半萜烯中排放较高的是α-法呢烯和β-石竹烯.整个研究区域内BVOCs排放较高的区域位于北部森林与灌丛分布密集的燕山山脉和西南的太行山山脉，其中主要的城市有承德、北京、张家口、保定、石家庄等.排放量较低的地区为廊坊、衡水、天津等地.本研究通过模型模拟得到了京津冀地区2017年高时空分辨率BVOCs排放清单，同时可为以后的大气环境研究提供基础数据.
- Abstract：In order to evaluate the spatial distribution of biogenic VOCs (BVOCs) emissions in Jing-Jin-Ji in 2017, we divide the study area into grids with spatial resolution of 3 km. The information on leaf area index (LAI) and plant functional types (PFT) were based on the remote sensing data. Based on conditions of vegetation and statistical data, emissions of isoprene, 37 monoterpenes, 32 sesquiterpenes, and other volatile organic compounds (OVOC) were estimated using MEGANv2.1 driven by WRF model. Results showed that the total amount BOVCs emissions was 426.26×103 t, emissions of isoprene, monoterpenes, sesquiterpenes, and OVOC accounting for 29.38%, 12.32%, 6.24% and 52.05%, respectively. α-pinene, β-pinene and t-β-Ocimene, α-farnesene and β-caryophyllene were the large contributors to the total monoterpene and sesquiterpene emissions, respectively. The regions with high emissions were found over northern, southwestern forest regions, Yanshan and Taihang Mountain, corresponding cities are:Chengde, Beijing, Zhangjiakou, Baoding, Shijiazhuang, etc. However, Langfang, Hengshui, Tianjin are the areas with low BVOCs emissions. The inventory of BVOCs emissions of Jing-Jin-Ji achieved in this study is an important groundwork for environmental and climate modeling.
