[Estimation inventory of polycyclic aromatic hydrocarbons (PAHs) from anthropogenic sources and its impacts within the Yanghe Watershed, an important water-source site of Beijing, China].

北京 环境科学 分水岭 排放清单 污染 环境化学 空气污染 环境工程 中国 地理 化学 生态学 计算机科学 生物 机器学习 考古 有机化学
作者
Jiajia Gao,Wei Luo,Xiao-Xia Xi
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期刊:PubMed 卷期号:35 (12): 4573-81
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The Yanghe Watershed, situated at the upwind of Beijing, is an important water-source site and ecologic protection barrier for Beijing and Zhangjiakou cities. The Yanghe Watershed is also a farming-pastoral transitional area and an ecologically vulnerable and sensitive region, as well as the place applying for Winter Olympic Game in 2022. Establishment of atmospheric emissions inventory of polycyclic aromatic hydrocarbons (PAHs) and identification of its sources within the Yanghe Watershed and its possible transportation paths to Beijing can help us get a better understanding of regional environmental pollution (especially air environmental pollution) in Beijing-Zhangjiakou area. In the present study, PAHs emission from different counties and cities within the Yanghe Watershed in 2012 was calculated based on the statistical data of local industries, agriculture and resident living while PAHs emission factors were estimated. According to the cluster analysis for air transport trajectories, main categories of air masses were obtained. Results indicated that total emission of PAHs in 2012 was 4.4 x 10(2) t. Coal combustion and crop-straw burning were the most important emission sources of PAHs, accounting for 76% and 16% of total emission of PAHs, respectively. Xuanhua county had the greatest emission of PAHs (49 t), followed by Xinghe (36 t), Tianzhen (32 t), Huailai (24 t) and Wanquan (15 t). In emission of 16 isomers of PAHs, the emission of high molecular weight isomers containing 4-6 rings was approximate to that of low molecular weight isomers containing 2-3 rings, accounting for approximately 50% of total emission of PAHs. Emission of PAHs had positive correlations with gross industrial production (GIP) (r = 0.96, P < 0.05) and resident income (RI) (r = 0.94, P < 0.05) and population density (PD) (r = 0.92, P < 0.05), but negatively correlated with land area (LA) (r = - 0.9, P < 0.05) and no significant correlationship with gross output value of agriculture (GOA) (r = 0.026, P > 0.01). The high emission of PAHs within the Yanghe Watershed was associated with local energy structure and residents' consumption level. Combined the back trajectory analysis with PAHs emission, high amount of PAHs could be transported to Beijing by northwest airflow, suggesting its potential ecological risk and human health effect in Beijing.

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