| 首都水源地——洋河流域人为源多环芳烃(PAHs)排放清单估算及其影响分析 |
| 摘要点击 1830 全文点击 1154 投稿时间：2014-04-30 修订日期：2014-07-04 |
| 查看HTML全文
查看全文 查看/发表评论 下载PDF阅读器 |
| 中文关键词 优控污染物 大气污染 排放量估算 后向轨迹分析 排放源谱 洋河流域 |
| 英文关键词 priority pollutants air pollution emission estimation back trajectory analysis emission profiles the Yanghe Watershed |
|
| 中文摘要 |
| 洋河流域位于京西北上风向，是北京重要水源地和生态保护屏障，我国北方典型的农牧交错带和生态脆弱敏感区，也是北京-张家口2022年冬奥会的申办地，具有极重要的战略地位. 建立洋河流域大气PAHs排放清单，分析其可能来源及影响，通过气团后向轨迹辨识其区域PAHs传输途径，对于北京及张家口地区环境PAHs的污染控制具有重要的指导意义. 本研究收集和分析了洋河流域大量工、农业生产和居民生活等相关数据资料，评估了流域各行业、各县市PAHs排放因子，单体排放量及其影响因素，通过气团后向轨迹模型分析了PAHs的传输轨迹. 结果表明，洋河流域大气PAHs排放量为4.4×102t. 从排放行业看，煤炭燃烧源、秸秆燃烧源是洋河流域大气PAHs的重要排放源，其贡献率分别为76%和16%. 从排放地区看，宣化县的排放量最大，约49 t；其次分别为：兴和县、天镇县、怀来县、万全县，排放量分别约为：36、32、24和15 t. 从排放谱看，低环（2~3环）与高环分子（4~6环）PAHs的排放量相差不大，分别约占PAHs排放总量的50%左右. 洋河流域单位PAHs总排放量与各县市的工业生产总值（r=0.96，P<0.05）、居民收入（r=0.94，P<0.05）、人口密度呈正相关（r=0.92，P<0.05），与单位国土面积呈负相关（r=-0.9，P<0.05），与农业生产总值没有显著相关（r=0.026，P>0.01）. 流域内PAHs的较高排放与该地以煤炭为主的能源结构和较高的居民消费水平有关. 基于气团后向轨迹模拟和洋河流域PAHs排放，可以推断洋河流域已成为PAHs的高污染风险区，通过西北气流可将流域高浓度的PAHs输送至北京，对北京的生态环境和人体健康造成潜在风险. |
| 英文摘要 |
| 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 4.4×102 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. |
|
|
|
