School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, PR China.
School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, PR China.
Sci Total Environ. 2015 Feb 1;505:306-14. doi: 10.1016/j.scitotenv.2014.09.062. Epub 2014 Oct 16.
The particulate matter (PM) pollution of Beijing fluctuated significantly before and after precipitation events during the rainy period. The rainwater samples were continually collected at five-minute intervals on the roof of a building in downtown Beijing. The PM₂.₅ was also monitored at same temporal scale. The pH and concentrations of ammonia-N, nitrate-N, phosphorus, sulfur, and heavy metals (Cd, Mn, Fe, Zn, and Cu) in the rainwater samples were measured, and the values were used to assess the effect of washing on PM₂.₅ and determine the characteristics of the rainwater pollutants. The PM₂.₅ was negatively correlated to the quantity of accumulated rainfall (R(2) value ranged from 0.668 to 0.974), which identified the function of the washing process on PM₂.₅ pollution. The washing process of rainfall strongly affects PM₂.₅, which decreased to 10-30 μg m(-3) with 5mm of rainfall. The analysis of the temporal patterns of ten pollutants in rainwater demonstrated that most of the pollution load was contributed by the first 5 to 10 min of the washing process. The event mean concentration (EMC) of nine inorganic pollutants was used to evaluate the pollution load and identify sources of particle pollution. Sulfur was the primary inorganic element detected in PM, and the average EMC of twelve rainfall events was 8.92 mg L(-1). The EMC of ammonia-N, nitrate-N, and phosphorus after significant PM₂.₅ pollution was 11.57 mg L(-1), 1.72 mg L(-1), and 0.019 mg L(-1), respectively. The total pollution load of the rainwater collecting area during the rainy reason was also calculated, and the largest heavy metal load of 3.11 mg was attributed to Zn. The pollution loads of heavy metals and the stable relationship between the pollutants indicate the potential urban environmental management policies in Beijing.
北京的颗粒物(PM)污染在雨季降水前后波动较大。在北京市中心的一栋建筑物的屋顶上,连续每五分钟收集一次雨水样本。同时也以相同的时间尺度监测 PM₂.₅。测量了雨水样本中的 pH 值以及氨氮、硝酸盐氮、磷、硫和重金属(Cd、Mn、Fe、Zn 和 Cu)的浓度,这些值用于评估冲洗对 PM₂.₅的影响,并确定雨水污染物的特征。PM₂.₅与累积降雨量呈负相关(R² 值范围为 0.668 至 0.974),这确定了冲洗过程对 PM₂.₅污染的作用。降雨的冲洗过程对 PM₂.₅有强烈影响,降雨量达到 5 毫米时,PM₂.₅可降低至 10-30μg m⁻³。对雨水十种污染物的时间模式分析表明,大部分污染负荷是在冲洗过程的前 5 至 10 分钟贡献的。用事件平均浓度(EMC)评估九种无机污染物的污染负荷并识别颗粒污染的来源。硫是 PM 中主要的无机元素,十二次降雨事件的平均 EMC 为 8.92mg L⁻¹。显著 PM₂.₅污染后氨氮、硝酸盐氮和磷的 EMC 分别为 11.57mg L⁻¹、1.72mg L⁻¹和 0.019mg L⁻¹。还计算了雨季收集区的总雨水污染负荷,最大重金属负荷为 3.11mg,归因于 Zn。重金属的污染负荷以及污染物之间的稳定关系表明了北京潜在的城市环境管理政策。