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评估工业运营活动中露天矿场颗粒物排放的动态特征。

Evaluating the dynamical characteristics of particle matter emissions in an open ore yard with industrial operation activities.

作者信息

Cong X C, Yang G S, Qu J H, Dai M X

机构信息

Shandong Provincial Key Laboratory of Civil Engineering Disaster Prevention and Mitigation, Shandong University of Science and Technology, Qingdao, 266590, China.

Tianjin Research Institute for Water Transport Engineering Ministry of Transport, Tianjin, 300456, People's Republic of China.

出版信息

Environ Sci Pollut Res Int. 2016 Nov;23(21):21336-21349. doi: 10.1007/s11356-016-7289-6. Epub 2016 Aug 9.

Abstract

A study to investigate the dynamical characteristics of particle matter emissions in a working open yard is conducted in Caofeidian Port of Hebei Province, China. The average diurnal concentrations of the total suspended particulate (TSP) matter and respirable particulate matter (PM and PM) are monitored during the field measurement campaign. Sampling is performed at a regular interval at 8 monitoring stations in the yard with normal industrial activities. The average TSP, PM and PM concentrations range from 285 to 568, 198 to 423 and 189 to 330 μg.m-3 in the yard, respectively. The linear regression correlation coefficient of TSP/PM and TSP/PM is 0.95±0.01 and 0.88±0.02, respectively.By using the Spearman correlation method, the wind speed and relative humidity are both weakly correlated with the PM and PM concentrations according to the measurements. In addition, industrial operation activities, such as vehicular traffic in the yard and the loading time of stackers, are significantly positively correlated with the PM concentration. Using the multivariate regression method, the main parameters influencing the TSP concentration variations are integratedly analysed. The traffic volume is found to be a significant predictor of TSP concentration variation, with the smallest P value (P<0.05).To understand the dynamical characteristics of particle emissions in the yard, the emissions from the truck transports, that is, from unpaved haul roads and from the loading process, are established. Then, the dynamical emission factor (EF) based on the industrial activities in the yard is proposed. The dynamical emissions average 5.25x10 kg.year and EF is evaluated to be 0.29 kg.(ton.day) during the measurement period. These outcomes have meaningful implications not only for understanding the dynamical characteristics of particle emissions in the working stockyard but also for implementing effective control measures at appropriate sites in the harbour area.

摘要

在中国河北省曹妃甸港进行了一项研究,以调查作业露天堆场中颗粒物排放的动态特征。在现场测量活动期间,监测了总悬浮颗粒物(TSP)和可吸入颗粒物(PM 和 PM)的日平均浓度。在该堆场正常进行工业活动的 8 个监测站定期进行采样。堆场中 TSP、PM 和 PM 的平均浓度分别为 285 至 568、198 至 423 和 189 至 330 μg.m-3。TSP/PM 和 TSP/PM 的线性回归相关系数分别为 0.95±0.01 和 0.88±0.02。根据测量结果,采用斯皮尔曼相关方法,风速和相对湿度与 PM 和 PM 浓度均呈弱相关。此外,堆场中的车辆交通和堆取料机的装料时间等工业运营活动与 PM 浓度呈显著正相关。采用多元回归方法,综合分析了影响 TSP 浓度变化的主要参数。发现交通流量是 TSP 浓度变化的显著预测因子,P 值最小(P<0.05)。为了解堆场中颗粒物排放的动态特征,确定了卡车运输的排放,即来自未铺砌运输道路和装载过程的排放。然后,提出了基于堆场工业活动的动态排放因子(EF)。在测量期间,动态排放量平均为 5.25x10 kg.year,EF 评估为 0.29 kg.(ton.day)。这些结果不仅对于理解作业堆场中颗粒物排放的动态特征具有重要意义,而且对于在港区适当地点实施有效的控制措施也具有重要意义。

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