Zhao Hongtao, Wang Xiaoxue, Li Xuyong
State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
China International Engineering Consulting Corporation, Beijing 100048, China.
Int J Environ Res Public Health. 2017 Jul 28;14(8):850. doi: 10.3390/ijerph14080850.
Particle grain size is an important indicator for the variability in physical characteristics and pollutants composition of road-deposited sediments (RDS). Quantitative assessment of the grain-size variability in RDS amount, metal concentration, metal load and is essential to elimination of the uncertainty it causes in estimation of RDS emission load and formulation of control strategies. In this study, grain-size variability was explored and quantified using the coefficient of variation () of the particle size compositions, metal concentrations, metal loads, and values in RDS. Several trends in grain-size variability of RDS were identified: (i) the medium class (105-450 µm) variability in terms of particle size composition, metal loads, and values in RDS was smaller than the fine (<105 µm) and coarse (450-2000 µm) class; (ii) The grain-size variability in terms of metal concentrations increased as the particle size increased, while the metal concentrations decreased; (iii) When compared to the Lorenz coefficient (), the was similarly effective at describing the grain-size variability, whereas it is simpler to calculate because it did not require the data to be pre-processed. The results of this study will facilitate identification of the uncertainty in modelling RDS caused by grain-size class variability.
颗粒粒径是道路沉积物(RDS)物理特性和污染物组成变异性的重要指标。对RDS数量、金属浓度、金属负荷中的粒径变异性进行定量评估,对于消除其在RDS排放负荷估算和控制策略制定中所造成的不确定性至关重要。在本研究中,利用RDS中粒径组成、金属浓度、金属负荷和 值的变异系数( )对粒径变异性进行了探索和量化。确定了RDS粒径变异性的几个趋势:(i)RDS中粒径组成、金属负荷和 值方面的中等粒径级(105 - 450 µm)变异性小于细粒径级(<105 µm)和粗粒径级(450 - 2000 µm);(ii)金属浓度方面的粒径变异性随粒径增大而增加,而金属浓度则降低;(iii)与洛伦兹系数( )相比, 在描述粒径变异性方面同样有效,但其计算更简单,因为它不需要对数据进行预处理。本研究结果将有助于识别由粒径级变异性导致的RDS建模中的不确定性。