Issue 1, 2016

Particle size distribution and perchlorate levels in settled dust from urban roads, parks, and roofs in Chengdu, China

Abstract

A total of 27 settled dust samples were collected from urban roads, parks, and roofs in Chengdu, China to investigate particle size distribution and perchlorate levels in different size fractions. Briefly, fine particle size fractions (<250 μm) were the dominant composition in the settled dust samples, with mean percentages of 80.2%, 69.5%, and 77.2% for the urban roads, roofs, and the parks, respectively. Perchlorate was detected in all of the size-fractionated dust samples, with concentrations ranging from 73.0 to 6160 ng g−1, and the median perchlorate levels increased with decreasing particle size. The perchlorate level in the finest fraction (<63 μm) was significantly higher than those in the coarser fractions. To our knowledge, this is the first report on perchlorate concentrations in different particle size fractions. The calculated perchlorate loadings revealed that perchlorate was mainly associated with finer particles (<125 μm). An exposure assessment indicated that exposure to perchlorate via settled road dust intake is safe to both children and adults in Chengdu, China. However, due to perchlorate mainly existing in fine particles, there is a potential for perchlorate to transfer into surface water and the atmosphere by runoff and wind erosion or traffic emission, and this could act as an important perchlorate pollution source for the indoor environment, and merits further study.

Graphical abstract: Particle size distribution and perchlorate levels in settled dust from urban roads, parks, and roofs in Chengdu, China

Supplementary files

Article information

Article type
Paper
Submitted
03 Sep 2015
Accepted
03 Nov 2015
First published
04 Nov 2015

Environ. Sci.: Processes Impacts, 2016,18, 72-77

Particle size distribution and perchlorate levels in settled dust from urban roads, parks, and roofs in Chengdu, China

Y. Li, Y. Shen, L. Pi, W. Hu, M. Chen, Y. Luo, Z. Li, S. Su, S. Ding and Z. Gan, Environ. Sci.: Processes Impacts, 2016, 18, 72 DOI: 10.1039/C5EM00435G

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