An economic passive sampling method to detect particulate pollutants using magnetic measurements.
An economic passive sampling method to detect particulate pollutants using magnetic measurements.
复制标题
DOI：
10.1016/j.envpol.2015.05.019
复制
发表时间：
2015-10
影响因子：
8.9
通讯作者：
Liwan Cao;E. Appel;Shouyun Hu;M. Ma
中科院分区：
文献类型：
--
作者：
Liwan Cao;E. Appel;Shouyun Hu;M. Ma
识别工业过程排放到大气中的颗粒物(PM)是环境研究中的一个重要问题。本文提出了一种利用简单的人工采样器进行被动采样的方法，既保持了生物监测的优点，又克服了生物监测的一些缺点。采样器在污染严重的地区(临汾、中国)进行了测试，并与叶片样本的结果进行了比较。人工被动采样器和叶片样品的磁化率的空间变化显示出非常相似的模式。扫描电子显微镜显示，收集到的PM大多在2-25μm的范围内；球形的频繁出现表明PM的排放以工业燃烧为主。电厂周围的磁特性表现出与其他电厂不同的特征。这种采样方法为半量化空气质量的时空分布提供了一种合适的、经济的工具；它们可以安装在规则的网格中，并校准PM的权重
Identifying particulate matter (PM) emitted from industrial processes into the atmosphere is an important issue in environmental research. This paper presents a passive sampling method using simple artificial samplers that maintains the advantage of bio-monitoring, but overcomes some of its disadvantages. The samplers were tested in a heavily polluted area (Linfen, China) and compared to results from leaf samples. Spatial variations of magnetic susceptibility from artificial passive samplers and leaf samples show very similar patterns. Scanning electron microscopy suggests that the collected PM are mostly in the range of 2–25 μm; frequent occurrence of spherical shape indicates industrial combustion dominates PM emission. Magnetic properties around power plants show different features than other plants. This sampling method provides a suitable and economic tool for semi-quantifying temporal and spatial distribution of air quality; they can be installed in a regular grid and calibrate the weight of PM.