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Evaluation of atmospheric particulate matter pollution characteristics in Shanghai based on biomagnetic monitoring technology.
Wang, Guan; Hou, Yumei; Xin, Qian; Ren, Feifan; Yang, Fan; Su, Shiguang; Li, Wenxin.
Affiliation
  • Wang G; Department of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China.
  • Hou Y; Department of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China.
  • Xin Q; Department of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China.
  • Ren F; Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China; State Key Laboratory of Disaster Reduction in Civil Engineering, College of Civil Engineering, Tongji University, Shanghai 200092, C
  • Yang F; Department of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China.
  • Su S; Department of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China.
  • Li W; Department of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China.
Sci Total Environ ; 940: 173689, 2024 Aug 25.
Article in En | MEDLINE | ID: mdl-38825203
ABSTRACT
Atmospheric particulate matter (PM) pollution is one of the world's most serious environmental challenges, and it poses a significant threat to environmental quality and human health. Biomagnetic monitoring of PM has great potential to improve spatial resolution and provide alternative indicators for large area measurements, with respect and complementary to standard air quality monitoring stations. In this study, 160 samples of evergreen plant leaves were collected from park green spaces within five different functional areas of Shanghai. Magnetic properties were investigated to understand the extent and nature of particulate pollution and the possible sources, and to assess the suitability of various plant leaves for urban particulate pollution monitoring. The results showed that magnetic particles of the plant leaf-adherent PM were predominantly composed of pseudo-single domain (PSD) and multi-domain (MD) ferrimagnetic particles. Magnolia grandiflora, as a large evergreen arbor with robust PM retention capabilities, proved to be a more suitable candidate for monitoring urban particulate pollution compared to Osmanthus fragrans, a small evergreen arbor, and Aucuba japonica Thunb. var. variegata and Photinia serratifolia, evergreen shrubs. Meanwhile, there were significant differences in the spatial distribution of the magnetic particle content and heavy metal enrichment of the samples, mainly showing regional variations of industrial area > traffic area > commercial area > residential area > clean area. Additionally, the combination with the results of scanning electron microscopy, shows that industrial production (metal smelting, coal burning), transport and other activities are the main sources of particulate pollution. Plant leaves can be used as an effective tool for urban particulate pollution monitoring and assessment of atmospheric particulate pollution characteristics, and the technique provided useful information on particle size, mineralogy and possible sources.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Environmental Monitoring / Air Pollutants / Particulate Matter Country/Region as subject: Asia Language: En Journal: Sci Total Environ Year: 2024 Document type: Article Affiliation country: China Country of publication: Netherlands

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Environmental Monitoring / Air Pollutants / Particulate Matter Country/Region as subject: Asia Language: En Journal: Sci Total Environ Year: 2024 Document type: Article Affiliation country: China Country of publication: Netherlands