Exploring the particle size effect, land use classification, and magnetic characteristics of street dust in urbanized areas in Poland

Street dust was collected from 149 locations ("all") and fractionated into five size-dependent categories: (1-0.8 mm) "0.8," (0.8-0.6 mm) "0.6," (0.6-0.4 mm) "0.4," (0.4-0.2 mm) "0.2," and (< 0.2 mm) " < 0.2." The main aims were to investigate the role of grain size in differentiating magnetic properties and identify land use factors affecting the magnetic and grain size distribution of street dust. The mass-specific magnetic susceptibility (χ) for "all" exhibited spatial variability, ranging from 30 to 545 × 10<sup>8</sup> m<sup>3</sup>/kg. The average χ for " < 0.2" was 68% higher in Area 1 and 195% higher in Areas 2&3 compared to the "all" samples. The 0.4-0.2 mm grain fraction was the most abundant and comprising 40% ± 7% of the samples in Area 1, 38% ± 9% in Area 2, and 39% ± 12% in Area 3. Area 1 "all" samples predominantly consisted of particles around 1 μm, while samples from Areas 2&3 featured grains ranging between 1 and 5 μm. This study is important as it provides new insights into how grain size and land use factors interact to affect the magnetic properties of street dust, which can be used as an effective indicator for monitoring urban pollution.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-04-14
DOI
https://doi.org/10.1038/s41598-025-95972-1
Citations
3
Primary Topic
Geomagnetism and Paleomagnetism Studies
Type
article
Field-Weighted Citation Impact
2.42

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the particle size effect, land use classification, and magnetic characteristics of street dust in urbanized areas in Poland

Sylwia Klaudia Dytłow, G. Karasiński
3 citations
Scientific Reports
Geomagnetism and Paleomagnetism Studies
2.42
article

Exploring the particle size effect, land use classification, and magnetic characteristics of street dust in urbanized areas in Poland

Sylwia Klaudia Dytłow, G. Karasiński
article en
3 citations

Abstract

Street dust was collected from 149 locations ("all") and fractionated into five size-dependent categories: (1-0.8 mm) "0.8," (0.8-0.6 mm) "0.6," (0.6-0.4 mm) "0.4," (0.4-0.2 mm) "0.2," and (< 0.2 mm) " < 0.2." The main aims were to investigate the role of grain size in differentiating magnetic properties and identify land use factors affecting the magnetic and grain size distribution of street dust. The mass-specific magnetic susceptibility (χ) for "all" exhibited spatial variability, ranging from 30 to 545 × 10<sup>8</sup> m<sup>3</sup>/kg. The average χ for " < 0.2" was 68% higher in Area 1 and 195% higher in Areas 2&3 compared to the "all" samples. The 0.4-0.2 mm grain fraction was the most abundant and comprising 40% ± 7% of the samples in Area 1, 38% ± 9% in Area 2, and 39% ± 12% in Area 3. Area 1 "all" samples predominantly consisted of particles around 1 μm, while samples from Areas 2&3 featured grains ranging between 1 and 5 μm. This study is important as it provides new insights into how grain size and land use factors interact to affect the magnetic properties of street dust, which can be used as an effective indicator for monitoring urban pollution.

Scientific ReportsVol. 15(1)
Institute of Geophysics Polish Academy of Sciences (PL), Polish Academy of Sciences (PL)
European Commission, Narodowe Centrum Nauki, Narodowym Centrum Nauki, Ministerstwo Edukacji i Nauki, European Regional Development Fund
Sustainable cities and communities
Openalex Percentile: Top 12%
Geomagnetism and Paleomagnetism Studies
2.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.