| Literature DB >> 27834903 |
Dejun Wan1, Zhangxiong Han2, Jinsong Yang3, Guanglin Yang4, Xingqi Liu5.
Abstract
Understanding variations of heavy metals in atmospheric particles between different functional areas is significant for pollution control and urban planning in cities. To reveal pollution and spatial distribution of heavy metals in atmospheric particles from different urban functional areas in Shijiazhuang in North China, 43 settled dust samples were collected over the main urban area and heavy metal concentrations were determined in their <63 μm fractions using an ICP-OES. The results suggest that Cr, Mn, Fe, Co, Ni, and V in the dust are not or slightly enriched and their concentrations vary slightly between different sites, implying their natural origins; whereas Cu, Zn, Cd, and Pb are often notably enriched and their concentrations vary significantly between different functional areas, indicating their anthropogenic sources. Integrated pollution indexes (IPIs) of the ten heavy metals are 2.7-13.6 (5.7 ± 2.2), suggesting high or very high pollution levels of most dust. Relatively lower IPIs occur mainly in the administration-education area, the commercial area, and other unclassified sites; while peaks occur mainly in the North Railway Station, the northeastern industrial area, and some sites near heavily trafficked areas, implying the significant influence of intensive industrial (including coal combustion) and traffic activities on atmospheric heavy metal accumulation. These results suggest a clear need of mitigating atmospheric heavy metal pollution via controlling emissions of toxic metals (especially Cd and Pb) from industrial and traffic sources in the city.Entities:
Keywords: Shijiazhuang; atmospheric particle; different functional area; enrichment factor; heavy metal; integrated pollution index; spatial distribution
Mesh:
Substances:
Year: 2016 PMID: 27834903 PMCID: PMC5129329 DOI: 10.3390/ijerph13111119
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Location of Shijiazhuang in China (a) and sampling sites (solid dots) for 43 settled dust collected over the main urban area (b). Solid dots with short lines on the bottom or the top represent sampling sites near heavily trafficked areas. The dotted triangle, ellipse, and quadrangle in (b) represent the administration-education area, the commercial area, and the old industrial area, respectively. Triangles in (b) representative polluting units in the study area. NRS, PF, CPP, TF, MP, SF, CF, and CP in (b) represent the North Railway Station, pharmaceutical factory, coal-fired power generation plant, textile factory, machinery plant, steel and iron factory, coking factory, and chemical plant, respectively. However, it should be noted that, besides these polluting units shown in the figure, there are also dozens of other relatively small polluting units distributed in the study area.
Statistical results (mg·kg−1) and enrichment factor (EF) values for heavy metal concentrations in the <63 μm fractions of the 43 settled dust samples from the Shijiazhuang main urban area. Besides, average concentrations of heavy metals in the local natural soil, the Upper Continental Crust (UCC), and dust from other typical cities in China are also listed.
| Location | Type | Item | Cr | Mn | Fe | Co | Ni | Cu | Zn | Cd | Pb | V | Data Source |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| mg·kg−1 | |||||||||||||
| Shijiazhuang | Settled dust (<63 μm) | Min | 79.7 | 370.9 | 25,983 | 8.1 | 22.2 | 48.5 | 267.2 | 0.86 | 71.2 | 33.9 | This study |
| Max | 279.6 | 852.1 | 78,899 | 26.2 | 82.9 | 330.1 | 1485.8 | 8.28 | 571.3 | 114.9 | |||
| Median | 137.9 | 556.0 | 42,715 | 14.1 | 39.2 | 99.6 | 466.9 | 2.40 | 146.9 | 63.7 | |||
| Average | 141.4 | 562.3 | 43,348 | 14.9 | 42.1 | 107.3 | 514.5 | 2.84 | 177.0 | 65.9 | |||
| Stdev | 41.2 | 102.2 | 10,692 | 3.3 | 13.7 | 47.9 | 216.6 | 1.55 | 99.9 | 14.9 | |||
| EF | 2.4 ± 0.4 | 1.1 ± 0.1 | 1.8 ± 0.2 | 1.4 ± 0.1 | 1.6 ± 0.2 | 5.7 ± 1.7 | 7.6 ± 2.7 | 38.7 ± 19.7 | 9.5 ± 5.7 | 1.0 ± 0.1 | |||
| Hebei | Natural soil | Average | 68.3 | 608 | 28,200 | 12.4 | 30.8 | 21.8 | 78.4 | 0.09 | 21.5 | 73.2 | [ |
| UCC | - | Average | 35 | 600 | 35,000 | 10 | 20 | 25 | 71 | 0.098 | 20 | 60 | [ |
| Beijing | Settled dust (<63 μm) | Average | 86.0 | 607.1 | - | 10.6 | 45.2 | 138.4 | 722.7 | 2.29 | 167.9 | 57.9 | [ |
| Changchun | Surface dust (<0.8 mm) | Average | 96.0 | 692.0 | - | - | - | 68.4 | 465.4 | - | 93.6 | - | [ |
| Xi’an | School dust (<75 μm) | Average | 149.2 | 558.3 | - | 43.4 | 34.6 | 70.8 | 461.5 | - | 180.9 | 67.6 | [ |
| Wuhan | Surface dust (<250 μm) | Average | 130 | - | - | 14 | 33 | 138 | 835 | - | 281 | - | [ |
| Chengdu | Outdoor Dust (<63 μm) | Average | 143 | 817 | - | 14.3 | 48.0 | 139 | 1150 | 2.12 | 114 | - | [ |
Figure 2Box-plots for the enrichment factors (EF) of heavy metals in the 43 settled dust samples from the Shijiazhuang urban area relative to the local natural soil (Al was chosen as the reference element).
Figure 3Hierarchical dendrogram for heavy metals in the 43 settled dust samples obtained by Ward’s hierarchical clustering method.
Figure 4Pollution indexes (PIs) of heavy metals in the 43 settled dust samples from the Shijiazhuang urban area relative to the local natural soil.
Figure 5Spatial distributions for the integrated pollution indexes (IPIs) of the ten heavy metals and pollution indexes (PIs) of the four heavily polluted metals (Cu, Zn, Cd, and Pb) in the settled dust over the Shijiazhuang main urban area.
A comparison of heavy metal concentrations (mg·kg−1) in settled dust from different urban functional areas in Shijiazhuang.
| Functional Area | No. | Cr | Mn | Fe | Co | Ni | Cu | Zn | Cd | Pb | V |
|---|---|---|---|---|---|---|---|---|---|---|---|
| mg·kg−1 | |||||||||||
| North Railway Station | 1 | 279.6 | 810.6 | 78,899 | 26.2 | 82.9 | 330.1 | 1485.8 | 6.12 | 470.0 | 114.9 |
| Industrial area | 16 | 143.2 | 555.2 | 41,630 | 14.7 | 43.0 | 101.2 | 560.0 | 3.58 | 173.2 | 63.2 |
| Heavily trafficked area | 8 | 142.8 | 571.1 | 44,948 | 15.1 | 40.5 | 103.9 | 471.2 | 2.70 | 228.6 | 67.0 |
| Commercial area | 4 | 126.8 | 539.4 | 43,548 | 14.5 | 43.3 | 112.2 | 476.4 | 2.13 | 180.0 | 66.7 |
| Administration-education area | 3 | 160.3 | 579.7 | 43,894 | 16.0 | 42.2 | 102.2 | 395.6 | 1.90 | 136.4 | 72.1 |
| Other unclassified sites | 11 | 125.2 | 547.1 | 41,228 | 13.9 | 37.8 | 97.9 | 442.1 | 2.02 | 128.2 | 62.7 |