| Literature DB >> 31877641 |
Caili Sun1,2, Sixi Zhu1,2, Bin Zhao1,2, Wujiang Li1,2, Xiaoye Gao1, Xiaodan Wang1.
Abstract
Land use conversion could directly or indirectly influence heavy metal geochemistry by changing soil properties. The aim of this study was to explore the effect of land use conversion on surface soil heavy metal contamination in the karst plateau lakeshore wetlands of Southwest China. Based on this, a total of 120 soil samples were collected from 30 sites from different types of land uses (farmlands, grasslands and woodlands) around a lake in Suohuangcang National Wetland Park in August 2017. Contents of As, Cd, Cu, Cr, Hg, Pb and Zn were analyzed, and soil heavy metal contamination was assessed in all three land use types. Results showed that land use transformation from farmland to grassland or woodland was not conducive to the release of soil heavy metal. Surface soil of all three land use types have been moderately polluted by As, Cr, Pb, and Zn, and grassland and woodland also had moderate Cd contamination. The pollution load index (PLI) results revealed low heavy metal contamination in grassland and woodland but no contamination in farmland. Although the integrated contamination in the studied region did not pose a serious potential ecological risk (RI < 150), it might affect human health through the water supply and food chain. Therefore, it is necessary to monitor and control As, Cd, Cr, Pb, and Zn concentrations of surface soil through controlling pollutants, improving waste treatment, as well as strengthening supervision and management in the vicinity of the Suohuangcang National Wetland Park.Entities:
Keywords: ecological risk assessment; heavy metal contamination; karst plateau; lakeshore wetland; land uses conversion
Mesh:
Substances:
Year: 2019 PMID: 31877641 PMCID: PMC6982003 DOI: 10.3390/ijerph17010084
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Study area and soil sampling points. Note: Blue area and the red dot in the map of China respectively represent Guizhou province and Suohuangcang National Wetland Park. The blue triangle in Hezhang county boundary indicates main area of zinc smelting using an indigenous method.
Relationship between the potential ecological risk index of an individual element and pollution levels.
|
| Ecological Risk Level of Single-Factor Pollution | RI | General Level of Potential Ecological Risk |
|---|---|---|---|
|
| low | RI < 150 | low |
|
| moderate | 150 ≤ RI < 300 | moderate |
|
| considerable | 300 ≤ RI <600 | considerable |
|
| high | RI ≥ 600 | very high |
| very high |
Statistics results of heavy metal contents in surface soil of different land uses types.
| Land Use Types | Heavy Metals | Sample Size | Heavy Metal Contents (mg/kg) | Standard Deviation | Variable Coefficient | Background Value | ||
|---|---|---|---|---|---|---|---|---|
| Mean | Min | Max | ||||||
| farmland | Cr | 40 | 103.175 | 70.667 | 173.667 | 19.857 | 19.246 | 95.900 |
| Cu | 40 | 13.217 | 9.333 | 20.000 | 2.627 | 19.880 | 32.000 | |
| Zn | 40 | 133.158 | 90.333 | 205.333 | 27.622 | 20.744 | 99.500 | |
| As | 40 | 29.911 | 17.733 | 51.300 | 10.118 | 33.828 | 20.000 | |
| Hg | 40 | 0.074 | 0.061 | 0.095 | 0.009 | 12.176 | 0.110 | |
| Pb | 40 | 49.081 | 19.833 | 73.000 | 8.786 | 17.900 | 35.200 | |
| Cd | 40 | 0.581 | 0.402 | 0.88 | 0.136 | 23.355 | 0.659 | |
| grassland | Cr | 44 | 109.371 | 74.333 | 171.000 | 17.916 | 16.381 | 95.500 |
| Cu | 44 | 13.932 | 10.000 | 26.667 | 3.502 | 25.139 | 32.000 | |
| Zn | 44 | 139.197 | 100.667 | 205.667 | 26.589 | 19.101 | 99.500 | |
| As | 44 | 32.573 | 18.467 | 68.733 | 11.913 | 36.573 | 20.000 | |
| Hg | 44 | 0.075 | 0.055 | 0.105 | 0.011 | 14.674 | 0.110 | |
| Pb | 44 | 48.239 | 15.733 | 62.567 | 7.522 | 15.593 | 35.200 | |
| Cd | 44 | 0.697 | 0.547 | 0.851 | 0.103 | 14.816 | 0.659 | |
| woodland | Cr | 36 | 124.824 | 74.667 | 206.333 | 32.552 | 26.078 | 95.500 |
| Cu | 36 | 15.759 | 10.667 | 22.333 | 3.175 | 20.146 | 32.000 | |
| Zn | 36 | 149.176 | 92.667 | 272.667 | 47.164 | 31.616 | 99.500 | |
| As | 36 | 36.915 | 13.033 | 79.667 | 15.046 | 40.758 | 20.000 | |
| Hg | 36 | 0.080 | 0.066 | 0.100 | 0.010 | 12.315 | 0.110 | |
| Pb | 36 | 45.337 | 24.133 | 68.667 | 11.779 | 25.982 | 35.200 | |
| Cd | 36 | 0.725 | 0.555 | 1.006 | 0.127 | 17.493 | 0.659 | |
Figure 2Contents of heavy metal in surface soil of different land use types. Note: different letters above the bar plot indicate significant differences at p < 0.05. Post-test results of multiple comparison are shown in the Supplementary File (Table S1).
Concentration factor (CF) and pollution load index (PLI) of surface soil in different land use types.
| Land Use Types | CF | PLI | ||||||
|---|---|---|---|---|---|---|---|---|
| Cr | Cu | Zn | As | Hg | Pb | Cd | ||
| farmland | 1.076 | 0.413 | 1.338 | 1.496 | 0.675 | 1.394 | 0.882 | 0.948 |
| grassland | 1.140 | 0.435 | 1.399 | 1.629 | 0.681 | 1.370 | 1.057 | 1.005 |
| woodland | 1.302 | 0.492 | 1.499 | 1.846 | 0.724 | 1.288 | 1.100 | 1.078 |
The potential ecological risk factors (E) and the potential ecological risk index (RI) of surface soil in different land use types.
| Land Use Types |
|
| ||||||
|---|---|---|---|---|---|---|---|---|
| Cr | Cu | Zn | As | Hg | Pb | Cd | ||
| farmland | 2.152 | 2.065 | 1.338 | 14.955 | 27.009 | 6.972 | 26.446 | 61.463 |
| grassland | 2.281 | 2.177 | 1.399 | 16.287 | 27.223 | 6.852 | 31.712 | 63.071 |
| woodland | 2.603 | 2.462 | 1.499 | 18.457 | 28.960 | 6.440 | 32.995 | 66.862 |
The correlations of heavy metals in surface soil of different land use types.
| Land Use Types | Heavy Metals | Cr | Cu | Zn | As | Hg | Pb | Cd |
|---|---|---|---|---|---|---|---|---|
| farmland | Cr | 1 | ||||||
| Cu | 0.776 ** | 1 | ||||||
| Zn | 0.864 ** | 0.860 ** | 1 | |||||
| As | 0.481 | 0.814 ** | 0.662 * | 1 | ||||
| Hg | −0.035 | −0.463 | −0.194 | −0.62 | 1 | |||
| Pb | 0.357 | −0.154 | 0.118 | −0.498 | 0.695 * | 1 | ||
| Cd | 0.847 ** | 0.641 * | 0.835 ** | 0.634 * | −0.116 | 0.169 | 1 | |
| grassland | Cr | 1 | ||||||
| Cu | 0.484 | 1 | ||||||
| Zn | 0.742 ** | 0.775 ** | 1 | |||||
| As | 0.166 | 0.642 * | 0.416 | 1 | ||||
| Hg | −0.423 | −0.739 ** | −0.587 | −0.691 * | 1 | |||
| Pb | 0.526 | 0.093 | 0.48 | −0.518 | 0.116 | 1 | ||
| Cd | 0.434 | 0.821** | 0.849** | 0.593 | −0.634 * | 0.098 | 1 | |
| woodland | Cr | 1 | ||||||
| Cu | 0.632 | 1 | ||||||
| Zn | 0.893 ** | 0.835 ** | 1 | |||||
| As | 0.284 | 0.879 ** | 0.556 | 1 | ||||
| Hg | 0.116 | 0.26 | 0.122 | 0.069 | 1 | |||
| Pb | 0.606 | 0.278 | 0.650 | 0.021 | −0.073 | 1 | ||
| Cd | 0.879 ** | 0.722 * | 0.976 ** | 0.439 | 0.110 | 0.719 * | 1 |
Note: ** correlation is significant at the 0.01 level (2-tailed); * correlation is significant at the 0.05 level (2-tailed). The correlation test results are shown in the Supplementary File (Table S2).
Figure 3Principal component analysis (PCA) results of six heavy metals in surface soil of different land use types.