Spatially apportioning the source-oriented ecological risks of soil heavy metals using robust spatial receptor model with land-use data and robust residual kriging

2021 ◽  
Vol 285 ◽  
pp. 117261
Author(s):  
Mingkai Qu ◽  
Xu Guang ◽  
Yongcun Zhao ◽  
Biao Huang
2021 ◽  
Author(s):  
Yang Lin ◽  
Kai Luo ◽  
Zilin Su ◽  
Yang Wu ◽  
Wei Xiao ◽  
...  

Abstract The urbanization is regarded as the major factor related to human activities that may interfere with the natural ecosystem. In this study, we have selected the wetland of East Dongting Lake as the research area. We have collected 180 soil samples (within the range of 0–20 cm, and 20cm-40cm), and we have measured the contents of their physicochemical properties (including salinity, pH value, soil particle composition, soil organic carbon, nitrate nitrogen and rapidly available phosphorus) as well as heavy metal elements (including As, Hg, Cd, Pb, Ni and Cr). We have adopted the methods of multivariate statistical analysis and inverse distance weighted (IDW) interpolation, so as to to reveal the sources and distribution characteristics of heavy metal content in soil in the research area. By adopting the potential ecological risk index (PERI) method proposed by Hakanson, we intend to assess the PERI values of heavy metals. Our research findings have shown that: (1) 8 sorts of heavy metals have shown positive correlation with each other. As, Hg and Zn have shown a significantly positive correlation with SOC (P < 0.01); As, Ni, Cr and Zn have shown a significantly positive correlation with AP (P < 0.01); As and Pb have shown a significantly positive correlation with Clay (P < 0.01); whereas Hg and Zn have shown a significantly negative correlation with Silt (P < 0.01); As and Pb have shown a significantly negative correlation with Sand (P < 0.01). (2) During urbanization, the elements of Cd, Ni, As, Hg and Pb might be enriched due to agricultural and industrial activities, whereas the use of fertilizers and pesticides constitute one of the major factors contributing to the increase of Cd and Pb contents in soil. (3) Influenced by the varying land patterns and with exception to Cu, the Fe-normalized concentrations have shown significant variations among different types of land use (P < 0.05). Specifically, there is a significantly higher level of Cd, Zn, Pb and Hg contents in the agricultural land than other types of land use, whereas there is a slightly higher level of heavy metal content in the mudflats than that in the grassland. In addition, the content of heavy metals in woodland remains relatively stable, and with exception to As, the content of heavy metals in woodland is the lowest among the five types of land. (4) The average value of the comprehensive PERI in heavy metals amounts to 555.03, representing a strong degree of ecological risks. Specifically, the proportion of sampling points of Cd that have a high level of ecological risks amounts to 36.51%, which is the primary element contributing to heavy metal pollution in the region, especially in the agricultural land.


2011 ◽  
Vol 356-360 ◽  
pp. 630-635
Author(s):  
Lei Gu ◽  
Bo Song ◽  
Zhi Qi Tong ◽  
Jian Hua Ma

Wanliu and Xiaowangzhuang transects which operated in 1994 and 2001 respectively along Zhengzhou-Shangqiu section on Lianyungang-Horgas highway were chosen to investigate heavy metal (Cd, Cu, Pb, Zn, Ni, and Cr) pollution and potential ecological risks of roadside soils. Concentrations of soil heavy metals on Wanliu transect were higher than that on Xiaowangzhuang transect. The content of soil heavy metals increases with the distance away from highway, reaching a maximum value, and then decreases gradually. Potential ecological risks of the soil metals are at moderate level on Wanliu transect, while slight level on the other transect. Concentrations of most soil heavy metals and their potential ecological risks present skewness distribution with the distance form highway roadbed. The highest risk indexes (RI) for different metals on Wanliu transect are among 50 ~100 m from highway roadbed, farther than that on Xiaowangzhuang transect at 35 m. Most of the soil samples on northern side of the highway show higher metal concentrations and potential ecological risks than that on southern side. The total risk index was contributed by the heavy metal of Cd (averagely 61.39%), which is the main factor of potential ecological risks. The grade standards for different ecological risk levels must be modified according to types and amount of pollutants studied and their toxic-response factors.


2019 ◽  
Vol 181 ◽  
pp. 435-444 ◽  
Author(s):  
Shiliang Liu ◽  
Guohao Pan ◽  
Yueqiu Zhang ◽  
Jingwei Xu ◽  
Rui Ma ◽  
...  

2018 ◽  
Vol 243 ◽  
pp. 49-58 ◽  
Author(s):  
Jinhui Huang ◽  
Shiting Guo ◽  
Guang-ming Zeng ◽  
Fei Li ◽  
Yanling Gu ◽  
...  

Author(s):  
Qi Li ◽  
Jinming Zhang ◽  
Wen Ge ◽  
Peng Sun ◽  
Yafen Han ◽  
...  

To accurately assess the potential ecological risk posed by heavy metals in lime concretion black soil and quantify the risk contributions from different sources, an investigation of 217 surface soil samples and 56 subsoil samples was performed in the southern part of Suzhou City. Geochemical baseline values of soil heavy metals (Cr, Zn, Pb, Ni, Hg, Cu, Cd, As, Mn and Co) in the study area were calculated as 53.6, 61.5, 19.8, 27.6, 0.08, 18.4, 0.13, 12.9, 416.1 and 11.0 mg/kg, respectively, by using reference metal normalization and cumulative frequency curve methods. Subsequently, four potential sources of soil heavy metals were identified by the positive matrix factorization. Finally, the potential ecological risks arising from the identified sources were determined by the integrated model of positive matrix factorization and Hakanson potential ecological risk index. Results showed that the ecological risk posed by soil heavy metals in the study area ranged from low to moderate level. Hg and Cd were the two largest risk contributors, supplying 36.0% and 30.3% of total risk value. The origin of heavy metals in the soils is mostly related to four sources including agricultural activities, natural dispersion, coal consumption and traffic pollution. Source apportionment of the potential ecological risks revealed that the dominant risk source in the study area was natural dispersion (42.0%), followed by coal related industries (26.5%), agricultural activities (20.4%) and traffic pollution (11.1%). This work gives a clear baseline information of the heavy metal accumulations in lime concretion black soil and provides a successful case study for the source-oriented ecological risk assessment.


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