| Title |
Heavy metal pollution assessment, source identification, and health risk evaluation in Aibi Lake of northwest China
|
|---|---|
| Published in |
Environmental Monitoring and Assessment, January 2018
|
| DOI | 10.1007/s10661-017-6437-x |
| Pubmed ID | |
| Authors |
Zhang Zhaoyong, Yang Xiaodong, Yang Shengtian |
| Abstract |
This study sought to analyze heavy metal (Pb, Zn, Cu, Ni, Mn, and Fe) pollution status in the waters of Aibi Lake in northwest China through the use of an applied comprehensive pollution index, health risk model, and multivariate statistical analyses in combination with the lake's land use types. Results showed that (1) the maximum (average) values of the heavy metals Pb, Zn, Cu, Ni, Mn, and Fe were 0.0644 (0.0123), 0.0006 (0.0002), 0.0009 (0.0032), 0.1235 (0.0242), 0.0061 (0.0025), and 0.0222 (0.0080) μg/L, respectively. Among these, in all the samples, Pb and Ni exceeded the standard and acceptable values put forth by the World Health Organization by 21.13 and 25.67%, respectively. Ni also exceeded (30.16%) the third grade of the Environmental Quality Standards for Surface Water of China. The levels of the six heavy metals were all within the fishery and irrigation water quality standard ranges in China. (2) The average values for single pollution index of heavy metals Pb, Zn, Cu, Ni, Mn, and Fe were 1.000, 0.0006, 0.0009, 3.000, 0.060, and 0.070, respectively, among which Ni levels indicated moderate to significant pollution, while others indicated healthy levels. (3) Health risk evaluation showed that the Rn values for Pb, Zn, Cu, Mn, and Fe were 1.8 × 10-4, 5.33 × 10-9, 4.80 × 10-7, 1.08 × 10-6, and 2.51 × 10-7 a-1, respectively, of which, in all samples, Pb and Ni contents all exceeded the maximum acceptable risk levels according to the International Commission on Radiological Protection (ICRP) as well as the U.S. Environment Protection Agency. (4) Combining with multivariate statistical analyses along with the land use distribution within the lake basin, Pb, Zn, Cu, Ni, and Mn were mainly influenced by the agriculture production and emission from urban lives and traffics, and Fe mainly originated from the natural environment. The results of this research can provide reference values for heavy metal pollution prevention in Aibi Lake as well as for environmental protection of rump lakes in the arid regions of northwest China and Central Asia. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 20% |
| Student > Bachelor | 9 | 20% |
| Researcher | 4 | 9% |
| Student > Master | 4 | 9% |
| Student > Doctoral Student | 3 | 7% |
| Other | 4 | 9% |
| Unknown | 11 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 7 | 16% |
| Engineering | 6 | 14% |
| Agricultural and Biological Sciences | 4 | 9% |
| Earth and Planetary Sciences | 3 | 7% |
| Chemical Engineering | 2 | 5% |
| Other | 7 | 16% |
| Unknown | 15 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 May 2018.
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#19,382,126
of 23,854,458 outputs
Outputs from Environmental Monitoring and Assessment
#1,865
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Outputs of similar age
#338,647
of 448,303 outputs
Outputs of similar age from Environmental Monitoring and Assessment
#37
of 58 outputs
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