Evaluation and Source Analysis of Heavy Metal Pollution in Grassland Soils under Different Management Modes in Altay, Xinjiang

被引:2
|
作者
Hu, Qirong [1 ,2 ]
Li, Jinbao [1 ,2 ]
Wang, Yongzhi [1 ,2 ]
Huang, Pengcheng [1 ,2 ]
He, Xuemin [1 ,2 ,3 ]
机构
[1] Xinjiang Univ, Coll Ecol & Environm, Urumqi 830017, Peoples R China
[2] Educ Minist, Key Lab Oasis Ecol, Urumqi 830017, Peoples R China
[3] Minist Educ, Xinjiang Jinghe Observat & Res Stn Temperate Deser, Jinghe 833300, Peoples R China
来源
AGRONOMY-BASEL | 2023年 / 13卷 / 10期
基金
中国国家自然科学基金;
关键词
grassland; heavy metals; pollution evaluation; source analysis; SOURCE APPORTIONMENT; SPATIAL-DISTRIBUTION; FARMLAND SOILS; HEALTH-RISKS; MINE; PMF; BIOCONCENTRATION; CONTAMINATION; INDUSTRIAL; PASTURE;
D O I
10.3390/agronomy13102621
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
In order to study the characteristics and sources of heavy metal pollution within different grassland soil categories in Altay, 147 soil samples were collected in Fuyun County according to grassland type, and the contents of seven heavy metals (Cu, Pb, Cr, Zn, As, Ni, and Cd) were determined. The heavy metal pollution in the soil was evaluated using the Nemerow pollution and geological accumulation index methods. The absolute principal component score-multiple linear regression model (APCS-MLR) model was used to analyze the sources of heavy metals and the contribution rate of the pollution sources. The results showed that (1) the heavy metal content of 0 similar to 10 cm soil in the mining area was generally higher than the remaining two layers. Natural grassland was the most seriously contaminated, and the order of its contamination was Zn > Pb > Ni > Cd > Cu > Cr > As. (2) The evaluation results of the comprehensive pollution index showed that Ni and Cd were the main pollutants in five grassland types, and the evaluation results of the geological accumulation index method showed that natural grasslands were more polluted. (3) Three pollution sources were obtained according to the analysis using the APCS-MLR model, including natural and mining activity sources (32.6%), industrial coal combustion and sewage sources (24.7%), and an unknown source (42.7%). The results of the study can provide a basis for pollution control and ecological protection in the grasslands of Altay.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Heavy metal pollution and ecological risk under different land use types: based on the similarity of pollution sources and comparing the results of three evaluation models
    Gao, Haoran
    Gong, Jian
    Yang, Jianxin
    Chen, Guang
    Ye, Teng
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2023, 37 (10) : 3893 - 3913
  • [32] Global evaluation of heavy metal content in surface water bodies: A meta-analysis using heavy metal pollution indices and multivariate statistical analyses
    Kumar, Vinod
    Parihar, Ripu Daman
    Sharma, Anket
    Bakshi, Palak
    Sidhu, Gagan Preet Singh
    Bali, Aditi Shreeya
    Karaouzas, Loannis
    Bhardwaj, Renu
    Thukral, Ashwani Kumar
    Gyasi-Agyei, Yeboah
    Rodrigo-Comino, Jesus
    CHEMOSPHERE, 2019, 236
  • [33] Quantitative assessment of human health risks under different land uses based on soil heavy metal pollution sources
    Lu, Qian
    Wang, Shijie
    Bai, Xiaoyong
    Liu, Fang
    Li, Chaojun
    Deng, Yuanhong
    Tian, Shiqi
    HUMAN AND ECOLOGICAL RISK ASSESSMENT, 2021, 27 (02): : 327 - 343
  • [34] A Study on Heavy Metals in the Surface Soil of the Region around the Qinghai Lake in Tibet Plateau: Pollution Risk Evaluation and Pollution Source Analysis
    Wei, Peiru
    Shao, Tianjie
    Wang, Ruojin
    Chen, Zongyan
    Zhang, Zhongdi
    Xu, Zhiping
    Zhu, Yadi
    Li, Dongze
    Fu, Lijuan
    Wang, Feier
    WATER, 2020, 12 (11)
  • [35] Evaluation and Source Analysis of Soil Heavy Metal Pollution in a Planting Area in Wanquan District, Zhangjiakou City
    An Y.-L.
    Yin X.-L.
    Li W.-J.
    Jin A.-F.
    Lu Q.-Y.
    Huanjing Kexue/Environmental Science, 2023, 44 (06): : 3544 - 3561
  • [36] Contamination and Health Risk Assessment of Heavy Metal Pollution in Soils Developed from Different Soil Parent Materials
    Fei, Xufeng
    Lou, Zhaohan
    Xiao, Rui
    Lv, Xiaonan
    Christakos, George
    EXPOSURE AND HEALTH, 2023, 15 (02) : 395 - 408
  • [37] Evaluation of potential pollution risk and source analysis of heavy metals in paddy soil and rice
    Ao M.
    Chai G.
    Fan C.
    Liu G.
    Qin S.
    Wang P.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2019, 35 (06): : 198 - 205
  • [38] Arsenic and Heavy Metal Contamination in Soils under Different Land Use in an Estuary in Northern Vietnam
    Thinh Nguyen Van
    Ozaki, Akinori
    Hoang Nguyen Tho
    Anh Nguyen Duc
    Yen Tran Thi
    Kurosawa, Kiyoshi
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2016, 13 (11)
  • [39] Heavy metal concentration in the agricultural soils under the different climatic regions: a case study of Iran
    Shahbazi, Karim
    Marzi, Mostafa
    Rezaei, Hamed
    ENVIRONMENTAL EARTH SCIENCES, 2020, 79 (13)
  • [40] Will different land uses affect heavy metal pollution in soils of roadside trees? An empirical study from Shanghai
    He, Kun
    Wang, Junjie
    Geng, Hefang
    Qin, Zhenyan
    Li, Nan
    Zhang, Yanting
    Yang, Ruiqing
    Feng, Shucheng
    Wang, Benyao
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2023, 195 (11)