Ecological Risk Assessment and Source Analysis of Heavy Metals in Farmland Soil in Yangchun City Based on APCS-MLR and Geostatistics

被引:1
|
作者
Li, Yingyuting [1 ]
Zhang, Yili [1 ]
Chen, Junyu [1 ]
Yang, Guangfei [1 ]
Li, Haihui [1 ]
Wang, Jinjin [1 ]
Li, Wenyan [1 ,2 ]
机构
[1] South China Agr Univ, Coll Nat Resources & Environm, Guangdong Prov Key Lab Land Use & Consolidat, Guangzhou 510642, Peoples R China
[2] Minist Agr & Rural Affairs, Key Lab Arable Land Conservat South China, Guangzhou 510642, Peoples R China
来源
AGRICULTURE-BASEL | 2024年 / 14卷 / 02期
关键词
heavy metal; source apportionment; APCS-MLR; SOURCE APPORTIONMENT; CONTAMINATION CHARACTERISTICS; SURFACE SEDIMENTS; POLLUTION; CHINA; URBAN;
D O I
10.3390/agriculture14020309
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Yangchun City, a typical polymetallic ore distribution area in Guangdong Province (China), was selected as the research region to study the content, distribution, source, and possible impacts of heavy metals (HMs) (Arsenic: As; Cadmium: Cd; Chromium: Cr; Copper: Cu; Mercury: Hg; Nickel: Ni; Lead: Pb; and Zinc: Zn) on the farmland soil of this City. According to our findings, the spatial distribution of HMs in Yangchun City shows higher concentrations in the north and southeast and lower in the west and other regions. Metal content in some sampled sites of the agricultural land exceeded the soil pollution risk screening values, particularly As (7.5%), Cd (12%), Cu (4%), Hg (14.5%), and Pb (3%). Additionally, the average content of As, Cu, Cd, Pb, Hg, and Zn from the studied areas surpassed the soil background value of Guangdong Province for all metals. The absolute principal component score-multiple linear regression (APCS-MLR) was used to identify potential sources of HMs in the soil samples. There are three potential sources identified by the model: traffic emissions, natural sources, and agricultural activities, accounting for 28.16%, 16.68%, and 14.42%, respectively. Based on the ecological risk assessment, the potential ecological risk (Eri = 310.77), Nemero pollution index (PN = 2.27), and multiple possible effect concentration quality (mPECQs = 0.23) indicated that the extent of heavy metal pollution in the soil samples was moderate. Three sources were identified: traffic emissions, natural sources, and agricultural activities. We suggest that by combining the above results, a monitoring and early warning system focused on Cd and Hg can be established. The system could utilize geographic information systems and remote sensing technologies to achieve dynamic monitoring and prediction of pollution. Regular testing of soils and sustainable management practices are also recommended to control and remediate contamination.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Health risk assessment of heavy metal(loid)s in the farmland of megalopolis in China by using APCS-MLR and PMF receptor models: Taking Huairou District of Beijing as an example
    Wang, Jinhang
    Wu, Huihui
    Wei, Wenxia
    Xu, Congbin
    Tan, Xiao
    Wen, Yi
    Lin, Aijun
    SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 835
  • [32] Distribution Characteristics, Risk Assessment, and Source Analysis of Heavy Metals in Farmland Soil of a Karst Area in Southwest China
    Ma, Yiqi
    Ning, Jing
    Yang, Hui
    Zhang, Liankai
    Xu, Can
    Huang, Chao
    Liang, Jianhong
    LAND, 2024, 13 (07)
  • [33] Source Analysis and Ecological Risk Assessment of Heavy Metals in the Arable Soil at the Geological High Background, Based on the Township Scale
    Yu F.
    Wang J.-B.
    Wang R.
    Wang Y.
    Ning M.-H.
    Zhang Y.-Y.
    Su L.-M.
    Dong J.-X.
    Huanjing Kexue/Environmental Science, 2023, 44 (05): : 2832 - 2848
  • [34] Spatial Distribution, Source Analysis, and Health Risk Assessment of Heavy Metals in the Farmland of Tangwang Village, Huainan City, China
    Liu, Ying
    Shen, Wenjing
    Fan, Kaixuan
    Pei, Weihao
    Liu, Shaomin
    AGRONOMY-BASEL, 2024, 14 (02):
  • [35] Distribution Characteristics,Source Analysis and Ecological Risk Assessment of Heavy Metals in the Typical Industry Reclaimed Soil
    Shen C.
    Wang W.-J.
    Sha C.-Y.
    Xie Y.-Q.
    Wang M.
    Wu J.
    Huanjing Kexue/Environmental Science, 2024, 45 (03): : 1769 - 1780
  • [36] Geochemical Characteristics and Ecological Risk Assessment of Heavy Metals in Surface Soil of Gaomi City
    Gao, Zongjun
    Dong, Hongzhi
    Wang, Songtao
    Zhang, Yuqi
    Zhang, Hairui
    Jiang, Bing
    Liu, Yang
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (16)
  • [37] Ecological risk assessment and source apportionment of heavy metals contamination: an appraisal based on the Tellus soil survey
    Ali Keshavarzi
    Vinod Kumar
    Güneş Ertunç
    Eric C. Brevik
    Environmental Geochemistry and Health, 2021, 43 : 2121 - 2142
  • [38] Ecological risk assessment and source apportionment of heavy metals contamination: an appraisal based on the Tellus soil survey
    Keshavarzi, Ali
    Kumar, Vinod
    Ertunc, Gunes
    Brevik, Eric C.
    ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2021, 43 (05) : 2121 - 2142
  • [39] A comprehensive method of source apportionment and ecological risk assessment of soil heavy metals: A case study in Qingyuan city, China
    Wei, Rongfei
    Meng, Zirui
    Zerizghi, Teklit
    Luo, Jie
    Guo, Qingjun
    SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 882
  • [40] Quantitative source identification and apportionment of heavy metals under two different land use types: comparison of two receptor models APCS-MLR and PMF
    Zhang, Min
    Wang, Xueping
    Liu, Chang
    Lu, Jiayu
    Qin, Yuhong
    Mo, Yunkan
    Xiao, Pengjun
    Liu, Ying
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2020, 27 (34) : 42996 - 43010