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
  • [41] Distribution characteristics, source analysis and health risk assessment of heavy metals in farmland soil in Shiquan County, Shaanxi Province
    Wei, Mengchu
    Pan, Aifang
    Ma, Runyong
    Wang, Hui
    PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2023, 171 : 225 - 237
  • [42] Quantitative source identification and apportionment of heavy metals under two different land use types: comparison of two receptor models APCS-MLR and PMF
    Min Zhang
    Xueping Wang
    Chang Liu
    Jiayu Lu
    Yuhong Qin
    Yunkan Mo
    Pengjun Xiao
    Ying Liu
    Environmental Science and Pollution Research, 2020, 27 : 42996 - 43010
  • [43] Source Analysis and Pollution Assessment of Heavy Metals in Farmland Soil Around Tongshan Mining Area
    Chen H.
    Wang Y.
    Wang S.
    Huanjing Kexue/Environmental Science, 2022, 43 (05): : 2719 - 2731
  • [44] Ecological Risk Assessment and Source Apportionment of Heavy Metals in the Soil of an Opencast Mine in Xinjiang
    Fan, Tingyu
    Pan, Jinhong
    Wang, Xingming
    Wang, Shun
    Lu, Akang
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (23)
  • [45] Pollution Characteristics and Ecological Risk Assessment of Typical Heavy Metals in the Soil of the Heavy Industrial City Baotou
    Chen, Xiangmei
    Ren, Yongqiang
    Li, Chi
    Shang, Yan
    Ji, Rui
    Yao, De
    He, Yingchun
    PROCESSES, 2025, 13 (01)
  • [46] Spatiotemporal Distribution and Source Analysis of Heavy Metals in Surface Sediments in Lake Ulansuhai Based on PCA-APCS-MLR Model
    Cui Z.-M.
    Shi X.-H.
    Zhao S.-N.
    Lu J.-P.
    Zhang H.
    Liu Y.-H.
    Guo X.
    Wang Y.-J.
    Huanjing Kexue/Environmental Science, 2024, 45 (03): : 1415 - 1427
  • [47] Risk Assessment of Heavy Metals Pollution in Farmland Soil Around a Mine
    Fan, Zhendi
    Chen, Jingying
    Gao, Bai
    PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON EDUCATION, SPORTS, ARTS AND MANAGEMENT ENGINEERING, 2016, 54 : 99 - 102
  • [48] Potential Source Identification and Ecological Risk Assessment of Heavy Metals in Surface Soil of Heze Oil Peony Planting Area Based on PMF-PCA/APCS and PERI
    Zhao Q.-L.
    Li Q.-C.
    An M.-G.
    Yu L.-S.
    Wan X.
    Cao F.-H.
    Han W.-C.
    Chen J.
    Wang T.-G.
    Huanjing Kexue/Environmental Science, 2023, 44 (09): : 5253 - 5263
  • [49] Assessment of Potential Ecological Hazard of Heavy Metals in Farmland Based on GIS
    Zheng, Xuecheng
    Li, Chao
    Li, Dongwei
    CONTAMINATED SITES REMEDIATION, 2012, 414 : 83 - +
  • [50] The sources risk assessment combined with APCS/MLR model for potentially toxic elements in farmland of a first-tier city, China
    Li, Ning
    Li, Yan
    Wang, Genmei
    Zhang, Huanchao
    Zhang, Xiangling
    Wen, Jiale
    Cheng, Xinyu
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (33) : 50717 - 50726