Potentially toxic element source apportionment and risk assessment in agricultural soils around a large-scale Pb-Zn mine in Southwest China

被引:0
|
作者
Wei, Heng [1 ,2 ]
Niu, Xuekui [2 ]
Li, Minmin [2 ]
Cui, Canwen [2 ]
Wei, Zhonghua [2 ]
Long, Wei [2 ]
Tang, Man [2 ]
Yu, Hong [2 ]
Zhang, Peng [1 ]
He, Liping [2 ]
Pan, Bo [1 ]
机构
[1] Kunming Univ Sci & Technol, Fac Environm Sci & Engn, Yunnan Prov Key Lab Soil Carbon Sequestrat & Pollu, Kunming 650500, Peoples R China
[2] Yunnan Res Acad Ecoenvironm Sci, Yunnan Natl Engn Res Ctr Control & Treatment Heavy, Kunming 650034, Peoples R China
来源
关键词
Farmland; Potentially toxic elements; Source identification; Source quantification; Ratio correlation; Risk evaluation; HEAVY-METAL POLLUTION; ESTIMATING UNCERTAINTY; HEALTH-RISKS; LEAD; IDENTIFICATION; INVENTORY; SMELTERS; PROVINCE; PMF; CD;
D O I
10.1016/j.jece.2024.113722
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Potentially toxic element (PTE) pollution from mining activities has raised global concerns because of its significant toxicity, bioaccumulation, and persistence. Therefore, the aim of the study was to establish a solid scientific foundation for precise pollution control, by accurately quantifying PTE pollution sources entering farmlands and assessing their potential ecological risk (PER). Typical PTEs (Cd, Ni, Pb, Cu, Zn, Cr, As, and Hg) were detected in farmlands surrounding a large-scale Pb-Zn mining area. Among the topsoil samples, 89.09 % (Cd), 62.72% (Pb), 49.09% (Zn), 45.45% (Hg), 24.55% (As), and 0.91% (Cu) of the samples exceeded their corresponding risk screening values. Source apportioning integrated three approaches: multivariate statistical analysis (MSA), PTE ratio correlation analysis, and positive matrix factorization (PMF). The results showed that 76.7 % of Ni, 76.5 % of Cr, and 54.6% of Cu were derived from natural sources; 87.6 % of Hg was derived from industrial activities; 89.2 % of Cd, 82 % of Zn, and 77.1 % of Pb originated from solid wastes; and agricultural activities accounted for 75.1 % of As and 23% of Cu. For further assessment, the PER model was used to quantify the risks of different sources, ranking them from highest to lowest as follows: solid wastes > industrial activities > natural sources > agricultural activities. Therefore, more measures must be taken to control solid waste pollution. Our findings can contribute to pollution source control, targeted soil remediation, and the establishment of effective environmental protection policies. These integrated methods can guide the source apportionment and risk assessment of PTEs.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Accumulation Pattern and Risk Assessment of Potentially Toxic Elements in Permafrost-Affected Agricultural Soils in Northeast China
    Yu, Junbo
    Zhou, Chuanfang
    Yang, Ke
    Sun, Qifa
    Zhang, Qipeng
    Yang, Zhiwei
    Chen, Yangyang
    [J]. TOXICS, 2023, 11 (07)
  • [22] Source apportionment of potentially toxic PM10 near a vast metallic ore mine and health risk assessment for residents exposed
    Boente, Carlos
    Zafra-Perez, Adrian
    Fernandez-Caliani, Juan Carlos
    de la Campa, Ana Sanchez
    Sanchez-Rodas, Daniel
    de la Rosa, Jesus D.
    [J]. ATMOSPHERIC ENVIRONMENT, 2023, 301
  • [23] Potentially Toxic Element Pollution Levels and Risk Assessment of Soils and Sediments in the Upstream River, Miyun Reservoir, China
    Pan, Libo
    Fang, Guangling
    Wang, Yue
    Wang, Lei
    Su, Benying
    Li, Dan
    Xiang, Bao
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2018, 15 (11)
  • [24] Spatial Distribution, Risk Assessment, Source Apportionment and Stabilization Performance of Potentially Toxic Elements in Sediments of Dongdagou River, Northwest China
    Zhao, Duan
    Sang, Yimin
    Zhang, Qian
    Man, Yang
    Han, Yanhe
    Wu, Bin
    Guo, Caiyun
    Gu, Qingbao
    [J]. WATER AIR AND SOIL POLLUTION, 2024, 235 (06):
  • [25] Source Apportionment and Health Risk Assessment of Groundwater Potentially Toxic Elements (PTEs) Pollution Characteristics in an Accident Site in Zhangqiu, China
    Wang, Min
    Song, Xiaoyu
    Han, Yu
    Ding, Guantao
    Zhang, Ruilin
    Wei, Shanming
    Gao, Shuai
    Liu, Yuxiang
    [J]. WATER, 2024, 16 (05)
  • [26] Quantitative source apportionment, risk assessment and distribution of heavy metals in agricultural soils from southern Shandong Peninsula of China
    Liu, Haiwei
    Zhang, Yan
    Yang, Jiashuo
    Wang, Haiyun
    Li, Yile
    Shi, Yi
    Li, Decheng
    Holm, Peter E.
    Ou, Quan
    Hu, Wenyou
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 767
  • [27] A comprehensive exploration on the health risk quantification assessment of soil potentially toxic elements from different sources around large-scale smelting area
    Chang-Chen Huang
    Li-Mei Cai
    Yao-Hui Xu
    Luo Jie
    Lai-Guo Chen
    Guo-Cheng Hu
    Hui-Hao Jiang
    Xu-Bang Xu
    Jing-Xian Mei
    [J]. Environmental Monitoring and Assessment, 2022, 194
  • [28] A comprehensive exploration on the health risk quantification assessment of soil potentially toxic elements from different sources around large-scale smelting area
    Huang, Chang-Chen
    Cai, Li-Mei
    Xu, Yao-Hui
    Jie, Luo
    Chen, Lai-Guo
    Hu, Guo-Cheng
    Jiang, Hui-Hao
    Xu, Xu-Bang
    Mei, Jing-Xian
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 2022, 194 (03)
  • [29] Source apportionment and source specific health risk assessment of HMs and PAHs in soils with an integrated framework in a typical cold agricultural region in China
    Wu, Jin
    Yang, Gang
    Chen, Haiyang
    Zhai, Yuanzheng
    Teng, Yanguo
    Li, Jiao
    Chen, Ruihui
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 904
  • [30] Pollution Assessment of Potentially Toxic Elements (PTEs) in Soils around the Yanzhuang Gold Mine Tailings Pond, Pinggu County, Beijing, China
    Zhao, Guangjie
    Li, Xianqing
    Zhu, Jiewang
    Zhao, Xueyan
    Zhang, Jizhen
    Zhai, Jia
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (14)