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

被引:6
|
作者
Wu, Jin [1 ]
Yang, Gang [2 ]
Chen, Haiyang [3 ]
Zhai, Yuanzheng [3 ]
Teng, Yanguo [3 ]
Li, Jiao [4 ]
Chen, Ruihui [5 ]
机构
[1] Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China
[2] Minist Water Resources, Dev Res Ctr, Beijing 100038, Peoples R China
[3] Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China
[4] Minist Ecol & Environm, Tech Ctr Soil Agr & Rural Ecol & Environm, Beijing 100012, Peoples R China
[5] Beijing Water Sci & Technol Inst, Beijing 100048, Peoples R China
基金
中国国家自然科学基金;
关键词
Source-oriented risks; Source risk calculation; Northeastern China; Agricultural soils; Multidisciplinary-based framework; POLYCYCLIC AROMATIC-HYDROCARBONS; HEAVY-METALS; POLLUTION; TOXICITY; COUNTY; PCBS; ZN;
D O I
10.1016/j.scitotenv.2023.167337
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A new innovative methodology system framework for source apportionment and source-specific risk assessment has been proposed and actively applied to identify the contamination characteristics, oriented sources and health risks associated with contamination levels of Heavy metals (HMs) and Polycyclic Aromatic Hydrocarbons (PAHs) in soils, a typical cold agricultural region in Northeastern China. To achieve this meaningful goal, a large-scale dataset including 1780 top soil samples, 10 HMs and 16 priority PAHs has been organized and collected from a typical study area in China. The total concentrations of the 10 selected HMs in study area range from 0.05 to 2147.40 mg/kg, with an average of 549.25 +/- 541.37 mg/kg. The average concentrations of PAHs for (3-6)-rings are 16.60 +/- 18.90, 26.40 +/- 28.20, 9.51 +/- 13.00 and 1.99 +/- 5.30 ng/g, respectively. On the base of optimized literature source fingerprints for HM and PAH, a widely used receptor model, positive matrix factorization (PMF) has been applied to apportion the contamination sources HMs and PAHs in soils. Then source-specific health risk of soil HMs and PAHs have been assessed using the probabilistic incremental lifetime cancer risk model incorporated with source apportionment results data. Fertilizer residues/coke oven comprise the primary contamination source contributors of HMs and PAHs with corresponding contributions of 32.23 % and 27.93 % for HMs and 37.94 % for PAHs. Fertilizer/pesticide residues contributes most to the risks of soil HMs (28.8 %), followed by fossil fuel combustion (24.6 %), mining activities (20.2 %), traffic and vehicle emission (16.3 %) and electroplating/dyeing (14.1 %). Meanwhile, the ranking of health risks from the five identified contamination sources of soil PAHs are resident discharge, coal-fired boilers, coke oven emission, gasoline combustion and power plant, with the contribution of 27.1 %, 25.3 %, 17.3 %, 15.5 % and 14.8 %. And relatively, source-specific risk assessment demonstrates fossil fuel and coal combustion contribute the greatest impact to the total risk of HMs and PAHs (61.7 % and 56.1 %), respectively. This study provides a good example of how the source specific health risk assessment can be utilized to reduce the contamination in soils.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Developing an integrated framework for source apportionment and source-specific health risk assessment of PAHs in soils: Application to a typical cold region in China
    Zhang, Yuxin
    Chen, Haiyang
    Liu, Chang
    Chen, Ruihui
    Wang, Yeyao
    Teng, Yanguo
    [J]. JOURNAL OF HAZARDOUS MATERIALS, 2021, 415
  • [2] Groundwater pollution and risk assessment based on source apportionment in a typical cold agricultural region in Northeastern China
    Chen, Ruihui
    Teng, Yanguo
    Chen, Haiyang
    Hu, Bin
    Yue, Weifeng
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 696
  • [3] An Integrated Approach for Source Apportionment and Health Risk Assessment of Heavy Metals in Subtropical Agricultural Soils, Eastern China
    Li, Ping
    Wu, Tao
    Jiang, Guojun
    Pu, Lijie
    Li, Yan
    Zhang, Jianzhen
    Xu, Fei
    Xie, Xuefeng
    [J]. LAND, 2021, 10 (10)
  • [4] Heavy Metals in Agricultural Soils from a Typical Mining City in China: Spatial Distribution, Source Apportionment, and Health Risk Assessment
    Tang, Jiaxi
    He, Miaomiao
    Luo, Qing
    Adeel, Muhammad
    Jiao, Feng
    [J]. POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2020, 29 (02): : 1379 - 1390
  • [5] Source apportionment and health risk assessment of heavy metals in agricultural soils in Xinglonggang, Northeastern China
    Song, Tiejun
    Su, Xiaosi
    He, Jin
    Liang, Yukai
    Zhou, Tao
    [J]. HUMAN AND ECOLOGICAL RISK ASSESSMENT, 2018, 24 (02): : 509 - 521
  • [6] Implications of seasonal control of PM2.5-bound PAHs: An integrated approach for source apportionment, source region identification and health risk assessment
    Chao, Sihong
    Liu, Jianwei
    Chen, Yanjiao
    Cao, Hongbin
    Zhang, Aichen
    [J]. ENVIRONMENTAL POLLUTION, 2019, 247 : 685 - 695
  • [7] Source apportionment and risk assessment of heavy metals in typical greenhouse vegetable soils in Shenyang, China
    Xu Zhang
    Xueying Song
    Huiyu Zhang
    Yushuang Li
    Yongxia Hou
    Xiaoxu Zhao
    [J]. Environmental Monitoring and Assessment, 2024, 196
  • [8] Source apportionment and risk assessment of heavy metals in typical greenhouse vegetable soils in Shenyang, China
    Zhang, Xu
    Song, Xueying
    Zhang, Huiyu
    Li, Yushuang
    Hou, Yongxia
    Zhao, Xiaoxu
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 2024, 196 (01)
  • [9] Source Apportionment and Risk Assessment of Heavy Metals in Agricultural Soils in a Typical Mining and Smelting Industrial Area
    Li, Wei
    Cao, Xudong
    Hu, Yuanan
    Cheng, Hefa
    [J]. SUSTAINABILITY, 2024, 16 (04)
  • [10] Source apportionment and specific risk assessment of heavy metals in sediment: Application to the Typical Bay, China
    Cheng, Jiayi
    Wang, Xiaomeng
    Kong, Lingna
    Li, Yuxia
    Han, Jianbo
    Zhang, Xiaoxia
    [J]. REGIONAL STUDIES IN MARINE SCIENCE, 2022, 54