Spatial Distribution Characteristics and Source Appointment of Heavy Metals in Soil in the Areas Affected by Non-Ferrous Metal Slag Field in the Dry-Hot Valley

被引:4
|
作者
Jia, Liang [1 ]
Liang, Huili [1 ]
Fan, Min [1 ]
Wang, Zhe [1 ]
Guo, Shushu [1 ]
Chen, Shu [1 ]
机构
[1] Southwest Univ Sci & Technol, Sch Environm & Resource, Mianyang 621010, Sichuan, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 19期
基金
国家重点研发计划;
关键词
dry-hot valley; heavy metals; soil; spatial distribution; source analysis; SOURCE APPORTIONMENT; SOURCE IDENTIFICATION; SEWAGE IRRIGATION; RISK-ASSESSMENT; SURFACE SOILS; POLLUTION; CHINA; MODELS;
D O I
10.3390/app12199475
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In this study, the contents and associated soil properties of 6 metal elements (Pb, As, Cu, Zn, Ni, Cr) were measured in 63 topsoil samples in the affected areas of a typical non-ferrous metal slag field in Huili City, Sichuan Province, China. The associated soil properties of the 6 metals include Ammonium Nitrogen (NH4+-N), Nitrate (NO3--N), Available Phosphorus (AP), Available Potassium (AK), Electrical Conductivity (EC), Cation Exchange Capacity (CEC), Soil Water Content (SWC), and pH. Multivariate statistics-spatial analysis-soil pollution comprehensive evaluation method was used to quantify the environmental pollution degree of heavy metals in the topsoil and divided (zone) the slag field based on the degree of pollution. Pearson correlation analysis and positive matrix factorization (PMF) were used to identify and quantitatively analyze pollution sources and their contributions. The results show that the average contents of Pb, As, Cu, Zn, Ni, and Cr were 13.27, 19.87, 6.91, 50.55, 25.06, and 77.71 mg.kg(-1), respectively. Nemerow comprehensive evaluation results showed that the sites with Slight Pollution and Mild Pollution accounted for 26.98% and 3.17% of the total sampling sites, respectively. Approximately 70% of the sampling sites in the study area had no heavy metal pollution in the soil. Sites with No Pollution or Slight Pollution were mainly distributed in the forest areas with vegetation coverage, while sites with Moderate Pollution or Heavy Pollution were mainly distributed in crop planting areas and areas near slag fields. PMF model revealed four pollution sources: natural sources, mixed industrial and transportation sources, agricultural sources, and industrial river water. These results will provide theoretical references for the utilization and treatment of heavy metal-contaminated soil around the slag field in the dry-hot valley.
引用
收藏
页数:14
相关论文
共 5 条
  • [1] Spatial distribution and source apportionment of soil heavy metals in the areas affected by non-ferrous metal slag field in southwest China
    Jia, Liang
    Liang, Huili
    Fan, Min
    Guo, Shushu
    Yue, Tingting
    Wang, Maosheng
    Su, Mingyue
    Chen, Shu
    Wang, Zhe
    Fu, Kaibin
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2024, 12
  • [2] Spatial distribution and environmental factors of catchment-scale soil heavy metal contamination in the dry-hot valley of Upper Red River in southwestern China
    Duan, Xingwu
    Zhang, Guangli
    Rong, Li
    Fang, Haiyan
    He, Darning
    Feng, Detai
    CATENA, 2015, 135 : 59 - 69
  • [3] Source-sink response analysis of heavy metals and soil pollution assessment in non-ferrous metal industrial agglomeration areas based on decision unit
    He, Yujie
    Wang, Wenjie
    Chen, Yunwei
    Hua, Jie
    Deng, Chenning
    Li, Haisheng
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 906
  • [4] Pollution Profiles, Source Identification and Health Risk Assessment of Heavy Metals in Soil near a Non-Ferrous Metal Smelting Plant
    Qi, Mengdie
    Wu, Yingjun
    Zhang, Shu
    Li, Guiying
    An, Taicheng
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2023, 20 (02)
  • [5] Analysis of driving factors of spatial distribution of heavy metals in soil of non-ferrous metal smelting sites: Screening the geodetector calculation results combined with correlation analysis
    Ma, Yan
    Li, Yang
    Fang, Tingting
    He, Yinhai
    Wang, Juan
    Liu, Xiaoyang
    Wang, Zhiyu
    Guo, Guanlin
    JOURNAL OF HAZARDOUS MATERIALS, 2023, 445