Contamination Evaluation and Source Analysis of Heavy Metals in Karst Soil Using UNMIX Model and Pb-Cd Isotopes

被引:11
|
作者
Yu, Enjiang [1 ]
Liu, Hongyan [2 ,3 ]
Dinis, Faustino [2 ]
Zhang, Qiuye [1 ]
Jing, Peng [1 ]
Liu, Fang [2 ]
Ju, Xianhang [2 ]
机构
[1] Guizhou Univ, Coll Resources & Environm Engn, Guiyang 550025, Peoples R China
[2] Guizhou Univ, Coll Agr, Guiyang 550025, Peoples R China
[3] Guizhou Univ, Key Lab Karst Georesources & Environm, Minist Educ, Guiyang 550025, Peoples R China
基金
中国国家自然科学基金;
关键词
heavy metals; enrichment; source apportionment; isotopes; karst areas; SOURCE APPORTIONMENT; SOURCE IDENTIFICATION; TRACE-ELEMENTS; CADMIUM; LEAD; SEDIMENTS; GEOCHEMISTRY; PEDOGENESIS; POLLUTION; LIMESTONE;
D O I
10.3390/ijerph191912478
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Karst terrain is the typical area covered with a high background of heavy metals under geochemical anomaly. This research explored the accumulation of geochemical elements and soil sources in karst terrain from rock and soil exposed in carbonate areas. The comprehensive ecological risk and enrichment of heavy metals from parent rock weathered to soil was investigated in 11 formations in the carbonate and clastic areas of the Weining and Hezhang counties in northwest Guizhou. The single factor pollution index, geoaccumulation index, and the potential risk coefficient were used to assess the environmental risk. The results revealed that the heavy metals in an overall geologically high background level of soil in northwest Guizhou is at a slight risk level. However, except for Cd, the heavy metals did not exceed the standard pollution reference. Moreover, the UNMIX model and Cd and Pb isotopes were used to analyze the source of heavy metals, comprising of cadmium (Cd), arsenic (As), lead (Pb), chromium (Cr), copper (Cu), nickel (Ni), and zinc (Zn), and the geochemical elements of silicon (Si), aluminum (Al), iron (Fe), magnesium (Mg), and calcium (Ca). The study showed that most elements in the soil carbonate area exceed the national standard, and the heavy metals in the soil showed a strong enrichment, while the major elements Si and Mg display strong loss. Heavy metal concentrations in soil in the carbonate area were higher than in the clastic area. Geological sources and atmospheric deposition were the main contributors to heavy metal concentrations in both carbonate and clastic areas, and their concentrations differ according to soils developing in different formations.
引用
收藏
页数:23
相关论文
共 50 条
  • [41] Analysis of the Source Apportionment and Pathways of Heavy Metals in Soil in a Coal Mining Area Based on Machine Learning and an APCS-MLR Model
    Chen, Yeyu
    Zhao, Jiyang
    Chen, Xing
    Zheng, Liugen
    [J]. MINERALS, 2024, 14 (01)
  • [42] Integrated evaluation of aerogenic pollution by air-transported heavy metals (Pb, Cd, Ni, Zn, Mn and Cu) in the analysis of the main deposit media
    Edita Baltrėnaitė
    Pranas Baltrėnas
    Arvydas Lietuvninkas
    Vaida Šerevičienė
    Eglė Zuokaitė
    [J]. Environmental Science and Pollution Research, 2014, 21 : 299 - 313
  • [43] Integrated evaluation of aerogenic pollution by air-transported heavy metals (Pb, Cd, Ni, Zn, Mn and Cu) in the analysis of the main deposit media
    Baltrenaite, Edita
    Baltrenas, Pranas
    Lietuvninkas, Arvydas
    Sereviciene, Vaida
    Zuokaite, Egle
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2014, 21 (01) : 299 - 313
  • [44] Source Identification Using Principal Component Analysis and Health Risk Assessment of Heavy Metals Contamination in PM2.5 Near an Industrial Area in Thailand
    Simatupang, Cathleen Ariella
    Santhaweesuk, Kanitthika
    Pongkiatkul, Prapat
    Strezov, Vladimir
    Boontanon, Narin
    Jindal, Ranjna
    Boontanon, Suwanna Kitpati
    [J]. EXPOSURE AND HEALTH, 2024,
  • [45] Source Analysis of Soil Heavy Metals in Agricultural Land Around the Mining Area Based on APCS-MLR Receptor Model and Geostatistical Method
    Zhang C.-H.
    Wang Z.-S.
    Liu L.
    Liu Y.
    [J]. Huanjing Kexue/Environmental Science, 2023, 44 (06): : 3500 - 3508
  • [46] Feasibility of using humic substances from compost to remove heavy metals (Cd, Cu, Ni, Pb, Zn) from contaminated soil aged for different periods of time
    Kulikowska, Dorota
    Gusiatin, Zygmunt Mariusz
    Bulkowska, Katarzyna
    Klik, Barbara
    [J]. JOURNAL OF HAZARDOUS MATERIALS, 2015, 300 : 882 - 891
  • [47] Simulated Bioavailability of Heavy Metals (Cd, Cr, Cu, Pb, Zn) in Contaminated Soil Amended with Natural Zeolite Using Diffusive Gradients in Thin-Films (DGT) Technique
    Senila, Marin
    Cadar, Oana
    Senila, Lacrimioara
    Angyus, Bogdan Simion
    [J]. AGRICULTURE-BASEL, 2022, 12 (03):
  • [48] A RECEPTOR MODEL APPROACH FOR SOURCE APPORTIONMENT OF HEAVY-METALS USING AUTOMATED ELECTRON-PROBE MICRO-ANALYSIS (EPM)
    VANBORM, W
    ADAMS, F
    [J]. ZENTRALBLATT FUR BAKTERIOLOGIE MIKROBIOLOGIE UND HYGIENE SERIE B-UMWELTHYGIENE KRANKENHAUSHYGIENE ARBEITSHYGIENE PRAVENTIVE MEDIZIN, 1988, 185 (4-5): : 470 - 471
  • [49] Trace Analysis of Heavy Metals (Cd, Pb, Hg) Using Native and Modified 3D Printed Graphene/Poly(Lactic Acid) Composite Electrodes
    Walters, John G.
    Ahmed, Shakir
    Terrero Rodriguez, Irina M.
    O'Neil, Glen D.
    [J]. ELECTROANALYSIS, 2020, 32 (04) : 859 - 866
  • [50] Spatio-Temporal Analysis of Heavy Metals in Arid Soils at the Catchment Scale Using Digital Soil Assessment and a Random Forest Model
    Taghizadeh-Mehrjardi, Ruhollah
    Fathizad, Hassan
    Ali Hakimzadeh Ardakani, Mohammad
    Sodaiezadeh, Hamid
    Kerry, Ruth
    Heung, Brandon
    Scholten, Thomas
    [J]. REMOTE SENSING, 2021, 13 (09)