Geographical distribution and risk assessment of heavy metals: a case study of mine tailings pond

References

• Hou D, O'Connor D, Nathanail P, et al. Integrated GIS and multivariate statistical analysis for regional scale assessment of heavy metal soil contamination: a critical review. Environ Pollut. 2017;231(Pt 1):1188–1200. doi: 10.1016/j.envpol.2017.07.021
   PubMed Web of Science ®Google Scholar
• Hou D, Li F. Complexities surrounding China's soil action plan. Land Degrad Dev. 2017;28(7):2315–2320. doi: 10.1002/ldr.2741
   Web of Science ®Google Scholar
• Liang Y, Yi X, Dang Z, et al. Heavy metal contamination and health risk assessment in the vicinity of a tailing pond in Guangdong, China. Int J Environ Res Public Health. 2017;14(12):1557.
   Web of Science ®Google Scholar
• Liu R, Liu J, Zhang Z, et al. Accidental water pollution risk analysis of mine tailings ponds in Guanting Reservoir Watershed, Zhangjiakou City, China. Int J Environ Res Public Health. 2015;12(12):15269–15284. doi: 10.3390/ijerph121214983
   PubMed Web of Science ®Google Scholar
• Zhang L, Liao Q, Shao S, et al. Heavy metal pollution, fractionation, and potential ecological risks in sediments from Lake Chaohu (Eastern China) and the surrounding rivers. Int J Environ Res Public Health. 2015;12(11):14115–14131. doi: 10.3390/ijerph121114115
   PubMed Web of Science ®Google Scholar
• Song J, Yang X, Zhang J, et al. Assessing the variability of heavy metal concentrations in liquid–solid two-phase and related environmental risks in the Weihe River of Shaanxi Province, China. Int J Environ Res Public Health. 2015;12(7):8243–8262. doi: 10.3390/ijerph120708243
   PubMed Web of Science ®Google Scholar
• Zhang M, Huang F, Wang G, et al. Geographic distribution of cadmium and its interaction with the microbial community in the Longjiang River: risk evaluation after a shocking pollution accident. Sci Rep. 2017;7(1):227. doi: 10.1038/s41598-017-00280-y
   PubMed Web of Science ®Google Scholar
• Amann RI, Ludwig W, Schleifer KH. Phylogenetic identification and in situ detection of individual microbial cells without cultivation. Microbiol Rev. 1995;59:143–169.
   PubMedGoogle Scholar
• Wen J, Zhang M, Liu X, et al. Geographical distribution, chemical speciation and risk assessment of heavy metals in Ting River: the influence of heap bioleaching plant on the nearby river. Fresen Environ Bull. 2018;27(5):2844–2852.
   Web of Science ®Google Scholar
• Zhang M, Liu X, Li Y, et al. Microbial community and metabolic pathway succession driven by changed nutrient inputs in tailings: effects of different nutrients on tailing remediation. Sci Rep. 2017;7(1):474. doi: 10.1038/s41598-017-00580-3
   PubMed Web of Science ®Google Scholar
• Muller G. Index of geoaccumulation in sediments of the Rhine River. Geojournal. 1969;2:108–118.
   Google Scholar
• Wei F, Chen J, Wu Y. Background element values in soils of China. Beijing: China Environmental Science Press; 1990.
   Google Scholar
• Wong KW, Yap CK, Nulit R, et al. Effects of anthropogenic activities on the heavy metal levels in the clams and sediments in a tropical river. Environ Sci Pollut Res Int. 2017;24(1):116–134. doi: 10.1007/s11356-016-7951-z
   PubMed Web of Science ®Google Scholar
• Xu L, Wang T, Wang J, et al. Occurrence, speciation and transportation of heavy metals in 9 coastal rivers from watershed of Laizhou Bay, China. Chemosphere. 2017;173:61–68. doi: 10.1016/j.chemosphere.2017.01.046
   PubMed Web of Science ®Google Scholar
• Sinclair L, Osman OA, Bertilsson S, et al. Microbial community composition and diversity via 16S rRNA gene amplicons: evaluating the illumina platform. PLoS One. 2015;10(2):e0116955. doi: 10.1371/journal.pone.0116955
   PubMed Web of Science ®Google Scholar
• Magoc T, Salzberg SL. FLASH: fast length adjustment of short reads to improve genome assemblies. Bioinformatics. 2011 Nov 1;27(21):2957–2963. doi: 10.1093/bioinformatics/btr507
   PubMed Web of Science ®Google Scholar
• Lawley B, Tannock GW. Analysis of 16S rRNA Gene Amplicon sequences using the QIIME software package. Methods Mol Biol. 2017;1537:153–163. doi: 10.1007/978-1-4939-6685-1_9
   PubMedGoogle Scholar
• Haas BJ, Gevers D, Earl AM, et al. Chimeric 16S rRNA sequence formation and detection in Sanger and 454-pyrosequenced PCR amplicons. Genome Res. 2011 Mar;21(3):494–504. doi: 10.1101/gr.112730.110
   PubMed Web of Science ®Google Scholar
• Li W, Fu L, Niu B, et al. Ultrafast clustering algorithms for metagenomic sequence analysis. Brief. Bioinformatics. 2012;13(6):656–668. doi: 10.1093/bib/bbs035
   PubMed Web of Science ®Google Scholar
• Caporaso JG, Kuczynski J, Stombaugh J, et al. QIIME allows analysis of high-throughput community sequencing data. Nat Methods. 2010;7(5):335–336. doi: 10.1038/nmeth.f.303
   PubMed Web of Science ®Google Scholar
• Li W, Godzik A. Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences. Bioinformatics. 2006;22(13):1658–1659. doi: 10.1093/bioinformatics/btl158
   PubMed Web of Science ®Google Scholar
• Wang Q, Garrity GM, Tiedje JM, et al. Naïve Bayesian classifier for rapid assignment of rrna sequences into the new bacterial taxonomy. Appl Environ Microb. 2007;73:5261–5267. doi: 10.1128/AEM.00062-07
   PubMed Web of Science ®Google Scholar
• Li J, Zheng Y, Yan J, et al. Effects of different regeneration scenarios and fertilizer treatments on soil microbial ecology in reclaimed opencast mining areas on the Loess Plateau, China. PLoS One. 2013;8(5):e63275. doi: 10.1371/journal.pone.0063275
   PubMed Web of Science ®Google Scholar
• Chen SY, Lin JG, Lee CY. Effects of ferric ion on bioleaching of heavy metals from contaminated sediment. Water Sci Technol. 2003;48(8):151–158. doi: 10.2166/wst.2003.0464
   Web of Science ®Google Scholar
• Nieva NE, Borgnino L, Garcia MG. Long term metal release and acid generation in abandoned mine wastes containing metal-sulphides. Environ Pollut. 2018;242(Pt A):264–276. doi: 10.1016/j.envpol.2018.06.067
   PubMed Web of Science ®Google Scholar
• Gabarron M, Faz A, Acosta JA. Use of multivariable and redundancy analysis to assess the behavior of metals and arsenic in urban soil and road dust affected by metallic mining as a base for risk assessment. J Environ Manage. 2018;206:192–201. doi: 10.1016/j.jenvman.2017.10.034
   PubMed Web of Science ®Google Scholar
• Barthen R, Karimzadeh L, Grundig M, et al. Glutamic acid leaching of synthetic covellite – a model system combining experimental data and geochemical modeling. Chemosphere. 2018;196:368–376. doi: 10.1016/j.chemosphere.2017.12.138
   PubMed Web of Science ®Google Scholar
• Gabarron M, Faz A, Martinez-Martinez S, et al. Change in metals and arsenic distribution in soil and their bioavailability beside old tailing ponds. J Environ Manage. 2018;212:292–300. doi: 10.1016/j.jenvman.2018.02.010
   PubMed Web of Science ®Google Scholar
• Fan M, Lin Y, Huo H, et al. Microbial communities in riparian soils of a settling pond for mine drainage treatment. Water Res. 2016;96:198–207. doi: 10.1016/j.watres.2016.03.061
   PubMed Web of Science ®Google Scholar
• Marti R, Becouze-Lareure C, Ribun S, et al. Bacteriome genetic structures of urban deposits are indicative of their origin and impacted by chemical pollutants. Sci Rep. 2017;7(1):13219. doi: 10.1038/s41598-017-13594-8
   PubMed Web of Science ®Google Scholar
• Saria L, Shimaoka T, Miyawaki K. Leaching of heavy metals in acid mine drainage. Waste management & research: the journal of the International Solid Wastes and Public Cleansing Association. ISWA. 2006;24(2):134–140.
   Google Scholar
• Jing R, Kjellerup BV. Biogeochemical cycling of metals impacting by microbial mobilization and immobilization. J Environ Sci. 2018;66:146–154. doi: 10.1016/j.jes.2017.04.035
   Web of Science ®Google Scholar
• Onireti OO, Lin C, Qin J. Combined effects of low-molecular-weight organic acids on mobilization of arsenic and lead from multi-contaminated soils. Chemosphere. 2017;170:161–168. doi: 10.1016/j.chemosphere.2016.12.024
   PubMed Web of Science ®Google Scholar
• Lov A, Sjostedt C, Larsbo M, et al. Solubility and transport of Cr(III) in a historically contaminated soil – evidence of a rapidly reacting dimeric Cr(III) organic matter complex. Chemosphere. 2017;189:709–716. doi: 10.1016/j.chemosphere.2017.09.088
   PubMed Web of Science ®Google Scholar
• Mihajlovic J, Stark HJ, Rinklebe J. Rare earth elements and their release dynamics under pre-definite redox conditions in a floodplain soil. Chemosphere. 2017;181:313–319. doi: 10.1016/j.chemosphere.2017.04.036
   PubMed Web of Science ®Google Scholar
• Shaheen SM, Rinklebe J. Sugar beet factory lime affects the mobilization of Cd, Co, Cr, Cu, Mo, Ni, Pb, and Zn under dynamic redox conditions in a contaminated floodplain soil. J Environ Manage. 2017;186(Pt 2):253–260. doi: 10.1016/j.jenvman.2016.07.060
   PubMed Web of Science ®Google Scholar
• Potysz A, Grybos M, Kierczak J, et al. Metal mobilization from metallurgical wastes by soil organic acids. Chemosphere. 2017;178:197–211. doi: 10.1016/j.chemosphere.2017.03.015
   PubMed Web of Science ®Google Scholar
• Yuan H, Ge T, Wu X, et al. Long-term field fertilization alters the diversity of autotrophic bacteria based on the ribulose-1,5-biphosphate carboxylase/oxygenase (RubisCO) large-subunit genes in paddy soil. Appl Microbiol Biotechnol. 2012;95(4):1061–1071. doi: 10.1007/s00253-011-3760-y
   PubMed Web of Science ®Google Scholar
• Niu ZS, Pan H, Guo XP, et al. Sulphate-reducing bacteria (SRB) in the Yangtze Estuary sediments: abundance, distribution and implications for the bioavailibility of metals. Sci Total Environ. 2018;634:296–304. doi: 10.1016/j.scitotenv.2018.03.345
   PubMed Web of Science ®Google Scholar
• Le Pape P, Battaglia-Brunet F, Parmentier M, et al. Complete removal of arsenic and zinc from a heavily contaminated acid mine drainage via an indigenous SRB consortium. J Hazard Mater. 2017;321:764–772. doi: 10.1016/j.jhazmat.2016.09.060
   PubMed Web of Science ®Google Scholar