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Hydrochemistry and coal mining activity induced karst water quality degradation in the Niangziguan karst water system, China
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  • 作者:Xiaobo Zhang ; Xue Li ; Xubo Gao
  • 关键词:Hydrochemistry ; Coal mining activity ; Karst water quality ; Degradation ; Niangziguan karst spring catchment ; China
  • 刊名:Environmental Science and Pollution Research
  • 出版年:2016
  • 出版时间:April 2016
  • 年:2016
  • 卷:23
  • 期:7
  • 页码:6286-6299
  • 全文大小:826 KB
  • 参考文献:Bakalowicz M (2005) Karst groundwater: a challenge for new resources. Hydrogeol J 13:148–160CrossRef
    Belkhiri L et al (2010) Application of multivariate statistical methods and inverse geochemical modeling for characterization of groundwater—a case study: Ain Azel plain (Algeria). Geoderma 159:390–398CrossRef
    Cloutier V et al (2008) Multivariate statistical analysis of geochemical data as indicative of the hydrogeochemical evolution of groundwater in a sedimentary rock aquifer system. J Hydrol 353:294–313CrossRef
    Dassi L (2011) Investigation by multivariate analysis of groundwater composition in a multilayer aquifer system from North Africa: a multi-tracer approach. Appl Geochem 26:1386–1398CrossRef
    Davis JC (1986) Statistics and data analysis in geology, 2nd edn. Wiley, New York, p 646
    Duan GW, Liang YP (2006) Study on sulfate pollution in Yangquan City using 34S isotope. West-China Explor Eng 1:35–38
    Farnham IM et al (2003) Factor analytical approaches for evaluating groundwater trace element chemistry data. Anal Chim Acta 490:123–138CrossRef
    Galazoulas EC, Petalas CP (2014) Application of multivariate statistical procedures on major ions and trace elements in a multilayered coastal aquifer: the case of the south Rhodope coastal aquifer. Environ Earth Sci 72:4191–4205CrossRef
    Gao XB et al (2011) Anthropogenic effects on hydrochemistry of Niangziguan karst water. Proc Inst Civ Eng Water Manage 164(10):495–510CrossRef
    Güler C, Thyne GD (2004) Hydrologic and geologic factors controlling surface and groundwater chemistry in Indian Wells-Owens Valley area, southeastern California, USA. J Hydrol 285:177–198CrossRef
    Hao YH et al (2012) Investigation of karstic hydrological processes of Niangziguan Springs (North China) using wavelet analysis. Hydrol Process 26:3062–3069CrossRef
    Heaton TH (1986) Nitrate pollution of groundwater. S Afr J Sci 82:279–287
    Jiang Y et al (2009) Natural and anthropogenic factors affecting the groundwater quality in the Nandong karst underground river system in Yunan, China. J Contam Hydrol 109:49–61CrossRef
    Kim JH et al (2005) Multivariate statistical analysis to identify the major factors governing groundwater quality in the coastal area of Kimje, South Korea. Hydrol Process 19:1261–1276CrossRef
    Lambrakis N et al (2004) The use of multicomponent statistical analysis in hydrogeological environmental research. Water Res 38:1862–1872CrossRef
    Lang Y et al (2006) Geochemistry of surface and ground water in Guiyang, China: water/rock interaction and pollution in a karst hydrological system. Appl Geochem 21:887–903CrossRef
    Li YL et al (1998) Pollution analysis of SO4 2−, Ca2+, Mg2+ in karst water in Niangiguan spring area. Geol Sci Technol Inf 17(2):111–114
    Li X et al (2010) The use of environmental isotopic (C, Sr, S) and hydrochemical tracers to characterize anthropogenic effects on karst groundwater quality: a case study of the Shuicheng Basin, SW China. Appl Geochem 25:1924–1936CrossRef
    López-Chicano M et al (2001) Factors which determine the hydrogeochemical behaviour of karstic springs. A case study from the Betic Cordilleras, Spain. Appl Geochem 16:1179–1192CrossRef
    Lu HY et al (2008) Identification of the origin of salinization in groundwater using multivariate statistical analysis and geochemical modeling: a case study of Kaohsiung, Southwest Taiwan. Environ Geol 55:339–352CrossRef
    Masoud AA (2014) Groundwater quality assessment of the shallow aquifers west of the Nile Delta (Egypt) using multivariate statistical and geostatistical techniques. J Afr Earth Sci 95:123–137CrossRef
    Mokrik R et al (2009) The origin of barium in the Cambrian-Vendian aquifer system, North Estonia. Est J Earth Sci 58:193–208CrossRef
    Qiao XJ et al (2011) Influence of coal mining on regional karst groundwater system: a case study in West Mountain area of Taiyuan City, Northern China. Environ Earth Sci 64:1525–1535CrossRef
    Shahbaz M et al (2015) Do coal consumption and industrial development increase environmental degradation in China and India? Environ Sci Pollut Res 22(5):3895–3907CrossRef
    Singh E et al (2013) Groundwater quality in Imphal West district, Manipur, India, with multivariate statistical analysis of data. Environ Sci Pollut Res 20:2421–2434CrossRef
    Suk H et al (1999) Characterization of a ground water hydrochemical system through multivariate analysis: clustering into ground water zones. Ground Water 37:358–366CrossRef
    Wang YX, Gao XB (2009) Geochemical evolution of the Niangziguan karst water system under the impact of human activities. Corsologica Sin 28:10–19
    Wang Y et al (2001) Geostatistical and geochemical analysis of surface water leakage into groundwater on a regional scale: a case study in the Liulin karst system, northwestern China. J Hydrol 246:223–234CrossRef
    Yidana SM et al (2008) A multivariate statistical analysis of surface water chemistry data—the Ankobra Basin, Ghana. J Environ Manag 86:80–87CrossRef
    Yu P (1994) Surface collapse in the karst mining areas in China. Mine Water Environ 13(2):21–26CrossRef
    Zhang DJ (2004) Carbonate water contamination and genetic analysis of Niangziguan spring area. Saf Environ Eng 11:57–59
    Zhou XH et al (2010) Application of factor analysis in the assessment of groundwater quality. Water Res Low Carbon Energy 1251:33–36, 2nd international symposium on aqua science
  • 作者单位:Xiaobo Zhang (1)
    Xue Li (1)
    Xubo Gao (1) (2)

    1. School of Environmental Studies and State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, No. 388, Lumo Road, 430074, Wuhan, Hubei, People’s Republic of China
    2. University of Texas at Austin, Austin, TX, 78705, USA
  • 刊物类别:Earth and Environmental Science
  • 刊物主题:Environment
    Environment
    Atmospheric Protection, Air Quality Control and Air Pollution
    Waste Water Technology, Water Pollution Control, Water Management and Aquatic Pollution
    Industrial Pollution Prevention
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1614-7499
文摘
Hydrogeochemical analysis, statistical analysis, and geochemical modeling were employed to evaluate the impacts of coal mining activities on karst water chemistry in Niangziguan spring catchment, one of the largest karst springs in Northern China. Significant water quality deterioration was observed along the flow path, evidenced from the increasing sulfate, nitrate, and TDS content in karst water. Karst water samples are Ca-Mg-HCO3 type in the recharge areas, Ca-Mg-HCO3-SO4 type in the coal mining areas, and Ca-Mg-SO4-HCO3/HCO3-SO4 type in the rural areas and discharge areas. A four-factor principal component analysis (PCA) model is conducted which explains over 82.9 % of the total variation. Factor 1, which explained the largest portion (45.33 %) of the total variance, reveals that coal mining activities and natural water-rock interaction as the primary factors controlling karst water quality. Anthropogenic effects were recognized as the secondary factor with high positive loadings for NO3 − and Cl− in the model. The other two factors are co-precipitation removal of trace elements and silicate mineral dissolution, which explained 20.96 % of the total variance. A two-end mixing modeling was proposed to estimate the percentage of coal wastewater giving on karst water chemistry, based on the groundwater sulfate chemistry constrains rather than sulfur isotopes. Uncertainty of sulfur isotope sources led to an overestimation of coal mining water contribution. According to the results of the modeling, the contribution of coal mining waste on karst water chemistry was quantified to be from 27.05 to 1.11 % which is ca. three times lower than the values suggested using a sulfur isotope method.

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