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Publications (5)9.38 Total impact

  • Article: Water quality assessment of Wei River, China using fuzzy synthetic evaluation
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    ABSTRACT: Wei River is the major source of water for the urban residents, industrial production and agricultural activities in the central Shaanxi plain of China. Water quality of the Wei River was determined by collecting water samples from 25 locations along the Baoji Xi’an reach and analyzing for pH, EC, BOD5, DO, COD, F, Se, As, and Hg. Fuzzy synthetic evaluation with the entropy method for weight determination was used to assess the water quality of the river. Results indicate that the water quality of 23 sampling sites fall into the fifth grade (bad level), whereas two sampling sites are in the fourth grade (poor level). The comparison of this method with the typical fuzzy synthetic evaluation shows that it is effective in water quality assessment. The assessment results indicate that the Wei River is heavily polluted at most of the sampling locations, with mercury as the major pollutant. Strict enforcement of the regulations for domestic and industrial wastewater discharges is vital to avoid damage to the water environment and to protect human and ecological health. KeywordsWater quality-Membership function-Fuzzy synthetic evaluation-Wei River
    Environmental earth sciences 04/2012; 60(8):1693-1699. · 1.06 Impact Factor
  • Article: [Content, source and speciation of heavy metal elements of street dusts in Baoji City].
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    ABSTRACT: Heavy metal concentrations in street dust of Baoji City were investigated by using X-Ray fluorescence spectrometry (XRF) and atomic adsorption spectrometry (AAS). The results show that the mean concentrations of Cu, Pb, Zn, Mn, Co, Ni, Cr and Cd are 123.2, 408.4, 715.1, 804.2, 15.9, 48.8, 126.7 and 5.5 microg x g(-1), respectively, which are higher than those of the element background values of International, Chinese, and Shaanxi Soil, especially for Cu, Pb, Zn and Cd. The source of heavy metal elements in street dust of Baoji City was identifed by multivariate statistics analysis (correlation analysis, principal component analysis and cluster analysis), and the results show that Ni and Cr mainly originate from natural source (local soil); Cu, Pb, Mn and Co have mixed sources of human activities (industry and traffic) and nature (local soil); Zn and Cd represent traffic and industry sources. At the same time, the speciation characteristics of heavy metals in street dust of Baoji City were investigated by using the modified BCR sequential extraction procedure and ICP-MS. The results show that Mn, Co, Ni and Cr are dominated by residue (over 48.52%), Zn and Cd mainly exist in acetic acid extractable part (44.43% and 44.08%), Cu is rich in oxidizable (48.22%) and residual (37.65%) parts, Pb is mainly in reducible part (45.42%). The order of mobility of heavy metal elements is Cd (90.11%) > Pb (82.33%) > Zn (79.32%) > Cu (62.35%) > Mn (51.48%) > Co (29.02%) > Ni (23.62%) > Cr (18.68%), in which of them, Cd, Pb, Zn, Cu and Mn have stronger transformation (over 50%) and higher potential harm.
    Huan jing ke xue= Huanjing kexue / [bian ji, Zhongguo ke xue yuan huan jing ke xue wei yuan hui "Huan jing ke xue" bian ji wei yuan hui.] 08/2011; 32(8):2470-6.
  • Article: Multivariate statistical analysis of heavy metals in street dust of Baoji, NW China.
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    ABSTRACT: The concentrations of Pb, Cu, Zn, Mn, Ni, Co and Cr in street dust samples from Baoji in north-west China were measured by wavelength dispersive X-ray fluorescence spectrometry, while As and Hg in street dust samples were determined by atomic fluorescence spectrometry. Principal component analysis and cluster analysis, coupled with correlation coefficient analysis, were used to analyze the data and to identify possible sources of these heavy metals. The results indicate that street dust in Baoji has elevated heavy metal concentrations, especially Hg, Pb, Zn and Cu, which are 16-77, 7-92, 6-26 and 4-12 times the background levels in Shaanxi soil, respectively. The mean heavy metal concentrations in street dust divided by the corresponding background values of Shaanxi soil decrease in the order of Hg>Pb>Zn>Cu>Cr>As>Ni>Co>Mn>V. Three main sources of these heavy metals were identified. As, V, Pb and Co originated from nature and traffic. Cu, Zn, Hg and Mn, especially the former two, mainly derive from industry sources, as well as traffic. Cr and Ni mainly originate from soil.
    Journal of hazardous materials 09/2009; 173(1-3):744-9. · 4.14 Impact Factor
  • Article: Contamination assessment of copper, lead, zinc, manganese and nickel in street dust of Baoji, NW China.
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    ABSTRACT: Street dusts collected from Baoji, NW China were analyzed for Cu, Pb, Zn, Mn and Ni by using PANalytical PW-2403 wavelength dispersive X-ray fluorescence spectrometry and assessed the contamination level of heavy metals on the basis of geoaccumulation index (I(geo)), enrichment factor (EF), pollution index (PI) and integrated pollution index (IPI). The results indicate that, in comparison with Chinese soil, street dusts in Baoji have elevated metal concentrations as a whole. The concentrations of heavy metals investigated in this paper are compared with the reported data of other cities. The calculated results of I(geo) and EF of heavy metals reveal the order of I(geo) and EF are Pb>Zn>Cu>Ni>Mn. The high I(geo) and EF for Pb, Zn and Cu in street dusts indicate that there is a considerable Pb, Zn and Cu pollution, which mainly originate from traffic and industry activities. The I(geo) and EF of Mn and Ni are low and the assessment results indicate an absence of distinct Mn and Ni pollution in street dusts. The assessment results of PI also support Pb, Zn and Cu in street dusts presented serious pollution, and IPI indicates heavy metals of street dust polluted seriously.
    Journal of Hazardous Materials 04/2008; 161(2-3):1058-62. · 4.17 Impact Factor
  • Article: Contamination assessment of mercury and arsenic in roadway dust from Baoji, China
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    ABSTRACT: The physicochemical properties and the contamination levels of mercury and arsenic in roadway dust from Baoji, NW China were investigated using an Atomic Fluorescence Spectrophotometer. Contamination levels were assessed based on the geoaccumulation index and the enrichment factor. The results show that magnetic susceptibilities of roadway dust were higher than Holocene loess–soil of central Shaanxi Loess Plateau. The mean contents of organic matter, PM10 and PM100 were 8.8%, 21.8% and 98.6%, respectively. Mercury concentration ranged from 0.48 to 2.32 μg g−1, with a mean value of 1.11 μg g−1, 17.1 times the Chinese soil mercury background value and 37 times the Shaanxi soil mercury background value. Arsenic concentration ranged from 9.0 to 42.8 μg g−1, with a mean value of 19.8 μg g−1, 1.8 times the Chinese and Shaanxi soil arsenic background values. The geoaccumlation index and enrichment factor indicate that mercury in the dust mainly originated from anthropogenic sources with ratings of “strongly polluted” and “strongly to extremely polluted”, whereas arsenic in dust originated from both natural and anthropogenic sources, with a ratings of “moderately to strongly polluted” and “strongly polluted”. Industrial activities, such as a coal-fired power station, coke-oven plant, and cement manufacturing plant, augmented by vehicular traffic, are the anthropogenic sources of mercury and arsenic in the roadway dust.
    Atmospheric Environment.