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制革废水痕量金属水平与土壤和水关系的多变量分析:来自巴基斯坦白沙瓦的案例研究

Multivariate analysis of trace metal levels in tannery effluents in relation to soil and water: a case study from Peshawar, Pakistan.

作者信息

Tariq Saadia R, Shah Munir H, Shaheen N, Khalique A, Manzoor S, Jaffar M

机构信息

Department of Chemistry, Quaid-i-Azam University, Islamabad 45320, Pakistan.

出版信息

J Environ Manage. 2006 Apr;79(1):20-9. doi: 10.1016/j.jenvman.2005.05.009. Epub 2005 Sep 9.

Abstract

Tannery effluents and relevant ground water and soil samples collected from various tanning industries of Peshawar were analyzed for Na, Ca, K, Mg, Fe, Mn, Cr, Co, Cd, Ni, Pb and Zn by the AAS method. The metal concentration data for the three media are reported in terms of basic statistical parameters, metal-to-metal correlations and linear regression analyses. Metal distributions in the three media were quite divergent and showed non-normal distributions with high standard deviation and skewness parameters. Sodium exhibited the highest mean levels of 1,277mg/L, 881mg/L and 12,912mg/kg in the effluent, ground water and soil samples, respectively. Among other metals, Cr concentrations were 410mg/L, 0.145mg/L, 100mg/kg and Ca, 278mg/L, 64.8mg/L, and 2,285mg/kg in the effluent, ground water and soil samples, respectively. Some significant correlations were observed between effluent and soils in terms of Na, Cr, Ni, Co and Pb. The ground water-soil interrelationship suggested that Na levels in the soil and ground water were significantly correlated with each other (r=0.486, P<0.01). Similarly, Cr in the soil is strongly correlated with Ca in ground water (r=0.486, P<0.01). These results were duly supported by the linear regression analysis of data. The source identification studies conducted using Principal Component Analysis (PCA) and Cluster Analysis (CA) evidenced that ground water and soil were being contaminated by the toxic metals emanating from the tannery effluents.

摘要

采用原子吸收光谱法(AAS)对从白沙瓦各制革行业采集的制革废水以及相关的地下水和土壤样本进行了钠(Na)、钙(Ca)、钾(K)、镁(Mg)、铁(Fe)、锰(Mn)、铬(Cr)、钴(Co)、镉(Cd)、镍(Ni)、铅(Pb)和锌(Zn)的分析。报告了这三种介质中金属浓度数据的基本统计参数、金属与金属之间的相关性以及线性回归分析结果。三种介质中的金属分布差异很大,呈现出非正态分布,具有较高的标准差和偏度参数。钠在废水、地下水和土壤样本中的平均含量最高,分别为1277mg/L、881mg/L和12912mg/kg。在其他金属中,铬在废水、地下水和土壤样本中的浓度分别为410mg/L、0.145mg/L和100mg/kg,钙的浓度分别为278mg/L、64.8mg/L和2285mg/kg。在钠、铬、镍、钴和铅方面,观察到废水与土壤之间存在一些显著的相关性。地下水与土壤的相互关系表明,土壤和地下水中的钠含量彼此显著相关(r = 0.486,P < 0.01)。同样,土壤中的铬与地下水中的钙密切相关(r = 0.486,P < 0.01)。数据的线性回归分析充分支持了这些结果。使用主成分分析(PCA)和聚类分析(CA)进行的源识别研究表明,地下水和土壤正受到制革废水排放的有毒金属的污染。

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