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采用多元统计方法对孟加拉国制革和纺织工业废水的化学和物理化学特性进行分析。

Chemical and physicochemical characterization of effluents from the tanning and textile industries in Bangladesh with multivariate statistical approach.

机构信息

Institute of National Analytical Research and Service (INARS), Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, 1205, Bangladesh.

Department of Chemistry, Jagannath University, Dhaka, 1100, Bangladesh.

出版信息

Environ Monit Assess. 2019 Aug 17;191(9):575. doi: 10.1007/s10661-019-7654-2.

Abstract

Industrial effluents are one of the foremost concerns relating to the anthropogenic environmental pollution. The effluents from the tanning and textile industries in Dhaka, Bangladesh, were characterized chemically and physicochemically with multivariate statistical techniques. The concentrations of heavy metals viz., Pb, Cd, Cr, Mn, Fe, Ni, Cu, and Zn were determined by atomic absorption spectrometer while concentrations of anions viz., F, Cl, NO, NO, and SO were measured by ion chromatograph. The physicochemical parameters viz., temperature, pH, electrical conductivity (EC), salinity, turbidity, dissolved oxygen (DO), and biological oxygen demand (BOD) were measured by a multiparameter meter while total suspended solids (TSS) and total dissolved solids (TDS) were measured gravimetrically. This study showed that effluents from both industries demonstrated high levels of TSS, TDS, EC, and heavy metals. Tannery effluents have lower pH and DO, and higher BOD, Cl, SO, and Cr concentrations while textile dyeing effluents have higher pH, NO, and NO concentrations, compared to the standard limits promulgated by the Bangladesh government. Multivariate statistical techniques such as cluster analysis and principal component analysis along with the correlation matrices showed significant association among the measured parameters and identified pollution sources as well as effluent types in the study area which could be linked to the processes used in textile dying and tanning industries. This study will be useful for identifying pollutants emanating from the two industries and will guide future industrial aquatic studies where multiple industrial runoffs are concerned.

摘要

工业废水是与人为环境污染有关的首要问题之一。本文采用多元统计技术对孟加拉国达卡的制革和纺织工业废水进行了化学和物理化学特性分析。重金属(如 Pb、Cd、Cr、Mn、Fe、Ni、Cu 和 Zn)的浓度采用原子吸收光谱仪测定,阴离子(如 F、Cl、NO、NO 和 SO)的浓度采用离子色谱仪测定。采用多参数水质仪测定了温度、pH 值、电导率 (EC)、盐度、浊度、溶解氧 (DO) 和生化需氧量 (BOD) 等理化参数,同时采用重量法测定了总悬浮固体 (TSS) 和总溶解固体 (TDS)。研究表明,这两个行业的废水均表现出 TSS、TDS、EC 和重金属含量高的特点。与孟加拉国政府颁布的标准限值相比,制革废水的 pH 值和 DO 较低,BOD、Cl、SO 和 Cr 浓度较高,而纺织染料废水的 pH 值、NO 和 NO 浓度较高。聚类分析和主成分分析等多元统计技术以及相关矩阵表明,所测参数之间存在显著关联,并确定了研究区域的污染来源和废水类型,这些都与纺织染整和制革行业的工艺有关。本研究有助于识别这两个行业排放的污染物,并为未来涉及多种工业废水排放的工业水研究提供指导。

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