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首页> 外文期刊>Journal of Earth System Science >Deciphering heavy metal contamination zones in soils of a granitic terrain of southern India using factor analysis and GIS
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Deciphering heavy metal contamination zones in soils of a granitic terrain of southern India using factor analysis and GIS

机译:使用因子分析和GIS解析印度南部花岗岩地形土壤中的重金属污染区

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摘要

Soil contamination by heavy metals has been a major concern for last few decades due to increase in urbanization and industrialization. The main objective of this research was to identify the heavy metal contaminated zones in the study area. Twenty five soil samples collected throughout the agriculture, residential and industrial areas were analysed by X-ray Fluorescence Spectrometer (XRF) for trace metals and major oxides. These metals can affect the quality of soil and infiltrate through the soil, thereby causing groundwater pollution. Based on the chemical analysis of major oxides (SiO2, Al2O3, Fe2O3, MnO, MgO, CaO, Na2O, K2O, TiO2, and P2O5) and their distribution; it is observed that these soils are predominantly siliceous type with slight enrichment of alumina component in the study area. Correlation matrix (CM) and factor analysis (FA) is employed to the heavy metal variables, viz., Ba, Cr, Cu, Ni, Pb, Rb, Sr, V, Y, Zn and Zr of the soil to determine the dominant factors contributing to the soil contamination in the area. In the analysis, five factors emerged as significant contributors to the soil quality. The total contribution of these five factors is about 90%. The contribution of the first factor is about 45% and has significant positive loadings of Co, Cr, Cu, Ni and Zn. The contribution of second factor is 22% and has significant positive loadings of Rb, Sr and Y. The contribution of third, fourth and fifth factors is 10, 8 and 5% and show positive loadings for lead, molybdenum and barium respectively to the soil contamination. The spatial variation maps deciphering different zones of heavy metal concentration in the soil were generated in a GIS (geographic information system) based environment using ArcGIS 9.3.1. The results reveal that heavy metal contamination in the area is mainly due to anthropogenic activities.
机译:由于城市化和工业化的发展,近几十年来,重金属对土壤的污染一直是一个主要问题。这项研究的主要目的是确定研究区域内的重金属污染区。通过X射线荧光光谱仪(XRF)分析了整个农业,住宅区和工业区收集的25个土壤样品中的痕量金属和主要氧化物。这些金属会影响土壤质量并渗透到土壤中,从而造成地下水污染。根据主要氧化物(SiO2, Al2 O3, Fe2 O3, MnO,MgO,CaO,Na2 O的化学分析, K2 O,TiO2 和P2 O5 )及其分布;观察到这些土壤主要为硅质类型,研究区域中的氧化铝成分略有富集。对土壤中的重金属变量,即Ba,Cr,Cu,Ni,Pb,Rb,Sr,V,Y,Zn和Zr采用相关矩阵(CM)和因子分析(FA)来确定主要元素造成该地区土壤污染的因素。在分析中,五个因素成为土壤质量的重要因素。这五个因素的总贡献约为90%。第一个因素的贡献约为45%,并且具有显着的正负载Co,Cr,Cu,Ni和Zn。第二个因素的贡献为22%,并且具有显着的Rb,Sr和Y正负荷。第三,第四和第五个因素的贡献为10、8和5%,分别显示铅,钼和钡对土壤的正负荷。污染。使用ArcGIS 9.3.1在基于GIS(地理信息系统)的环境中生成了用于解释土壤中不同重金属浓度区域的空间变化图。结果表明,该地区的重金属污染主要是由于人为活动造成的。

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