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Deciphering heavy metal contamination zones in soils of a granitic terrain of southern India using factor analysis and GIS 总被引：1，自引：0，他引：1
D PURUSHOTHAM MAHJOOR AHMAD LONE MEHNAZ RASHID A NARSING RAO SHAKEEL AHMED 《Journal of Earth System Science》2012,121(4):1059-1070
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. 相似文献
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ASHRAF Sobia ABBAS Farhat IBRAHIM Muhammad RASHID Umer KHALID Shoaib Raza AHMAD Hammad Rehman HAKEEM Khalid MAJEED Tahir 《地理学报(英文版)》2015,25(2):225-235
Groundwater is the most appropriate and widely used source of drinking water, which is increasingly threatened by pollution from industrial and agricultural activities. To check the severity of the problem, 156 groundwater samples were collected from various depths (60-110 ft) of 52 different localities in Faisalabad city, the third largest metropolis in Pakistan, and analyzed for the metals (Zn, Cu, Cd, Ni, Pb, Mn and Fe) concentration in 2009. Quantification was done by using Flame Atomic Absorption Spectrophotometer technique and the results were compared with WHO standards for drinking water quality. Results showed that the levels of Cu, Mn and Fe were below the WHO standards while the concentrations of Zn, Cd, Ni and Pb were above the recommended levels of safe drinking water. Correlation analysis among the occurrence of these heavy metals revealed a highly significant and positive correlation of Mn with Zn and Fe. A significant and positive correlation of Cd was also found with Cu and groundwater depth showing that there is strong association between Cu-Cd pair and that the Cd concentration varies with depth of groundwater in the study area. Regional patterns of heavy metals occurrence were mapped using Geographical Information System (GIS) for the identification and demarcation of risk areas. The concentration maps may be used by policymakers of the city to mitigate groundwater pollution. 相似文献
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大量研究表明,长链烯酮不饱和度(UK37?指数)可用于重建过去的海面温度(sea surface tempera-ture,SST),然而是否存在其他因素导致实际温度与重建的SST之间存在差异,以及重建的温度是代表年均SST还是季节性温度都仍有争议.除了反映温度,在受季节性海冰影响或SST较低的区域,长链烯酮C37:4... 相似文献
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Sobia Ashraf Farhat Abbas Muhammad Ibrahim Umer Rashid Shoaib Khalid Hammad Raza Ahmad Khalid Rehman Hakeem Tahir Majeed 《地理学报(英文版)》2015,(2):225-235
Groundwater is the most appropriate and widely used source of drinking water,which is increasingly threatened by pollution from industrial and agricultural activities.To check the severity of the problem,156 groundwater samples were collected from various depths(60-110 ft) of 52 different localities in Faisalabad city,the third largest metropolis in Pakistan,and analyzed for the metals(Zn,Cu,Cd,Ni,Pb,Mn and Fe) concentration in 2009.Quantification was done by using Flame Atomic Absorption Spectrophotometer technique and the results were compared with WHO standards for drinking water quality.Results showed that the levels of Cu,Mn and Fe were below the WHO standards while the concentrations of Zn,Cd,Ni and Pb were above the recommended levels of safe drinking water.Correlation analysis among the occurrence of these heavy metals revealed a highly significant and positive correlation of Mn with Zn and Fe.A significant and positive correlation of Cd was also found with Cu and groundwater depth showing that there is strong association between Cu-Cd pair and that the Cd concentration varies with depth of groundwater in the study area.Regional patterns of heavy metals occurrence were mapped using Geographical Information System(GIS) for the identification and demarcation of risk areas.The concentration maps may be used by policymakers of the city to mitigate groundwater pollution. 相似文献
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Geospatial tools for assessing land degradation in Budgam district,Kashmir Himalaya,India 总被引：1，自引：0，他引：1
MEHNAZ RASHID MAHJOOR AHMAD LONE SHAKIL AHMAD ROMSHOO 《Journal of Earth System Science》2011,120(3):423-433
Land degradation reduces the ability of the land to perform many biophysical and chemical functions. The main aim of this
study was to determine the status of land degradation in the Budgam area of Kashmir Himalaya using remote sensing and geographic
information system. The satellite data together with other geospatial datasets were used to quantify different categories
of land degradation. The results were validated in the field and an accuracy of 85% was observed. Land use/land cover of the
study area was determined in order to know the effect of land use on the rate of land degradation. Normalized differential
vegetation index (NDVI) and slope of the area were determined using LANDSAT-enhanced thematic mapper plus (ETM+) data, advanced
space borne thermal emission and reflection radiometer, and digital elevation model along with other secondary data were analysed
to create various thematic maps, viz., land use/land cover, geology, NDVI and slopes used in modelling land degradation in
the Kashmir Himalayan region. The vegetation condition, elevation and land use/land cover information of the area were integrated
to assess the land degradation scenario in the area using the ArcGIS ‘Spatial Analyst Module’. The results reveal that about
13.19% of the study area has undergone moderate to high degradation, whereas about 44.12% of the area has undergone slight
degradation. 相似文献
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