准东地区不同区域土壤重金属关联性分析及空间分布
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摘要
本文以准东地区的五彩湾、荒漠带和将军庙区域为研究靶区,运用多元统计分析及空间分析法,对准东地区的五彩湾、荒漠带和将军庙区域之间的土壤重金属进行关联分析及空间分布。结果表明:Hg、As元素在这三个区域变幅较小,土壤重金属含量较为集中,相比之下Cu、Cr、Pb和Zn元素变幅较大。由主成分分析得,这三个区域均提取了四个主成分;Hg、As、Cu、Cr、Pb和Zn元素是影响五彩湾与荒漠带区域土壤重金属含量的主要因素;As、Cu、Cr和Pb元素是影响将军庙区域土壤重金属含量的主要因素。通过对不同区域的土壤重金属相关性分析得,五彩湾区域土壤Zn元素与将军庙区域土壤Zn元素呈显著性负相关,其中相关系数为-0.753,荒漠带区域Cr元素与将军庙区域的Hg、Cr元素均呈显著性正相关,其相关系数分别为0.776、0.751,显著性水平相关p<0.01,荒漠带区域的Cu元素与将军庙的Pb元素具有显著性正相关,相关系数为0.792。进而对显著性相关的元素进行拟合可知,将军庙区域的Hg元素与荒漠带地区的Cr元素三次拟合关系最好,相关系数R~2=0.9491。各元素空间插值明显,高值区域主要分布在五彩湾和将军庙区域。
In this paper,the Wucaiwan,desert zone and Jiangjun temple in Zhundong region was used as the research target and used multivariate statistical analysis and spatial analysis method for correlation analysis and spatial distribution of soil heavy metals between Wucaiwan,desert zone and Jiangjun temple in Zhundong.The results showed that the amplitude of Hg and As were low in these three region,soil heavy metal content was more concentrated,on the contrast,the amplitude of Cu,Cr,Pb and Zn were high.The three regions were extracted four principal components by PCA;Hg,As,Cu,Cr,Pb and Zn elements were the main factors that affected the contents of heavy metals in the soil area of the colorful Bay and the desert.As,Cu,Cr and Pb elements were the main factors that affected contents of heavy metals in Jiang Jun Temple.By analyzing the correlation of soil heavy metals in different regions,Zn elements in Wucaiwan were negatively correlated with Zn elements in Jiangjun temple,and the correlation coefficient was-0.753,Cr elements in the desert zone and Hg,Cr elements were significantly positive correlation in Jiangjun temple,the correlation coefficient were 0.776,0.751,significant level of correlation p<0.01,Cu elements in the desert zone and Pb elements had a significant positive correlation in Jiangjun temple,the correlation coefficient was 0.792.then the significant correlation elements were fitted,three fitting relation between Hg elements in Jiangjun temple and Cr elements in desert zone were the best,and the correlation coefficient R~2=0.9491.The spatial interpolation of each element was obvious,and the high value area was mainly distributed in Wucaiwan and Jiangjun temple.
In this paper,the Wucaiwan,desert zone and Jiangjun temple in Zhundong region was used as the research target and used multivariate statistical analysis and spatial analysis method for correlation analysis and spatial distribution of soil heavy metals between Wucaiwan,desert zone and Jiangjun temple in Zhundong.The results showed that the amplitude of Hg and As were low in these three region,soil heavy metal content was more concentrated,on the contrast,the amplitude of Cu,Cr,Pb and Zn were high.The three regions were extracted four principal components by PCA;Hg,As,Cu,Cr,Pb and Zn elements were the main factors that affected the contents of heavy metals in the soil area of the colorful Bay and the desert.As,Cu,Cr and Pb elements were the main factors that affected contents of heavy metals in Jiang Jun Temple.By analyzing the correlation of soil heavy metals in different regions,Zn elements in Wucaiwan were negatively correlated with Zn elements in Jiangjun temple,and the correlation coefficient was-0.753,Cr elements in the desert zone and Hg,Cr elements were significantly positive correlation in Jiangjun temple,the correlation coefficient were 0.776,0.751,significant level of correlation p<0.01,Cu elements in the desert zone and Pb elements had a significant positive correlation in Jiangjun temple,the correlation coefficient was 0.792.then the significant correlation elements were fitted,three fitting relation between Hg elements in Jiangjun temple and Cr elements in desert zone were the best,and the correlation coefficient R~2=0.9491.The spatial interpolation of each element was obvious,and the high value area was mainly distributed in Wucaiwan and Jiangjun temple.
引文
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[11]姚峰,包安明,古丽·加帕尔,等.新疆准东煤田土壤重金属来源与污染评价[J].中国环境科学,2013,33(10):1821-1828.
[2]Bocca B,Alimonti A,Petrucci F,et al.Quantification of trace elements by sector field inductively coupled plasma mass spectrometry in urine,serum,blood and cerebrospinal fluid of patients with Parkinson’s disease[J].Spectrochimica Acta Part B:Atomic Spectroscopy,2004,59(4):559-566.
[3]Ogunkunle C O,Fatoba P O,Ogunkunle M O,et al.Potential health risk assessment for soil heavy metal contamination of Sagamu,South-west Nigeria due to cement production[J].International Journal of Applied Science and Technology,2013,3(2):89-96.
[4]黄晓梅.新疆准东煤田固废的危害及处置对策[J].露天采矿技术,2008(4):59-60,66.
[5]孔利锋,赵晨曦,陈勇,等.新疆准东煤田大气降尘中Hg含量分析与污染风险评价[J].新疆环境保护,2015,37(2):1-6.
[6]李长春,张光胜,姚峰,等.新疆准东煤田五彩湾露天矿区土壤重金属污染评估与分析[J].环境工程,2014,32(7):142-146.
[7]刘柏根.准东煤田西山窑组煤层气成藏条件探讨[J].中国煤层气,2013,10(4):19-20.
[8]侯艳军,塔西甫拉提·特依拜,买买提·沙吾提,等.荒漠土壤有机质含量高光谱估算研究[J].农业工程学报,2014,30(16):113-120.
[9]Facchinelli A,Sacchi E,Mallen L.Multivariate statistical and GIS—based approach to identify heavy metal sources in soils[J].Environmental Pollution,2001,114(3):313-324.
[10]Zhao Y F,Shi X Z,Huang B,et al.Spatial distribution of heavy metals in agricultural soils of an industry based periurban area in Wuxi,China[J].Pedosphere,2007,17(1):44-51.
[11]姚峰,包安明,古丽·加帕尔,等.新疆准东煤田土壤重金属来源与污染评价[J].中国环境科学,2013,33(10):1821-1828.