The spatial distribution characteristics of six heavy metals and metalloid in soil of Zhuji Lipu copper mining area, Zhejiang Province, was studied by using geostatistics approaches combined with GIS. These elements i...The spatial distribution characteristics of six heavy metals and metalloid in soil of Zhuji Lipu copper mining area, Zhejiang Province, was studied by using geostatistics approaches combined with GIS. These elements included Pb, As, Cr, Cu, Zn and Ni. The statistical analyses showed that concentrations of these elements were lognormal distribution. Concentrations of Pb, As, Cu, Zn and Ni were strongly correlated with each other indicating that these elements in soils may be from the same pollution source. However, accumulation of Cr was unique with its geometric mean being close to that in the control soil. This indicates that Cr content was mainly influenced by soil factors. The Kriging method was applied to estimate the unobserved points. The Kriging interpolation maps reflected significant spatial distribution of these elements as influenced by both pollution and geological factors. The present study indicated that GIS based geostatistics method could accurately analyze the spatial variation of heavy metals and metalloid in the mining area. Overall, higher concentrations of heavy metals and metalloid were found in the center of both the north and south sides. The content of copper in the south was significantly higher than that in the north due to paddy field land uses. In addition, the terrain of four terraces tilted to the center and the broad irrigation accident occurred in the 4th trench in the south of sampling area were also contributed to the higher concentrations of these elements.展开更多
利用卫星数据快速提取矿化岩性信息,是目前矿产资源勘查的重要技术手段之一。文章以新疆东天山土屋斑岩型铜矿区为研究区,基于该地区出露岩体相关矿物的可见光近红外波段(VNIR)至短波红外波段(SWIR)的光谱特征分析,对ASTER多光谱包括以...利用卫星数据快速提取矿化岩性信息,是目前矿产资源勘查的重要技术手段之一。文章以新疆东天山土屋斑岩型铜矿区为研究区,基于该地区出露岩体相关矿物的可见光近红外波段(VNIR)至短波红外波段(SWIR)的光谱特征分析,对ASTER多光谱包括以热红外(TIR)波段在内的全谱域数据进行处理,分别采用主成分分析(PCA)、波段比值(BR)、矿物指数算法识别和提取了研究区地表侵入体的岩性信息。同时,对ASTER 15 m DEM数据进行E-W方向滤波处理,提取和解译出土屋矿区控矿断裂构造信息,结合岩性信息分析控矿条件。最后,对遥感信息提取结果分别进行了矿物镜下与野外验证。展开更多
文摘The spatial distribution characteristics of six heavy metals and metalloid in soil of Zhuji Lipu copper mining area, Zhejiang Province, was studied by using geostatistics approaches combined with GIS. These elements included Pb, As, Cr, Cu, Zn and Ni. The statistical analyses showed that concentrations of these elements were lognormal distribution. Concentrations of Pb, As, Cu, Zn and Ni were strongly correlated with each other indicating that these elements in soils may be from the same pollution source. However, accumulation of Cr was unique with its geometric mean being close to that in the control soil. This indicates that Cr content was mainly influenced by soil factors. The Kriging method was applied to estimate the unobserved points. The Kriging interpolation maps reflected significant spatial distribution of these elements as influenced by both pollution and geological factors. The present study indicated that GIS based geostatistics method could accurately analyze the spatial variation of heavy metals and metalloid in the mining area. Overall, higher concentrations of heavy metals and metalloid were found in the center of both the north and south sides. The content of copper in the south was significantly higher than that in the north due to paddy field land uses. In addition, the terrain of four terraces tilted to the center and the broad irrigation accident occurred in the 4th trench in the south of sampling area were also contributed to the higher concentrations of these elements.
文摘利用卫星数据快速提取矿化岩性信息,是目前矿产资源勘查的重要技术手段之一。文章以新疆东天山土屋斑岩型铜矿区为研究区,基于该地区出露岩体相关矿物的可见光近红外波段(VNIR)至短波红外波段(SWIR)的光谱特征分析,对ASTER多光谱包括以热红外(TIR)波段在内的全谱域数据进行处理,分别采用主成分分析(PCA)、波段比值(BR)、矿物指数算法识别和提取了研究区地表侵入体的岩性信息。同时,对ASTER 15 m DEM数据进行E-W方向滤波处理,提取和解译出土屋矿区控矿断裂构造信息,结合岩性信息分析控矿条件。最后,对遥感信息提取结果分别进行了矿物镜下与野外验证。
