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迁安市农田重金属含量空间变异性 被引量:30

Spatial variability of farmland heavy metals contents in Qianan City.
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摘要 利用地统计学和GIS相结合的方法,对河北省迁安市农田土壤耕层(0~20cm)8种重金属含量的空间变异性进行了研究.结果表明,农田中8种重金属含量均值未超过土壤环境质量(GB15618—1995)二级标准,属于中等变异.Cu、Zn、Ni、Cr和As含量的变异函数理论模型符合指数模型,空间相关程度强;Hg和Cd含量的变异函数理论模型符合球状模型,空间相关程度中等;Pb含量具有纯块金效应,空间相关程度弱.在整个研究尺度上,Pb含量具有恒定的变异,其余7种重金属含量由空间自相关部分引起的空间变异性起主要作用,空间相关距离为11—20km.用普通Kriging方法对Cu、Zn、Ni、Cr、Hg、As和Cd含量空间局部插值表明,北部山地重金属含量较高,而中部盆地重金属含量较低. By the methods of geostatistics and GIS, this paper studied the spatial variability of Cu, Zn, Ni, Cr As, Hg, Cd and Pb contents in the farmland topsoil (0 -20 cm) of Qianan City, Heboi Province. The results showed that the average contents of test metals were under the secondary standard of environmental quality standard for soil ( GB 15618-1995) , and belonged to moderate variability. The theoretical models of semi-variance of Cu, Zn, Ni, Cr and As contents fitted exponential models, and their spatial correlations were strongly spatial dependence; while the theoretical models of Hg and Cd contents fitted spherical models, and their spatial correlations were moderately spatial dependence. The Pb content had pure nugget effect, and was weakly spatial dependence. In whole research scale, Pb content had lasting variability, while the other seven heavy metals contents had the spatial variability mainly caused by their spatial correlation parts. The ranges of heavy metals spatial correlations were about 11 krn to 20 km. The Krlging' s interpolation of Cu, Zn, Ni, Cr, Hg, As and Cd contents showed that their contents were higher in northern mountainous area, but lower in mid basin.
出处 《应用生态学报》 CAS CSCD 北大核心 2006年第8期1495-1500,共6页 Chinese Journal of Applied Ecology
基金 国家重点基础研究发展规划项目(2005CB121106) 欧盟SUSDEV-CHINA项目资助(IAC4-CT-2002-10004).
关键词 地统计学 重金属 空间变异性 地理信息系统(GIS) Geostatistics, Heavy metal, Spatial variability, Geographical information system (GIS).
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参考文献32

  • 1Burgess TM,Webster R.1980.Optimal interpolation and isarithmic mapping of soil properties Ⅰ.The semi-variogram and punctual Kriging.J Soil Sci,31:315~331.
  • 2Burgess TM,Webster R,Mcbratney AB.1981.Optimal interpolation and isarithmic mapping of soil properties Ⅳ.Sampling strategy.J Soil Sci,32:643~659.
  • 3Burrough PA.1983.Multi-scale sources of spatial variation in soil.Ⅰ.The application of fractal concepts to nested levels of soil variation.J Soil Sci,34:577~597.
  • 4Cambardella CA,Moorman TB,Novak JM,et al.1994.Field-scale variability of soil properties in central Iowa soils.Soil Sci Soc Am J,58:1501~1511.
  • 5Campbell JB.1978.Spatial variation of sand content and pH within single contiguous delineation of two soil mapping units.Soil Sci Soc Am J,42:460~464.
  • 6Chen M,Ma LQ,Hoogeweg CG,et al.2001.Arsenic background concentrations in Florida,U.S.A.surface soils:Determination and interpretation.Environ Forensics,2:117~126.
  • 7Facchinelli A,Sacchi E,Mallen L.2001.Multivariate statistical and GIS-based approach to identify heavy metal sources in soils.Environ Pollut,114:313~324.
  • 8Fisher RA.1925.Statistical Methods for Research Workers.London:Oliver and Boyd.43~75.
  • 9郭旭东,傅伯杰,马克明,陈利顶,杨福林.基于GIS和地统计学的土壤养分空间变异特征研究——以河北省遵化市为例[J].应用生态学报,2000,11(4):557-563. 被引量:396
  • 10侯景儒.地质统计学在我国的应用及其发展[J].地质与勘探,1991,27(4):36-38. 被引量:15

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