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基于GIS的农田土壤重金属空间分布研究——以山东省泰安市为例

李瑞平 姜咏栋 李光德 周楠楠 于冲 候存东

山东农业大学学报(自然科学版)2012,Vol.43Issue(2):232-238,7.
山东农业大学学报(自然科学版)2012,Vol.43Issue(2):232-238,7.

基于GIS的农田土壤重金属空间分布研究——以山东省泰安市为例

THE SPATIAL DISTRIBUTION OF HEAVY METALS IN THE CROPLAND BASED ON GIS

李瑞平 1姜咏栋 2李光德 1周楠楠 1于冲 1候存东2

作者信息

  • 1. 山东农业大学资源与环境学院 山东泰安 271018
  • 2. 泰安市环境保护监测站,山东泰安 271018
  • 折叠

摘要

Abstract

The given study has been performed in a soon - to - be urbanized region in Tai' an county, Shandong, which includes six small towns in hoping to investigate the content and the spatial distribution of heavy metals in the crop fields around the above towns. Our study has been done based on the geo - statistic approach by using ArcGIS with a distribution map drawn by means of Kriging method. The results of our investigation have shown that the actual content of all the heavy metals except Pb in the soil is over their original background level, with the variance index of Ni and Zn being the highest, that is, 85.4% for the former and 75.6% for the latter. The results of spatial distribution analyses show that the ratio of nugget to sill of Cu, Zn, Cd, Cr, Pb, Ni, Hg was 23% , 60.54% ,27.88% , 36.32% , 63.48% , 42.95% , 75.61%respectively, with their range of 2.0 km, 2. 2 km, 15.0 km, 12.5 km, 15.6 km and 3. 6 km respectively. This suggests that Cu have the strongest spatial correlation, with Zn, Ni, Cd, Cr, Pb keeping the moderate spatial correlation, and Hg the feeble spatial correlation. And, finally, the spatial interpolation map reveals that the seven elements mentioned above have the different spatial distribution characteristics. The high remainder of Cu, Zn, Cr, Ni content has been found in die east of the region - Xintai, though the content of Hg decreases gradually from the south to the north, with Cr being higher in the west and east but lower in the middle, while Pb being richer in the west and middle but fewer in the east. In addition, various distributions have been found influenced by the double factors; human activity for their well - beings and the soil itself, which suggests that we should learn to use land properly and wisely in a well - planned way for the benefit of the local people in the future.

关键词

农田土壤/重金属/空间分布/ArcGIS

Key words

Cropland soil/ heavy metal/ spatial distribution/ ArcGIS

分类

资源环境

引用本文复制引用

李瑞平,姜咏栋,李光德,周楠楠,于冲,候存东..基于GIS的农田土壤重金属空间分布研究——以山东省泰安市为例[J].山东农业大学学报(自然科学版),2012,43(2):232-238,7.

山东农业大学学报(自然科学版)

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