基于ArcGIS的污染场地土壤铬空间格局分析  被引量:3

Spatial Pattern Analysis of Soil Cr in Contaminated Site Based on ArcGIS

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作  者:方敦[1,2] 吴称意[3] 韦晓宇 龙小兰 

机构地区:[1]湖北民族学院科技学院,湖北恩施445400 [2]北京鼎实环境工程有限公司,北京100029 [3]湖北民族学院,湖北恩施445400 [4]清江外国语学校,湖北恩施445400 [5]四川省叙永县环境监测站,四川叙永646400

出  处:《安徽农业科学》2014年第16期5181-5185,共5页Journal of Anhui Agricultural Sciences

基  金:国家自然科学基金资助项目(41261060)

摘  要:以某铬盐生产废弃场地为例,运用空间数据管理平台ArcGIS以普通克里格插值法、趋势分析法评估污染物铬(Cr)在场地土壤中的空间分布格局并实现其可视化表达。普通克里格插值分析表明场地污染物Cr主要集中在中上层土壤且Cr污染在各层中部污染较其他区域严重,Cr在场地中的空间分布与原厂工艺布局关联度较高;趋势分析与克里格插值空间分析结果具有较好的一致性,场地空间数据分层统计,合理地利用了空间插值分析中区域变量的自相关假设,提高了评估成果的可靠性。Chromium (Cr) spatial distribution pattern and 3D visualization expression of the contaminated site were accomplished by using Ordinary Kriging method and trend analysis based on ArcGIS.Ordinary Kriging method was used for soil Cr spatial interpolation analysis.Results of Ordinary Kriging showed that Cr pollution was mainly concentrated in the first and second soil layers,and Cr content of the central soil was higher than that of the surrounding soil,and a drastically decrease of Cr pollution range was found from the first layer to the third layer; strong correlation between Cr data spatial distribution and original factory process layout was found.Trend analysis was used to determine the global trend of soil spatial data.The results of trend analysis were consistent with that of Ordinary Kriging interpolation method.Autocorrelation hypothesis of the regional variable was reasonable used because of the hierarchical spatial data statistics which improved the reliability of the evaluation results.

关 键 词:土壤 污染场地 空间分析 克里格插值 ARCGIS 

分 类 号:S181.3[农业科学—农业基础科学]

 

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