摘要
针对广东省某地区土壤中采样样品点的重金属污染物砷(As),文章选取统计学中具有代表性的反距离加权(IDW)、样条函数(Spline)、普通克里格(OK)3种空间插值方法,对比分析不同空间插值方法下研究区土壤中As浓度估算精度、污染特征识别和污染格局空间区划的差异。结果表明:3种空间插值方法在研究区土壤As浓度的估算中,IDW表现最佳;3种插值方法所识别的研究区As污染空间分布特征和污染格局均存在差异,但相对于OK法,IDW和Spline两种方法的结果更加相近。研究表明,在基于点状离散数据采用空间插值方法分析区域土壤重金属污染特征的过程中,应首先考虑结合区域数据样本的数量和特征,开展各空间插值方法的精度评价。
The distribution of As in surface soil of a region in Guangdong was studied by interpolating with 3spatial interpolation methods including Inverse Distance Weighted（IDW）,Spline and Ordinary Kriging（OK）.The results were compared according to the prediction accuracy,the estimate of the As-polluted area and risk area identification.It was showed that IDW performed better than Spline and OK in predicting the As concentration of unsampled sites;the As-polluted areas identified by three methods were different,and compared to OK,results from IDW and Spline were much closer.Finally,it was concluded that a proper interpolation method would be significant for identifying point-based risk area,and the size and attribute characteristic of the sampling data set should be considered in the selection of spatial interpolation methods to improve the interpolation accuracy.
出处
《测绘科学》
CSCD
北大核心
2015年第1期63-67,共5页
Science of Surveying and Mapping
基金
中国博士后科学基金项目(2012M521558)
中国博士后科学基金特别资助项目(2013T60780)
