Spatial distribution of Heavy Metal contents in farmland soils by different spatial interpolation methods: A case study of a farmland in Lanping County, Yunnan Province

3rd International Symposium on Resource Exploration and Environmental Science

生态环境科学

Li, Shunyou^1^2 ; Zhou, Dandan^1^2 ; Jin, Xiuqi^1^2 ; Liu, Yang^1^2

Faculty of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan

650500, China^1

Yunnan Key Laboratory of Soil Carbon Sequestration and Pollution Control, Kunming, Yunnan

650500, China^2

关键词: Distribution characteristics;    Heavy metal contents;    Heavy metal pollution;    Interpolation method;    Optimal interpolation;    Prevention and controls;    Spatial interpolation;    Spatial interpolation method;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/300/3/032096/pdf
DOI  :  10.1088/1755-1315/300/3/032096

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

The spatial interpolation method is of great sign ificance for the spatial distribution of heavy metals in soil and the prevention and control of pollution. However, different interpolation methods are applied to predict the accuracy of different heavy metal pollution distributions in small-scale areas with a single farmland. There is no relevant argument. Taking a farmland (96000m2) in Lanping County, Yunnan Province, Yunnan Province as the research object, 144 surface soil samples were collected and the contents of Pb and Cd in soil were determined by ICP-MS. The deterministic spatial interpolation method and geostatistical Kriskin interpolation method were used to investigate the accuracy of different interpolation methods and the distribution characteristics of Pb and Cd in soil. The results show that the optimal interpolation methods for heavy metals Pb and Cd in polluted farmland are 0-order ordinary Kristen interpolation method, and the content of Pb and Cd in the soil is relatively accurate. This study will provide important basic information for the identification of spatial distribution characteristics of different heavy metals in small-scale areas with a single farmland, which will help to comprehensively evaluate the function of spatial interpolation to identify spatial distribution information of heavy metals.