Spatial estimation of antibiotic residues in surface soils in a typical intensive vegetable cultivation area in China
文献类型:SCI/SSCI论文
作者 | Xie Y. F. ; Li X. W. ; Wang J. F. ; Christakos G. ; Hu M. G. ; An L. H. ; Li F. S. |
发表日期 | 2012 |
关键词 | Antibiotic residue Spatial mean Stratification Mean of Surface with Non-homogeneity (MSN) Arithmetic mean Ordinary kriging (OK) veterinary antibiotics geostatistical analysis animal manure heavy-metals environment prediction plants fate tetracycline variability |
英文摘要 | Antibiotic residues in surface soils can lead to serious health risks and ecological hazards. Spatial mean concentration of antibiotic residues in the soil is the most important indicator of a region's environmental risk to antibiotic residues. Considerable estimation error would lead to an inefficient strategy of pollution control that happens when sample size is small and the estimation model does not match the spatial features of the object to be surveyed. On the basis of the available datasets, it was found that the distribution of antibiotics residue in soil follows a spatial stratification pattern. Accordingly, we used a new spatial estimation method called Mean of Surface with Non-homogeneity (MSN) to estimate antibiotic concentrations in surface soil of the Shandong Province, an important vegetable growing region in China. The standard error of the mean estimates obtained by MSN was significantly smaller (by about 1.02-6.82 mu g/kg) than the estimation errors produced by three mainstream methods, simple arithmetic estimation (2.9-11.8 mu g/kg), stratified estimation (2.5-10.6 mu g/kg) and ordinary kriging estimation (2.2-82 mu g/kg). (C) 2012 Elsevier B.V. All rights reserved. |
出处 | Science of the Total Environment |
卷 | 430 |
页 | 126-131 |
收录类别 | SCI |
语种 | 英语 |
ISSN号 | 0048-9697 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/26738] |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Xie Y. F.,Li X. W.,Wang J. F.,et al. Spatial estimation of antibiotic residues in surface soils in a typical intensive vegetable cultivation area in China. 2012. |
入库方式: OAI收割
来源:地理科学与资源研究所
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