化学
偏最小二乘回归
环境化学
土壤pH值
分配系数
土工试验
含水量
土壤科学
有机质
土壤水分
环境科学
数学
色谱法
地质学
岩土工程
统计
有机化学
作者
Wenwen Gong,Xinhui Liu,Hui He,Liang Wang,Guohua Dai
出处
期刊:Chemosphere
[Elsevier]
日期:2012-10-01
卷期号:89 (7): 825-831
被引量:54
标识
DOI:10.1016/j.chemosphere.2012.04.064
摘要
Using 14 parameters featuring soil physicochemical properties and the partial least squares (PLSs) regression method, three quantitative models were respectively developed for the soil-water distribution coefficients (logK(d)) of oxytetracycline (OTC), sulfamethazine (SMZ) and norfloxacin (NOR) in 23 Chinese natural soil samples from cultivated lands in 19 provinces of China. The cross-validated correlation coefficients (Q(cum)(2)) of three models are 0.866, 0.765 and 0.868, and the standard deviations (SDs) are 0.16, 0.21 and 0.15 respectively. The high Q(cum)(2) and low SD values indicate that three models have high robustness and precise predictability. Six parameters including pH, clay content, free Fe oxides (DCB-Fe), free Al oxides (DCB-Al), Ca content and Al content are greatly significant in the OTC model, three ones including pH, clay content and DCB-Fe are greatly significant in the SMZ model, and five ones including pH, clay content, DCB-Fe, Ca content and organic matter (OM) are greatly significant in the NOR model. The high VIP values of pH (1.17-1.24), clay content (0.81-1.10) and DCB-Fe (0.90-0.99) show that the three sorts of soil physicochemical properties play dominant roles in governing the partition balance between soil and water of three antibiotics.
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