Near infrared reflectance spectroscopy as a tool to predict pesticide sorption in soil

被引：25

作者：

Bengtsson, S.

Berglof, T.

Kylin, H. ^{[1
]}

机构：

[1] Norwegian Inst Air Res, Polar Environm Ctr, N-9296 Tromso, Norway

[2] Swedish Univ Agr Sci, Dept Environm Assessment, S-75007 Uppsala, Sweden

来源：

BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY | 2007年 / 78卷 / 05期

关键词：

chemometrics; partial least squares regression; principal component analysis; soil binding; leaching; linuron; lindane;

D O I：

10.1007/s00128-007-9167-x

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

We used near infrared reflectance spectroscopy (NIR) combined with chemometric methods to predict the sorption of lindane and linuron to 27 agricultural soils from Sweden. The NIR predictions were calibrated by principal component analysis (PCA) of the NIR spectra and sorption data obtained using the batch equilibrium technique. Partial least square regression PLSR of the NIR data could predict 85% of the soil sorption (K-d) for lindane and 84% for linuron, respectively. The results indicate that NIR can be used as a rapid and simple method to predict pesticide sorption to and leaching from soils.

引用

页码：295 / 298

页数：4

共 19 条

[1] RELATING ORGANIC-MATTER AND CLAY CONTENT TO MULTISPECTRAL RADIANCE OF SOILS [J].