期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2018
卷号：170
期号：3
页码：032157
DOI：10.1088/1755-1315/170/3/032157
语种：English
出版社：IOP Publishing
摘要：In this study, 44 soil samples collected from the country of Fufeng, Yangling, and Wugong of Shaanxi Province. Using the ASD FieldSpec HR (350~2500 nm) spectroscopy collected. The original reflectance spectra were processed by NOR, MSC and SNV. The first deviation, the second deviation and the reciprocal logarithm of reflectivity were used respectively. The optimal hyperspectral estimation model of Cd was established by partial least squares regression. Chemical analysis showed that there was a serious Cd pollution phenomenon in the study area, and the Cd content approached the critical value. The results of the model show that: (1) The reflectance spectra of the reflectance spectra significantly increase the signal-to-noise ratio of the reflectance spectrum after being transformed by NOR, MSC and SNV. Combined with the differential transformation, it helps to improve the information of heavy metal elements in soils. Significantly improve model stability and predictive power. (2) The modeling accuracy of the optimal model for Cd elemental spectra established by PLSR method is 0.5451, 0.9912 and 0.6182, respectively. (3) The optimal estimation model established by different elements with different treatment methods has better stability and higher accuracy, and can quickly predict the Cd concentration in heavy metals in this area.
