类标准化土壤样品Cd含量高光谱定量反演

doi:10.3964/j.issn.1000-0593(2018)10-3254-07

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Abstract Due to the low accuracy of soil Cd concentrations estimation and the great difficulty of characteristic spectral wavelength identification using hyperspectraldata, a comparative study on quantitative estimation of soil Cd concentrations was carried out in this paper by using the type standard soil samples and naturally contaminated soil samples from one mine in Hunan province, China. The main innovation includes the schemeproposition of type standard soil samples production and the development of comparative experiments. This study produced the type standard soil samples by adding quantitative standard solution of Cd into relatively clean background soil. The experimental process also includes the field collection of naturally contaminated soil samples, the determination of soil composition, such as heavy metals, organic matter, the measurement of 350～2 500 nm soil spectral reflectance, and the total factor principal component stepwise regression modeling of soil Cd concentrations using spectral reflectance. The results showed that accuracy of the model based on type standard soil samples was higher (adjR²=0.87) than traditional modeling results based on naturally contaminated soil samples (adjR²=0.39). In addition, this study defined the existence of the spectral response between soil Cd concentrations and spectral reflectance. However, the effect of Cd concentrations on the soil spectral reflectance acted on all the wavelengths in various degrees among which, the spectral response signals in the wavelength of 1 000, 2 000 and 2 300 nm were relatively stronger. In this study, the innovatory scheme of type standard soil samples production is helpful to deeply explore spectral response characteristics of soil Cd and find out the real indicative characteristic bands of soil heavy metal concentrations. Furthermore, it will provide priori knowledge for quantitative estimation of soil heavy metal concentrations in the mode of multi-factor confounding pollution.

Key words：Soil; Cd; Type standard sample; Hyperspectral; Quantitative estimation

Received: 2017-10-10 Accepted: 2018-02-18

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Corresponding Authors: ZOU Bin E-mail: 210010@csu.edu.cn

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https://www.gpxygpfx.com/EN/10.3964/j.issn.1000-0593(2018)10-3254-07 OR https://www.gpxygpfx.com/EN/Y2018/V38/I10/3254

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