部分土壤重金属可见-近红外反射光谱特征及机理研究

doi:10.3964/j.issn.1000-0593(2018)03-0771-08

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Abstract In this paper, the reflectance spectral features of chromium(CrCl₃), copper chloride(CuCl₂) and zinc chloride (ZnCl₂) were measured by using visible and near-infrared reflectance spectroscopy (VNIRS). Thus, the spectra features integrating with the state of electrons arranged of heavy metal elements, and combined with the Crystal Field Theory were used to analyze where and why the wavebands of spectral features occurred. With the soil samples collected from Daye City, CrCl₃, CuCl₂ and ZnCl₂ were added to them with different concentrations, and measured their VNIRS to study the impacts of different concentrations of heavy metals on soil reflectance spectra. Besides, the spectral data were transformed via different spectra pre-processing methods to explore the linear correlations between heavy metal concentrations and the reflectance spectra of the soil samples, and to study on where and why the Pearson’s significantly correlated wavebands (p<0.05) appeared and its potential mechanism. The results showed that the reflectance spectra in the range of visible and shortwave near-infrared of heavy metal compounds are related to the whether the 3d orbits of heavy metal elements filled by electron or not. The reflectance spectra of soil samples have been affected by the heavy metal compounds which were added, and negative correlations were revealed between the reflectance spectra data and the heavy metal concentrations. The maximum of the negative values of Pearson correlation coefficient were -0.788, -0.880, -0.824, respectively. There were some changes with the linear correlation between the heavy metal concentrations and the reflectance spectra, and the information of Pearson’s significantly correlated wavebands (p<0.05) became richer and more obvious after the reflectance spectra being pre-processed. This research indicated that the VNIRS of heavy metals are closely related to their electronic structure; the high concentrations of heavy metals in soils could be detected by the VNIRS technique, which has great potential in predicting soil heavy metal contents with rapid and efficient, non-destructive and cost-effective. Based on the VNIRS characteristics of some heavy metals, this paper integrated with the Crystal Field Theory to provide a theoretical basis and experimental reference for qualitative and quantitative analysis of reflectance spectroscopy of soil heavy metals.

Key words： Visible and near-infrared reflectance spectroscopy Soil heavy metals Pretreatment Crystal field theory Linear correlation

Received: 2017-03-30 Accepted: 2017-07-21

ZTFLH:

O657.3

Corresponding Authors: CHEN Yi-yun, WAN Qi-jin E-mail: chenyy@whu.edu.cn；qijinwan@wit.edu.cn

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http://www.gpxygpfx.com/EN/10.3964/j.issn.1000-0593(2018)03-0771-08 OR http://www.gpxygpfx.com/EN/Y2018/V38/I03/771

[1] GONG Yu-ling，FENG Yong-jun，LI Jin-tao，et al(巩玉玲，冯永军，李进涛，等). Journal of Hebei Agricultural Sciences(河北农业科学)，2015，(5)：74.
[2] Chen Yiyun，Liu Yaolin，Liu Yanfang，et al. International Journal of Environmental Research and Public Health，2012，9(5)：1874.
[3] Shi Tiezhu，Liu Huizeng，Wang Junjie. Environmental Science & Technology，2014，48(11)：6264.
[4] WANG Lu，LIN Qi-zhong，JIA Dong，et al(王璐，蔺启忠，贾东，等). Journal of Remote Sensing(遥感学报)，2007，11(6)：906.
[5] XU Bin-bin(徐彬彬). Soils(土壤)，2000，32(6)：281.
[6] HE Jun-liang，ZHANG Shu-yuan，ZHA Yong，et al(贺军亮，张淑媛，查勇，等). Remote Sensing Technology and Application(遥感技术与应用)，2015，30(3)：407.
[7] WU Yong-feng，DONG Yi-wei，HU Xin，et al(武永峰，董一威，胡新，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2015，35(12)：3416.
[8] Liu Yaolin，Jiang Qinghu，Shi Tiezhu，et al. Acta Agriculturae Scandinavica，Section B (Soil & Plant Science), 2014，64(3)：267.
[9] Liu Yaolin，Chen Yiyun. International Journal of Remote Sensing，2012，33(18)：5954.
[10] XIE Xian-li，SUN Bo，HAO Hong-tao(解宪丽，孙波，郝红涛). Acta Pedologica Sinica (土壤学报)，2007，44 (6)：982.
[11] Liu Yaolin，Chen Yiyun. Soil and Sediment Contamination：An International Journal，2012，21(8)：951.
[12] YANG Ya-na，PAN Tao，LI Min-miao，et al(杨亚娜，潘涛，李敏妙，等). Science Technology and Engineering(科学技术与工程)，2014，14(4)：150.
[13] Wu Y Z, Chen J, Ji J F, et al. Soil Science Society of America Journal, 2007, 71(3): 918.
[14] HU Xue-yu，SUN Hong-fa，CHEN De-lin (胡学玉，孙宏发，陈德林). Ecology and Environment(生态环境)，2007，16(5)：1421.
[15] Haubrock S N，Chabrillat S，Lemmnitz C，et al. International Journal of Remote Sensing，2008，29 (1)：3.