土壤修复过程中盐含量及其光谱特征分析研究

doi:10.3964/j.issn.1000-0593(2017)05-1507-07

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Abstract In this paper, the soil salt content (SSC) and the associated spectral reflectance were measured and analyzed during the microbial remediation process of saline soil. The two methods including extremums of correlation coefficients and the different ranges of correlation coefficients were used to find the optimal sensitive bands of SSC for eight spectral data sets covering the raw spectral reflectance, the smoothed spectral reflectance and six different pre-processing transformations of spectral data of saline soil. With this basis, partial least squares regression (PLSR) was used to build relational models between SSC and spectral reflectance based on full bands (400～1 650 nm) and optimal bands, respectively. The results showed that the optimal spectral bands for eight spectral data sets, concentrated on 947.11～949.31, 1 340.27, 1 394.11, 1 457.81～1 461.31, 1 537.68～1 551.39 and 1 602.32 nm. Taking the coefficient of determination (R² ), root mean squared error (RMSE) and akaike’s information criterion(AIC) as criteria to select the best model. For the PLSR predicting models of SSC based on optimal bands from two different ways, the SGSD (LogR) obtained more robust calibration and prediction accuracies than other pre-processing inversion models. Compared with optimal bands, the full bands using PLSR method could obtain better prediction accuracies on the whole. Among all of the eight spectral data sets in full bands, the prediction accuracy of SGSD was the best, the corresponding R² and RMSEP of the predicted model were 0.673 and 1.256. For the inversion models based on optimal bands, although there was a slight gap in the prediction accuracy with that based on full bands, they also had their own merits: these models were much simpler and thus the reducing model computation and modelling speed were more important than improving prediction accuracy. The results of this study showed that the method had a great potential for diagnosing and monitoring soil salinization quickly and conveniently in researching the relation between SSC and soil reflectance spectra.

Key words：Saline soil; Microbial remediation; Spectral transformations; PLSR

Received: 2015-12-28 Accepted: 2016-04-08

ZTFLH:

TP7

Corresponding Authors: SHEN Guang-rong E-mail: sgrong@sjtu.edu.cn

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https://www.gpxygpfx.com/EN/10.3964/j.issn.1000-0593(2017)05-1507-07 OR https://www.gpxygpfx.com/EN/Y2017/V37/I05/1507

[1] Howari F M. Journal of Applied Spectroscopy, 2003, 70(5): 782.
[2] MA Chuang, SHEN Guang-rong, ZHI Yue-e, et al. Spectroscopy and Spectral Aanlysis(光谱学与光谱分析), 2015, 35(9): 2602.
[3] Dehaan R L, Taylor G R. Remote sensing of Environment, 2002, 80(3): 406.
[4] ZHAO Zhen-liang, Taxipulati Teyibai, SUN Qian, et al(赵振亮, 塔西甫拉提·特依拜, 孙倩, 等). Progress in Geography(地理科学进展), 2014, 33(2): 280.
[5] WENG Yong-ling, QI Hao-ping, FANG Hong-bin, et al(翁永玲, 戚浩平, 方洪宾, 等). Acta PedologicaSinica(土壤学报), 2010，(6): 1255.
[6] MA Chuang, SHEN Guang-rong, WANG Zi-jun, et al(马创, 申广荣, 王紫君, 等). Chinese Journal of Soil Science(土壤通报), 2015，(2): 292.
[7] Nawar S, Buddenbaum H, Hill J. Arabian Journal of Geosciences, 2015，8: 5217.
[8] CHU Xiao-li(褚小立). Molecular Spectroscopy Analytical Technology Combined with Chemometrics and Its Applications(化学计量学方法与分子光谱分析技术). Beijing: Chemical Industry Press(北京：化学工业出版社), 2011. 75.
[9] PENG Jie, LIU Huan-jun, SHI Zhou, et al(彭杰, 刘焕军, 史舟, 等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2014, 30(17): 167.
[10] Gao Xiaohong, Yang Yang, Zhang Wei, et al. SPIE Asia Pacific Remote Sensing, 2014，9623：962310-1.
[11] YIN Li, LIU Qiang, WANG Hui-wen(尹力, 刘强, 王惠文). Journal of System Simulation(系统仿真学报), 2003, 15(1): 135.
[12] YANG Fu-qin, FENG Hai-kuan, LI Zhen-hai, et al(杨福芹, 冯海宽, 李振海 , 等). Transactions of the Chinese Society for Agricultural Machinery(农业机械学报), 2015, 46(11): 112.
[13] PENG Jie, ZHOU Qing, ZHANG Yang-zhu, et al(彭杰, 周清, 张杨珠, 等). Acta Pedologica Sinica(土壤学报), 2013, 50(3): 517.
[14] Howari F M, Goodell P C, Miyamoto S. Journal of Environmental Quality, 2002, 31(5): 1453.
[15] YU Lei, HONG Yong-sheng, GENG Lei, et al(于雷, 洪永胜, 耿雷, 等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2015，31: 103.