Analysis of the Effect of Moisture on Soil Organic Matter Determination and Anti-Moisture Interference Model Building Based on Vis-NIR Spectral Technology
WANG Shi-fang, CHENG Xu, SONG Hai-yan*
College of Engineering, Shanxi Agricultural University, Taigu 030801, China
Abstract:Soil moisture shows a strong absorption for spectroscopy while soil organic matter and moisture have identical absorption bands. Therefore, the soil moisture causes interference to soil organic matter detection. The study made the following works: firstly, different soil organic matter dynamic spectrums under different moisture content were acquired with visible near-infrared spectroscopy; secondly, different organic matter content features under the same moisture content were analyzed with two-dimensional synchronization correlation spectroscopy. When the soil moisture is 0%, around 600 and 1 660 nm which characterize soil organic matter band appear strong autocorrelation peaks. With moisture content increasing, around 600 and 1 660 nm band disappear and around 1 931, 2 200 and 1 480 nm band appear strong autocorrelation peaks in the near-infrared region. Soil moisture covers information bands which characterize soil organic matter and affects soil organic matter detection; thirdly, the maximum moisture content samples approximately in the filed participated modeling to eliminate the effect of moisture on soil organic matter detection and improve the model prediction accuracy. The anti-moisture interference prediction model which used 550~650 and 1 610~1 710 nm wavelengths by PLS (Partial Least Squares) quantitative analysis method was established to predicate the soil organic matter content under different moisture content. The results are as follows: predicted correlation coefficient, SEP and RMSEP is 0.954, 0.744 and 0.844 respectively. Predicted effect improves significantly. It is that the method can reduce the effect of moisture on soil organic matter detection.
王世芳,程 旭,宋海燕* . 水分对土壤有机质检测影响的光谱特性分析及抗水分干扰模型建立 [J]. 光谱学与光谱分析, 2016, 36(10): 3249-3253.
WANG Shi-fang, CHENG Xu, SONG Hai-yan* . Analysis of the Effect of Moisture on Soil Organic Matter Determination and Anti-Moisture Interference Model Building Based on Vis-NIR Spectral Technology. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(10): 3249-3253.
[1] TANG Na, ZHANG Xin-le,LIU Huan-jun, et al(汤 娜,张新乐,刘焕军,等). Chinese Journal of Soil Science(土壤通报),2013, 44(1): 72. [2] Chang C, Laird D A, Mausbach M J, et al. Soil Science Society of America Journal, 2001, 65: 480. [3] Hummel J W, Sudduth K A, Hollinger S E.Computer and Electronics in Agriculture, 2001, 32: 149. [4] Tulina A S, Semenov V M, Rozanova L N, et al. Soil Chemistry, 2009, 42(11): 1241. [5] Curtin Denis, Beare Michael H, Hernandez-Ramirez, et al. Soil Science Society of America Journal, 2012, 11: 2055. [6] Minasny B, McBratney A B, Bellon-Maurel V, et al. Geoderma, 2011,167:118. [7] SONG Hai-yan, CHENG Xu(宋海燕,程 旭). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2014,34(5): 1240. [8] SHAN Xiu-zhi, WEI You-qing, YAN Hui-jun, et al(单秀枝,魏由庆,严慧峻, 等). Acta Pedologica Sinica(土壤学报), 1998, 35(1): 1. [9] WANG Miao, PAN Xian-zhang, XIE Xian-li, et al(王 淼,潘贤章,解宪丽,等). Soil(土壤),2012, 44(4):645. [10] XIAO Wu, LI Xiao-yu, LI Pei-wu, et al(肖 武,李小昱,李培武,等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报),2009,25(8): 15. [11] Noda I. Appl. Spectrosc., 1993, 47(9): 1329.