光谱学与光谱分析 |
|
|
|
|
|
Long-Term Different Fertilizations Changed the Chemical and Spectrum Characteristics of DOM of the Irrigation-Desert Soil in North-Western China |
CHANG Dan-na1, 2, CAO Wei-dong1, 3*, BAO Xing-guo4*, BAI Jin-shun1, ZHANG Jiu-dong4, LU Bing-lin4, GAO Song-juan1, 2,ZENG Nao-hua1, WANG Xue-cui1, 2, Shimizu Katsuyoshi5 |
1. Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China 2. The Graduate School, Chinese Academy of Agricultural Sciences, Beijing 100081, China 3. Qinghai University, Xining 810016, China 4. Institute of Soil, Fertilizer and Water-saving Agriculture, Gansu Academy of Agricultural Sciences, Lanzhou 730070, China 5. Faculty of Agriculture, Kagoshima University, Kagoshima 890-0065, Japan |
|
|
Abstract By using Ultraviolet-visible Spectrometry, Fourier Transform Infrared Spectrometer and Elemental Analyzer, spectrum and chemical characteristics of soil DOM affected by long-term different fertilizations were investigated in irrigation-desert soil in North-western China based on an experiment started from 1988. Four different fertilization treatments were included, i.e., organic fertilizer (OF), green manure (GM), chemical fertilizer (CF) and a control of no fertilization (CK). The results showed that fertilization could increase the contents of DOM. Compared to CK, the treatments of OF, GM, CF increased the dissolved organic carbon (DOC) by 37%, 29%, 16%; increased the dissolved nitrogen (DON) by 334%, 257%, 182%; increased the total carbohydrate (TCs) by 90%, 25%, 2%; and increased the total organic acids (TOAs) by 195%, 116%, 58%; respectively. Furthermore, DOC, DON, TCs, and TOAs in the OF treatment were significantly higher than those in CK, they were also significantly higher in the GM and CF treatments except for TCs. The ultraviolet-visible analysis showed that fertilizations enhanced the SUVA254, SUVA260, SUVA272 and SUVA280 of DOM, indicating that fertilizations increased the aromatic and hydrophobic percentage, humification degree, and average molecular weight, and thus resulting in more stability of DOM. Same trends were showed for all the 4 ultraviolet spectrum absorption values in different fertilizations, i.e., the strongest effect was found in the OF treatment, and then was the GM treatment and CF treatment successively. From the results by the Fourier Transform Infrared Spectrometry, the characteristic peak of aromatic in the OF treatment was observed shifting from 1 625 to 1 649 cm-1, which was close to the characteristic peak of humin, suggesting that the aromaticity of DOM in the OF treatment was higher than the other treatments. The characteristic peaks of C—O at 1 260~1 000 cm-1 belonging to sugar, alcohol, and carboxylic acid were highest in the GM treatment, showing that the green manure could increase rich oxygen radicals. The highest characteristic peaks of N—H at 3 559, 3 419 and 1 456 cm-1 were observed in the CF treatment, indicating that the chemical fertilizer could increase amine substances. The contents of C, O and N in the OF, GM, CF treatments were also increased respectively according to the elemental analysis.
|
Received: 2014-09-22
Accepted: 2014-12-30
|
|
Corresponding Authors:
CAO Wei-dong, BAO Xing-guo
E-mail: caoweidong@caas.cn; xinguobao@aliyun.com
|
|
[1] Kalbitz K, So linger S, Park J H, et al. Soil Science, 2000, 165(4): 277. [2] WANG Mei-li, LI Jun, ZHU Zhao-zhou, et al(王美丽, 李 军, 朱兆洲,等). Bulletin of Mineralogy Petrology and Geochemistry(矿物岩石地球化学通报), 2010, 3(29): 304. [3] GAO Tai-zhong, ZHANG Hao, ZHOU Jian-wei(高太忠, 张 昊, 周建伟). Ecology and Environmental Sciences(生态环境学报), 2011, 20(4): 652. [4] GUO Jian-fen, YANG Yu-sheng, CHEN Guang-shui, et al(郭剑芬, 杨玉盛,陈光水,等). Journal of Fujian Normal University (福建师范大学学报), 2008, 24(4): 102. [5] SHENG Yu-fang, TAO Wu-hui, LI Shi-qing(沈玉芳, 陶武辉, 李世清). Journal of Agro-Environment Science(农业环境科学学报), 2011, 30(1): 139. [6] NI Jin-zhi, XU Jian-min, XIE Zheng-miao(倪进治, 徐建民, 谢正苗). Journal of Agro-Environment Science(农业环境科学学报), 2003, 22(4): 416. [7] YANG Nan, YU Hui-bin, SONG Yong-hui, et al(杨 楠, 于会彬, 宋永会,等). Acta Scientiate Circumstantiae(环境科学学报), 2014, 34(7): 1751. [8] ZHAN Xin-hua, ZHOU Li-xiang, SHEN Qi-rong, et al(占新华, 周立祥, 沈其荣,等). Acta Scientiate Circumstantiae(环境科学学报), 2001, 21(4): 470. [9] Dilling J, Kaiser K. Water Research, 2002, 336: 5037. [10] Kalbitz K, Schmerwitz J, Schwesig D, et al. Geoderma, 2003, 113(3/4): 273. [11] ZHAO Man-xing, ZHOU Jian-bin, CHEN Zhu-jun, et al(赵满兴, 周建斌, 陈竹君, 等). Acta Ecological Sinica(生态学报), 2007, 27(1): 397. [12] CHEN Wu-rong, LIU Qin, YU Hong-shuang, et al(陈武荣, 刘 勤, 禹洪双,等). Journal of Soil and Water Conservation(水土保持学报), 2010, 24(6): 111. [13] SHI Ji-ping, ZHANG Fu-dao, LIN Bao(史吉平, 张夫道, 林 葆). Scientia Agricultura Sinica(中国农业科学), 2002, 35(2): 174. [14] ZHANG Jia-shen, CAO Jun, TAO Shu(张甲珅, 曹 军, 陶 澍). Acta Pedologica Sinica(土壤学报), 2003, 40(1): 118. [15] ZHAN Xin-hua, ZHOU Li-xiang, LU Yan-yu(占新华, 周立祥, 卢燕宇). China Environmental Science(中国环境科学), 2010, 30(5): 619.
|
[1] |
CHENG Jia-wei1, 2,LIU Xin-xing1, 2*,ZHANG Juan1, 2. Application of Infrared Spectroscopy in Exploration of Mineral Deposits: A Review[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 15-21. |
[2] |
LI Jie, ZHOU Qu*, JIA Lu-fen, CUI Xiao-sen. Comparative Study on Detection Methods of Furfural in Transformer Oil Based on IR and Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 125-133. |
[3] |
GAO Feng1, 2, XING Ya-ge3, 4, LUO Hua-ping1, 2, ZHANG Yuan-hua3, 4, GUO Ling3, 4*. Nondestructive Identification of Apricot Varieties Based on Visible/Near Infrared Spectroscopy and Chemometrics Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 44-51. |
[4] |
LIU Jia, ZHENG Ya-long, WANG Cheng-bo, YIN Zuo-wei*, PAN Shao-kui. Spectra Characterization of Diaspore-Sapphire From Hotan, Xinjiang[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 176-180. |
[5] |
BAO Hao1, 2,ZHANG Yan1, 2*. Research on Spectral Feature Band Selection Model Based on Improved Harris Hawk Optimization Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 148-157. |
[6] |
YANG Cheng-en1, 2, LI Meng3, LU Qiu-yu2, WANG Jin-ling4, LI Yu-ting2*, SU Ling1*. Fast Prediction of Flavone and Polysaccharide Contents in
Aronia Melanocarpa by FTIR and ELM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 62-68. |
[7] |
GUO Ya-fei1, CAO Qiang1, YE Lei-lei1, ZHANG Cheng-yuan1, KOU Ren-bo1, WANG Jun-mei1, GUO Mei1, 2*. Double Index Sequence Analysis of FTIR and Anti-Inflammatory Spectrum Effect Relationship of Rheum Tanguticum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 188-196. |
[8] |
BAI Xue-bing1, 2, SONG Chang-ze1, ZHANG Qian-wei1, DAI Bin-xiu1, JIN Guo-jie1, 2, LIU Wen-zheng1, TAO Yong-sheng1, 2*. Rapid and Nndestructive Dagnosis Mthod for Posphate Dficiency in “Cabernet Sauvignon” Gape Laves by Vis/NIR Sectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3719-3725. |
[9] |
WANG Qi-biao1, HE Yu-kai1, LUO Yu-shi1, WANG Shu-jun1, XIE Bo2, DENG Chao2*, LIU Yong3, TUO Xian-guo3. Study on Analysis Method of Distiller's Grains Acidity Based on
Convolutional Neural Network and Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3726-3731. |
[10] |
DANG Rui, GAO Zi-ang, ZHANG Tong, WANG Jia-xing. Lighting Damage Model of Silk Cultural Relics in Museum Collections Based on Infrared Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3930-3936. |
[11] |
SUN Wei-ji1, LIU Lang1, 2*, HOU Dong-zhuang3, QIU Hua-fu1, 2, TU Bing-bing4, XIN Jie1. Experimental Study on Physicochemical Properties and Hydration Activity of Modified Magnesium Slag[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3877-3884. |
[12] |
LI Xiao-dian1, TANG Nian1, ZHANG Man-jun1, SUN Dong-wei1, HE Shu-kai2, WANG Xian-zhong2, 3, ZENG Xiao-zhe2*, WANG Xing-hui2, LIU Xi-ya2. Infrared Spectral Characteristics and Mixing Ratio Detection Method of a New Environmentally Friendly Insulating Gas C5-PFK[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3794-3801. |
[13] |
HU Cai-ping1, HE Cheng-yu2, KONG Li-wei3, ZHU You-you3*, WU Bin4, ZHOU Hao-xiang3, SUN Jun2. Identification of Tea Based on Near-Infrared Spectra and Fuzzy Linear Discriminant QR Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3802-3805. |
[14] |
LIU Xin-peng1, SUN Xiang-hong2, QIN Yu-hua1*, ZHANG Min1, GONG Hui-li3. Research on t-SNE Similarity Measurement Method Based on Wasserstein Divergence[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3806-3812. |
[15] |
LUO Li, WANG Jing-yi, XU Zhao-jun, NA Bin*. Geographic Origin Discrimination of Wood Using NIR Spectroscopy
Combined With Machine Learning Techniques[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3372-3379. |
|
|
|
|