光谱学与光谱分析 |
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Ex-Situ Remediation on Co-Contaminated Arid Loess in Column with Spectral Methods |
FAN Chun-hui1, ZHANG Ying-chao2, WANG Xiao-na1, WANG Jia-hong1 |
1. College of Resource & Environment, Shaanxi University of Science & Technology, Xi’an 710021, China 2. College of Environment, Tsinghua University, Beijing 100084, China |
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Abstract The arid loess in northwestern China is one of the dominant soil types nationwide, the removal efficiency of Pb and chlorpyrifos in simulated co-contaminated loess was investigated by ethylene diamine tetra-acetic acid (EDTA) in ex-situ column experiment, and methods of ultraviolet spectroscopy (UV), atomic absorption spectroscopy (AAS), scanning electron microscope-energy dispersive X-ray spectroscopy (SEM-EDS) and Fourier transform infrared spectroscopy (FTIR) were used to reveal the remediation characteristics and mechanism. The results showed that the flow rate and pH value of EDTA are responsible for the reaction curves. In the experimental conditions, the removal rates of Pb and chlorpyrifos are more than 70% and 90%, respectively, and the bioavailability of heavy metals decreases greatly. The SEM micrographs indicate the dense and rough surface of loess, and unclear surface and enhanced dispersion of particles appear after the reaction. The EDS results explain the phenomenon of Pb removal and elemental loss. The move, disappearance and decrease of wave peaks, shown from FTIR spectra, are the effect of various chemical environment in loess, and the reaction is more appropriate for physisorbed pollutants removal. The achievements are acceptable for co-contaminated loess remediation by EDTA in ex-situ column, showing potential for future application.
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Received: 2013-08-06
Accepted: 2013-11-05
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Corresponding Authors:
FAN Chun-hui
E-mail: fanchunhui@sust.edu.cn
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[1] SONG Wei, CHEN Bai-ming, LIU Lin(宋 伟, 陈百明, 刘 琳). Research of Soil and Water Conservation (水土保持研究), 2013, 20(2): 293. [2] Gevao B, Semple K T, Jones K C. Environmental Pollution, 2000, 108(1): 3. [3] Wasay S A, Barrington S, Tokunaga S. Water, Air, & Soil Pollution, 2001, 127(1/2/3/4): 301. [4] Pociecha M, Lestan D. Journal of Hazardous Materials, 2010, 174(1/2/3): 670. [5] Yeung A T, Gu Y Y. Journal of Hazardous Materials, 2011, 195(1/2): 11. [6] Voglar D, Lestan D. Chemosphere, 2013, 91(1): 76. [7] Tessier A, Campbell P G C, Blsson M. Analytical Chemistry, 1979, 51(7): 844. [8] Heil D M, Samani Z, Hanson A T, et al. Water, Air, & Soil Pollution, 1999, 113(1/2/3/4): 77. [9] Papassiopi N, Tambouris S, Kontopoulos A. Water, Air, & Soil Pollution, 1999, 109(1/2/3/4): 1. [10] Wasay S A, Barrington S, Tokunaga S. Canadian Agricultural Engineering, 1998, 40(1): 9. [11] LI Ke-bin, LIU Wei-ping, XU Zhong-jian, et al(李克斌, 刘维屏, 许中坚, 等). Acta Scientiae Circumstantiae(环境科学学报), 2002, 22(6): 754. [12] WANG Hai-juan, NING Ping, ZENG Xiang-dong, et al(王海娟, 宁 平, 曾向东, 等). Journal of Wuhan University of Technology(武汉理工大学学报), 2010, 32(5): 101. [13] LIU Ya-nan, LI Qu-sheng, DU Ye-feng, et al(刘亚男, 李取生, 杜烨锋, 等). Environmental Science(环境科学), 2011, 32(7): 2087. [14] LI Ting, ZHAO Shi-wei, LI Xiao-xiao, et al(李 婷, 赵世伟, 李晓晓, 等). Chinese Journal of Applied Ecology(应用生态学报), 2012, 23(12): 3266. [15] Solomon D, Lehmann J, Kinyangi J, et al. Soil Science Society of America Journal, 2005, 69(1): 107. [16] Baes A U, Bloom P R. Soil Science Society of America Journal, 1989, 53(3), 695. |
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