| 光谱学与光谱分析 |
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| Effect Soft Measurement Model of Steel Slag Powder Repair Heavy Metal Contaminated Soil with Fourier Transform Infrared Spectrum |
| YANG Gang1，2, LI Hui1, CHENG Dong-bo2, XU De-long1, CHEN Hua1, GU Heng-xing1 |
1. College of Materials and Mine Resources, Xi’an University of Architecture and Technology, Xi’an 710055, China
2. MCC Baosteel Technology Services Co., Ltd., Shanghai 200941, China |
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Abstract Using converter slag as curing stabilizing agents, applying Toxicity Characteristic Leaching Procedure (TCLP) and Fourier transform infrared spectroscopy method of tracking and detection of heavy metals in soil remediation effect of slag powder, and the micro-structure of mixtures (slag powder and heavy metal contaminated soils). It can establish soft sensor mode which is based on Gaussian process regression slag powder on heavy metal contaminated soil remediation effect. by using Gaussian process regression. The results show that the steel slag powder on heavy metals contaminated soil has good repairing effect, 180 d within its restorative effects are maintained over 90%; the repair process is divided into early, middle and late stages, in which the early (1~3 d) repair mode is given priority to with ion exchange high alkaline environment, medium-term (7~42 d) ion exchange and gel setting weaken the enhanced role of the late (56~180 d) form a large number CSH gel, the gel solidification further strengthened; based on Gaussian process regression Steel slag powder on heavy metal contaminated soil remediation effect soft measurement model of the real and predicted values agree well with the data, the absolute error is -1.35 ~-0.48, relative error of -1.448%～-0.497%.
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Received: 2016-07-25
Accepted: 2016-11-09
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Corresponding Authors:
YANG Gang
E-mail: yanggang00@163.com
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[1] Li F, Bade R, Oh S, et al. Korean Journal of Chemical Engineering, 2012, 29(10): 1362.
[2] Saria L, Shimaoka T, Miyawaki K. Waste Management & Research, 2006, 24(2): 134.
[3] Castakli P, Santona L, Melis P. Chemosphere, 2005, 60(3): 365.
[4] Kumpiene J, Lagerkvist A, Maurice C. Waste Management, 2008, 28(1): 215.
[5] Navarro M C, Perez S C, Martinez S M J, et al. Journal of Geochemical Exploration, 2008, 96(2-3): 183.
[6] Huang Y Z, Hao X W. Chemistry and Ecology, 2012, 28(1): 37.
[7] Malyshkina N V, Mannering F L. Accident; Analysis and Prevention，2010, 42(1): 131.
[8] Tsakiridis P E, Papadimitriou G D, Tsivilis S. Journal of Hazardous Materials, 2008, 152(2): 805.
[9] Chen H M, Zheng C R, Tu C, et al. Chemosphere, 2000, 41(1-2): 229.
[10] Liu S Y, Gao J, Yang Y J, et al. Journal of Hazardous Materials, 2009, 173(1-3): 558.
[11] Song G L, Wu Y, Chen X, et al. Desalination and Water Treatment, 2014, 52(52): 7125.
[12] Qiu H, Gu H H, He E K. Pedosphere, 2012, 22(4): 544.
[13] Raman N, Narayanan D S. International Journal of Environmental Engineering, 2014, 6(2): 173.
[14] Sima J, Cao X, Zhao L, et al. Chemosphere, 2015, 138: 744.
[15] Mcgmth S P, Cunliffe C H. Journal of the Science of Food and Agriculture, 1985, 36(9): 794.
[16] Chen A, Lin C, Lu W, et al. Journal of Hazardous Materials, 2010, 175(1-3): 638.
[17] XIONG Zhi-hua, ZHANG Ji-cheng, SHAO Hui-he(熊志化, 张继承, 邵惠鹤). Acta Simulata Systematica Sinica(系统仿真学报), 2005, 17(4): 793.
[18] HE Zhi-kun, LIU Guang-bin, ZHAO Xi-jing, et al(何志昆, 刘光斌, 赵曦晶, 等). Control and Decision(控制与决策), 2013, 28(8): 1121.
[19] WANG Xin, LI Hong-li(王 鑫, 李红丽). Process Automation Instrumentation(自动化仪表), 2014, 35(5): 1.
[20] Kottas A, Behseta S, Moorman D E, et al．Journal of Neuroscience Methods, 2012, 203(1): 241.
[21] Guyon I, Elisseeff A. Journal of Machine Learning Research, 2003, 32(4): 1157. |
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