|
|
|
|
|
|
Influence of Temperature on Laser Induced Fluorescence Spectroscopy of Mine Goaf Water |
HU Feng, ZHOU Meng-ran*, YAN Peng-cheng, ZHANG Jie-wei, WU Lei-ming, ZHOU Yue-chen |
College of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan 232001, China |
|
|
Abstract Rapid identification of coal mine inrush water source is of great significance to coal mine safety production, therefore,laser induced fluorescence technology is used in the rapid identification of coal mine inrush water, which broke the insufficiency of a long time spent on traditional chemistry method. Mine goaf water is the most common and the most harmful type of water source, and the temperature is one of the most important factors that affect the physical properties. Studying the temperature characteristics of laser induced fluorescence detection of the goaf water can help to quickly and accurately identify mine inrush sources, which has important academic significance and practical value. In this paper, 405 nm blue-violet semiconductor laser as a light source, the laser power is set to 120 mW, the generating laser light is supposed to go by the UV/Vis quartz fiber and expose the water sample by fluorescence probe before the tested water samples are activated by laser to generate the fluorescence which is collected by a fluorescence probe. Finally it is transmitted to the spectrometer through quartz fiber.Taking the goaf water collected from Zhangji Coal Mine in Huainan in March 2017 as the research object, the suspended particles in the water sample is filtered out before placing it in the beaker and reducing the sample temperature to 5 ℃ with ice cubes to. Then it is put into a constant temperature bath pot, using the iron stand fixed fluorescent probe to deposite it at a place 1 cm under the liquid surface. In the process of fluorescence spectrum acquisition, the sample is always placed in a constant temperature water bath, and the fluorescence spectra were obtained by controlling the temperature of the sample in the water bath over the temperature range of 10.0~60.0 ℃, and discusses the effects of temperature variation on the laser induced fluorescence spectra, peak position, peaks, temperature coefficients and spectral area of the goaf water. The results show that, with the increase of temperature, the molecular motion is accelerated, the probability of collision between the molecules is increased. As a result, the non-radiative transition increases, the fluorescence efficiency of the goaf water decreases, the fluorescence intensity is weakened, and the overall attenuation of the fluorescence spectra is mainly concentrated in the 400~700 nm band. The wavelength of the two peaks in the fluorescent spectra of the goaf water remains unchanged, which did not drift with temperature. The fluorescence intensity of two peaks (472 and 493 nm) is where it is weakened the most. Besides, there is a good linear relationship between the decrease of fluorescence intensity and the temperature rise, the correlation coefficient r2 is 0.91 at 472 nm, and the fitting correlation coefficient r2 is 0.963 36 at 293 nm. The temperature coefficient at 472 nm reached a minimum of 0.34% at 20.0 ℃, 493 nm temperature coefficient at 20 ℃ when the minimum value of 0.81%, both temperature coefficients in 20 ℃ to achieve the lowest value that fluorescence spectra in the vicinity of 20 ℃ the most stable. When the temperature increases, the area of the old air water in the 400~700 nm band and the temperature axis is gradually reduced, the correlation coefficient r2 of the area and the temperature of the 400~700 nm band spectrum is 0.975 39, i.e. the decrease of the area and the temperature rise has a good linear relation. By studying the temperature characteristics of the mine goaf water, the laser induced fluorescence spectrum of the mine goaf water is the most stable at 20 ℃, and under this temperature condition, the laser induced fluorescence technique is the most effective to identify the mine water source. At the same time, the temperature compensation by using the linear relation of the goaf wave peak and the area to the temperature can further enhance the sensitivity and accuracy of the identification of mine water inrush by using LIF technology. The study is of great significance to realize fast and accurate discrimination of mine goaf water.
|
Received: 2017-12-01
Accepted: 2018-04-20
|
|
Corresponding Authors:
ZHOU Meng-ran
E-mail: mrzhou8521@163.com
|
|
[1] JIN De-wu, LIU Ying-feng, LIU Zai-bin, et al(靳德武, 刘英锋, 刘再斌, 等). Coal Science and Technology(煤炭科学技术), 2013, 41(1): 25.
[2] ZHAO Bao-feng(赵宝峰). Journal of Safety and Environment(安全与环境学报), 2013, 13(3): 231.
[3] WEN Ting-xin, ZHANG Bo, SHAO Liang-shan(温廷新, 张 波, 邵良杉). China Safety Science Journal(中国安全科学学报), 2014, 24(7): 111.
[4] Ostendorf D W, Degroot D J, Judge A I, et al. Hydrogeology Journal, 2010, 18(3): 595.
[5] Nakhate S G, Mukund S, Bhattacharyya S. Chemical Physics Letters, 2017, 669: 38.
[6] Lundin D, Vitelaru C, De Poucques L, et al. Journal of Physics D: Applied Physics, 2013, 46(17): 175201.
[7] CHEN Hao, HU Ren-zhi, XIE Ping-hua, et al(陈 浩, 胡仁志, 谢品华, 等). Acta Photonica Sinica(光子学报), 2017, 46(2): 0230001.
[8] ZHANG Ji-hua, ZHAO Zhi-min, ZHANG Wen-jie(张吉华, 赵志敏, 张文杰). Chinese Journal of Luminescence(发光学报), 2016, 37(8): 1023.
[9] YAN Peng-cheng, ZHOU Meng-ran, LIU Qi-meng, et al(闫鹏程, 周孟然, 刘启蒙,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2016, 36(1): 243.
[10] WANG Ya, ZHOU Meng-ran, YAN Peng-cheng, et al(王 亚, 周孟然, 闫鹏程, 等). Journal of China Coal Society(煤炭学报), 2017, 42(9): 2427.
[11] YI Zhong, WANG Song, TANG Xiao-jin, et al(易 忠, 王 松, 唐小金, 等). Acta Physica Sinica(物理学报), 2015, 64(12): 125201.
[12] LI Li-li, ZHANG Xiao-hong, WANG Yu-long, et al(李丽丽, 张晓虹, 王玉龙,等). Acta Physica Sinica(物理学报), 2017, 66(8): 087201.
[13] DING Bai-chuan(丁百川). Coal Science and Technology(煤炭科学技术), 2017, 45(5): 109.
[14] LIU Yan-ping, WU Yi-shi, FU Hong-bing(刘艳苹, 吴义室, 付红兵). Acta Physico-Chimica Sinica(物理化学学报), 2016, 32(8): 1880.
[15] Lü Xi-ming, LI Hui, YOU Jing, et al(吕袭明, 李 辉, 尤 菁, 等). Acta Physica Sinica(物理学报), 2017, 66(11): 118701.
[16] Lü Zhao-cheng, LI Ying, QUAN Gui-ying, et al(吕兆承, 李 营, 全桂英,等). Acta Physica Sinica(物理学报), 2017, 66(11): 117801. |
[1] |
FAN Ping-ping,LI Xue-ying,QIU Hui-min,HOU Guang-li,LIU Yan*. Spectral Analysis of Organic Carbon in Sediments of the Yellow Sea and Bohai Sea by Different Spectrometers[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 52-55. |
[2] |
YANG Chao-pu1, 2, FANG Wen-qing3*, WU Qing-feng3, LI Chun1, LI Xiao-long1. Study on Changes of Blue Light Hazard and Circadian Effect of AMOLED With Age Based on Spectral Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 36-43. |
[3] |
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. |
[4] |
ZHANG Ning-chao1, YE Xin1, LI Duo1, XIE Meng-qi1, WANG Peng1, LIU Fu-sheng2, CHAO Hong-xiao3*. Application of Combinatorial Optimization in Shock Temperature
Inversion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3666-3673. |
[5] |
LIANG Ya-quan1, PENG Wu-di1, LIU Qi1, LIU Qiang2, CHEN Li1, CHEN Zhi-li1*. Analysis of Acetonitrile Pool Fire Combustion Field and Quantitative
Inversion Study of Its Characteristic Product Concentrations[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3690-3699. |
[6] |
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. |
[7] |
LI Qi-chen1, 2, LI Min-zan1, 2*, YANG Wei2, 3, SUN Hong2, 3, ZHANG Yao1, 3. Quantitative Analysis of Water-Soluble Phosphorous Based on Raman
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3871-3876. |
[8] |
LIANG Jin-xing1, 2, 3, XIN Lei1, CHENG Jing-yao1, ZHOU Jing1, LUO Hang1, 3*. Adaptive Weighted Spectral Reconstruction Method Against
Exposure Variation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3330-3338. |
[9] |
CHEN Heng-jie, FANG Wang, ZHANG Jia-wei. Accurate Semi-Empirical Potential Energy Function, Ro-Vibrational Spectrum and the Effect of Temperature and Pressure for 12C16O[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3380-3388. |
[10] |
YU Hao-zhang, WANG Fei-fan, ZHAO Jian-xun, WANG Sui-kai, HE Shou-jie*, LI Qing. Optical Characteristics of Trichel Pulse Discharge With Needle Plate
Electrode[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3041-3046. |
[11] |
TIAN Fu-chao1, CHEN Lei2*, PEI Huan2, BAI Jie-qi1, ZENG Wen2. Diagnosis of Emission Spectroscopy of Helium, Methane and Air Plasma Jets at Atmospheric Pressure[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2694-2698. |
[12] |
ZENG Si-xian1, REN Xin1, HE Hao-xuan1, NIE Wei1, 2*. Influence Analysis of Spectral Line-Shape Models on Spectral Diagnoses Under High-Temperature Conditions[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2715-2721. |
[13] |
MA Qian1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, CHENG Hui-zhu1, 2, ZHAO Yan-chun1, 2. Research on Classification of Heavy Metal Pb in Honeysuckle Based on XRF and Transfer Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2729-2733. |
[14] |
HUANG Chao1, 2, ZHAO Yu-hong1, ZHANG Hong-ming2*, LÜ Bo2, 3, YIN Xiang-hui1, SHEN Yong-cai4, 5, FU Jia2, LI Jian-kang2, 6. Development and Test of On-Line Spectroscopic System Based on Thermostatic Control Using STM32 Single-Chip Microcomputer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2734-2739. |
[15] |
ZHENG Yi-xuan1, PAN Xiao-xuan2, GUO Hong1*, CHEN Kun-long1, LUO Ao-te-gen3. Application of Spectroscopic Techniques in Investigation of the Mural in Lam Rim Hall of Wudang Lamasery, China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2849-2854. |
|
|
|
|