DOM characteristics and sources of mine water in themiddle Yellow River Basin based on parallel factor method

被引：0
作者：
Zhang X. [1 ,2 ,3 ]
Yang J. [2 ,3 ]
Wang H. [2 ,3 ]
Liu J. [2 ,3 ]
Dong X. [2 ,3 ]
Wang T. [2 ,3 ]
机构：
[1] School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an
[2] Xi’an Research Institute of CCTEG Xi’an Research Institute, Xi’an
[3] Shaanxi Engineering Research Center of Mine Ecological Environment Protection and Restoration in the Middle of Yellow River Basin, Xi’an
来源：
Meitan Xuebao/Journal of the China Coal Society | 2021年 / 46卷
关键词：
dissolved organic matter; mine water; parallel factor; principal component analysis; the middle Yellow River Basin;
D O I：
10.13225/j.cnki.jccs.ST21.2022
中图分类号：
学科分类号：
摘要：
The middle section of the Yellow River Basin is a top area of coal resource endowment in China, and it is also an important coal production area. A large amount of mine water is produced in the process of high intensity coal mining. Due to the leakage of oil in underground mining equipment, some organic pollutants generally appear in mine water, and the types and characteristics of pollutants are not clear, which greatly limits the safe reuse of mine water. In order to find out the characteristics and sources of organic pollutants in mine water, this study took 15 coal mines in the middle part of the Yellow River basin bordering Mongolia and Shaanxi as research objects. On the basis of detecting and analyzing the conventional physicochemical indexes of mine water in the central underground water sump, the detection of dissolved organic matter(DOM)in mine water was conducted by using TOC-VCPH analyzer, UV spectrophotometer, 3D fluorescence spectrometer and other equipment. Using the parallel factor method, the component characteristics of DOM in mine water were determined, and then combined with principal component analysis and correlation analysis methods, the sources and influencing factors of DOM in mine water were analyzed. The results showed that the suspended solids were the conventional pollutants in mine water in the study area. High turbidity mine water accounted for 100% of the total dissolved solids (TDS), fluoride and nitrate were the characteristic pollutants in mine water in the study area, among which the hydrogeochemical vertical zonation led to higher TDS concentration in the deeply buried aquifer. Fluoride was most significant in the mines with coal seams buried at a depth of about 300 m in Yushen mining area, and the exceedance rate of nitrate in some mines is 20.0%-55.8%. Four types of fluorescent components appear in the mine water of 15 coal mines based on the calculation of parallel factor analysis. The protein-like substances represented by tyrosine are the main components of DOM in mine water, with an overall contribution rate of 63.0%-89.0% to DOM, which mainly comes from underground phenols, dichlorobenzene, benzene and other aromatic hydrocarbons generated from emulsified oil leaks. Three-dimensional fluorescence analysis reveals that the mine water of these 15 coal mines has the same fluorescence index characteristics:autogenic index (BIX) less than 2.0 (0.8-1.4), humification index (HIX) less than 4.0 (0.6-2.5), and fluorescence intensity(FI)greater than 1.0(1.5-2.2), indicating that DOM in the study area generally originates from protein-like substances. The principal component analysis and correlation analysis further verify that the downhole oil contaminants are the main source of DOM in mine water in this study area. The standard three-dimensional fluorescence fingerprints and fluorescence characteristics of DOM in mine water obtained from this study based on parallel factor analysis provide a scientific basis for the safe and sustainable utilization of mine water in the middle section of the Yellow River basin. © 2021 China Coal Society. All rights reserved.
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页码：936 / 947
页数：11
相关论文
共 39 条
  • [11] ZOU Youping, LU Runsheng, YANG Jian, Three-dimensional excitation emission matrix fluorescence spectroscopic characterization of dissolved organic matter in coal mine water [ J], Journal of China Coal Society, 37, 8, pp. 1396-1400, (2012)
  • [12] YANG Jian, WANG Qiangmin, WANG Tiantian, Et al., Variation characteristics of mine water quality during maintenance of underground fully mechanized mining equipment in Shenfu mining area, Journal of China Coal Society, 44, 12, pp. 3710-3718, (2019)
  • [13] HAN Jiaming, YU Yan, ZHENG ranfeng, Et al., Source analysis of DOM in coal mine underground reservoir [ J], Journal of Mining Science and Technology, 5, 5, pp. 575-583, (2020)
  • [14] HE Jie, ZHU Xuehui, WEI Bin, Et al., Spectral characteristics and sources of DOM in Suzhou landscape river during flood season were analyzed based on EEMs and UV Vis, Environmental Science, 42, 2, pp. 1890-1898, (2021)
  • [15] WANG Shuangming, FAN Limin, HUANG Qingxiang, Et al., Coal water geologyical conditions and water conserving mining for Yushen coal mine area, Journal of Xi’an University of Science and Technology, 30, 1, pp. 1-6, (2010)
  • [16] BUGDEN J, YEUNG C W, KEPKAY P E, Et al., Application of ultraviolet fluorometry and excitation-emission matrix spectroscopy(EEMS) to fingerprint oil and chemically dispersed oil in seawater[J], Marine Pollution Bulletin, 56, 4, pp. 677-685, (2008)
  • [17] HUANG Tinglin, FANG Kaikai, ZHANG Chunhua, Et al., Analysis of distribution characteristics and source of dissolved organic matter from Zhoucun Reservoir in summer based on fluorescence spectroscopy and PARAFAC, Environmental Science, 37, 9, pp. 3394-3401, (2016)
  • [18] ANDERSSON C A, BRO R., The N-way toolbox for MATLAB, Chemometrics & Intelligent Laboratory Systems, 52, 1, pp. 1-4, (2000)
  • [19] BAHRAM M, BRO R, STEDMON C, Et al., Handling of Rayleigh and Raman scatter for PARAFAC modeling of fluorescence data using interpolation, Journal of Chemometrics, 20, 3, pp. 99-105, (2010)
  • [20] ZHANG Peng, Comprehensive evaluation based on principal component analysis, (2004)
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