|
|
|
|
|
|
| A Time Series Double Threshold Method for Pollution Events Detection in Drinking Water Using Three-Dimensional Fluorescence Spectroscopy |
| XUE Fang-jia, YU Jie*, YIN Hang, XIA Qi-yu, SHI Jie-gen, HOU Di-bo, HUANG Ping-jie, ZHANG Guang-xin |
State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310058, China
|
|
|
|
|
Abstract Three-dimensional fluorescence technology is attracting attention in detecting emergency drinking water pollution events. However, some unsolved problems remain, such as being easily affected by water environment fluctuations, low detection rate facing low-concentration organic pollutants, etc. Therefore, in response to the demand for online monitoring, this study proposed a time series double thresholds method for anomaly detection in drinking water using three-dimensional fluorescence. This method applied principal component analysis (PCA) to extract the feature spectrum of the detected samples and trained the linear autoregressive (AR) model to predict the principal component of the water samples in the future. The eigenvalue difference was then obtained by comparing the predicted and measured ones. At the same time, combined with the change rate of the measured eigenvalues, the double threshold for time series was set to finally determine the start and end points of the pollution event to determine the entire pollution event. The research validated the proposed method by simulating high-concentration pollution events, low-concentration pollution events, and fluctuations in water background. The experimental results show that this method maintains the detection accuracy for high-concentration pollution events. Moreover, compared with conventional methods, the proposed method improved the detection performance in low-concentration pollution events and low-concentration pollution in high-interference environments. The detection accuracy is increased by 9.4% and 20.7%, respectively.
|
|
Received: 2022-06-14
Accepted: 2022-09-29
|
|
|
|
Corresponding Authors:
YU Jie
E-mail: yu_jie@zju.edu.cn
|
|
[1] LIN Jing-xue, LI Bao-zhi, REN Da-sheng, et al(林景雪，李宝志，任达生，等). Chemical Analysis and Meterage（化学分析计量）, 2017, 26(1): 118.
[2] TAN Li-feng, CHU Su-chun, HUI Gao-yun, et al（谈立峰, 褚苏春, 惠高云, 等）. Journal of Environment and Health（环境与健康杂志）, 2018, 35(9): 827.
[3] Liu Y H, Chen Y, Feng M J, et al. Environmental Science and Pollution Research, 2021, 28(31)：42339.
[4] Vizioli B D, Hantao L W，Montagner C C. Environmental Science and Pollution Research, 2021, 28(25)：32823.
[5] Wu M F, Wang X, Niu G H, et al. Analytical Chemistry, 2021, 93(29)：10196.
[6] Quintana J B, Carpinteiro J, RodrGuez I, et al. Journal of Chromatography A, 2004, 1024(1-2): 177.
[7] WANG Xiao-xue, WU Ba-yi(王晓雪，吴八一). Resources Economization & Environmental Protection（资源节约与环保）, 2014，(3): 91.
[8] JIANG Chuan(江 川). Resources Economization & Environmental Protection（资源节约与环保）, 2014，(4): 59.
[9] Peiris R H, Hallé C, Budman H, et al. Water Research, 2010, 44(1): 185.
[10] Heibati M, Stedmon C A, Stenroth K, et al. Water Research，2017, 125：1.
[11] Yu J, Cao Y, Shi F, et al. Water，2021; 13(19): 2633.
[12] Huang P, Mao T, Yu Q, et al. Opt. Express，2019, 27: 5461.
[13] Yu J，Zhang X，Hou D, et al. Journal of Spectroscopy，2017, 2017：1485048.
[14] CHEN Fang, ZHANG Xiao-yan, HUANG Ping-jie, et al(陈 方，张晓燕，黄平捷，等). Journal of Zhejiang University Agriculture and Life Sciences(浙江大学学报·农业与生命科学版), 2016, 42(3): 368.
[15] YU Shao-hui, ZHANG Yu-jun, ZHAO Nan-jing(于绍慧, 张玉钧, 赵南京). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2015, 35(6): 1624.
[16] National Standard of the People's Republic of China(中华人民共和国国家标准). GB 5749—2022 Standards for Drinking Water Quality(生活饮用水卫生标准). National Health Commission of the People's Republic of China(中华人民共和国国家卫生健康委员会)，2022.
[17] Yu S, Xiao X, Xu G. Journal of Applied Spectroscopy, 2016, 83(5): 786.
[18] Bro R，Smilde A K. Analytical Methods，2014，6(9): 2812.
|
| [1] |
LEI Hong-jun1, YANG Guang1, PAN Hong-wei1*, WANG Yi-fei1, YI Jun2, WANG Ke-ke2, WANG Guo-hao2, TONG Wen-bin1, SHI Li-li1. Influence of Hydrochemical Ions on Three-Dimensional Fluorescence
Spectrum of Dissolved Organic Matter in the Water Environment
and the Proposed Classification Pretreatment Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 134-140. |
| [2] |
GU Yi-lu1, 2，PEI Jing-cheng1, 2*，ZHANG Yu-hui1, 2，YIN Xi-yan1, 2，YU Min-da1, 2, LAI Xiao-jing1, 2. Gemological and Spectral Characterization of Yellowish Green Apatite From Mexico[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 181-187. |
| [3] |
SONG Yi-ming1, 2, SHEN Jian1, 2, LIU Chuan-yang1, 2, XIONG Qiu-ran1, 2, CHENG Cheng1, 2, CHAI Yi-di2, WANG Shi-feng2，WU Jing1, 2*. Fluorescence Quantum Yield and Fluorescence Lifetime of Indole, 3-Methylindole and L-Tryptophan[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3758-3762. |
| [4] |
YANG Ke-li1, 2, PENG Jiao-yu1, 2, DONG Ya-ping1, 2*, LIU Xin1, 2, LI Wu1, 3, LIU Hai-ning1, 3. Spectroscopic Characterization of Dissolved Organic Matter Isolated From Solar Pond[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3775-3780. |
| [5] |
JIA Yu-ge1, YANG Ming-xing1, 2*, YOU Bo-ya1, YU Ke-ye1. Gemological and Spectroscopic Identification Characteristics of Frozen Jelly-Filled Turquoise and Its Raw Material[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2974-2982. |
| [6] |
YANG Xin1, 2, XIA Min1, 2, YE Yin1, 2*, WANG Jing1, 2. Spatiotemporal Distribution Characteristics of Dissolved Organic Matter Spectrum in the Agricultural Watershed of Dianbu River[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2983-2988. |
| [7] |
ZHU Yan-ping1, CUI Chuan-jin1*, CHENG Peng-fei1, 2, PAN Jin-yan1, SU Hao1, 2, ZHANG Yi1. Measurement of Oil Pollutants by Three-Dimensional Fluorescence
Spectroscopy Combined With BP Neural Network and SWATLD[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2467-2475. |
| [8] |
ZHANG Zi-hao1, GUO Fei3, 4, WU Kun-ze1, YANG Xin-yu2, XU Zhen1*. Performance Evaluation of the Deep Forest 2021 (DF21) Model in
Retrieving Soil Cadmium Concentration Using Hyperspectral Data[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2638-2643. |
| [9] |
QIU Cun-pu1, 2, TANG Xiao-xue2, WEN Xi-xian4, MA Xin-ling2, 3, XIA Ming-ming2, 3, LI Zhong-pei2, 3, WU Meng2, 3, LI Gui-long2, 3, LIU Kai2, 3, LIU Kai-li4, LIU Ming2, 3*. Effects of Calcium Salts on the Decomposition Process of Straw and the Characteristics of Three-Dimensional Excitation-Emission Matrices of the Dissolved Organic Matter in Decomposition Products[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2301-2307. |
| [10] |
SHI Chuan-qi1, LI Yan2, HU Yu3, YU Shao-peng1*, JIN Liang2, CHEN Mei-ru1. Fluorescence Spectral Characteristics of Soil Dissolved Organic Matter in the River Wetland of Northern Cold Region, China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1517-1523. |
| [11] |
LI Yuan-jing1, 2, CHEN Cai-yun-fei1, 2, LI Li-ping1, 2*. Spectroscopy Study of γ-Ray Irradiated Gray Akoya Pearls[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1056-1062. |
| [12] |
LIU Xia-yan1, CAO Hao-xuan1, MIAO Chuang-he1, LI Li-jun2, ZHOU Hu1, LÜ Yi-zhong1*. Three-Dimensional Fluorescence Spectra of Dissolved Organic Matter in Fluvo-Aquic Soil Profile Under Long-Term Composting Treatment[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 674-684. |
| [13] |
LÜ Yang1, PEI Jing-cheng1*, ZHANG Yu-yang2. Chemical Composition and Spectra Characteristics of Hydrothermal Synthetic Sapphire[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3546-3551. |
| [14] |
ZHANG Yong-bin1, ZHU Dan-dan1, CHEN Ying1*, LIU Zhe1, DUAN Wei-liang1, LI Shao-hua2. Wavelength Selection Method of Algal Fluorescence Spectrum Based on Convex Point Extraction From Feature Region[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3031-3038. |
| [15] |
PAN Hong-wei, TONG Wen-bin, LEI Hong-jun*, YANG Guang, SHI Li-li. Spectral Analysis of the Effect of Organic Fertilizer Application on the
Evolution of Organic Matter and Nitrogen in Farmaland[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3116-3123. |
|
|
|
|
