光谱学与光谱分析 |
|
|
|
|
|
Research on Signal Processing for Water Quality Monitoring Based on Continuous Spectral Analysis |
WEI Kang-lin1, 2, CHEN Ming1*, WEN Zhi-yu2, XIE Yin-ke2 |
1. Department of Electronic and Communication Engineering System, College of Computer and Information, China Three Gorges University, Yichang 443002, China 2. National Key Laboratory of Fundamental Science of Micro/Nano-Devices and System Technology, Chongqing University, Chongqing 400044, China |
|
|
Abstract Based on continuous spectrum analysis, the mathematical model for spectrum signal was established. And the spectrum signal’s systematic error processing method based on the invariance of the ratio of the light intensities at any two wavelengths in the range of continuous spectrum was put forward. Combined with wavelet multi-resolution filtering noise processing techniques, the background interference processing method was established based on the spectral characteristics of the measured water quality parameter. These signal processing methods were applied to our independently developed multi-parameter water quality monitoring instrument to on-line measure COD (chemical oxygen demand), six valence chromium and anionic surfactant in the normative and actual environmental water samples, and the monitoring instrument had good repeatability (10%) and high accuracy (±10%) to meet the technical requirements of national environmental protection standards, which was verified by the contrast experiment with China national standard analysis method for determination of the three water quality parameter. The results showed that the researched signal processing methods were able to effectively reduce the spectrum signal’s systematic error and the interference from noise and background, which was very important to improve the water quality monitoring instrument’s technical function.
|
Received: 2013-07-09
Accepted: 2013-12-05
|
|
Corresponding Authors:
CHEN Ming
E-mail: chenming131@163.com
|
|
[1] Michael V Storey. Water Research, 2011, 45(2): 741. [2] YANG Chang-hu,ZENG Xiao-ying, YUAN Jian-hui, et al(杨昌虎,曾晓英,袁剑辉,等). Chinese Journal of Lasers(中国激光), 2008, 35(8): 1169. [3] Schaffelke B, Carleton J, Skuza M, et al. Mar. Pollut. Bull., 2012, 65(9): 249. [4] Entry J A. Environ. Monit. Assess., 2013, 185(2): 1985. [5] WANG Shu-tao, CHE Ren-sheng(王书涛,车仁生). Opto-Electronic Engineering(光电工程),2006, 33(1): 112. [6] WEI Kang-lin, WEN Zhi-yu, GUO Jian, et al(魏康林,温志渝,郭 建,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2012, 32(7): 2009. [7] The People’s Republic of China Environmental Protection Industry Standard HJ/T355—2007,Technical Specifications for the Operation and Assessment of Wastewater on-line Monitoring System(中华人民共和国环境保护行业标准:水污染源在线监测系统运行与考核技术规范),2007. [8] JIN Hai-long, WANG Yu-tian(金海龙,王玉田). Chinese Journal of Sensors and Actuators(传感技术学报),2006, 19(1): 97. [9] CHU Yan-ping, ZHANG Jing-chao, GUAN Li-jun(褚衍平, 张景超, 管立君). Laser & Infrared(激光与红外),2008, 38(7): 684. [10] Mike Sadar, CHENG Li(Mike Sadar, 程 立). Precise Detection Technology of Water Turbidity(水浊度精确检测技术). Beijing: China Building Industry Press(北京:中国建筑工业出版社),2008. [11] ZHANG Dan, YANG Zhang-you, ZENG Yi-ping(张 丹, 阳章友, 曾一平). Henan Chemical Industry(河南化工),2010, 27(2):7. [12] Zarei Mahmoodabadi S, Alirezaie J, Babyn P, et al. Fuzzy Sets and Systems, 2010, 161(1): 75. [13] Carlos Arizmendi. Alfredo Vellido, Enrique Romero. Expert Syst. Appl., 2012, 39(5): 5223. [14] Jahan B Ghasemi, Ali R Jalalvand. Spectrochimica Acta Part A, 2011, 78(1): 277. [15] The People’s Republic of China National Standard GB3838—2002, Environmental Quality Standards for Surface Water(中华人民共和国国家标准:地表水环境质量标准),2002. [16] The People’s Republic of China Environmental Protection Industry Standard HJ/T399—2007, Water Quality-Determination of the Chemical Oxygen Demand-Fast Digestion-Spectrophotometric Method(中华人民共和国环境保护行业标准:水质 化学需氧量的测定 快速消解分光光度法),2007. [17] The People’s Republic of China National Standard GB7467—87, Water-Quality-Determination of Chromium(Ⅵ)-Diphenylcarbazide Spectrophotometric Method(中华人民共和国国家标准:水质 六价铬的测定二苯碳酰二肼分光光度法),1987. [18] The People’s Republic of China National Standard GB7494—87, Water-Quality-Determination of Anionic Surfactants-Methylene Blue Spectrophotometric Method(中华人民共和国环境保护行业标准:水质 阴离子表面活性剂的测定 亚甲蓝分光光度法),1987. |
[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] |
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. |
[5] |
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. |
[6] |
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. |
[7] |
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. |
[8] |
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. |
[9] |
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. |
[10] |
WANG Jun-jie1, YUAN Xi-ping2, 3, GAN Shu1, 2*, HU Lin1, ZHAO Hai-long1. Hyperspectral Identification Method of Typical Sedimentary Rocks in Lufeng Dinosaur Valley[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2855-2861. |
[11] |
WANG Jing-yong1, XIE Sa-sa2, 3, GAI Jing-yao1*, WANG Zi-ting2, 3*. Hyperspectral Prediction Model of Chlorophyll Content in Sugarcane Leaves Under Stress of Mosaic[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2885-2893. |
[12] |
WANG Yu-qi, LI Bin, ZHU Ming-wang, LIU Yan-de*. Optimizations of Sample and Wavelength for Apple Brix Prediction Model Based on LASSOLars Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1419-1425. |
[13] |
LI Shuai-wei1, WEI Qi1, QIU Xuan-bing1*, LI Chuan-liang1, LI Jie2, CHEN Ting-ting2. Research on Low-Cost Multi-Spectral Quantum Dots SARS-Cov-2 IgM and IgG Antibody Quantitative Device[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1012-1016. |
[14] |
JIN Cui1, 4, GUO Hong1*, YU Hai-kuan2, LI Bo3, YANG Jian-du3, ZHANG Yao1. Spectral Analysis of the Techniques and Materials Used to Make Murals
——a Case Study of the Murals in Huapen Guandi Temple in Yanqing District, Beijing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1147-1154. |
[15] |
DING Kun-yan1, HE Chang-tao2, LIU Zhi-gang2*, XIAO Jing1, FENG Guo-ying1, ZHOU Kai-nan3, XIE Na3, HAN Jing-hua1. Research on Particulate Contamination Induced Laser Damage of Optical Material Based on Integrated Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1234-1241. |
|
|
|
|