基于光谱分析的多参数水质监测与预警系统研究
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摘要
光谱水质监测技术是在线水质监测领域的重要发展方向。针对水质监测技术领域基于"单色光源+单管探测器"的"点对点式"水质监测仪器难以满足"智慧水务、水利"发展要求的技术现状。以微型光谱仪为核心,基于连续光谱分析二次开发多参数水质监测与预警系统的理论与实现方法,研制出基于"微型光谱仪连续光谱分析"的多参数水质监测与预警系统样机。应用测试验证了样机的"样品化学前处理型"光谱水质监测、"智能算法型"快速光谱水质监测、"三维光谱分析"水质监测与预警三大功能。试验结果表明,重点水质参数监测的准确度(10%)、重复性(10%)等关键技术指标满足环境保护相关技术标准要求。该研究对多参数光谱水质监测与预警这一新型水质监测仪器的产业化具有重要的理论与技术参考价值。
Spectral water quality monitoring technology is an important development direction in the field of online water quality monitoring. Aiming at the current technology status that the point to point spectral water quality monitoring instrument based on monochromatic light source and single tube detector is not able to meet the requirement of intelligent water affairs and conservancy,with micro-spectrometer as the core,based on theory and implementation method of secondary development multiparameter water quality monitoring and early warning system based on continuous spectrum analysis,the multi-parameter water quality monitoring and early warning system prototype based on "continuous spectrum analysis of micro-spectrometer" is developed. Three of the functions of the prototype,i. e.,"sample chemical pretreatment type"spectral water quality monitoring;"intelligent algorithm type"fast spectral water quality monitoring; and "three-dimensional spectral analysis"water quality monitoring and early warning,have been verified by application tests,and the results show that key technical indexes of system,such as repeatability( 10%) and accuracy( ± 10%) meet technical requirements of environmental protection standards. The research has important theoretical and technical reference value for the industrialization of multi-parameter spectral water quality monitoring and early warning,which is a new type of water quality monitoring instrument.
Spectral water quality monitoring technology is an important development direction in the field of online water quality monitoring. Aiming at the current technology status that the point to point spectral water quality monitoring instrument based on monochromatic light source and single tube detector is not able to meet the requirement of intelligent water affairs and conservancy,with micro-spectrometer as the core,based on theory and implementation method of secondary development multiparameter water quality monitoring and early warning system based on continuous spectrum analysis,the multi-parameter water quality monitoring and early warning system prototype based on "continuous spectrum analysis of micro-spectrometer" is developed. Three of the functions of the prototype,i. e.,"sample chemical pretreatment type"spectral water quality monitoring;"intelligent algorithm type"fast spectral water quality monitoring; and "three-dimensional spectral analysis"water quality monitoring and early warning,have been verified by application tests,and the results show that key technical indexes of system,such as repeatability( 10%) and accuracy( ± 10%) meet technical requirements of environmental protection standards. The research has important theoretical and technical reference value for the industrialization of multi-parameter spectral water quality monitoring and early warning,which is a new type of water quality monitoring instrument.
引文
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[16]国家环境保护总局.水污染源在线监测系统数据有效性判别技术规范:HJ/T 356-2007[S].北京:中国标准出版社,2007.
[17]国家环境保护总局.生活饮用水标准检验方法水质分析质量控制GB/T 5750. 3-2006[S].北京:中国标准出版社,2006.
[18]国家环境保护总局.地表水和污水监测技术规范:HJ/T 91-2002[S].北京:中国标准出版社,2002.
[19]魏康林,吕聪,周丰,等.基于“动态参比”的水质监测背景光谱测量信号消除方法研究[J].三峡大学学报(自然科学版),2018,40(4):83-85.
[20]魏康林,陈明,温志渝,等.基于连续光谱分析的在线水质检测信号处理研究[J].光谱学与光谱分析,2014,34(12):3368-3373.
[21]鲍灵利.概率密度的岭回归算法及水质高光谱预测研究[D].宜昌:三峡大学,2018.
[22]李超超.基于Lab VIEW的在线水质监测系统研究[D].宜昌:三峡大学,2018.
[2]国家环境保护局.水质六价铬的测定二苯碳酰二肼分光光度法:GB7464-87[S].北京:中国标准出版社,1987.
[3]国家环境保护部.水质氨氮的测定水杨酸分光光度法:HJ536-2009[S].北京:中国标准出版社,2009.
[4]国家环境保护局.水质化学需氧量的测定重铬酸盐法:GB11914-89[S].北京:中国标准出版社,1989.
[5]谢善斌.智慧水务信息化系统建设与实践[J].给水排水,2018,44(4):134-138.
[6]田雨,蒋云钟,杨明祥.基于智慧化依赖度的智慧水务建设分析模型[J].武汉大学学报(工学版),2014,47(6):761-765.
[7]杨明祥.智慧水务建设需求探析[J].清华大学学报(自然科学版),2014,54(1):134-137.
[8]魏康林.基于微型光谱仪的多参数水质检测仪关键技术研究[D].重庆:重庆大学,2012.
[9]曾甜玲.基于微型紫外光谱仪的水质监测系统关键技术研究[D].重庆:重庆大学,2013.
[10]HOU D,SONG X,ZHANG G,et al. An early warning and control system for urban,drinking water quality protection:China's experience[J]. Environmental Science&Pollution Research,2013,20(7):4496-4508.
[11]XIE Y,WEN Z,MO Z,et al. Implementation of an automatic and miniature on-line multi-parameter water quality monitoring system and experimental determination of chemical oxygen demand and ammonia-nitrogen[J]. Water Science&Technology A Journal of the International Association on Water Pollution Research,2016,73(3):697.
[12]ALILOU H,MOGHADDAM N A,KESHTKAR H,et al. A costeffective and efficient framework to determine water quality monitoring network locations[J]. Science of the Total Environment,2018,624:283-293.
[13]LOAICIGA H A,CHARBENEAU R J,EVERETT L G,et al. Review of Ground-Water Quality Monitoring Network Design[J]. Journal of Hydraulic Engineering,2016,118(1):11-37.
[14]LEPOT M,TORRES A,HOFER T,et al. Calibration of UV/Vis spectrophotometers:A review and comparison of different methods to estimate TSS and total and dissolved COD concentrations in sewers,WWTPs and rivers[J]. Water Research,2016,101:519-534.
[15]国家环境保护总局.城镇污水处理厂污染物排放标准:GB18918-2002[S].北京:中国标准出版社,2002.
[16]国家环境保护总局.水污染源在线监测系统数据有效性判别技术规范:HJ/T 356-2007[S].北京:中国标准出版社,2007.
[17]国家环境保护总局.生活饮用水标准检验方法水质分析质量控制GB/T 5750. 3-2006[S].北京:中国标准出版社,2006.
[18]国家环境保护总局.地表水和污水监测技术规范:HJ/T 91-2002[S].北京:中国标准出版社,2002.
[19]魏康林,吕聪,周丰,等.基于“动态参比”的水质监测背景光谱测量信号消除方法研究[J].三峡大学学报(自然科学版),2018,40(4):83-85.
[20]魏康林,陈明,温志渝,等.基于连续光谱分析的在线水质检测信号处理研究[J].光谱学与光谱分析,2014,34(12):3368-3373.
[21]鲍灵利.概率密度的岭回归算法及水质高光谱预测研究[D].宜昌:三峡大学,2018.
[22]李超超.基于Lab VIEW的在线水质监测系统研究[D].宜昌:三峡大学,2018.
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