基于激光光谱技术的环境污染成分检测分析

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英文篇名：Detection and analysis of environmental pollution components based on laser spectroscopy 作者：刘冲 ; 王旭光 ; 赵起超 英文作者：LIU Chong;WANG Xuguang;ZHAO Qichao;Langfang Teachers University,Chemistry and Materials Science Institute;Langfang Environmental Protection Bureau Environmental Monitoring Station;Hebei Collaborative Innovation Center of Remote Sensing Information Processing and Application,North China Institute of Aerospace Engineering; 关键词：激光光谱技术 ; 环境污染 ; 成分分析 ; 检测精度 英文关键词：laser spectroscopy;;environmental pollution;;component analysis;;detection accuracy 中文刊名：JGZZ 英文刊名：Laser Journal 机构：廊坊师范学院化学与材料科学学院;廊坊市环境保护局环境监测站;北华航天工业学院河北省航天遥感信息处理与应用协同创新中心; 出版日期：2019-07-25 出版单位：激光杂志 年：2019 期：v.40;No.262 基金：河北省教育厅青年项目(No.QN2016116) 语种：中文; 页：JGZZ201907009 页数：4 CN：07 ISSN：50-1085/TN 分类号：39-42

摘要

环境污染严重影响人们的生活质量,针对当前环境污染成分检测误差大、检测效率低等难题,以提高环境污染成分检测精度为目标,设计了基于激光光谱技术的环境污染成分检测方法。首先对当前环境污染成分检测的研究进展进行分析,找到检测各种方法存在不足的原因,然后采用激光光谱技术对环境污染物吸收光谱数据进行收集,并从吸收光谱数据提取各成分的特征,最后采用数据挖掘技术分析特征与环境污染物成分之间的变化关系,建立环境污染成分检测模型,并与其它环境污染成分检测方法进行了对比测试。结果表明,本文方法可以拟合环境污染成分的变化特点,提高了环境污染成分检测精度,不仅环境污染成分检测误差小于其它环境污染成分检测方法,而且环境污染成分检测时间更短,可适用于环境污染成分的在线检测。
        Environmental pollution seriously affects people's quality of life. Aiming at the problems of large error and detection efficiency of environmental pollution components,a detection method of environmental pollution components based on laser spectroscopy technology is designed to improve the detection accuracy of environmental pollution components. Firstly,the research progress of environmental pollution component detection is analyzed,and the reasons for the shortcomings of various methods are found. Then the absorption spectrum data of environmental pollutants are collected by laser spectroscopy technology,and the characteristics of each component are extracted from the absorption spectrum data. Then,the relationship between the characteristics and the components of environmental pollutants is analyzed by data mining technology,and the environmental pollution detection model is established. Component detection model was tested and compared with othermethods. The results show that this method can fit the changing characteristics of environmental pollution components,improve the detection accuracy of environmental pollution components,the detection error of environmental pollution components is less than other methods of environmental pollution components detection,and the detection time of environmental pollution components is shorter,so it can be applied to online detection of environmental pollution components.

引文

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