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作 者:张文博[1] 许学慧 ZHANG Wenbo;XU Xuehui(Hetao College,Linhe Inner Mongolia 015000,China;Key Laboratory of Soil Quality and Nutrient Resources of Inner Mongolia Autonomous Region,College of Grassland,Resources and Environment,Inner Mongolia Agricultural University,Hohhot Inner Mongolia 010019,China)
机构地区:[1]河套学院,内蒙古临河015000 [2]内蒙古农业大学草原与资源环境学院内蒙古自治区土壤质量与养分资源重点实验室,呼和浩特010019
出 处:《激光杂志》2022年第4期60-64,共5页Laser Journal
基 金:内蒙古自治区教育厅自然科学一般项目(No.NJZY17376)。
摘 要:为了实现环境污染物成分的优化检测,提出基于偏振反射光谱和信息熵的环境污染物成分定量检测技术。采用偏振反射光谱检测方法实现对环境污染物成分的数据信息采集,将测试环境分为32个不同污染程度等级区域,结合环境污染物的指标评价体系,采用差异化评分方法,建立环境污染物成分的分布检测模型,通过偏振反射光谱特征分析的方法,结合回归分析,实现对环境污染物成分的偏振反射光谱特征检测,根据污染物排放浓度达标情况,采用环境污染物的浓度曲线分析,实现对环境污染物成分定量检测识别,检测的污染物成分主要有重金属、碳化合物、氮化合物等。测试表明,采用该方法进行环境污染物成分检测的准确性较高,归一化误差最小为0.018,均方根误差为0.155,检测评价效果较好。In order to optimize the detection of environmental pollutants, a quantitative detection technology of environmental pollutants based on polarized reflectance spectroscopy and information entropy is proposed. Polarization reflectance spectroscopy(PRS) was used to collect the data of environmental pollutants. The test environment was divided into 32 regions with different pollution levels. Combined with the index evaluation system of environmental pollutants, the differential scoring method was used to establish the distribution detection model of environmental pollutants. According to the standard of pollutant emission concentration, the concentration curve analysis of environmental pollutants is used to realize the quantitative detection and identification of environmental pollutants. The detected pollutants mainly include heavy metals, carbonates, nitrogen compounds and so on. The test results show that this method has high accuracy in the detection of environmental pollutants, the minimum normalized error is 0.018, the root mean square error is 0.155, and the detection and evaluation effect is good.
分 类 号:TN209[电子电信—物理电子学]
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