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作 者:倪晓芳 戴纪龙 唐晓勇 NI Xiaofang;DAI Jilong;TANG Xiaoyong(Shanghai Research Institute of Chemical Industry Co.,Ltd.,Shanghai 200062,China;Shanghai Institute of Chemical Industry Environmental Engineering Co.,Ltd.,Shanghai 200062,China;Quality Control and Technology Assessment Laboratory of Industrial(Soil Remediation)Product,Shanghai 200062,China)
机构地区:[1]上海化工研究院有限公司,上海200062 [2]上海化工院环境工程有限公司,上海200062 [3]工业〔土壤污染修复〕产品质量控制和技术评价实验室,上海200062
出 处:《肥料与健康》2024年第4期60-66,共7页Fertilizer & Health
基 金:国家重点研发计划(2020YFC1807300)。
摘 要:水体重金属污染会对人体健康和生态环境造成危害,实现水体中重金属含量的快速检测是消除重金属危害的关键环节之一。基于现有检测设备在水体重金属检测过程中存在传感信号基线漂移影响分析精度的问题,以及非对称重加权惩罚最小二乘(arPLS)算法存在无法满足基线高精度估计的缺陷,提出了一种双循环平滑参数自适应选择的基线校正(DC-arPLS)算法。DC-arPLS算法对于仿真信号基线拟合的均方根误差为3.44×10^(-8),优于arPLS算法的4.86×10^(-8)。实际信号基线校正应用结果表明:DC-arPLS算法用于真实光/电信号的基线校正,能满足高精度基线校正的要求,可对水体环境的保护提供一定的技术支持。Heavy metal pollution in water can pose threats to human health and the ecological environment.Rapid detection of heavy metal content in water is one of the key steps in eliminating heavy metal hazards.Based on the problem of baseline drift of sensing signals affecting the accuracy of analysis in heavy metal detection in water using existing detection equipment,and the limitation of the asymmetrically reweighted penalized least squares(arPLS)algorithm that cannot meet high-precision baseline estimation,a dual cycle smooth parameter adaptive selection baseline correction(DC-arPLS)algorithm is proposed.The root mean square error of DC-arPLS algorithm for simulating signal baseline fitting is 3.44×10^(-8),which is better than arPLS′s algorithm 4.86×10^(-8).The application results of actual signal baseline correction show that DC-arPLS algorithm for baseline correction of real optical/electrical signals can meet the requirements of high-precision baseline correction and provide certain technical support for the protection of water environmental.
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