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GA-BP模型在大气微站数据修正中的应用
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作者 闫续 张国城 +5 位作者 冯端 沈上圯 杨振琪 董谋 赵红达 刘晨照 《计量科学与技术》 2024年第1期24-30,共7页
针对大气微站中的电化学气体传感器选择性不足,容易受到非目标气体交叉干扰的问题,提出使用遗传算法(GA)优化的反向传播(BP)神经网络模型(GA-BP模型)对微站进行数据修正的方法。GA-BP模型在善于处理非线性黑箱问题的BP神经网络模型的基... 针对大气微站中的电化学气体传感器选择性不足,容易受到非目标气体交叉干扰的问题,提出使用遗传算法(GA)优化的反向传播(BP)神经网络模型(GA-BP模型)对微站进行数据修正的方法。GA-BP模型在善于处理非线性黑箱问题的BP神经网络模型的基础上引入具有全局寻优能力的GA,通过GA对神经网络的初始参数进行优化,弥补了BP神经网络容易陷入局部极小值的缺陷,提升了模型整体的精度和稳定性。实验结果表明,经过GA-BP模型修正后的微站可以实现对混合气体中的NO_(2)、CO、O_(3)和SO_(2)的准确定量分析,4种气体浓度的计算值和实测值之间的拟合优度(R2)均超过了0.95,与一元、多元线性回归和传统的BP神经网络相比,修正效果优势明显。此外,GA-BP模型还具有良好的泛化能力,将未参与训练的微站数据带入其中,得到的4种气体浓度计算值和实测值之间的R2值也均在0.88以上,证明了本方法具有很好的适用性,可以为厂家提升设备性能以及使用者得到准确的空气污染物的浓度数据提供有益的参考。 展开更多
关键词 计量学 大气微站 遗传算法 BP神经网络 电化学传感器 气体交叉干扰
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Surface Trace Gases at a Rural Site between the Megacities of Beijing and Tianjin 被引量:1
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作者 RAN Liang LIN Wei-Li +1 位作者 WANG Pu-Cai DENG Zhao-Ze 《Atmospheric and Oceanic Science Letters》 CSCD 2014年第3期230-235,共6页
The North China Plain(NCP) has recently faced serious air quality problems as a result of enhanced gas pollutant emissions due to the process of urbanization and rapid economic growth.To explore regional air pollution... The North China Plain(NCP) has recently faced serious air quality problems as a result of enhanced gas pollutant emissions due to the process of urbanization and rapid economic growth.To explore regional air pollution in the NCP,measurements of surface ozone(O3),nitrogen oxides(NOx),and sulfur dioxide(SO2) were carried out from May to November 2013 at a rural site(Xianghe) between the twin megacities of Beijing and Tianjin.The highest hourly ozone average was close to 240 ppbv in May,followed by around 160 ppbv in June and July.High ozone episodes were more notable than in 2005 and were mainly associated with air parcels from the city cluster in the hinterland of the polluted NCP to the southwest of the site.For NOx,an important ozone precursor,the concentrations ranged from several ppbv to nearly 180 ppbv in the summer and over 400 ppbv in the fall.The occurrence of high NOx concentrations under calm conditions indicated that local emissions were dominant in Xianghe.The double-peak diurnal pattern found in NOxconcentrations and NO/NOx ratios was probably shaped by local emissions,photochemical removal,and dilution resulting from diurnal variations of surface wind speed and the boundary layer height.A pronounced SO2 daytime peak was noted and attributed to downward mixing from an SO2-rich layer above,while the SO2-polluted air mass transported from possible emission sources,which differed between the non-heating(September and October) and heating(November) periods,was thought to be responsible for night-time high concentrations. 展开更多
关键词 ozonenitrogen oxidessulfur dioxideNorth China PLAIN
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