滤膜形变对β射线衰减法颗粒物质量浓度监测结果准确性的影响及修正
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摘要
为解决固定污染源颗粒物排放连续监测过程中单一光散射法因仪器漂移和光学窗口易污染等而造成的频繁人工标定问题,实现光散射与β射线衰减联用法的颗粒物质量浓度连续在线监测系统的自动标定技术,通过研究负压作用下滤膜形变对β射线衰减法颗粒物质量浓度监测结果准确性的影响,在提出厚度影响因子的计算方法基础上完成了对原颗粒物质量浓度计算公式的修正。实验结果表明,与标准称重法相比,修正后的平均相对误差由原来的8%下降为3%,在相关性系数达到0. 988的同时,截距从4. 935 4降低为1. 012 7,进一步提高了β射线衰减法在低浓度环境下的测量精度。
In order to solve the problem of frequent manual calibration during the continuous monitoring of the emission of particulate matter from fixed pollution sources,which caused by single light scattering method due to instrument drift and easy pollution of optical window,and to realize automatic calibration technology of continuous emission monitoring system on mass concentration of particulate matter combined with light scattering and β-ray attenuation,the effect of filter membrane deformation under negative pressure on the accuracy of monitoring results mass concentration of particulate by β-ray attenuation method was studied,on the basis of the calculation method of thickness influence factor,the correction of the calculation formula of original particle mass concentration was completed. The experiment shows that,compared with the standard weighting method,the average relative error of the revised formula decreases from 8% to 3%,while the correlation coefficient reaches to0. 988,the intercept decreases from 4. 935 4 to 1. 012 7,which further improves the accuracy of the β-ray attenuation method for monitoring particle concentration in low concentration environment.
In order to solve the problem of frequent manual calibration during the continuous monitoring of the emission of particulate matter from fixed pollution sources,which caused by single light scattering method due to instrument drift and easy pollution of optical window,and to realize automatic calibration technology of continuous emission monitoring system on mass concentration of particulate matter combined with light scattering and β-ray attenuation,the effect of filter membrane deformation under negative pressure on the accuracy of monitoring results mass concentration of particulate by β-ray attenuation method was studied,on the basis of the calculation method of thickness influence factor,the correction of the calculation formula of original particle mass concentration was completed. The experiment shows that,compared with the standard weighting method,the average relative error of the revised formula decreases from 8% to 3%,while the correlation coefficient reaches to0. 988,the intercept decreases from 4. 935 4 to 1. 012 7,which further improves the accuracy of the β-ray attenuation method for monitoring particle concentration in low concentration environment.
引文
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[18]李黎,银仁莉,余海洋,等.不同采样膜对大气颗粒物酸性测定影响的研究[J].环境科学学报,2012,32(9):2210-2215.
[19]孟晓艳,杜丽,王晓彦,等.不同采样膜对PM2. 5质量浓度测定影响研究[J].环境与可持续发展,2013(5):22-25.
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[22]刘军,冯艳君.基于β射线吸收法的可吸入颗粒物检测仪[J].仪表技术与传感器,2011(9):39-40.
[2]李征真.便携式PM2. 5检测仪切割器的设计与验证[J].矿业安全与环保,2015,42(2):32-34.
[3] CHIANG C T. Design of a high-sensitivity ambient particulate matter 2. 5 particle detector for personal exposure monitoring devices[J]. Ieee Sensors Journal,2018,18(1):165-169.
[4]王强,钟琪,迟颖,等.环境空气PM10连续监测系统比对测试评价指标研究[J].环境污染与防治,2013,35(12):13-18.
[5]赵政.基于电荷感应法的金属粉尘浓度检测技术[J].煤炭科学技术,2017,45(12):155-159.
[6] COOMBES J R,YAN Y. Measurement of velocity and concentration profiles of pneumatically conveyed particles using an electrostatic sensor array[J]. IEEE Transactions on Instrumentation&Measurement,2016,65(5):1139-1148.
[7]刘国庆.基于光学的无动力粉尘浓度检测技术[J].矿业安全与环保,2017,44(3):29-32.
[8]王永敏,高健,徐仲均,等.光散射法与β射线衰减—光散射联用法颗粒物在线测量方法对比[J].环境科学研究,2017,30(3):433-443.
[9] TITOS G,CAZORLA A,ZIEGER P,et al. Effect of hygroscopic growth on the aerosol light-scattering coefficient:a review of measurements,techniques and error sources[J]. Atmospheric Environment,2016,141:494-507.
[10]刘丹丹,曹亚迪,汤春瑞,等.基于测量窗口气鞘多相流分析的粉尘质量浓度测量装置优化[J].煤炭学报,2017,42(7):1906-1911.
[11]李世航,李建龙,周福宝.煤尘含水率对测尘仪测量结果的影响研究[J].矿业安全与环保,2016,43(2):26-29.
[12] WINKEL A,LIORENSRUBIO J,HUIS IN’T VELD J W H,et al. Equivalence testing of filter-based,betaattenuation,TEOM,and light-scattering devices for measurement of PM10 concentration in animal houses[J].Journal of Aerosol Science,2015,80:11-26.
[13] JEREZ S B, ZHANG Y, MCCLURE J W, et al.Comparison of measured total suspended particulate matter concentrations using tapered element oscillating microbalance and a total suspended particulate sampler[J].Air Repair,2006,56(3):261-270.
[14]陆钒,刘建国,陆亦怀,等.基于振荡天平技术的大气颗粒物PM10浓度连续监测系统设计[J].大气与环境光学学报,2007,2(5):361-365.
[15]梁艳,张增福,陈文亮,等.基于β射线法的新型PM2. 5自动监测系统研究[J].传感技术学报,2014(10):1418-1422.
[16] TAKAHASHI K, MINOURA H, SAKAMOTO K.Examination of discrepancies between beta-attenuation and gravimetric methods for the monitoring of particulate matter[J]. Atmospheric Environment,2008,42(21):5232-5240.
[17]田世丽,潘月鹏,刘子锐,等.不同材质滤膜测量大气颗粒物质量浓度和化学组分的适用性——以安德森分级采样器为例[J].中国环境科学,2014,34(4):817-826.
[18]李黎,银仁莉,余海洋,等.不同采样膜对大气颗粒物酸性测定影响的研究[J].环境科学学报,2012,32(9):2210-2215.
[19]孟晓艳,杜丽,王晓彦,等.不同采样膜对PM2. 5质量浓度测定影响研究[J].环境与可持续发展,2013(5):22-25.
[20] CHUEINTA W,HOPKE P K. Beta gauge for aerosol mass measurement[J]. Aerosol Science&Technology,2001,35(4):840-843.
[21]吴佳涛,陈文亮,张增福.基于β射线技术测量PM 2. 5的准确性研究[J].安全与环境学报,2016,16(2):338-342.
[22]刘军,冯艳君.基于β射线吸收法的可吸入颗粒物检测仪[J].仪表技术与传感器,2011(9):39-40.
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