在 ALPACA-2022 期间使用低成本传感器测量北极冬季边界层痕量气体(CO、O3、NO、NO2)的垂直剖面和表面分布情况

IF 3.2 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Brice Barret, Patrice Medina, Natalie Brett, Roman Pohorsky, Kathy Law, Slimane Bekki, Gilberto J. Fochesatto, Julia Schmale, Steve Arnold, Andrea Baccarini, Mauricio Busetto, Meeta Cesler-Maloney, Barbara D'Anna, Stefano Decesari, Jingqiu Maoe, Gianluca Pappaccogli, Joel Savarino, Federico Scoto, William R. Simpson
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引用次数: 0

摘要

摘要2022 年 1 月至 2 月在阿拉斯加费尔班克斯进行的阿拉斯加分层污染和化学分析(ALPACA)现场实验中,使用电化学气体传感器(EGS)测量了冬季北极边界层中痕量气体的表面分布和垂直剖面。安装了一氧化碳、一氧化氮、二氧化氮和臭氧 EGS 的 MICRO 气体测量传感器 (MICROMEGAS) 仪器在费尔班克斯市中心的室外参考点进行了地面校准,在穿梭于城市及其周边地区的车辆上进行了校准,并在城市边缘的系留气球 Helikite 上进行了校准。为了校准测量结果,测试了一系列机器学习(ML)校准方法。对于每种方法,都使用市中心站点的 MICROMEGAS 和参考分析仪测量值进行学习和预测。对于一氧化碳,制造商提供的校准参数使 EGS 与参考分析仪之间的一致性最佳,无需使用 ML 方法进行校准。相关系数 R 为 0.82,MICROMEGAS 与参考数据的线性回归斜率为 1.12。平均偏差不大,但均方根误差(290 ppbv)相当大,因为费尔班克斯市中心的一氧化碳浓度高达数百万分之几。对于 NO、NO2 和 O3,人工神经网络多层感知器的预测数据集获得了最好的一致性。对于这三种气体,相关系数高于 0.95,与参考数据的线性回归斜率在 0.93-1.04 之间。二氧化氮、臭氧和氮氧化物的平均偏差分别为 1±3 ppbv、0±4 ppbv 和 3±12 ppbv,并不显著。本文介绍了 1 月 21 日汽车巡回测量的结果,以突出 MICROMEGAS 对费尔班克斯及周边山地目标痕量气体地表变化进行量化的能力。MICROMEGAS 共飞行了 11 次,从地面一直飞到位于城市边缘的 Helikite 上最高 350 米的高度。对 Helikite MICROMEGAS 数据集进行的统计显示,垂直气体剖面的中值具有混合比几乎恒定的特点。一氧化碳、一氧化氮、二氧化氮和臭氧的垂直中值分别为 140、8、4 和 32 ppbv。O3 的最低值(第 5 百分位数)为 5 ppbv,而 NO2 的最高值(第 95 百分位数)为 40 ppbv,出现在 200 m a.g.l 附近。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vertical profiles and surface distributions of trace gases (CO, O3, NO, NO2) in the Arctic wintertime boundary layer using low-cost sensors during ALPACA-2022
Abstract. Electrochemical gas sensors (EGSs) have been used to measure the surface distributions and vertical profiles of trace gases in the wintertime Arctic Boundary Layer during the Alaskan Layered Pollution and Chemical Analysis (ALPACA) field experiment in Fairbanks, Alaska in January–February 2022. The MICRO sensors for MEasurements of GASes (MICROMEGAS) instrument set up with CO, NO, NO2 and O3 EGSs was operated on the ground at an outdoor reference site downtown Fairbanks for calibration, onboard a vehicle moving through the city and its surroundings and onboard a tethered balloon, the Helikite, at a site at the edge of the city. To calibrate the measurements, a set of machine learning (ML) calibration methods were tested. For each method, learning and prediction were performed with coincident MICROMEGAS and reference analyser measurements at the downtown site. For CO, the calibration parameters provided by the manufacturer led to the best agreement between the EGS and the reference analyser and no ML method was needed for calibration. The correlation coefficient R is 0.82 and the slope of the linear regression between MICROMEGAS and reference data is 1.12. The mean bias is not significant but the Root Mean Square Error (290 ppbv) is rather large because of CO concentrations reaching several ppmv downtown Fairbanks. For NO, NO2 and O3, the best agreements for the prediction datasets were obtained with an artificial neural network, the Multi-Layer Perceptron. For these 3 gases, the correlation coefficients are higher than 0.95 and the slopes of linear regressions with the reference data are in the range 0.93–1.04. The mean biases which are 1±3 ppbv, 0±4 ppbv and 3±12 ppbv for NO2, O3 and NO respectively are not significant. Measurements from the car round of January 21 are presented to highlight the ability of MICROMEGAS to quantify the surface variability of the target trace gases in Fairbanks and the surrounding hills. MICROMEGAS flew 11 times from the ground up to a maximum of 350 m a.g.l. onboard the Helikite at the site at the edge of the city. The statistics performed over the Helikite MICROMEGAS dataset show that the median vertical gas profiles are characterised by almost constant mixing ratios. The median values over the vertical are 140, 8, 4 and 32 ppbv for CO, NO, NO2 and O3. Extreme values are detected with low O3 and high NO2 and NO concentrations between 100 and 150 m a.g.l. O3 minimum levels (5th percentile) of 5 ppbv coincident with NO2 maximum levels (95th percentile) of 40 ppbv occur around 200 m a.g.l. The peaks aloft are linked to pollution plumes originating from Fairbanks power plants such as documented with the flight of February 20.
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来源期刊
Atmospheric Measurement Techniques
Atmospheric Measurement Techniques METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
7.10
自引率
18.40%
发文量
331
审稿时长
3 months
期刊介绍: Atmospheric Measurement Techniques (AMT) is an international scientific journal dedicated to the publication and discussion of advances in remote sensing, in-situ and laboratory measurement techniques for the constituents and properties of the Earth’s atmosphere. The main subject areas comprise the development, intercomparison and validation of measurement instruments and techniques of data processing and information retrieval for gases, aerosols, and clouds. The manuscript types considered for peer-reviewed publication are research articles, review articles, and commentaries.
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