使用 Figaro Taguchi 气体传感器 2611-C00 和风向测量值确定垃圾填埋场的甲烷摩尔分数†。

IF 2.8 Q3 ENVIRONMENTAL SCIENCES Environmental science: atmospheres Pub Date : 2024-02-26 DOI:10.1039/D3EA00138E
Adil Shah, Olivier Laurent, Grégoire Broquet, Carole Philippon, Pramod Kumar, Elisa Allegrini and Philippe Ciais
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引用次数: 0

摘要

为了减少全球甲烷预算的不确定性,需要自上而下(基于大气测量)测量各个排放设施的甲烷通量。这通常需要原位甲烷摩尔分数([CH4]),传统上使用高精度光学传感器进行测量。我们的研究表明,基于半导体的 Figaro Taguchi 气体传感器(TGS)是一种成本更低的替代方法。我们在垃圾填埋场附近部署了两个 TGS 记录器。记录仪-1 使用泵送单元,包含一个 TGS 2602、两个 TGS 2611-C00 和一个 TGS 2611-E00;实验室测试表明,每个 TGS 对甲烷、乙烷、一氧化碳和硫化氢都很敏感。记录仪-2 使用外部风扇,包含一个 TGS 2611-C00。测试的 TGS 2611-C00 和 TGS 2611-E00 装置可在垃圾填埋场部署期间产生 [CH4],方法是首先模拟实地条件下的参考基线电阻,代表背景(参考)[CH4] 采样。利用指定背景区段的风向确定背景采样,从而得出与时间(包含长期背景影响)、水分子分数和温度相关的基线电阻模型。测量到的 TGS 阻力与模拟的基线阻力之间的比值通过两期修正功率拟合转换为 [CH4]。记录仪-1 甲烷拟合系数是在实验室测试期间得出的,而记录仪-2 系数则使用了 1.49% 的野外采样子集和高精度参考 (HPR) 仪器。TGS 2611-C00 的重建记录仪-2 分钟平均[CH4]与高精度参考仪器进行了比较,最高为 31.5 ppm [CH4](不包括[CH4]拟合数据),结果为±0.55 ppm [CH4]均方根误差(RMSE),总采样天数为 295.2 天(不包括数据间隙)。与 HPR 相比,两个 TGS 2611-C00 和 TGS 2611-E00 的重建测井仪-1 [CH4] 均方根误差分别为 ±0.67 ppm 和 ±0.77 ppm,TGS 2611-E00 为 ±1.17 ppm,总采样天数为 147.9 天,高达 29.3 ppm [CH4]。实验室测试表明 TGS 2611-C00 对甲烷的敏感度最高,这也证明了现场 TGS 2611-C00 优于其他 Logger-1 传感器。总之,我们发现 TGS 2611-C00 是一种理想的低成本传感器,可用于测量设施规模来源的 [CH4],现场均方根误差低于 ±1 ppm。这项工作是首次利用动态基线电阻模型,将 TGS 电阻比应用于百万分之一级别的[CH4]现场测量。
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Determining methane mole fraction at a landfill site using the Figaro Taguchi gas sensor 2611-C00 and wind direction measurements†

Top-down (atmospheric measurement-based) methane fluxes from individual emitting facilities are needed to reduce uncertainties in the global methane budget. This typically requires in situ methane mole fraction ([CH4]), traditionally measured using high-precision optical sensors. We show that the semiconductor-based Figaro Taguchi Gas Sensor (TGS) is a cheaper alternative. Two TGS loggers were deployed near a landfill site. Logger-1 uses a pumped cell, containing one TGS 2602, two TGS 2611-C00 and one TGS 2611-E00; laboratory testing showed methane, ethane, carbon monoxide and hydrogen sulphide sensitivity for each TGS. Logger-2 uses an external fan, containing one TGS 2611-C00. The tested TGS 2611-C00 and TGS 2611-E00 units could yield [CH4] during landfill deployment, by first modelling a reference baseline resistance in field conditions, representative of background (reference) [CH4] sampling. Background sampling was identified using wind direction from a designated background segment, which yielded a baseline resistance model as a function of time (incorporating long-term background effects), water mole fraction and temperature. The ratio between measured TGS resistance and modelled baseline resistance was converted into [CH4], using a two-term modified power fit. Logger-1 methane fitting coefficients were derived during laboratory testing, while Logger-2 coefficients used a 1.49% field sampling subset, alongside a high-precision reference (HPR) instrument. Reconstructed minute-averaged Logger-2 [CH4] for TGS 2611-C00 was compared to the HPR up to 31.5 ppm [CH4] (excluding [CH4] fitting data), resulting in a ±0.55 ppm [CH4] root-mean squared error (RMSE), for 295.2 overall sampling days (excluding data gaps). Reconstructed Logger-1 [CH4] RMSE compared to the HPR was ±0.67 ppm and ±0.77 ppm for the two TGS 2611-C00 and ±1.17 ppm for the TGS 2611-E00, up to 29.3 ppm [CH4], for 147.9 overall sampling days. Field TGS 2611-C00 superiority above other Logger-1 sensors is supported by laboratory tests, which showed TGS 2611-C00 to be most methane-sensitive. In summary, we show that the TGS 2611-C00 is an ideal low-cost sensor to measure [CH4] from facility-scale sources, with a field RMSE below ±1 ppm. This work represents the first application of TGS resistance ratios to yield parts-per-million level [CH4] field measurements, using a dynamic baseline resistance model.

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