研究目的
To investigate the performance of a quantum cascade laser (QCL) connected to a newly developed automated chamber system against a conventional gas chromatography (GC) approach for measuring the soil–atmosphere exchange of nitrous oxide (N2O) under different environmental conditions.
研究成果
The QCL system provided more precise and robust N2O flux measurements compared to the GC method, especially under high-flux conditions. Reducing chamber closure times to 10 min and applying linear regression to a 3 min data window were recommended for accurate flux determination. The GC method was still useful for determining mean N2O exchange over longer timescales.
研究不足
The study was limited to two field campaigns under specific environmental conditions. The GC method showed higher variability and standard errors compared to the QCL method, especially under low-flux conditions. The chamber system's performance under harsh winter conditions was not tested.
1:Experimental Design and Method Selection
The study compared N2O flux measurements using a QCL spectrometer and a GC system connected to the same automated chamber system. The QCL system provided high precision and time resolution data, enabling the application of exponential models for flux calculation.
2:Sample Selection and Data Sources
Two field campaigns were conducted at a grassland site in Braunschweig, Germany, and a willow field at Ris? Campus, Technical University of Denmark, to test the systems under low- and high-flux conditions.
3:List of Experimental Equipment and Materials
The chamber system included aluminum guiding racks, soil collars, opaque PVC chambers, an autosampler unit for GC analysis, and a QCL spectrometer. The GC system used a Shimadzu GC-2014, and the QCL system was a mini-QCLAS from Aerodyne Research Inc.
4:Experimental Procedures and Operational Workflow
Chambers were closed for 60 or 10 min for flux measurements. For GC, air samples were taken at 0, 20, 40, and 60 min after closure. The QCL system operated at a sampling frequency of 10 Hz.
5:Data Analysis Methods
Fluxes were calculated using linear, robust linear, and modified Hutchinson–Mosier regression (HMR) models. The QCL data allowed for the application of exponential models to account for nonlinearity in concentration changes.
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