Developing a flow through chamber system for automated measurements of soil N 2 O and CO 2 emissions
作者： K.I. Kostyanovsky , D.R. Huggins , C.O. Stockle , S. Waldo , B. Lamb
DOI: 10.1016/J.MEASUREMENT.2017.05.040
关键词: Sampling (statistics) 、 Atmospheric sciences 、 Greenhouse gas 、 Laser 、 Spectrum analyzer 、 Air pump 、 Humidity 、 Simulation 、 Desiccant 、 Moisture 、 Environmental science
摘要: Abstract Continuous flow through chamber systems are recognized for their superiority in obtaining high resolution seasonal greenhouse gas (GHG) emissions data. In the current study, we combine Li-Cor 8100A CO2 flux system with infrared N2O analyzer (Teledyne API, San Diego, CA) and a laser spectroscopic (Los Gatos Research Inc, Mountain View, to design robust setup reliable concurrent measurements of from automatic chambers obtain gradient data agricultural land. Field testing revealed considerable interference moisture temperature data, which showed negative drift up 0.5 ppm at increased humidity (R2 = 0.76). Addition desiccant column on line an attempt improve readings due removal affected baselines, likely modulation by air pump. High precision output stability its baseline variable were preferable combined tower measurements. The total produced site fertilized 100 kg N ha−1 was 1.8 ± 0.7 kg N2O-N ha−1, 4350 ± 1173 kg CO2-C ha−1 during measurement period fall spring. frequency sampling low labor intensity allows comparison GHG short term events across seasons, establishes basis better understanding sources systems.
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