Precise multispecies agricultural gas flux determined using broadband open-path dual-comb spectroscopy.
Precise multispecies agricultural gas flux determined using broadband open-path dual-comb spectroscopy.
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DOI：
10.1126/sciadv.abe9765
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发表时间：
2021-03
期刊：
影响因子：
13.6
通讯作者：
Washburn BR
中科院分区：
文献类型：
--
作者：
Herman DI;Weerasekara C;Hutcherson LC;Giorgetta FR;Cossel KC;Waxman EM;Colacion GM;Newbury NR;Welch SM;DePaola BD;Coddington I;Santos EA;Washburn BR
开放路径双梳光谱学测量多物种牲畜排放，使未来田间规模的生态学研究成为可能。光谱学的进步有可能提高我们对农业过程和相关微量气体排放的理解。我们实施现场部署的开放路径双梳光谱分析(DCS)，用于准确估计牲畜的多物种排放。利用宽广的大气双梳光谱，我们询问了包含大约300头牛的牛圈的上风和下风路径，提供了CH4、NH3、CO2和H2O的时间分辨浓度增强和通量。由集散控制系统数据测得的甲烷通量与共置闭路腔衰荡光谱气体分析仪测得的甲烷通量在6%以内。NH3浓度反演的灵敏度为十亿分之十，并产生相应的NH3通量，统计精度为8%，系统不确定度较低。开放路径分布式控制系统提供精确的多物种农业气体通量量化，无需外部校准，并且很容易扩展到基于点采样方法不足的较大农业系统，为田间规模的生物地球化学研究和生态监测提供了机会。
Open-path dual-comb spectroscopy measures multispecies livestock emissions, enabling future field-scale ecological studies. Advances in spectroscopy have the potential to improve our understanding of agricultural processes and associated trace gas emissions. We implement field-deployed, open-path dual-comb spectroscopy (DCS) for precise multispecies emissions estimation from livestock. With broad atmospheric dual-comb spectra, we interrogate upwind and downwind paths from pens containing approximately 300 head of cattle, providing time-resolved concentration enhancements and fluxes of CH4, NH3, CO2, and H2O. The methane fluxes determined from DCS data and fluxes obtained with a colocated closed-path cavity ring-down spectroscopy gas analyzer agree to within 6%. The NH3 concentration retrievals have sensitivity of 10 parts per billion and yield corresponding NH3 fluxes with a statistical precision of 8% and low systematic uncertainty. Open-path DCS offers accurate multispecies agricultural gas flux quantification without external calibration and is easily extended to larger agricultural systems where point-sampling-based approaches are insufficient, presenting opportunities for field-scale biogeochemical studies and ecological monitoring.
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影响因子：
3.8
作者：
Cole, Ryan K.;Makowiecki, Amanda S.;Rieker, Gregory B.
通讯作者：
Rieker, Gregory B.
影响因子：
11.4
作者：
Golston, Levi M.;Pan, Da;Floerchinger, Cody
通讯作者：
Floerchinger, Cody
影响因子：
4.6
作者：
Abbas, Muhammad A.;Pan, Qing;Khodabakhsh, Amir
通讯作者：
Khodabakhsh, Amir
影响因子：
11.4
作者：
Eilerman, Scott J.;Peischl, Jeff;Herndon, Scott
通讯作者：
Herndon, Scott
DOI：
10.1073/pnas.1819082116
发表时间：
2019-02-26
影响因子：
11.1
作者：
Chen, Zaijun;Haensch, Theodor W.;Picque, Nathalie
通讯作者：
Picque, Nathalie