高频温室气体通量分析工具:自动非稳态透明土壤室的启示

IF 4 2区 农林科学 Q2 SOIL SCIENCE
George Themistokleous, Andreas M. Savvides, Katerina Philippou, Ioannis M. Ioannides, Michalis Omirou
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引用次数: 0

摘要

非稳态箱被广泛用于量化土壤中二氧化碳、甲烷和一氧化二氮的排放量。自动非稳态(a-NSS)土壤采样室与在线气体分析仪配合使用,可对温室气体通量进行高频测量。虽然这些采样系统能为温室气体排放提供有价值的见解,但它们也带来了测量后的挑战,包括大量数据集的管理、复杂的通量计算以及对时间放大的考虑。在这项研究中,利用从 a-NSS 采样系统获得的连续、高分辨率数据,开发了一种计算高效的算法,用于计算瞬时通量和估计昼夜通量模式。该算法应用于一个为期 38 天的数据集,捕获了二氧化碳、甲烷和一氧化二氮通量的同期实地测量数据。自动采样系统能够获取高频数据,从而检测到偶发的气体通量事件。通过使用形状约束加法模型,二氧化碳和一氧化二氮通量的中值百分比偏差(偏差)分别为-1.031%和-4.340%。辛普森法则可以有效地将瞬时通量值提升到日通量值。因此,所提出的算法可以同时快速计算 CO2、CH4 和 N2O 通量,直接从原始的高时间分辨率数据中提供瞬时值和昼夜值。这些进展极大地促进了温室气体通量测量领域的发展,提高了 a-NSS 土壤室计算的效率和准确性,加深了我们对温室气体排放及其时间动态的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A high-frequency greenhouse gas flux analysis tool: Insights from automated non-steady-state transparent soil chambers

Non-steady-state chambers are widely employed for quantifying soil emissions of CO2, CH4, and N2O. Automated non-steady-state (a-NSS) soil chambers, when coupled with online gas analysers, offer the ability to capture high-frequency measurements of greenhouse gas (GHG) fluxes. While these sampling systems provide valuable insights into GHG emissions, they present post-measurement challenges, including the management of extensive datasets, intricate flux calculations, and considerations for temporal upscaling. In this study, a computationally efficient algorithm was developed to compute instantaneous fluxes and estimate diel flux patterns using continuous, high-resolution data obtained from an a-NSS sampling system. Applied to a 38-day dataset, the algorithm captured concurrent field measurements of CO2, CH4, and N2O fluxes. The automated sampling system enables the acquisition of high-frequency data, allowing the detection of episodic gas flux events. By using shape-constrained additive models, a median percentage deviation (bias) of −1.031 and −4.340% was achieved for CO2 and N2O fluxes, respectively. Simpson's rule allowed for efficient upscale from instantaneous to diel flux values. As a result, the proposed algorithm can rapidly and simultaneously calculate CO2, CH4, and N2O fluxes, providing both instantaneous and diel values directly from raw, high-temporal-resolution data. These advancements significantly contribute to the field of GHG flux measurement, enhancing both the efficiency and accuracy of calculations for a-NSS soil chambers and deepening our understanding of GHG emissions and their temporal dynamics.

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来源期刊
European Journal of Soil Science
European Journal of Soil Science 农林科学-土壤科学
CiteScore
8.20
自引率
4.80%
发文量
117
审稿时长
5 months
期刊介绍: The EJSS is an international journal that publishes outstanding papers in soil science that advance the theoretical and mechanistic understanding of physical, chemical and biological processes and their interactions in soils acting from molecular to continental scales in natural and managed environments.
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