Automatic online testing methods of soil CO₂ concentration

Abstract

An online extraction method for monitoring CO₂ concentration during soil respiration is described based on the assay of gas pump and gas extraction with a dynamic air chamber. Also, a study is done on the relationship between data collected from online CO₂ measurement and time, as well as the curve fitting. This method uses the optimization algorithm to extract the CO₂ concentration in the soil respiration chamber, and sets up a mathematical model for online soil CO₂ concentration extraction. It is verified that the extraction method is feasible with the automatic site detection. This method, which can reduce the volume of data redundancy and improve data reliability, has a high reference value for the similar characteristics of online data extraction, compared with the traditional CO₂ detection methods during soil respiration.

Keywords

deep soil respiration / online unattended monitoring / polynomial fitting / optimization

References

[1] Baoyu C, Hongjun W, Jian Y (2009). Separation of soil respiration components and method for measuring soil respiration. Journal of Northeast Forestry University, 1(3): 96–99 (in Chinese)

[2] Bo E, Pernille L P (2005). Subsurface CO₂ dynamics in temperate beech and spruce forest stands. Biogeochemistry, 75(3): 479–506

[3] Zhou C Y, Zhou G Y, Wang Y H (2005). Soil respiration of a coniferous and broad-leaved mixed forest in Ding Hu Shan Mountain, Guangdong Province. Journal of Beijing Forestry University, 27(4): 23–27 (in Chinese)

[4] O’Neill K P, Kasischke E S, Richter D D (2002). Environmental controls on soil CO₂ flux following fire in black spruce, white spruce and aspen stands of interior Alaska. Canadian Journal of Forest Research, 32(9): 1525–1541

[5] Qiguo Z (2008). Improving knowledge of soil, innovating modern pedology. Acta Pedologica Sinica, 45(5): 771–777

[6] Peng S LLi Y L, Ren H, Zhao P (2002). Progress in research on soil respiration under the global change. Advance in Earth Sciences, 17(5): 705–713 (in Chinese)

[7] Wang Y S, Wang Y H (2003). Quick measurement of CH₄, CO₂ and N₂O emissions from a short plant ecosystem. Adv Atmos Sci, 20(5): 842–844

Acknowledgements

This research was supported by the “863” project, China (No. 2009AA063002) and funded by the Sichuan Provincial Science and Technology Support Project, China (No. 2009SZ0118).

RIGHTS & PERMISSIONS

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg