RESEARCH ARTICLE

Automatic online testing methods of soil CO2 concentration

  • Shunli WANG ,
  • Zhanfeng LI ,
  • Youliang MA ,
  • Hu DENG ,
  • Liping SHANG
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  • Southwest University of Science and Technology of Sichuan, Mianyang 621010, China

Received date: 16 Oct 2010

Accepted date: 28 Dec 2010

Published date: 05 Sep 2011

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg

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.

Cite this article

Shunli WANG , Zhanfeng LI , Youliang MA , Hu DENG , Liping SHANG . Automatic online testing methods of soil CO2 concentration[J]. Frontiers of Agriculture in China, 2011 , 5(3) : 388 -392 . DOI: 10.1007/s11703-011-1096-0

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).
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