%A Shunli WANG, Zhanfeng LI, Youliang MA, Hu DENG, Liping SHANG %T Automatic online testing methods of soil CO2 concentration %0 Journal Article %D 2011 %J Front. Agric. China %J Frontiers of Agriculture in China %@ 1673-7334 %R 10.1007/s11703-011-1096-0 %P 388-392 %V 5 %N 3 %U {https://academic.hep.com.cn/fag/EN/10.1007/s11703-011-1096-0 %8 2011-09-05 %X

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.