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Frontiers of Agriculture in China

ISSN 1673-7334

ISSN 1673-744X(Online)

CN 11-5729/S

Front Agric Chin    2011, Vol. 5 Issue (3) : 388-392     DOI: 10.1007/s11703-011-1096-0
RESEARCH ARTICLE |
Automatic online testing methods of soil CO2 concentration
Shunli WANG(), Zhanfeng LI, Youliang MA, Hu DENG, Liping SHANG
Southwest University of Science and Technology of Sichuan, Mianyang 621010, China
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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     
Corresponding Authors: WANG Shunli,Email:xch@jcjsz.com   
Issue Date: 05 September 2011
URL:  
http://academic.hep.com.cn/fag/EN/10.1007/s11703-011-1096-0     OR     http://academic.hep.com.cn/fag/EN/Y2011/V5/I3/388
Fig.1  Structural diagram of the system.
Fig.2  Test pattern of CO concentration.
Fig.3  CO concentration in the starting point detection.
Fig.4  CO concentration in the middle of measurement points detection.
Fig.5  CO Extraction of CO Concentration in the Maximum.
Fig.6  Measurement chart. X is the concentration of carbon dioxide data measured by the static chamber method, while the solid line is the data monitoring by the automatic monitoring system.
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