Spectral difference analysis of maize to CO2 leakage from geological storage
By constructing a CO2 leakage simulation platform,the spectral characteristic parameters of maize that are sensitive to soil CO2 leakage were extracted by means of original spectral analysis of maize leaves,first-order derivative spectral analysis,correlation analysis,difference analysis and regression analysis,providing a basis for CO2 leakage monitoring in the CO2 capture and storage(CCS)project area.The results show that Rg,Rr,Db and Dr change significantly under CO2 leakage conditions,and Rg and Rr have a higher correlation with soil CO2(R2≥0.869).At 10,20 and 30 days of leakage,Rr was significantly different from CK at soil CO2 concentration of 10%,30%and 50%.At 20 and 30 days of leakage,Rg at soil CO2 concentration of 10%,30%and 50%showed significant differences with CK.However,at the 10 days of leakage,Rg showed significant differences with CK only at soil CO2 concentration of 30%and 50%.At 10 days of leakage,Rg can only identify leakage with soil CO2 above 30%,and at 20 and 30 days of leakage,both Rr and Rg can effectively identify leakage with soil CO2 of 10%,30%and 50%.Furthermore,Rg and Rr show a good linear relationship with soil CO2(R2≥0.751 5),and the possible leakage concentration of soil CO2 can be quantitatively retrieved using the linear regression equation of Rg and Rr.
plant hyperspectrumspectral characteristic parameterCO2 leakageCO2 capture and storage(CCS)Leakage monitoring
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