Examining the Potential Environmental Controls of Underground CO_2 Concentration in Arid Regions by an SVD-PCA-ANN Preview Model

Zhuang Zhikai; Li Xiaoqiang; Wang WenfengChen Xi

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Examining the Potential Environmental Controls of Underground CO_2 Concentration in Arid Regions by an SVD-PCA-ANN Preview Model

机译：Examining the Potential Environmental Controls of Underground CO_2 Concentration in Arid Regions by an SVD-PCA-ANN Preview Model

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This study attempts to examine environmental controls of the underground CO2 concentration, taking the CO2 concentration 4 m beneath the soil as an example. An SVD-PCA-ANN (singular value decomposition-principal component analysis-artificial neural network) preview model is proposed with the data of underground CO2 concentration and 12 environmental variables (the soil and meteorological data). The R-2, RMSE, and RPD values of the proposed model are, respectively, 0.8874, 0.3351, and 2.7929, performing better than the popular preview models like SAE (stacked autoencoders), SVM (support vector machine), and LSTM (long short-term memory). It is proved that the underground CO2 concentration can be approximated by a nonlinear function of the considered variables. Soil temperature, salinity, and wind speed are the leading environmental controls, which explain 32.04%, 13.68%, and 11.21% in the variability of the underground CO2 concentration, respectively. Possible mechanisms associated with the environmental controls are also preliminarily discussed.

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《Mathematical Problems in Engineering: Theory, Methods and Applications》 |2021年第44期|9840335.1-9840335.8|共8页
作者
Zhuang Zhikai; Li Xiaoqiang; Wang WenfengChen Xi;
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作者单位

Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China|Sino Belgian Joint Lab Geoinformat, Urumqi 830011, Peoples R China|CAS Res Ctr Ecol & Env;

Jinan Univ, Int Energy Inst, Jinan 310006, Peoples R China;

Enlighten Acad Inst, Dept Sci Res, Nanjing 210000, Jiangsu, Peoples R ChinaShanghai Inst Technol, Sch Sci, Shanghai 201418, Peoples R China|Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China;

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Examining the Potential Environmental Controls of Underground CO_2 Concentration in Arid Regions by an SVD-PCA-ANN Preview Model

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