Introducing a Chaotic Component in the Control System of Soil Respiration

An, Peng; Wang, Wenfeng; Chen, Xi; Qian, Jing; Pan, Yunzhu

doi:10.1155/2020/5310247

Cited by 4 publications

(3 citation statements)

References 35 publications

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“…is presents new evidence for the necessity to take into account groundwater discharge and recharge as a factor in analyzing the underground CO 2 concentration in arid regions [33].…”

Section: Discussionmentioning

confidence: 97%

Examining the Potential Environmental Controls of Underground CO2 Concentration in Arid Regions by an SVD-PCA-ANN Preview Model

Zhuang

Li²,

Wang

et al. 2021

Mathematical Problems in Engineering

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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 R2, 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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“…is presents new evidence for the necessity to take into account groundwater discharge and recharge as a factor in analyzing the underground CO 2 concentration in arid regions [33].…”

Section: Discussionmentioning

confidence: 97%

Examining the Potential Environmental Controls of Underground CO2 Concentration in Arid Regions by an SVD-PCA-ANN Preview Model

Zhuang

Li²,

Wang

et al. 2021

Mathematical Problems in Engineering

Self Cite

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“…During the past decades, emissions of carbon dioxide (CO 2 ) from fossil fuel combustion and deforestation are rapidly increasing the atmospheric concentration of CO 2 [1][2][3][4][5]. is has potentially motivated global warming and reduced the pH of the oceans [6,7].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Environmental Controls on the Quasi-Ocean and Ocean CO2 Concentration by Two Intelligent Algorithms

Zhou

Wang

et al. 2021

Mathematical Problems in Engineering

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Previous studies have demonstrated CO2 absorption by soils in arid regions, where the absorbed CO2 is conjectured to be finally sequestrated in the “subterranean ocean”—groundwater. This study compares environmental controls of ocean CO2 concentration (surface ocean pCO2) and quasi-ocean CO2 concentration (deep-soil pCO2). We aim to explore the latent relationship, both linear and nonlinear between the environmental variables, and CO2 concentration, utilizing two intelligent algorithms—the partial least linear regression (PLSR) algorithm and the artificial neural network (ANN) algorithm. For quasi-ocean CO2 concentration, RPD <1.4 and R2 <40%. While for ocean CO2 concentration, RPD >1.4 and R2 is 99.7%. Linear relationships between the considered environmental controls and ocean CO2 concentration are proved; however, there is no evident relationship between most of the considered environmental controls and quasi-ocean CO2 concentration. Groundwater level is proved to be a relatively important environmental control on the quasi-ocean CO2 concentration, suggesting groundwater discharge/recharge as a significant modulator of soil CO2 absorption in arid regions.

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“…In the article titled "Introducing a Chaotic Component in the Control System of Soil Respiration" [1], the corresponding author's e-mail address has been corrected as shown above.…”

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confidence: 99%

Corrigendum to “Introducing a Chaotic Component in the Control System of Soil Respiration”

Wang

Chen

et al. 2022

Complexity

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Introducing a Chaotic Component in the Control System of Soil Respiration

Cited by 4 publications

References 35 publications

Examining the Potential Environmental Controls of Underground CO2 Concentration in Arid Regions by an SVD-PCA-ANN Preview Model

Examining the Potential Environmental Controls of Underground CO2 Concentration in Arid Regions by an SVD-PCA-ANN Preview Model

Analysis of Environmental Controls on the Quasi-Ocean and Ocean CO2 Concentration by Two Intelligent Algorithms

Corrigendum to “Introducing a Chaotic Component in the Control System of Soil Respiration”

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