干旱区生态环境知识资源中心(Arid): Examining the Potential Environmental Controls of Underground CO2 Concentration in Arid Regions by an SVD-PCA-ANN Preview Model

Arid

DOI	10.1155/2021/9840335
	Examining the Potential Environmental Controls of Underground CO2 Concentration in Arid Regions by an SVD-PCA-ANN Preview Model
	Zhuang, Zhikai; Li, Xiaoqiang; Wang, Wenfeng; Chen, Xi
通讯作者	Wang, WF (corresponding author), Shanghai Inst Technol, Sch Sci, Shanghai 201418, Peoples R China. ; Wang, WF ; Chen, X (corresponding author), Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China. ; Chen, X (corresponding author), Univ Chinese Acad Sci, Beijing 100049, Peoples R China. ; Chen, X (corresponding author), Sino Belgian Joint Lab Geoinformat, Urumqi 830011, Peoples R China. ; Chen, X (corresponding author), CAS Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China.
来源期刊	MATHEMATICAL PROBLEMS IN ENGINEERING
ISSN	1024-123X
EISSN	1563-5147
出版年	2021
卷号	2021
英文摘要	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.
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000721336500006
WOS关键词	PRINCIPAL COMPONENT ANALYSIS ; SOIL RESPIRATION ; FIELD METHODS ; FOREST ; NETWORKS
WOS类目	Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
WOS研究方向	Engineering ; Mathematics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/373675
作者单位	[Zhuang, Zhikai] Jinan Univ, Int Energy Inst, Jinan 310006, Peoples R China; [Li, Xiaoqiang] Enlighten Acad Inst, Dept Sci Res, Nanjing 210000, Jiangsu, Peoples R China; [Wang, Wenfeng] Shanghai Inst Technol, Sch Sci, Shanghai 201418, Peoples R China; [Wang, Wenfeng; Chen, Xi] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China; [Chen, Xi] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Chen, Xi] Sino Belgian Joint Lab Geoinformat, Urumqi 830011, Peoples R China; [Chen, Xi] CAS Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China
推荐引用方式 GB/T 7714	Zhuang, Zhikai,Li, Xiaoqiang,Wang, Wenfeng,et al. Examining the Potential Environmental Controls of Underground CO2 Concentration in Arid Regions by an SVD-PCA-ANN Preview Model[J],2021,2021.
APA	Zhuang, Zhikai,Li, Xiaoqiang,Wang, Wenfeng,&Chen, Xi.(2021).Examining the Potential Environmental Controls of Underground CO2 Concentration in Arid Regions by an SVD-PCA-ANN Preview Model.MATHEMATICAL PROBLEMS IN ENGINEERING,2021.
MLA	Zhuang, Zhikai,et al."Examining the Potential Environmental Controls of Underground CO2 Concentration in Arid Regions by an SVD-PCA-ANN Preview Model".MATHEMATICAL PROBLEMS IN ENGINEERING 2021(2021).