Expanding the theory for reducing the CO2 disaster—Hypotheses from partial least-squares regression and machine learning

Expanding the theory for reducing the CO2 disaster—Hypotheses from partial least-squares regression and machine learning

The rapid increase in atmospheric CO2 concentration has caused a climate disaster (CO2 disaster). This study expands the theory for reducing this disaster by analyzing the possibility of reinforcing soil CO2 uptake (Fx) in arid regions using partial least-squares regression (PLSR) and machine learni...

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Bibliographic Details
Main Authors: Bai-Zhou Xu, Xiao-Liang Li, Wen-Feng Wang, Xi Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Earth Science
Subjects:
CO2 disaster
partial least-squares regression (PLSR)
artificial neural network (ANN)
desert systems
environmental controls
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2022.1004920/full

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