Estimation of Anthropogenic Carbon Dioxide Emissions in China: Remote Sensing with Generalized Regression Neural Network and Partition Modeling Strategy

Estimation of Anthropogenic Carbon Dioxide Emissions in China: Remote Sensing with Generalized Regression Neural Network and Partition Modeling Strategy

Accurate estimation of anthropogenic CO<sub>2</sub> emissions is crucial for effective climate change mitigation policies. This study aims to improve CO<sub>2</sub> emission estimates in China using remote sensing measurements of column-averaged dry air mole fractions of CO&l...

Full description

Saved in:
Bibliographic Details
Main Authors: Chen Chen, Kaitong Qin, Songjie Wu, Bellie Sivakumar, Chengxian Zhuang, Jiaye Li
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Atmosphere
Subjects:
CO<sub>2</sub> emissions
XCO<sub>2</sub> enhancement
background XCO<sub>2</sub> concentration
K-means clustering
General Regression Neural Network
partition modeling strategy
Online Access:https://www.mdpi.com/2073-4433/16/6/631
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2073-4433/16/6/631

Similar Items