Study on the Evolutionary Characteristics of Spatial and Temporal Patterns and Decoupling Effect of Urban Carbon Emissions in the Yangtze River Delta Region Based on Neural Network Optimized by Aquila Optimizer with Nighttime Light Data

Study on the Evolutionary Characteristics of Spatial and Temporal Patterns and Decoupling Effect of Urban Carbon Emissions in the Yangtze River Delta Region Based on Neural Network Optimized by Aquila Optimizer with Nighttime Light Data

China produces the largest amount of CO<sub>2</sub> emissions since 2007 and is the second largest economy in the world since 2010, and the Yangtze River Delta (YRD) area plays a crucial role in promoting low-carbon development in China. Analyzing its evolutionary characteristics of spat...

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Bibliographic Details
Main Authors: Xichun Luo, Chaoming Cai, Honghao Zhao
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Land
Subjects:
CO<sub>2</sub> emission
nighttime light data
aquila optimizer neural network
spatial and temporal patterns
decoupling effect
Online Access:https://www.mdpi.com/2073-445X/14/1/51
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