Dataset of City-level CO2 emissions in China during 1992-2023

Based on current CO₂ emission accounting methods and results, this study employed nighttime lights (NTL) remote sensing data, coupled with the XGBoost model and a multi-task learning model, to develop a data alignment technique for carbon accounting by integrating correction, supplementation, and prediction functionalities. As a result, a dataset of CO₂ emissions covering 329 cities (including 4 municipalities and 325 prefecture-level cities) from 1992 to 2023 was compiled.

基于现有二氧化碳（CO₂）排放核算方法与核算结果，本研究采用夜间灯光（NTL）遥感数据，结合极限梯度提升（XGBoost）模型与多任务学习模型，研发出集校正、补全与预测功能于一体的碳排放核算数据对齐技术。最终构建了1992年至2023年覆盖329个城市（含4个直辖市与325个地级市）的二氧化碳排放数据集。

搜集汇总

背景与挑战

背景概述

该数据集包含1992-2023年中国329个城市的CO2排放量，基于夜间灯光遥感数据，采用XGBoost和多任务学习模型进行数据对齐和预测。数据集以Excel格式提供，大小为466.6 kB。