中国未来碳中和情景空气污染物排放数据集（2017-2060逐年）

基于可计算一般均衡模型和基准年排放清单生成的2017至2060年不同碳中和技术和空气污染物末端治理情景组合下的常规空气污染物（PM2.5，SO2，NH3，NOX）逐年排放数据，用于未来中国二氧化碳与空气污染的协同治理的政策情景分析。本数据已被应用于对碳中和技术路径的健康协同效益评估，作为健康影响评估模型的数据输入，来估计过早死亡、发病率和由此造成的预期寿命损失，并对这些健康影响进行货币化。将货币化的健康共同利益与相应的减排成本进行比较，以探索不同碳中和技术组合的成本效益。

Annual emission data of conventional air pollutants (PM2.5, SO2, NH3, NOX) from 2017 to 2060, generated based on the Computable General Equilibrium (CGE) model and base-year emission inventory, under combined scenarios of various carbon neutrality technologies and end-of-pipe air pollution control measures. This dataset is intended for policy scenario analysis on the co-governance of carbon dioxide and air pollution in future China. It has been utilized to evaluate the health co-benefits of carbon neutrality technology pathways, serving as input data for health impact assessment models to estimate premature mortality, morbidity, and the resulting life expectancy loss, as well as to monetize these health impacts. The monetized health co-benefits are compared with corresponding emission reduction costs to explore the cost-effectiveness of different carbon neutrality technology combinations.

搜集汇总

背景与挑战

背景概述

该数据集提供了2017至2060年中国在碳中和情景下的空气污染物排放数据，包括PM2.5、SO2、NH3和NOX等污染物，适用于二氧化碳与空气污染协同治理的政策分析和健康影响评估。数据以CSV格式存储，涵盖不同治理情景、年份、省份、部门和污染物类型。