城市2019-2023年高时空分辨率碳排放清单产品

本清单产品聚焦城市这一碳排放管控的关键单元，以北京为例，研制了高时空分辨率的城市级碳排放清单产品。通过融合多源卫星遥感数据、高精度气象数据、城市路网、土地利用类型以及建筑能耗模拟等多维空间信息，并应用机器学习空间降尺度技术，将宏观的排放信息精细分配至1公里网格尺度，生成了2019年至2023年北京市及周边地区月度的碳排放空间分布图。产品经过与MEIC清单的对比以及A/B类不确定性分析验证，能够精准揭示城市内部碳排放的空间异质性，清晰识别商业中心、交通干线、工业区和高密度居住区等排放热点。该清单产品为城市管理者实施精细化的低碳治理提供了直接的数据工具，可应用于评估城市空间结构与碳排放的关系、制定分区分类的减排策略、追踪交通和建筑等重点领域的排放动态，并为城市碳达峰路径规划和碳中和行动方案提供科学的量化依据。清单产品为栅格格式。(协议共享)

This inventory product focuses on cities, a key unit for carbon emission management and control. Taking Beijing as an example, we developed an urban-scale carbon emission inventory product with high spatiotemporal resolution. By integrating multi-dimensional spatial information including multi-source satellite remote sensing data, high-precision meteorological data, urban road networks, land use types, and building energy consumption simulations, and applying machine learning-based spatial downscaling technology, we finely allocated macro-scale emission information to a 1-kilometer grid scale, generating monthly spatial distribution maps of carbon emissions for Beijing and its surrounding areas from 2019 to 2023. This product has been validated through comparison with the MEIC inventory and A/B-type uncertainty analysis, and can accurately reveal the spatial heterogeneity of carbon emissions within the city, clearly identifying emission hotspots such as commercial centers, traffic trunk lines, industrial zones, and high-density residential areas. This inventory product provides a direct data tool for urban managers to implement refined low-carbon governance. It can be applied to evaluate the relationship between urban spatial structure and carbon emissions, formulate zoned and categorized emission reduction strategies, track emission dynamics in key sectors such as transportation and construction, and provide scientific quantitative basis for urban carbon peak path planning and carbon neutrality action plans. The inventory product is in raster format. (Shared via agreement)

搜集汇总

背景与挑战

背景概述

该数据集为2019-2023年北京及周边地区的高时空分辨率城市碳排放清单产品，通过融合多源遥感与地理数据并应用机器学习降尺度技术，生成1公里网格精度的月度碳排放空间分布图，可精准识别城市内商业区、交通干道等排放热点，为城市精细化低碳治理提供数据支持。