工业源2019-2023年碳排放清单产品

为实现对区域工业部门碳排放的空间精细化管控，本清单产品以苏州市、宝钢德盛不锈钢基地等典型工业区为对象，构建了2019-2023年月度、1公里分辨率的工业源碳排放空间清单。产品创新性地融合了卫星遥感反演的XCO₂、NO₂等多类大气成分指标，以及夜间灯光、工业用地POI、企业能源统计等多维时空数据，通过随机森林、梯度提升等机器学习模型建立了特征变量与排放强度的复杂映射关系，实现了“自上而下”的排放空间化。数据质量经过多尺度严格验证：利用移动式CO₂激光雷达对工业园区进行走航观测，直接验证空间热点；与清华大学MEIC清单进行空间格局与总量交叉比对；并执行了定量的A/B类不确定性分析。该清单产品已成功应用于分析城市内部工业集群的排放贡献与演变趋势，未来可服务于重点行业绩效评估、区域减污降碳协同管控以及工业园区循环化改造的精准施策。清单产品为栅格格式。(协议共享)To achieve spatial refined management and control of carbon emissions from regional industrial sectors, this inventory product takes typical industrial zones including Suzhou City and Baosteel Desheng Stainless Steel Base as research objects, and constructs a monthly, 1-kilometer resolution spatial inventory of industrial source carbon emissions for the period 2019–2023. This product innovatively integrates multiple atmospheric composition indicators such as XCO₂ and NO₂ retrieved from satellite remote sensing, as well as multi-dimensional spatiotemporal data including nighttime light, industrial land POI, and enterprise energy consumption statistics. It establishes complex mapping relationships between feature variables and emission intensity via machine learning models such as Random Forest and Gradient Boosting, realizing the top-down spatialization of emissions. The data quality has been strictly verified at multiple scales: cruise observations using mobile CO₂ lidar over industrial parks were conducted to directly validate spatial hotspots; cross-comparisons of spatial patterns and total emissions were carried out against the Tsinghua University MEIC Inventory; and quantitative Type A and Type B uncertainty analyses were performed. This inventory product has been successfully applied to analyze the emission contributions and evolution trends of intra-city industrial clusters. In the future, it can support performance evaluation of key industries, coordinated regional management of pollution reduction and carbon emission reduction, and precision policy-making for circular transformation of industrial parks. The inventory product is in raster format. (Shared under agreement)

搜集汇总

背景与挑战

背景概述

该数据集是2019-2023年工业源碳排放清单产品，覆盖苏州城市、宝钢德胜不锈钢基地等典型工业区，提供月度、1公里空间分辨率的栅格数据。它通过整合卫星遥感大气指标（如XCO₂、NO₂）、夜间灯光等多维数据，并应用随机森林等机器学习模型，实现了碳排放的'自上而下'空间化，且数据质量经过地面激光雷达验证和MEIC清单交叉比对，确保可靠性。