摘要
针对传统温室气体清单在时空分布特征上的局限性,选取广东省某地的10 km×10 km方形地块为研究区,提出了一种基于“点源、线源、面源”分配法的高空间分辨率温室气体清单编制方法,将温室气体排放数据分配到1 km×1 km的网格中。结果表明,排放热点与电厂、建筑及交通路网高度相关,该分配方法能较好地反映出区域温室气排放的空间分布特征,未来通过进一步加强重点排放源统计调查,并强化与碳监测数据的融合,可推动高分辨率清单编制成果在重点领域减排、减污降碳协同管控、环境准入管理等方面的应用。
This study addresses the limitations of traditional greenhouse gas inventories in spatiotemporal distribution characteristics.Selecting a 10 km×10 km square area in Guangdong as the study area,it proposes a high-spatial-resolution greenhouse gas inventory compilation method based on the"point sources,line sources,and area sources"allocation approach,allocating greenhouse gas emissions into 1 km×1 km grids.The results show that emission hotspots are strongly correlated with power plants,buildings,and transportation networks.The allocation method effectively reflects the spatial distribution characteristics of regional greenhouse gas emissions.Future work should focus on strengthening statistical surveys of key emission sources,enhancing integration with carbon monitoring data,and promoting the application of inventory results in key emission reduction areas,pollution reduction and carbon mitigation co-control,and environmental access management.
作者
王璟睿
陈谢宇
王静
Wang Jingrui;Chen Xieyu;Wang Jing(Shenzhen Academy of Environmental Sciences,Shenzhen 518022,Guangdong,China)
出处
《绿色科技》
2025年第14期188-193,共6页
Journal of Green Science and Technology
基金
广东省基础与应用基础研究基金(编号:2025A1515012007)
亚洲开发银行项目(编号:57113-001)。
关键词
温室气体清单
网格化
碳排放管理
减污降碳
greenhouse gas inventories
gridding
carbon emission management
pollution reduction and carbon mitigation
