基于拥堵系数的上海市道路高分辨率碳排放时空分配方法研究

High-resolution Spatiotemporal Allocation Method for Carbon Emissions of Road Vehicles in Shanghai Based on Traffic Congestion Coefficient

研究提出了一种基于道路拥堵系数的道路高分辨率碳排放时空分配系数的建立方法,生成了1 km×1 km、1小时时间分辨率的上海市道路机动车碳排放时空分配数据集。结果显示,上海市道路交通车流量空间分布整体呈现由城市中心向外逐渐减弱的趋势,时间分布基本呈现“双峰”形态,与清单指南-分配系数和EDGAR-分配系数变化趋势相同,相关系数分别为0.87和0.77,说明该方法具有一定的准确性。该研究构建的交通碳排放动态时空分配方法将有助于上海市道路碳排放清单动态更新、浓度模拟和排放特征分析。

A method to establish high-resolution spatiotemporal allocation coefficients for road carbon emissions based on congestion coefficients was proposed.A dataset of spatiotemporal allocation of carbon emissions from motor vehicles on roads in Shanghai was generated at a resolution of 1 km×1 km and hourly intervals.The results indicated an overall decrease in spatial distribution of traffic flow intensity from the city center to the outskirts of Shanghai,with a temporal distribution showing a“bimodal”pattern.The temporal allocation coefficients exhibited similar trends to those from inventory guidelines and EDGAR,with correlation coefficients of 0.87 and 0.77 respectively,indicating a certain level of accuracy in the method.The dynamic spatiotemporal allocation method for traffic carbon emissions developed in this study was helpful to facilitate dynamic updates of the road carbon emission inventory in Shanghai,as well as concentration simulation and emission characteristic analysis.