广州市城市道路CO2和颗粒物（PM）浓度数据集

城市大气CO2和颗粒物（PM）浓度数据是衡量城市空气质量的基础数据，为开展城市环境整治、公共健康研究等提供重要信息。 该数据集基于走航式监测方法，以广州中心城区的内环路为研究区域，选择2023年4-6月工作日内三大典型时段（早高峰、中午、晚高峰），以1秒时间精度多次采集多次采集CO2、颗粒物（PM1.0、PM2.5和PM10）浓度数据，通过大数据分析方法和地理信息技术对数据进行清洗、预处理，整理为城市道路CO2和颗粒物（PM）浓度高时空分辨率精度数据集，采用监测数据校验的方法对该数据集的质量进行评估，结果表明，数据拟合度达82%。该数据集可为城市环境治理和居民健康出行提供参考。

Urban atmospheric CO₂ and particulate matter (PM) concentration data serve as fundamental metrics for assessing urban air quality, providing critical information for urban environmental remediation, public health research and other related fields. This dataset adopts on-road mobile monitoring methodology, taking the Inner Ring Road in the central urban district of Guangzhou as the study area. From April to June 2023, concentrations of CO₂ and particulate matter (PM₁.₀, PM₂.₅ and PM₁₀) were collected multiple times at 1-second temporal resolution across three typical periods on working days: morning rush hour, midday and evening rush hour. Subsequently, data cleaning and preprocessing were conducted via big data analysis and geographic information technology, resulting in a high spatiotemporal resolution dataset of CO₂ and PM concentrations along urban roads. The quality of this dataset was evaluated using monitored data validation, with results showing that the data fitting accuracy reached 82%. This dataset can provide valuable references for urban environmental governance and residents' healthy travel.