巴塞罗那的街道和人口普查级NO2数据具有不确定性和超值概率映射
A Criado1,2, C Carnerero3, A Frangeskou3
1Barcelona Supercomputing Center, Barcelona, Spain. alvaro.criado@bsc.es.
Scientific data
|January 21, 2026
概括
这项研究提供了巴塞罗那六年街头二氧化 (NO2) 数据,包括关键的不确定性估计. 这为卫生研究和城市规划提供了前所未有的空气质量洞察力.
科学领域:
- 环境科学 环境科学
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
背景情况:
- 空气污染,特别是二氧化 (NO2),对公众健康构成重大风险.
- 在街道层面的空气质量数据平台很少,估计的不确定性通常不会被报告.
- 高分辨率的空气质量数据对于公众意识,健康研究和城市规划至关重要.
研究的目的:
- 在巴塞罗那的街道层面分辨率下,呈现一个全面的六年 (2019-2024) 的二氧化 (NO2) 度数据集.
- 将与这些高分辨率空气质量估计相关的不确定性纳入并绘制地图.
- 提供符合欧洲空气质量指令和世卫组织指导方针的超标概率图.
主要方法:
- 开发了高分辨率 (25m x 25m) 的年度NO2度估计.
- 在全市时间评估中,在人口普查地带层面生成的每日NO2度.
- 将不确定性量化集成到空气质量数据中,并将其空间可视化.
- 创建基于监管门的超值概率图.
主要成果:
- 巴塞罗那高分辨率NO2度和相关不确定性的六年数据库.
- 第一个全市范围的每日NO2评估,具有完整的空间覆盖.
- 空间地图说明了NO2度,不确定性和超标概率.
- 数据可通过uncertAIR平台对各种利益相关者进行访问.
结论:
- 该研究为巴塞罗那提供了一个独特的,高分辨率和不确定性意识的NO2数据集.
- 这个开放的数据平台在全球范围内推进了街道规模的空气质量监测和报告.
- 这些发现支持在公共卫生,城市规划和环境政策方面基于证据的决策.
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