基于代理物的建模:评估个人对环境污染物的暴露的随机方法 - - URBANOME项目的见解
Achilleas Karakoltzidis1, Anna Agalliadou1, Marianthi Kermenidou1
1Aristotle University of Thessaloniki, Department of Chemical Engineering, Environmental Engineering Laboratory, University Campus, Thessaloniki 54124, Greece; HERACLES Research Center on the Exposome and Health, Center for Interdisciplinary Research and Innovation, Balkan Center, Bldg. B, 10th km Thessaloniki - Thermi Road, 57001, Greece.
The Science of the total environment
|February 14, 2025
概括
在 URBANOME 项目中,使用基于代理的模型来估计欧洲公民对空气污染物和噪音的暴露. 社会经济因素和日常活动显著影响城市环境中的个人暴露水平.
科学领域:
- 环境科学 环境科学
- 城市规划 城市规划
- 公共卫生 公共卫生
背景情况:
- 欧洲公民面临着大量的空气污染物 (PM10,PM2.5,NO2) 和噪音.
- 了解个体暴露对于公共卫生和城市规划倡议至关重要.
研究的目的:
- 在URBANOME项目中开发和验证一种基于代理物的模型 (ABM),用于估计公民对空气污染和噪声的暴露.
- 研究社会经济因素,人口统计和日常活动对个人暴露模式的影响.
主要方法:
- 使用固定和便携式传感器,智能手机应用程序和参与者活动日志收集了大量数据.
- 塞萨洛尼基居民的综合社会经济和社会人口统计数据.
- 开发了一个基于代理的模型,模拟运动模式和位置,以估计暴露.
主要成果:
- 个人暴露与活动类型,地点,年龄,性别和室内/室外环境密切相关.
- 收入和年龄等社会经济因素显著影响了活动选择和随后的暴露.
- 观察到固定监测站和运动传感器数据之间的差异,家庭内暴露的变化很大.
结论:
- 基于代理的模型是评估城市环境暴露和为政策提供信息的重要工具.
- 模型为制定绿色转型战略和改善大城市公民生活质量提供了洞察力.
- 个性化暴露评估是关键的,因为有很大的个体差异.
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