arXiv: 2607.14805
RACiMo:公民环境监测网络——以学生为中心的公民科学网络,用于环境监测、数据素养与气候意识建设(哥伦比亚)
RACiMo: Red Ambiental Ciudadana de Monitoreo: A Student-Centred Citizen Science Network for Environmental Monitoring, Data Literacy, and Climate Awareness in Colombia
July 16, 2026
作者: L. V. Flórez, G. Sánchez-Ariza, N. Mantilla-Molina, J. Pisco-Guabave, A. Martínez-Méndez, A. Serrano-Mendoza, Luis A. Núñez, H. Asorey, L. M. Becerra, J. Grisales-Casadiegos, A. Núñez-Castiñeyra, J. Peña-Rodríguez, J. Salamanca-Coy, C. Sarmiento-Cano, D. Sierra-Porta
physics.soc-phphysics.soc-ph
摘要
本文追溯了哥伦比亚桑坦德工业大学开发的公民科学与环境教育项目——RACiMo的演变历程。该项目历经数次迭代,从基于学校的开源硬件计划逐步发展为区域性环境监测网络,整合了气象与空气质量数据、开放数据实践以及以学生为中心的研究。项目的核心目标是培养公民(尤其是中学生、教师及高校导师)记录、整理、分析、解读并传播与当地情境相关的气候与空气质量数据的能力。RACiMo已吸纳哥伦比亚桑坦德地区城市、都市、农村及帕拉莫社区的约515名学生参与。其技术路径从通过"与他人共同动手"方式组装的Arduino-Raspberry Pi监测站,演进为低维护成本的商用仪器,并最终形成覆盖多个市镇的专业气象与空气质量监测站网络。教学方法也从"通过制作传感器学习"转向"通过Python、Jupyter笔记本、可视化工具及学生主导的研究项目分析真实环境数据集来学习"。当前实施的RACiMo-Orquídeas项目将网络扩展至五个市镇,重点关注货运交通与工业活动等本地环境问题,并通过存储库与交互工具向公众开放数据。本文探讨了开放性、教育价值、可靠性、数据质量、可持续性与可扩展性之间的权衡,并认为:当当地社区不仅接受数据收集培训,更能批判性地理解和使用数据时,公民环境监测可有效增强气候意识与适应能力。
English
This paper traces the evolution of Red Ambiental Ciudadana de Monitoreo (RACiMo), a citizen-science and environmental-education initiative developed by Universidad Industrial de Santander in Colombia. RACiMo has evolved through successive editions from a school-based open-hardware programme into a regional environmental monitoring network that integrates meteorological and air-quality data, open-data practices, and student-centred research. The project's central objective is to train citizens, especially secondary-school students, teachers, and university mentors, to record, curate, analyse, interpret, and communicate climate and air-quality data relevant to their local contexts. RACiMo has involved approximately 515 students from urban, metropolitan, rural, and páramo communities in Santander, Colombia. It has progressed from Arduino-Raspberry Pi stations assembled through a Do-It-With-Others approach to low-maintenance commercial instruments and a multi-municipality network of professional weather and air-quality stations. Its pedagogy has shifted from learning by building sensors to learning by analysing real environmental datasets through Python, Jupyter notebooks, visualisation tools, and student-led research projects. The current RACiMo-Orquídeas implementation expands the network across five municipalities, emphasises local environmental issues such as freight traffic and industrial activity, and provides public access to data through repositories and interactive tools. The paper discusses the trade-offs between openness, educational value, reliability, data quality, sustainability, and scalability. It argues that citizen environmental monitoring can strengthen climate awareness and adaptation when local communities are trained not only to collect data, but also to understand and use it critically.