通过社区科学监测空气质量和相互报告流程来支持知识正义
Valentina Serrano-Salomón1, Marisa Westbrook2, Noemy Pérez3
1Department of Sociology, University of Colorado Boulder, UCB 327 Ketchum 195, Boulder, CO, 80309, USA.
Journal of environmental management
|November 23, 2024
概括
社区科学空气质量项目可以改善数据共享和知识正义. 使用低成本监控器的相互报告过程提高了参与者的意识,并促进了参与者的环境学习.
科学领域:
- 环境科学 环境科学
- 基于社区的参与式研究
- 空气质量监测 空气质量监测
背景情况:
- 低成本的空气监测器为社区科学提供了民主化数据报告的机会.
- 社区科学中现有的回报流程可以改进,以提高参与者的参与度.
- 环境正义社区经常面临与空气质量数据的访问和理解有关的独特挑战.
研究的目的:
- 为社区空气质量科学实施和评估一种新的三部分互惠报告流程.
- 评估这一过程对参与者的空气质量意识和环境学习的影响.
- 探索这种方法如何在环境监测倡议中推进知识正义.
主要方法:
- 在四个环境正义社区为居民配备了低成本的空气监测器,用于两年内四次为期30天的部署.
- 实施了双向通信,民主化数据访问和响应性干预的互惠报告流程.
- 在部署后对30名空气质量监测器用户进行了120次采访,以收集定性数据.
主要成果:
- 相互报告过程显著提高了参与者的空气质量意识.
- 参与者从事不同的环境学习模式:数据驱动,健康意识和进步的调查逻辑.
- 该方法验证了参与者的其他认识方式,例如感官污染检测,促进集体学习.
结论:
- 相互报告过程通过促进灵活性,互惠和响应性来增强社区科学.
- 这种模式通过集中社区知识和促进集体环境学习来支持知识正义.
- 这项研究表明,在社区空气质量监测中,对回报的方法更加强大和整体.
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