通过公民科学方法提高公众对空气污染的认识

KV Abhijith , Prashant Kumar , Hamid Omidvarborna , Ana Paula Mendes Emygdio , Ben McCallan , David Carpenter-Lomax
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引用次数: 0

摘要

公民科学方法让公众参与进来,共同设计应对空气污染挑战的有效解决方案。吉尔福德生活实验室(GLL)和零碳吉尔福德(ZCG)发起了一项合作空气质量研究,在公共建筑内协同使用低成本传感器。其目的是为公众开发一个实时实时空气污染数据(LAPD)工具,并通过互动问答系统提高公众意识和参与度。在此过程中,我们监测了室内和室外(I/O)的颗粒物(PM)和二氧化碳(CO2)浓度,并评估了二氧化碳的水平和垂直变化。我们发现,短时间的室内公共活动可使二氧化碳浓度升高至 1000 ppm;活动期间人们的活动可使 PM10 浓度升高。PM10 和 CO2 的浓度随着中关村科技园区大楼内的居住人数及其分布而增加。居住者活动导致的灰尘再悬浮是 PM10 浓度升高的主要原因,而较小的颗粒物(PM2.5 和 PM1)则与外部侵入有关。此外,居住人数的变化对 PM2.5 和 PM1 浓度没有影响。我们发现二氧化碳在垂直方向上有明显的分层现象,二氧化碳在建筑物内靠近天花板的地方聚集。同时,水平方向上的二氧化碳浓度均匀,没有明显变化。互动问答系统的数据分析显示,16% 的参与者在日常活动中受到的空气污染最高。通过与洛杉矶警察局的合作开发以及向公众现场展示空气污染数据,有效地传播了空气质量信息,从而提高了个人对空气质量的认识。这项工作证明了公民科学方法在通过协作、包容和知识共享环境了解和缓解空气污染问题方面的有效性。这项研究激励科学家、公众、研究资助机构、当局和机构之间进一步开展公民科学活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Improving air pollution awareness of the general public through citizen science approach

Improving air pollution awareness of the general public through citizen science approach

The citizen science approach engages the public to co-design effective solutions for air pollution challenges. Guildford Living Lab (GLL) and Zero Carbon Guildford (ZCG) initiated a collaborative air quality study to synergistically employ low-cost sensors within a public building. The aims were to develop a real-time Live Air Pollution Data (LAPD) tool for the public and raise awareness and citizen engagement through interactive quiz system. Whilst doing so, we monitored indoor and outdoor (I/O) concentrations of particulate matter (PM) and carbon dioxide (CO2) and assessed horizontal and vertical variation of CO2. We found that short indoor public events can raise CO2 up to 1000 ppm; people's movements during these events can elevate PM10 concentration. The PM10 and CO2 concentrations increased with the number of occupants and their distribution inside the ZCG building. Dust resuspension due to occupant activities was the main driver for high PM10 concentrations, while the smaller particles (PM2.5 and PM1) were linked to the ingress from outside. In addition, the change in the number of occupants showed no effect on PM2.5 and PM1 concentrations. We found significant stratification in CO2 in the vertical direction, accumulating CO2 close to the ceiling inside the building. Concurrently, CO2 in the horizontal direction was uniform without any significant variation. The analysis of data from the Interactive Quiz System revealed that 16 % of the participants had the highest air pollution exposure in their day-to-day activities. The collaborative development of LAPD and the live presentation of air pollution data to the public effectively disseminated air quality information, leading to improved awareness among individuals. This work demonstrated the citizen science approach's effectiveness in understanding and mitigating air pollution issues through a collaborative, inclusive, knowledge-sharing environment. This study inspires further citizen science initiatives between scientists, the public, research funding institutes, authorities and agencies.

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