CPS: Synergy: A Layered Framework of Sensors, Models, Land-Use Information and Citizens for Understanding Air Quality in Urban Environments

CPS：协同：传感器、模型、土地利用信息和公民的分层框架，用于了解城市环境中的空气质量

• 批准号: 1646408
• 负责人: Miriah Meyer
• 金额: $ 77.5万
• 依托单位: University of Utah
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-10-01 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1646408&HistoricalAwards=false
• 关键词: CPS; Synergy; Layered; Framework; Sensors

Poor air quality has been linked to not just adverse health effects such as increased incidence of cardiac arrhythmia, lung cancer, heart disease, and mortality, but also to the vitality of a region?s economy. These issues are particularly important in cities such as Salt Lake City (SLC), where topography, climate, and urban expansion combine to create some of the worst air quality episodes in the country. Cities like SLC currently rely on small numbers of expensive sensors placed across a large geographic area to measure air quality, making local, neighborhood-level measurements impossible to determine. Meanwhile, new commodity technologies are leading to fine-grained, community-based strategies for measuring and communicating air quality. Leveraging both of these approaches, this project will develop and deploy a dense, distributed, and dynamic air quality cyber-physical framework -- focusing on fine particulate matter and using SLC as an urban testbed -- to produce neighborhood-level estimates of air quality. The framework includes a network of low-cost sensors, hosted and maintained through a citizen science effort and maker-kit approach.This research will result in novel developments in three areas: (i) sensor development that focuses on dramatically reducing cost and a movement toward cheap, wearable, passive sensors; (ii) computational modeling that combines heterogeneous sensor measurements with information about weather, topography, and land use patterns; and (iii) visualization interface design that communicates air quality estimates over space and time, coupled with related uncertainty measurements. Each of these areas requires a multidisciplinary approach that integrates existing and novel insights about sensor networks, computational modeling, and sense-making of data, as well as leveraging an engaged and connected community of residents through citizen science.

糟糕的空气质量不仅与不良健康影响有关，如心律失常、肺癌、心脏病和死亡率的增加，而且与一个地区的活力有关。的经济。这些问题在作为盐湖城（SLC）等城市尤为重要，地形、气候和城市扩张联合收割机共同创造了该国最糟糕的空气质量事件。 像SLC这样的城市目前依赖于大量昂贵的传感器来测量空气质量，这使得当地的邻里水平测量无法确定。与此同时，新的商品技术正在导致精细的、以社区为基础的测量和宣传空气质量的战略。利用这两种方法，该项目将开发和部署一个密集的，分布式的，动态的空气质量网络物理框架-专注于细颗粒物，并使用SLC作为城市试验台-以产生社区级的空气质量估计。 该框架包括一个低成本的传感器网络，通过公民科学的努力和maker-kit的方法托管和维护。这项研究将导致在三个领域的新的发展：（i）传感器的发展，重点是显着降低成本和走向廉价，可穿戴，被动传感器;（ii）将异质传感器测量与关于天气、地形和土地使用模式的信息相结合的计算建模;以及（iii）可视化界面设计，其传达在空间和时间上的空气质量估计，以及相关的不确定性测量。每个领域都需要多学科方法，整合有关传感器网络，计算建模和数据意义的现有和新见解，并通过公民科学利用参与和连接的居民社区。

项目成果

Building Air Quality Sensors & Inspiring Citizen Scientists

构建空气质量传感器

• 发表时间: 2018
• 期刊: Chemical engineering education
• 作者: Le, K.;Tingey, K.;Becnel, T.;Giallardon, P.;Butterfield, T
• 通讯作者: Butterfield, T

WIP: Engaging Pre-college Students in Hypothesis Generation Using a Citizen Scientist Network of Air Quality Sensors

WIP：利用公民科学家空气质量传感器网络让大学预科生参与假设生成

• DOI: 10.18260/1-2--35538
• 发表时间: 2020
• 期刊: Engaging pre-college students in hypothesis generation using a citizen scientist network of air quality sensors
• 作者: Moore, James;Dailey, Matthew;Wilhelm, Zachary;Kelly, Kerry;Goffin, Pascal;Butterfield, Anthony;Wiese, Jason;Xing, Wei;Le, Katrina;Becnel, Thomas
• 通讯作者: Becnel, Thomas

A Distributed Low-Cost Pollution Monitoring Platform

• DOI: 10.1109/jiot.2019.2941374
• 发表时间: 2019-12-01
• 期刊: IEEE INTERNET OF THINGS JOURNAL
• 影响因子: 10.6
• 作者: Becnel, Thomas;Tingey, Kyle;Gaillardon, Pierre-Emmanuel
• 通讯作者: Gaillardon, Pierre-Emmanuel

Community-Based Measurements Reveal Unseen Differences during Air Pollution Episodes

• DOI: 10.1021/acs.est.0c02341
• 发表时间: 2021-01-05
• 期刊: ENVIRONMENTAL SCIENCE & TECHNOLOGY
• 影响因子: 11.4
• 作者: Kelly, Kerry E.;Xing, Wei W.;Whitaker, Ross T.
• 通讯作者: Whitaker, Ross T.

Patterns of distributive environmental inequity under different PM2.5 air pollution scenarios for Salt Lake County public schools

• DOI: 10.1016/j.envres.2020.109543
• 发表时间: 2020-07-01
• 期刊: ENVIRONMENTAL RESEARCH
• 影响因子: 8.3
• 作者: Mullen, Casey;Grineski, Sara;Kelly, Kerry
• 通讯作者: Kelly, Kerry