Program air sensors international conference electricity history

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The increasing availability of low-cost air quality monitoring instruments and platforms for storing and visualizing environmental data have lowered the financial and technical barriers for measuring air pollution outside of regulation and compliance communities. Today, community-based organizations, educational institutions, and clean air activists around the world are engaged in conducting scientific research that aims to assess and address air pollution exposures through monitoring, analysis, education, and advocacy. The Field Experience session will share challenges, lessons learned, and best practices from organizations and individuals working at the grassroots level to measure and mitigate air pollution Exposure & Health

​Source Characterization. This session will discuss the use of sensors and sensor networks to identify and characterize air pollutant sources. Relevant topics include source triangulation and fence-line monitoring; plume, leak, or event detection; field studies; and novel methods used to characterize source emission profiles. Gas and Vapor Sensing

​The availability and application of low cost air quality sensors for measuring vapor phase pollutants is rapidly changing. This session will examine the state of the science regarding performance considerations of such sensors. A number of examples will be described concerning how such sensors can and are being used to provide estimation of local air quality conditions. Particle Sensing

The emergence of low-cost technologies in air-quality sensing has been an enabling factor in expanding PM measurements beyond traditional air monitoring networks and in conducting air quality case studies with increased spatial and temporal resolution. During this session, scientists and engineers from academia, government, and industry, will discuss various ongoing efforts in sensor design, development, testing, and implementation. Emerging Technologies

The Emerging Technologies session will encompass a wide array of technologies ranging from air quality sensors, satellite remote sensing and mobile sensing. The overarching goal is to present technologies in development that will provide better data collection and better characterization of air quality to improve our current understanding of air pollution and its potential impacts on human health. Mobile Technologies

​Data Analytics encompasses a variety of topics for sensor data, ranging from statistical methodologies for data validation and analysis, to big data computing frameworks and machine learning, to computer applications for data interpretation and mapping. Sensor data can also include real-time performance assessment, data-streaming capabilities, and other related sub-topics. This session showcases developing work and applications across these vital areas. Data Assimilation

The Data Assimilation Session hopes to present a diverse array of experiences, challenges, and lessons learned in integrating datasets with different time resolution and accuracy, how that data can be interpreted and visualized, and various analysis aspects (such as machine learning) on air quality data. An overarching theme is merging sensor data with regulatory data and how best that can be accomplished project wise and perhaps an ongoing operational basis for governmental agencies. Additionally having these blended datasets made available to interested parties (open access) will further the development and acceptance of sensor networks. Data sharing and harmonization

​Data and metadata standards are an essential aspect of many scientific and technical domains. Such standards are even more relevant given the trends in data science and big data. Standards facilitate transparency and re-use of data and are a core aspect of the FAIR Principle (Findable, Accessible, Interoperable, Reusable). In this session we will discuss not only efforts underway that directly relate to standards in the air sensors domain but also reflect upon efforts and lessons learned from other domains.​ Data Communication

This session will focus on effective ways to communicate with the public about data from sensor networks. It will include giving the public the information it needs through approaches such as data visualization, and the effective integration of sensor data with other risk communication tools such as the Air Quality Index

Monitoring network design and siting is crucial in ensuring monitoring objectives are achieved and limited resources are optimized. This session will focus on providing practical examples of successful deployments of low cost sensor networks to achieve specific monitoring objectives through thoughtful siting considerations. Topics in this session will include discussion of leveraging existing resources to develop large sensor networks, utilizing and optimizing sensors technology with other methods [e.g. mobile platform monitoring] to improve spatial understanding of air quality in communities, and the ideas for quality control and assurance considerations to ensure comparability of sensors.

This session will highlight the experiences of teachers and government representatives working with students on sensors, and youth programs for citizen science. Curriculum development, and outreach and communication issues will be discussed. Low and Middle Income Country Perspectives and Needs