Calibrating networks of low-cost air quality sensors
نویسندگان
چکیده
Abstract. Ambient fine particulate matter (PM2.5) pollution is a major health risk. Networks of low-cost sensors (LCS) are increasingly being used to understand local-scale air variation. However, measurements from LCS have uncertainties that can act as potential barrier effective decision making. data thus need adequate calibration obtain good quality PM2.5 estimates. In order develop factors, one or more typically co-located with reference monitors for short long periods time. A model then developed characterizes the relationships between raw output and monitors. This transferred other in network. Calibration models tend be evaluated based on their performance only at co-location sites. It often implicitly assumed conditions relatively sparse sites representative network overall not overfitted Little work has explicitly how transferable rest an network, even after appropriate cross-validation. Further, few studies sensitivity key use cases, such hotspot detection, applied. Finally, there been dearth research duration (short-term long-term) impact these results. paper attempts fill gaps using dense Denver deployed through city's “Love My Air” program. offers series transferability metrics networks some suggestions which would most useful achieving different end goals.
منابع مشابه
Mitigating Slow Dynamics of Low-Cost Chemical Sensors for Mobile Air Quality Monitoring Sensor Networks
The last decade has seen a growing interest in air quality monitoring using networks of wireless low-cost sensor platforms. One of the unifying characteristics of chemical sensors typically used in real-world deployments is their slow response time. While the impact of sensor dynamics can largely be neglected when considering static scenarios, in mobile applications chemical sensor measurements...
متن کاملThe use of electrochemical sensors for monitoring urban air quality in low-cost, high-density networks
Measurements at appropriate spatial and temporal scales are essential for understanding and monitoring spatially heterogeneous environmentswith complex andhighlyvariable emission sources, such as inurban areas. However, the costs and complexity of conventional air quality measurement methods means that measurement networks are generally extremely sparse. In this paper we show that miniature, lo...
متن کاملLow-cost robotic sensor networks platform for air quality monitoring
Building robotic sensor networks (RSNs) for air quality monitoring application is a challenging frontier for robotic research. Such systems must operate for extended periods of time in unstructured and complex domains. The implementation requires addressing numerous issues at the systems level such as energy efficiency, planning, and controlling robots’ trajectories for achieving robust operati...
متن کاملSupplement of The next generation of low-cost personal air quality sensors for quantitative exposure monitoring
متن کامل
The next generation of low-cost personal air quality sensors for quantitative exposure monitoring
Advances in embedded systems and low-cost gas sensors are enabling a new wave of low-cost air quality monitoring tools. Our team has been engaged in the development of low-cost, wearable, air quality monitors (M-Pods) using the Arduino platform. These M-Pods house two types of sensors – commercially available metal oxide semiconductor (MOx) sensors used to measure CO, O3, NO2, and total VOCs, a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Atmospheric Measurement Techniques
سال: 2022
ISSN: ['1867-1381', '1867-8548']
DOI: https://doi.org/10.5194/amt-15-6309-2022