SmartAQnet: remote and in-situ sensing of urban air quality

Budde, Matthias; Riedel, Till; Beigl, Michael; Schäfer, Klaus; Emeis, Stefan; Cyrys, Josef; Schnelle-Kreis, Jürgen; Philipp, Andreas; Ziegler, Volker; Grimm, H.; Gratza, Thomas

doi:10.1117/12.2282698

Cited by 7 publications

(6 citation statements)

References 21 publications

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“…The crowd measurements by LCS can be geo-statistically projected onto a higher quality level together with the high-precision measurements (thin black arrows). Following this, an overall higher information density at an elevated quality level than the sum of the individual measurements alone is possible, so that continuous data by LCS can be applied (Budde et al, 2017). There is an increasing interest in air quality forecast and assessment systems by decision makers to improve air quality and public health, mitigate the occurrence of acute air pollution episodes, particularly in urban areas, and reduce the associated impacts on agriculture, ecosystems, and climate.…”

Section: Current Status and Challengesmentioning

confidence: 99%

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Advances in Air Quality Research – Current and Emerging Challenges

Sokhi

Moussiopoulos

Baklanov

et al. 2021

Preprint

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Abstract. This review provides a community’s perspective on air quality research focussing mainly on developments over the past decade. The article provides perspectives on current and future challenges as well as research needs for selected key topics. While this paper is not an exhaustive review of all research areas in the field of air quality, we have selected key topics that we feel are important from air quality research and policy perspectives. After providing a short historical overview, this review focuses on improvements in characterising sources and emissions of air pollution, new air quality observations and instrumentation, advances in air quality prediction and forecasting, understanding interactions of air quality with meteorology and climate, exposure and health assessment, and air quality management and policy. In conducting the review, specific objectives were (i) to address current developments that push the boundaries of air quality research forward, (ii) to highlight the emerging prominent gaps of knowledge in air quality research and (iii) and to make recommendations to guide the direction for future research within the wider community. This review also identifies areas of particular importance for air quality policy. The original concept of this review was borne at the International Conference on Air Quality 2020 (held online due to the COVID 19 restrictions during 18–26 May 2020), but the article incorporates a wider landscape of research literature within the field of air quality science. On air pollution emissions the review highlights, in particular, the need to reduce uncertainties in emissions from diffuse sources, particulate matter chemical components, shipping emissions and the importance of considering both indoor and outdoor sources. There is a growing need to have integrated air pollution and related observations from both ground based and remote sensing instruments, including especially those on satellites. The research should also capitalize on the growing area of lower cost sensors, while ensuring a quality of the measurements which are regulated by guidelines. Connecting various physical scales in air quality modelling is still a continual issue, with cities being affected by air pollution gradients at local scales and by long range transport. At the same time, one should allow for the impacts from climate change on a longer timescale. Earth system modelling offers considerable potential by providing a consistent framework for treating scales and processes, especially where there are significant feedbacks, such as those related to aerosols, chemistry and meteorology. Assessment of exposure to air pollution should consider both the impacts of indoor and outdoor emissions, as well as apply more sophisticated, dynamic modelling approaches. With particulate matter being one of the most important pollutants for health, research is indicating the urgent need to understand, in particular, the role of particle number and chemical components in terms of health impact, which in turn requires improved emission inventories and models for predicting high resolution distributions of these metrics over cities. The review also examines, how air pollution management needs to adapt to the above-mentioned new challenges and briefly considers the implications from the COVID-19 pandemic for air quality. Finally, we provide recommendations for air quality research and support for policy.

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Section: Current Status and Challengesmentioning

confidence: 99%

“…Figure 6. Configuration of ambient air measurements modelled as a space, time, and precision-dimensional feature space (large arrows): crowds with low-cost sensors (green) scatter irregularly in space and time at low precision, however high number (source: Budde et al, 2017).…”

Section: Current Status and Challengesmentioning

confidence: 99%

Advances in Air Quality Research – Current and Emerging Challenges

Sokhi

Moussiopoulos

Baklanov

et al. 2021

Preprint

Self Cite

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“…The most evident, but very disruptive, mobile sensor, is the smartphone, combining various sensors like accelerometers, a GPS receiver or a microphone for capturing noise (Maisonneuve, Stevens & Steels 2008), sensors for light intensity and colour (Harari et al 2016;Gutierrez-Martinez et al 2017) and even pollutant concentration sensors via the USB interface (Schäfer et al 2017). In combination with tailor-made apps, it is possible to capture data either indirectly by sensing the surrounding environment (e.g.…”

Section: Mobile Sensorsmentioning

confidence: 99%

Defining and assessing walkability: a concept for an integrated approach using surveys, biosensors and geospatial analysis

Dörrzapf

Kovács-Györi

Resch

et al. 2019

Urban Development Issues

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Walking as a transport mode is still often underrepresented in the overall transport system. Consequently, pedestrian mobility is usually not recorded statistically in the same manner as it is performed for motorised traffic which leads to an underestimation of its importance and positive effects on people and cities. However, the integration of walkability assessments is potentially a valuable complement in urban planning processes through considering important quantitative and qualitative aspects of walking in cities. Recent literature shows a variety of approaches involving discrepancies in the definition of walkability, the factors which contribute to it, and methods of assessing them. This paper provides a new understanding of the concept of walkability in the European context. Our approach relies on the extension of methodological competence in transportation, spatial planning and geography by linking new measurement methods for evaluating walkability. We propose an integrated approach to assessing walkability in a comprehensive methodology that combines existing qualitative and GIS-based methods with biosensor technologies and thus captures the perceptions and emotions of pedestrians. This results in an increased plausibility and relevance of the results of walkability analysis by considering the spatial environment and its effect on people.

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“…This platform integrates various data sets (weather, traffic, etc. ) and data from stationary and mobile measuring devices (Budde et al, 2017a). The quality of the mobile generated data is investigated in connection with the usability of the cost-effective sensors (Budde et al, 2017b).…”

Section: Air Quality and Particulate-matter Sensingmentioning

confidence: 99%

“…) and data from stationary and mobile measuring devices (Budde et al, 2017a). The quality of the mobile generated data is investigated in connection with the usability of the cost-effective sensors (Budde et al, 2017b). This makes it possible to better interpret the significance of data from citizen science projects.…”

Section: Air Quality and Particulate-matter Sensingmentioning

confidence: 99%

Measure particulate matter by yourself: data-quality monitoring in a citizen science project

Benabbas

Geißelbrecht

Nikol

et al. 2019

J. Sens. Sens. Syst.

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Abstract. The concern about air quality in urban areas and the impact of particulate matter (PM) on public health is turning into a big debate. A good solution to sensitize people to this issue is to involve them in the process of air quality monitoring. This paper presents contributions in the field of PM measurements using low-cost sensors. We show how a low-cost PM sensor can be extended to transfer data not only over Wi-Fi but also over the LoRa protocol. Then, we identify some of the correlations existing in the data through data analysis. Afterwards, we show how semantic technologies can help model and control sensor data quality in an increasing PM sensor network. We finally wrap up with a conclusion and plans for future work.

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SmartAQnet: remote and in-situ sensing of urban air quality

Cited by 7 publications

References 21 publications

Advances in Air Quality Research – Current and Emerging Challenges

Advances in Air Quality Research – Current and Emerging Challenges

Defining and assessing walkability: a concept for an integrated approach using surveys, biosensors and geospatial analysis

Measure particulate matter by yourself: data-quality monitoring in a citizen science project

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