scholarly journals Optical particulate matter sensors in PM2.5 measurements in atmospheric air

2018 ◽  
Vol 44 ◽  
pp. 00006 ◽  
Author(s):  
Marek Badura ◽  
Piotr Batog ◽  
Anetta Drzeniecka-Osiadacz ◽  
Piotr Modzel
Keyword(s):  
Particulate Matter ◽  
Temporal Resolution ◽  
Optical Sensors ◽  
Low Cost ◽  
Monitoring Systems ◽  
Atmospheric Air ◽  
The Public ◽  
Good Operation

Monitoring systems are needed to obtain information about particulate matter (PM) concentrations and to make such information accessible to the public. Small, low-cost, optical sensors could be used to improve the spatial and temporal resolution of PM data. The paper presents results of collocated comparison of four low-cost PM sensors and TEOM analyser, conducted from 20-08-2017 to 24-12-2017 in Wrocław, Poland. Plantower PMS7003 and Nova Fitness SDS011 sensors proved to be the best in terms of precision and were linearly correlated with TEOM data. Alphasense OPC-N2 sensors exhibited only moderate precision and linearity. Winsen ZH03A sensors had low repeatability between units and only one copy demonstrated good operation possibilities. All tested sensors had a bias in relation to PM2.5 concentrations obtained from TEOM.

scholarly journals Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2219 ◽  
Author(s):  
Florentin Michel Jacques Bulot ◽  
Hugo Savill Russell ◽  
Mohsen Rezaei ◽  
Matthew Stanley Johnson ◽  
Steven James Johnston Ossont ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Optical Sensors ◽  
Limit Of Detection ◽  
Low Cost ◽  
Airborne Particulate Matter ◽  
Environmental Parameters ◽  
Additional Information ◽  
Sources Of Pollution ◽  
Premature Deaths ◽  
The Impact

Airborne particulate matter (PM) exposure has been identified as a key environmental risk factor, associated especially with diseases of the respiratory and cardiovascular system and with almost 9 million premature deaths per year. Low-cost optical sensors for PM measurement are desirable for monitoring exposure closer to the personal level and particularly suited for developing spatiotemporally dense city sensor networks. However, questions remain over the accuracy and reliability of the data they produce, particularly regarding the influence of environmental parameters such as humidity and temperature, and with varying PM sources and concentration profiles. In this study, eight units each of five different models of commercially available low-cost optical PM sensors (40 individual sensors in total) were tested under controlled laboratory conditions, against higher-grade instruments for: lower limit of detection, response time, responses to sharp pollution spikes lasting <1 min , and the impact of differing humidity and PM source. All sensors detected the spikes generated with a varied range of performances depending on the model and presenting different sensitivity mainly to sources of pollution and to size distributions with a lesser impact of humidity. The sensitivity to particle size distribution indicates that the sensors may provide additional information to PM mass concentrations. It is concluded that improved performance in field monitoring campaigns, including tracking sources of pollution, could be achieved by using a combination of some of the different models to take advantage of the additional information made available by their differential response.

scholarly journals On the Security and Data Integrity of Low-Cost Sensor Networks for Air Quality Monitoring

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4451 ◽  
Author(s):  
Lan Luo ◽  
Yue Zhang ◽  
Bryan Pearson ◽  
Zhen Ling ◽  
Haofei Yu ◽  
...  
Keyword(s):  
Air Quality ◽  
Low Cost ◽  
Measurement Data ◽  
Data Integrity ◽  
Pollution Monitoring ◽  
Quality Monitoring ◽  
Monitoring Systems ◽  
Air Quality Monitoring ◽  
Air Pollution Monitoring ◽  
The Public

The emerging connected, low-cost, and easy-to-use air quality monitoring systems have enabled a paradigm shift in the field of air pollution monitoring. These systems are increasingly being used by local government and non-profit organizations to inform the public, and to support decision making related to air quality. However, data integrity and system security are rarely considered during the design and deployment of such monitoring systems, and such ignorance leaves tremendous room for undesired and damaging cyber intrusions. The collected measurement data, if polluted, could misinform the public and mislead policy makers. In this paper, we demonstrate such issues by using a.com, a popular low-cost air quality monitoring system that provides an affordable and continuous air quality monitoring capability to broad communities. To protect the air quality monitoring network under this investigation, we denote the company of interest as a.com. Through a series of probing, we are able to identify multiple security vulnerabilities in the system, including unencrypted message communication, incompetent authentication mechanisms, and lack of data integrity verification. By exploiting these vulnerabilities, we have the ability of “impersonating” any victim sensor in the a.com system and polluting its data using fabricated data. To the best of our knowledge, this is the first security analysis of low-cost and connected air quality monitoring systems. Our results highlight the urgent need in improving the security and data integrity design in these systems.

scholarly journals Sensor network for PM2.5 measurements on an academic campus area

2019 ◽  
Vol 116 ◽  
pp. 00004
Author(s):  
Marek Badura ◽  
Izabela Sówka ◽  
Piotr Batog ◽  
Piotr Szymański ◽  
Łukasz Dąbrowski
Keyword(s):  
Air Quality ◽  
Sensor Network ◽  
Optical Sensors ◽  
Low Cost ◽  
Fine Particulate Matter ◽  
Sensor Nodes ◽  
Spatial And Temporal Variability ◽  
The Public ◽  
Dense Networks ◽  
Wide Scale

Fine particulate matter (PM2.5) pose a serious threat to health. Therefore it should be monitored to assess its health impacts and to take actions to reduce its pollution. However, the traditional regulatory measuring stations are not able to capture the spatial and temporal variability of PM2.5 concentrations. The opportunity to improve the resolution of PM2.5 data is based on dense networks of miniaturized low-cost sensors. The article presents the sensor network for campus area of Wrocław University of Science and Technology. This system consists of 20 sensor nodes, distributed both on a narrow scale (14 devices on the main campus area) and on a wide scale (devices on campuses in distant parts of the city). Sensor devices have been equipped with optical sensors A003 from Plantower company and with heated inlets. Dedicated website with a map is used to present the up-to-date information about air quality to the public. Messages on air quality are based on air quality index, calculated every 15 minutes. The article demonstrates also few results of preliminary measurements, when episodes of elevated PM2.5 concentrations were observed. Sensor nodes proved to be an useful tool to monitor the changes of air pollution during such events.

Wide-field subsecond temporal resolution optical monitoring systems for detection and study of cosmic hazards

2013 ◽  
Vol 183 (8) ◽  
pp. 888-894
Author(s):  
G.M. Beskin ◽  
S.V. Karpov ◽  
V.L. Plokhotnichenko ◽  
S.F. Bondar ◽  
A.V. Perkov ◽  
...  
Keyword(s):  
Temporal Resolution ◽  
Monitoring Systems ◽  
Wide Field ◽  
Optical Monitoring

Low cost HAB platform to measure particulate matter in the troposphere

2016 ◽  
Author(s):  
Mark J. Potosnak ◽  
Bernhard Beck-Winchatz ◽  
Paul Ritter ◽  
Emily Dawson
Keyword(s):  
Particulate Matter ◽  
Low Cost

Opportunities for Qualitative Analysis of Social Media Platforms in Dietetic Research and Practice

2020 ◽  
pp. 1-5
Author(s):  
Meghan Lynch ◽  
Irena Knezevic ◽  
Kennedy Laborde Ryan
Keyword(s):  
Social Media ◽  
Low Cost ◽  
Online News ◽  
News Article ◽  
Discussion Forums ◽  
Research And Practice ◽  
The Public ◽  
Related Data ◽  
Social Media Platforms ◽  
Article Comment

To date, most qualitative knowledge about individual eating patterns and the food environment has been derived from traditional data collection methods, such as interviews, focus groups, and observations. However, there currently exists a large source of nutrition-related data in social media discussions that have the potential to provide opportunities to improve dietetic research and practice. Qualitative social media discussion analysis offers a new tool for dietetic researchers and practitioners to gather insights into how the public discusses various nutrition-related topics. We first consider how social media discussion data come with significant advantages including low-cost access to timely ways to gather insights from the public, while also cautioning that social media data have limitations (e.g., difficulty verifying demographic information). We then outline 3 types of social media discussion platforms in particular: (i) online news article comment sections, (ii) food and nutrition blogs, and (iii) discussion forums. We discuss how each different type of social media offers unique insights and provide a specific example from our own research using each platform. We contend that social media discussions can contribute positively to dietetic research and practice.

scholarly journals Contemporaneous Monitoring of the Whole Dynamic Earth System from Space, Part I: System Simulation Study Using GEO and Molniya Orbits

2021 ◽  
Vol 13 (5) ◽  
pp. 878
Author(s):  
Christopher Cullingworth ◽  
Jan-Peter Muller
Keyword(s):  
Climate Models ◽  
Low Cost ◽  
Earth Observation ◽  
Earth System ◽  
Specific Knowledge ◽  
Educational Value ◽  
Weather Forecasts ◽  
The Public ◽  
Global View ◽  
Disaster Monitoring

Despite the wealth of data produced by previous and current Earth Observation platforms feeding climate models, weather forecasts, disaster monitoring services and countless other applications, the public still lacks the ability to access a live, true colour, global view of our planet, and nudge them towards a realisation of its fragility. The ideas behind commercialization of Earth photography from space has long been dominated by the analytical value of the imagery. What specific knowledge and actionable intelligence can be garnered from these evermore frequent revisits of the planet’s surface? How can I find a market for this analysis? However, what is rarely considered is what is the educational value of the imagery? As students and children become more aware of our several decades of advance in viewing our current planetary state, we should find mechanisms which serve their curiosity, helping to satisfy our children’s simple quest to explore and learn more about what they are seeing. The following study describes the reasons why current GEO and LEO observation platforms are inadequate to provide truly global RGB coverage on an update time-scale of 5-min and proposes an alternative, low-cost, GEO + Molniya 3U CubeSat constellation to perform such an application.

scholarly journals Computational Molecular Modeling of Transport Processes in Nanoporous Membranes

Processes ◽  
2018 ◽  
Vol 6 (8) ◽  
pp. 124 ◽  
Author(s):  
Kevin Hinkle ◽  
Xiaoyu Wang ◽  
Xuehong Gu ◽  
Cynthia Jameson ◽  
Sohail Murad
Keyword(s):  
Molecular Modeling ◽  
Temporal Resolution ◽  
High Performance ◽  
Low Cost ◽  
Membrane Surface ◽  
Experimental Studies ◽  
Nanoporous Materials ◽  
Transport Processes ◽  
Zeolite Membrane ◽  
Nanoporous Membranes

In this report we have discussed the important role of molecular modeling, especially the use of the molecular dynamics method, in investigating transport processes in nanoporous materials such as membranes. With the availability of high performance computers, molecular modeling can now be used to study rather complex systems at a fraction of the cost or time requirements of experimental studies. Molecular modeling techniques have the advantage of being able to access spatial and temporal resolution which are difficult to reach in experimental studies. For example, sub-Angstrom level spatial resolution is very accessible as is sub-femtosecond temporal resolution. Due to these advantages, simulation can play two important roles: Firstly because of the increased spatial and temporal resolution, it can help understand phenomena not well understood. As an example, we discuss the study of reverse osmosis processes. Before simulations were used it was thought the separation of water from salt was purely a coulombic phenomenon. However, by applying molecular simulation techniques, it was clearly demonstrated that the solvation of ions made the separation in effect a steric separation and it was the flux which was strongly affected by the coulombic interactions between water and the membrane surface. Additionally, because of their relatively low cost and quick turnaround (by using multiple processor systems now increasingly available) simulations can be a useful screening tool to identify membranes for a potential application. To this end, we have described our studies in determining the most suitable zeolite membrane for redox flow battery applications. As computing facilities become more widely available and new computational methods are developed, we believe molecular modeling will become a key tool in the study of transport processes in nanoporous materials.

Vertical profiling of atmospheric air pollutants in rural India: A case study on particulate matter (PM10/PM2.5/PM1), carbon dioxide, and formaldehyde

Measurement ◽  
2021 ◽  
Vol 185 ◽  
pp. 110061
Author(s):  
Sneha Gautam ◽  
Cyril Sammuel ◽  
Aniket Bhardwaj ◽  
Zahra Shams Esfandabadi ◽  
M. Santosh ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Particulate Matter ◽  
Air Pollutants ◽  
Rural India ◽  
Atmospheric Air ◽  
Vertical Profiling

scholarly journals Hygroscopic properties of particulate matter and effects of their interactions with weather on visibility

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Wan-Sik Won ◽  
Rosy Oh ◽  
Woojoo Lee ◽  
Sungkwan Ku ◽  
Pei-Chen Su ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Light Scattering ◽  
Low Cost ◽  
Weather Type ◽  
Hygroscopic Growth ◽  
Weather Factors ◽  
Mass Growth ◽  
Hygroscopic Properties ◽  
Weather Observations ◽  
Censored Regression Model

AbstractThe hygroscopic property of particulate matter (PM) influencing light scattering and absorption is vital for determining visibility and accurate sensing of PM using a low-cost sensor. In this study, we examined the hygroscopic properties of coarse PM (CPM) and fine PM (FPM; PM2.5) and the effects of their interactions with weather factors on visibility. A censored regression model was built to investigate the relationships between CPM and PM2.5 concentrations and weather observations. Based on the observed and modeled visibility, we computed the optical hygroscopic growth factor, $$f\left( {RH} \right)$$ f RH , and the hygroscopic mass growth, $$GM_{VIS}$$ G M VIS , which were applied to PM2.5 field measurement using a low-cost PM sensor in two different regions. The results revealed that the CPM and PM2.5 concentrations negatively affect visibility according to the weather type, with substantial modulation of the interaction between the relative humidity (RH) and PM2.5. The modeled $$f\left( {RH} \right)$$ f RH agreed well with the observed $$f\left( {RH} \right)$$ f RH in the RH range of the haze and mist. Finally, the RH-adjusted PM2.5 concentrations based on the visibility-derived hygroscopic mass growth showed the accuracy of the low-cost PM sensor improved. These findings demonstrate that in addition to visibility prediction, relationships between PMs and meteorological variables influence light scattering PM sensing.

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