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A Main Belt Comet exploration mission has been proposed to perform rendezvous with a Main Belt Comet in the future, and the probe will orbit the comet and carry on complete investigation. The scientific objective of the Main Belt Comet Dust Analyzer (MBCDA) instrument, part of the scientific payload onboard the Main Belt Comet mission, is to explore the ejections, orbit activity and origin of the comet, as well as dust evolution in the coma and their influence on the probe. To this aim, MBCDA is composed of different modules: a Microbalance Sensor system, to measure the dust flux from different directions and perform a thermo-gravimetric analysis, a Dust Size Sensor, to monitor the grain's diameter by optical detection, a Dust Momentum Sensor, to detect the momentum carried by the particles, and a Microscopic Imaging System, to obtain the morphological, charging properties and composition information of the comet dust. The preliminary calibration results of MBCDA demonstrate that the instrument is basically compatible with design specifications and is suitable to obtain scientific results about cometary dust. [ABSTRACT FROM AUTHOR]

Particulate matter is a common health hazard, and under certain conditions, an ecological threat. While many studies were conducted in regard to air pollution and potential effects, this paper serves as a pilot scale investigation into the spatial and temporal variability of particulate matter (PM) pollution in arid urban environments in general, and Beer-Sheva, Israel as a case study. We explore the use of commercially off the shelf (COTS) sensors, which provide an economical solution for spatio-temporal measurements. We started with a comparison process against an A-grade meteorological station, where it was shown that under specific climatic conditions, a number of COTS sensors were able to produce robust agreement (mean R2=0.93, average SD=17.5). The second stage examined the COTS sensors that were proven accurate in a mobile measurement campaign. Finally, data collected was compared to a validated satellite prediction model. We present how these tests and COTS sensor-kits could then be used to further explain the continuity and dispersion of particulate matter in similar areas.

Modern coalmines produces huge amount of dust during the production and transportation of coal. Due to the lot of dust produced in this operation causes health problems such as lunges diseases and respiration problems to the miners. This paper discussed about auto dust controls which detected the dust and automatically water will be spared trough the water pipes installed by this water can be saved and dust can be controlled more effectively. This also increases the safety of miners regarding dust and decreases the dust suppression cost. [ABSTRACT FROM AUTHOR]

The increase in produced waste is a symptom of inefficient resources usage, which should be better exploited as a resource for energy and materials. The air pollution generated by waste causes impacts felt by a large part of the population living in and around the main urban areas. This paper presents a mobile sensor node for monitoring air and noise pollution; indeed, the developed system is installed on an RC drone, quickly monitoring large areas. It relies on a Raspberry Pi Zero W board and a wide set of sensors (i.e., NO2, CO, NH3, CO2, VOCs, PM2.5, and PM10) to sample the environmental parameter at regular time intervals. A proper classification algorithm was developed to quantify the traffic level from the noise level (NL) acquired by the onboard microphone. Additionally, the drone is equipped with a camera and implements a visual recognition algorithm (Fast R-CNN) to detect waste fires and mark them by a GPS receiver. Furthermore, the firmware for managing the sensing unit operation was developed, as well as the power supply section. In particular, the node's consumption was analysed in two use cases, and the battery capacity needed to power the designed device was sized. The onfield tests demonstrated the proper operation of the developed monitoring system. Finally, a cloud application was developed to remotely monitor the information acquired by the sensor-based drone and upload them on a remote database. [ABSTRACT FROM AUTHOR]

Particulate matter is a common health hazard, and under certain conditions, an ecological threat. While many studies were conducted in regard to air pollution and potential effects, this paper serves as a pilot scale investigation into the spatial and temporal variability of particulate matter (PM) pollution in arid urban environments in general, and Beer-Sheva, Israel as a case study. We explore the use of commercially off the shelf (COTS) sensors, which provide an economical solution for spatio-temporal measurements. We started with a comparison process against an A-grade meteorological station, where it was shown that under specific climatic conditions, a number of COTS sensors were able to produce robust agreement (mean R 2 = 0.93 ,   average   SD = 17.5 ). The second stage examined the COTS sensors that were proven accurate in a mobile measurement campaign. Finally, data collected was compared to a validated satellite prediction model. We present how these tests and COTS sensor-kits could then be used to further explain the continuity and dispersion of particulate matter in similar areas. [ABSTRACT FROM AUTHOR]

The construction industry is one of the primary sources of fine dust pollution. Aging labor, occupational health impacts, and stagnant productivity are the concerns within the construction industry. Even though control measures are implemented to reduce exposure to fine dust during construction works, occupational health impacts for construction practitioners still exist. At the worst, it can lead the construction practitioner to premature death or long-term illness. The authors used content analysis with deductive reasoning and a concept based review approach to collate a broader knowledge within the scope of this research. It is found that the research and applications of fine dust emitted from construction equipment are in a progressive stage, but that of the construction activities is still in an early stage. The majority of recent publications in this area of research are associated with the control measures, health impacts, monitoring systems, and emission from the construction activities. However, still, there is no consensus about an appropriate real-time monitoring system or a targeted countermeasure. Researchers and construction practitioners can accommodate significant factors such as the distributional characteristics of different sizes of particles while using different materials and tools for various activities simultaneously. This study will support the future researchers in this area by directing their attention towards research areas such as real-time monitoring of construction dust by considering distributional characteristics of particles and formulation of a standard PM inventory for the construction works. This will in turn advocate for a refined construction practice and in the creation of targeted control measures. Image 1 [ABSTRACT FROM AUTHOR]

Particulate matter is a common health hazard, and under certain conditions, an ecological threat. While many studies were conducted in regard to air pollution and potential effects, this paper serves as a pilot scale investigation into the spatial and temporal variability of particulate matter (PM) pollution in arid urban environments in general, and Beer-Sheva, Israel as a case study. We explore the use of commercially off the shelf (COTS) sensors, which provide an economical solution for spatio-temporal measurements. We started with a comparison process against an A-grade meteorological station, where it was shown that under specific climatic conditions, a number of COTS sensors were able to produce robust agreement (mean R2=0.93, average SD=17.5). The second stage examined the COTS sensors that were proven accurate in a mobile measurement campaign. Finally, data collected was compared to a validated satellite prediction model. We present how these tests and COTS sensor-kits could then be used to further explain the continuity and dispersion of particulate matter in similar areas.