Development and performance testing of a miniaturized multi-sensor system combining MOX and PID for potential UAV application in TIC, VOC and CWA dispersion scenarios

Fumian, Francesca; Chierici, Andrea; Bianchelli, Mattia; Martellucci, Luca; Rossi, Riccardo; Malizia, A.; Gaudio, P; D’Errico, Francesco; Giovanni, Daniele Di

doi:10.1140/epjp/s13360-021-01858-2

Cited by 9 publications

(7 citation statements)

References 24 publications

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“…Recently, studies based on electronic nose sensors (e-nose) have been carried out. E-noses are devices that mimic the functions of the human nose through a series of combined gas sensors, usually MOX sensors, using machine learning algorithms [36].…”

Section: Platforms and Sensing Technologies For Uav-based Chemical Se...mentioning

confidence: 99%

State of the Art and Future Perspectives of Atmospheric Chemical Sensing Using Unmanned Aerial Vehicles: A Bibliometric Analysis

Marin,

Becciolini,

Santana

et al. 2023

Sensors

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In recent years, unmanned aerial vehicles (UAVs) have been increasingly used to monitor and assess air quality. The interest in the application of UAVs in monitoring air pollutants and greenhouse gases is evidenced by the recent emergence of sensors with the most diverse specifications designed for UAVs or even UAVs designed with integrated sensors. The objective of this study was to conduct a comprehensive review based on bibliometrics to identify dynamics and possible trends in scientific production on UAV-based sensors to monitor air quality. A bibliometric analysis was carried out in the VOSViewer software (version 1.6.17) from the Scopus and Web of Science reference databases in the period between 2012 and 2022. The main countries, journals, scientific organizations, researchers and co-citation networks with greater relevance for the study area were highlighted. The literature, in general, has grown rapidly and has attracted enormous attention in the last 5 years, as indicated by the increase in articles after 2017. It was possible to notice the rapid development of sensors, resulting in smaller and lighter devices, with greater sensitivity and capacity for remote work. Overall, this analysis summarizes the evolution of UAV-based sensors and their applications, providing valuable information to researchers and developers of UAV-based sensors to monitor air pollutants.

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Section: Platforms and Sensing Technologies For Uav-based Chemical Se...mentioning

confidence: 99%

State of the Art and Future Perspectives of Atmospheric Chemical Sensing Using Unmanned Aerial Vehicles: A Bibliometric Analysis

Marin,

Becciolini,

Santana

et al. 2023

Sensors

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“…The CNPP and FNPP accidents provide unique opportunities on the investigation of radiological consequences and radiation effects on environment in a large scale that cannot be observed in the laboratory, not only for the health of higher plants but also for human health [32,[44][45][46][47]. Prior to the Fukushima incident, few decision makers paid attention to the need to plan health investigations following a large-scale radiation scattering incident [47][48][49]. Following the FNPP incident, despite the serious initial difficulties, the basic concept of the Fukushima Health Management Survey (FHMS) was developed, which defined not only the health effects of ionizing radiation, but also other problems, such as example mental health and the consequences of long-term relocation [50,51].…”

Section: Current and Future Perspectives: Management In The Medical F...mentioning

confidence: 99%

Effects of Ionizing Radiation on Flora Ten Years after the Fukushima Dai-ichi Disaster

Ludovici

Chierici

Souza

et al. 2022

Plants

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The aim of this work is to analyze the effects of ionizing radiation and radionuclides (like 137Cs) in several higher plants located around the Fukushima Dai-ichi Nuclear Power Plant (FNPP), evaluating both their adaptive processes and evolution. After the FNPP accident in March 2011 much attention was focused to the biological consequences of ionizing radiation and radionuclides released in the area surrounding the nuclear plant. This unexpected mishap led to the emission of radionuclides in aerosol and gaseous forms from the power plant, which contaminated a large area, including wild forest, cities, farmlands, mountains, and the sea, causing serious problems. Large quantities of 131I, 137Cs, and 134Cs were detected in the fallout. People were evacuated but the flora continued to be affected by the radiation exposure and by the radioactive dusts’ fallout. The response of biota to FNPP irradiation was a complex interaction among radiation dose, dose rate, temporal and spatial variation, varying radiation sensitivities of the different plants’ species, and indirect effects from other events. The repeated ionizing radiations, acute or chronic, guarantee an adaptation of the plant species, demonstrating a radio-resistance. Consequently, ionizing radiation affects the genetic structure, especially during chronic irradiation, reducing genetic variability. This reduction is associated with the different susceptibility of plant species to chronic stress. This would confirm the adaptive theory associated with this phenomenon. The effects that ionizing radiation has on different life forms are examined in this review using the FNPP disaster as a case study focusing the attention ten years after the accident.

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“…In general, risk mitigation should be accomplished by using new sensing technologies and data processing methodologies that allow to remove the need for physical exploration with human operators, for example by using sensing devices on board automatic mobile vehicles. Thanks to the advances in sensing technologies such as the recent improvement in the sensing miniaturisation for chemical agents in combination with Artificial Intelligence and Robotics, the field of Mobile Robot Olfaction has emerged as a more recent valuable research and industrial field [19][20][21][22][23][24][25][26][27][28] . Detection, identification, localization, and mapping of natural, accidental, or deliberate release of dangerous agents are the main tasks in environmental monitoring and are a matter of paramount importance in such a context.…”

Section: Introductionmentioning

confidence: 99%

Deep learning methodologies for chemical dispersion map reconstruction

Martellucci,

Puleio,

Rutigliano

et al. 2023

Image and Signal Processing for Remote Sensing XXIX

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Environmental monitoring has been receiving increasing interest in recent years, both in research and in industries such as the military field. In the CBRNe event (Chemical, Biological, Radiological, Nuclear and Explosive), detection and monitoring of the target area are generally accomplished with manned devices. Physical exploration of the environment represents an unsafe situation whereas localization and mapping are time-consuming activity that involves some hazard level for the operator in the field. In case of accidental or deliberate release of chemical agents in the environment, the use of low-cost gas sensors developed in a network or mobile platform equipped with portable and reliable sensors provides the ability to acquire data on the event more quickly and safely with respect to manned devices. Localizing the source of a release and mapping its dispersion in the environment are crucial tasks for risk mitigation, even though they remain open problems. The rise of data processing techniques in the last few years such as Artificial Intelligence and Machine Learning methodologies gives the opportunity to develop promising solutions for environmental monitoring. In this work, we propose the application of Artificial Intelligence techniques for the chemical dispersion reconstruction for the data of a distributed sensor network by involving Deep Learning algorithms. The data was generated from a simulation of a gas dispersion in the environment and a reconstruction of the shape of the dispersion at the same resolution of the reference data has been obtained through a modified Deconvolution Neural Network.

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Development and performance testing of a miniaturized multi-sensor system combining MOX and PID for potential UAV application in TIC, VOC and CWA dispersion scenarios

Cited by 9 publications

References 24 publications

State of the Art and Future Perspectives of Atmospheric Chemical Sensing Using Unmanned Aerial Vehicles: A Bibliometric Analysis

State of the Art and Future Perspectives of Atmospheric Chemical Sensing Using Unmanned Aerial Vehicles: A Bibliometric Analysis

Effects of Ionizing Radiation on Flora Ten Years after the Fukushima Dai-ichi Disaster

Deep learning methodologies for chemical dispersion map reconstruction

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