scholarly journals Gas Sensors for Monitoring Air Pollution

10.5772/19967 ◽  
2011 ◽  
Author(s):  
Kwang Soo
Keyword(s):  
Air Pollution ◽  
Gas Sensors

Robust Environmental Sensing Using UAVs

2021 ◽  
Vol 2 (4) ◽  
pp. 1-20
Author(s):  
Ahmed Boubrima ◽  
Edward W. Knightly
Keyword(s):  
Air Pollution ◽  
Gas Sensors ◽  
High Performance ◽  
Weather Conditions ◽  
Ambient Air ◽  
Mission Planning ◽  
Pollution Monitoring ◽  
Compound Pollution ◽  
Planning Algorithm

In this article, we first investigate the quality of aerial air pollution measurements and characterize the main error sources of drone-mounted gas sensors. To that end, we build ASTRO+, an aerial-ground pollution monitoring platform, and use it to collect a comprehensive dataset of both aerial and reference air pollution measurements. We show that the dynamic airflow caused by drones affects temperature and humidity levels of the ambient air, which then affect the measurement quality of gas sensors. Then, in the second part of this article, we leverage the effects of weather conditions on pollution measurements’ quality in order to design an unmanned aerial vehicle mission planning algorithm that adapts the trajectory of the drones while taking into account the quality of aerial measurements. We evaluate our mission planning approach based on a Volatile Organic Compound pollution dataset and show a high-performance improvement that is maintained even when pollution dynamics are high.

scholarly journals Air Pollution Monitoring and Prediction System

2019 ◽  
Vol 8 (2S3) ◽  
pp. 648-651
Keyword(s):  
Air Pollution ◽  
Gas Sensors ◽  
Pollution Monitoring ◽  
Warning Systems ◽  
Major Objective ◽  
Air Pollution Monitoring ◽  
The Public ◽  
The People ◽  
Environmental Air

Environmental Air Pollution Monitoring System is used for monitoring the concentrations of major air pollutants using gas sensors. The main target of this project is to monitor the air quality using sensors and analyze the existing trends in air pollution and make prediction about future. The major objective is to inform the public about the quality of air, raise the awareness and also to develop warning systems for the prevention of undesired air pollution episodes and to create awareness in order to reduce the amount of air pollution caused due to various sources. The system is also used to get the approximate quantity of pollutants present in air thereby giving awareness to the people of that specific region. Thus, the amount of pollution caused due to various sources can be reduced, leading a healthier and safer environment

scholarly journals Evaluation and Selection of Materials for Particulate Matter MEMS Sensors by Using Hybrid MCDM Methods

2018 ◽  
Vol 10 (10) ◽  
pp. 3451 ◽  
Author(s):  
Chi-Yo Huang ◽  
Pei-Han Chung ◽  
Joseph Shyu ◽  
Yao-Hua Ho ◽  
Chao-Hsin Wu ◽  
...  
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Gas Sensors ◽  
Multiple Criteria Decision Making ◽  
Manufacturing Processes ◽  
Portable Devices ◽  
Analytic Framework ◽  
Mems Sensors ◽  
Micro Electro Mechanical Systems ◽  
Selection Of

Air pollution poses serious problems as global industrialization continues to thrive. Since air pollution has grave impacts on human health, industry experts are starting to fathom how to integrate particulate matter (PM) sensors into portable devices; however, traditional micro-electro-mechanical systems (MEMS) gas sensors are too large. To overcome this challenge, experts from industry and academia have recently begun to investigate replacing the traditional etching techniques used on MEMS with semiconductor-based manufacturing processes and materials, such as gallium nitride (GaN), gallium arsenide (GaAs), and silicon. However, studies showing how to systematically evaluate and select suitable materials are rare in the literature. Therefore, this study aims to propose an analytic framework based on multiple criteria decision making (MCDM) to evaluate and select the most suitable materials for fabricating PM sensors. An empirical study based on recent research was conducted to demonstrate the feasibility of our analytic framework. The results provide an invaluable future reference for research institutes and providers.

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