scholarly journals Applying Low-Cost Air-Pollution Sensors’ Information to Explore PM2.5 Concentration With an Emphasis on Spatial and Temporal Analysis: A Case in Chiayi City

2021 ◽  
Author(s):  
Chao-Heng Tseng ◽  
Ling Ling Chen ◽  
Guan-Hua Tseng
Keyword(s):  
Air Pollution ◽  
Environmental Protection Agency ◽  
Low Cost ◽  
Temporal Analysis ◽  
Industrial Area ◽  
Pollution Monitoring ◽  
Estimation Accuracy ◽  
General Applicability ◽  
Air Pollution Monitoring ◽  
Exposure Estimation

Abstract Low-cost air-pollution sensors are attracting increasing attention. They offer air-pollution monitoring at a cost lower than that of conventional methods, theoretically facilitating air-pollution monitoring in several locations and immediate application of acquired information. We establish a particulate matter (PM2.5) map based on low-cost air-pollution sensor information developed using internet of things at Taiwan’s Environmental Protection Agency. We synergize data from one monitoring station with 287 low-cost air-pollution-pollution sensors (data entries = ∼50 million) to estimate PM2.5 concentrations from September 1, 2018 to August 31, 2019. We investigate Chiayi City because it has the second-highest PM2.5 concentration in Taiwan. By analyzing Geographic Information System data, we map Chiayi City’s spatial and temporal distributions, identify PM2.5, and recognize the characteristics of Chiayi City’s hotspots. Our main discoveries are as follows: Chiayi City’s spatial distribution reveals PM2.5 concentrated in its industrial area, which increasingly reduces from the industrial area to the city center. Hot spots are identified by two types of space units: northwest industrial and central and western agricultural zone. Concentrated PM2.5 occurs mainly in winter, with the highest rate in January, occurring most frequently and less frequently from 7 to 10 a.m. and 3 to 5 p.m., respectively. Although this study focuses on Chiayi City, the proposed approach has general applicability to wide-ranging environment-monitoring studies and air-pollution interventions and will substantially assist in validating PM2.5 transport models and enhance exposure estimation accuracy in further research.

scholarly journals H2020 project CAPTOR dataset: raw data collected by low-cost MOX ozone sensors in a real air pollution monitoring network.

Data in Brief ◽  
2021 ◽  
pp. 107127
Author(s):  
Jose M. Barcelo-Ordinas ◽  
Pau Ferrer-Cid ◽  
Jorge Garcia-Vidal ◽  
Mar Viana ◽  
Ana Ripoll
Keyword(s):  
Air Pollution ◽  
Low Cost ◽  
Monitoring Network ◽  
Pollution Monitoring ◽  
Raw Data ◽  
Air Pollution Monitoring

scholarly journals An Orthogonal Air Pollution Monitoring Method (OAPM) Based on LoRaWAN

2020 ◽  
Vol 9 (3) ◽  
pp. 42
Author(s):  
Rahim Haiahem ◽  
Pascale Minet ◽  
Selma Boumerdassi ◽  
Leila Azouz Saidane
Keyword(s):  
Air Pollution ◽  
Low Cost ◽  
Pollution Monitoring ◽  
Area Network ◽  
Wide Area Network ◽  
Huge Number ◽  
Monitoring Method ◽  
Air Pollution Monitoring ◽  
Battery Lifetime ◽  
Monitoring Application

High accuracy air pollution monitoring in a smart city requires the deployment of a huge number of sensors in this city. One of the most appropriate wireless technologies expected to support high density deployment is LoRaWAN which belongs to the Low Power Wide Area Network (LPWAN) family and offers long communication range, multi-year battery lifetime and low cost end devices. It has been designed for End Devices (EDs) and applications that need to send small amounts of data a few times per hour. However, a high number of end devices breaks the orthogonality of LoRaWAN transmissions, which was one of the main advantages of LoRaWAN. Hence, network performances are strongly impacted. To solve this problem, we propose a solution called OAPM (Orthogonal Air Pollution Monitoring) which ensures the orthogonality of LoRaWAN transmissions and provides accurate air pollution monitoring. In this paper, we show how to organize EDs into clusters and sub-clusters, assign transmission times to EDs, configurate and synchronize them, taking into account the specificities of LoRaWAN and the features of the air pollution monitoring application. Simulation results corroborate the very good behavior of OAPM.

scholarly journals Portable RF-Sensor System for the Monitoring of Air Pollution and Water Contamination

2012 ◽  
Vol 2012 ◽  
pp. 1-5
Author(s):  
Joonhee Kang ◽  
Jin Young Kim
Keyword(s):  
Air Pollution ◽  
Water Contamination ◽  
Low Cost ◽  
Pollution Monitoring ◽  
Sensor System ◽  
Limited Area ◽  
Air Pollution Monitoring ◽  
The Public ◽  
Quality Of Living ◽  
Air Pollution Forecast

Monitoring air pollution including the contents of VOC, O3, NO2, and dusts has attracted a lot of interest in addition to the monitoring of water contamination because it affects directly to the quality of living conditions. Most of the current air pollution monitoring stations use the expensive and bulky instruments and are only installed in the very limited area. To bring the information of the air and water quality to the public in real time, it is important to construct portable monitoring systems and distribute them close to our everyday living places. In this work, we have constructed a low-cost portable RF sensor system by using 400 MHz transceiver to achieve this goal. Accuracy of the measurement was comparable to the ones used in the expensive and bulky commercial air pollution forecast systems.

scholarly journals Development of a low-cost outdoor carbon monoxide analyzer applied to the city of Oran, Algeria.

2020 ◽  
Author(s):  
Farid RAHAL ◽  
Noureddine BENABADJI ◽  
Mohamed BENCHERIF ◽  
Mohamed Menaouer BENCHERIF
Keyword(s):  
Air Pollution ◽  
Carbon Monoxide ◽  
Air Quality ◽  
Electrochemical Sensor ◽  
Low Cost ◽  
Atmospheric Pollutants ◽  
Pollution Monitoring ◽  
Coefficient Of Determination ◽  
Air Pollution Monitoring ◽  
The City

Abstract In Algeria, air pollution is classified as a major risk by the law. However, this risk is underestimated because there is no operational network for measuring air quality on a continuous basis.Despite the heavy investments made to equip several cities with these measurement systems, they are out of order due to a lack of continuous financial support.The alternative to the absence of these air pollution measurement networks can come from the recent development of electrochemical sensor technologies for air quality monitoring which arouses a certain interest because of their miniaturization, low energy consumption and low cost.We developed a low-cost outdoor carbon monoxide analyzer called APOMOS (Air pollution Monitoring System) based on electrochemical sensor managed by microcontroller. An application developed with the Python language makes it possible to manage process and analyze the collected data.In order to validate the APOMOS system, the recorded measurements are compared with measurements taken by a conventional analyzer.Comparison of the measurements resulting from conventional analyzer and those resulting from the APOMOS system gives a coefficient of determination of 98.39 %.Two versions of this system have been designed. A fixed version and another embedded, equipped with a GPS sensor. These 2 variants were used in the city of Oran in Algeria to measure the concentration of carbon monoxide continuously.The targeted pollutant is carbon monoxide. However, the design of the APOMOS system allows its evolution in an easy way in order to integrate other sensors concerning the various atmospheric pollutants.

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