Mobile Carbon Monoxide Monitoring System Based on Arduino-Matlab for Environmental Monitoring Application

Bakri, Nur Azieda Mohd; Junid, Syed Abdul Mutalib Al; Razak, Abdul; Idros, Mohd Faizul Md; Halim, Abdul Karimi

doi:10.1088/1757-899x/99/1/012009

Cited by 11 publications

(2 citation statements)

References 5 publications

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“…Hence, large scale gathering of pollutant information and database development would support Nigeria's regulatory activities and routine checks, and standard protocols [9]. In this sense, Bakri et al and co-workers [10] observed that real time measurement of CO gas is one of the best approaches for studying air particulates and pollutants. Another investigation also understood during their study of spatio-temporal analysis of particulate matter inside Saudi Arabia that data acquired from remote sensing provides better understanding to spatial vagaries of atmospheric pollutants [11].…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Study of Criteria Pollutants in Nigerian City

Anyika

Alisa

Nkwoada

et al. 2020

AJACR

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Aims: An investigation of characteristic long term air pollutants known for temporal and spatial behaviors was conducted due to increased pollution scenarios in Nigerian cities as a result of deprived environmental enforcement of statutory obligations. Study Design: One of the worlds’ most polluted cities (Onitsha lower basin) in Nigeria was selected for spatio-temporal study of three criteria pollutants combined with GIS and MATLAB alongside associated meteorological conditions during harmattan. Methodology: 72-hourly analyses of the nine different locations having 4 sampling sites and 500 meters apart were done from December to February which generated over 19, 440 experimental data per quarter of each annual study. Results: Upper Iweka/Nitel area recorded the highest concentration of SO2 pollutant at (94.2 µg/m3) due to longer residence times and low wind mixing height. Borromeo hospital showed the least active NO2 region but converges at points 1 due to North-east wind dissimilar to sampling points 1 having the lowest PM10 distribution. Measured temperature parameter correlates inversely with relative humidity and precipitation. The GIS spatial representation corresponded to temporal variability of gaseous and particulate pollutants. Conclusion: All sampled areas had AQI above 50; hence the study identified SO2, NO2, and PM10 as Primary pollutants of Onitsha lower basin.

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Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Study of Criteria Pollutants in Nigerian City

Anyika

Alisa

Nkwoada

et al. 2020

AJACR

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“…Several studies have focused on implementing an Arduino-based platform in experiments have been reported [1][2][3][4][5][6]. Arduino [7] is an opensource electronics platform primarily known for its wide range of applications.…”

Section: Introductionmentioning

confidence: 99%

SenseCube—a novel inexpensive wireless multisensor for physics lab experimentations

Mehta¹,

Lane²

2018

Phys. Educ.

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SenseCube is a multisensor capable of measuring many different real-time events and changes in environment. Most conventional sensors used in introductory-physics labs use their own software and have wires that must be attached to a computer or an alternate device to analyze the data. This makes the standard sensors time consuming, tedious, and space-constricted. SenseCube was developed to overcome these limitations. This research was focused on developing a device that is all-encompassing, cost-effective, wireless, and compact, yet can perform the same tasks as the multiple standard sensors normally used in physics labs. It measures more than twenty distinct types of real-time events and transfers the data via Bluetooth. Both Windows and Mac software were developed so that the data from this device can be retrieved and/or saved on either platform. This paper describes the sensor itself, its development, its capabilities, and its cost comparison with standard sensors.

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Platform for monitoring and analysis of air quality in environments with large circulation of people

Soares

Monteiro

Freitas

et al. 2018

Env Prog and Sustain Energy

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Due to the numerous problems raised by the increase in the emission of pollutant gases in the atmosphere, it has become essential a more effective monitoring of air quality. With that, several studies published in recent years have shown a series of mechanisms and techniques with ability to monitor air quality in a variety of ways. Approaching it, this work proposes a platform formed by a wireless sensor network, with the ability to monitor the levels of pollution at several points simultaneously. In addition, was implement the data mining tool, where by means of algorithms classification based on artificial intelligence concepts, it is possible that a more advanced analysis of air quality is performed. The platform was used for the monitoring of two public places, which have large traffic of vehicles and people daily, for a period of 12 consecutive weeks. On weekdays, peaks of 703 ppm of CO2 concentration were measured between 06:00 and 07:00 pm by the sensors located near the highways or avenues with higher traffic of cars. Conversely, indices around 500 ppm were the lowest obtained near 6:00 am where the car traffic is very low. This is the best time for hiking. © 2018 American Institute of Chemical Engineers Environ Prog, 37: 1901–1907, 2018

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Mobile Carbon Monoxide Monitoring System Based on Arduino-Matlab for Environmental Monitoring Application

Cited by 11 publications

References 5 publications

Spatio-Temporal Study of Criteria Pollutants in Nigerian City

Spatio-Temporal Study of Criteria Pollutants in Nigerian City

SenseCube—a novel inexpensive wireless multisensor for physics lab experimentations

Platform for monitoring and analysis of air quality in environments with large circulation of people

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