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Development of an Atmospheric Dust Particle Sizes and Density with other Related Weather Parameters

Author(s):

Ewetumo Theophilus , The federal university of technology, akure, nigeria; Giwa A. Babatunde, Department of physics, The federal university of technology akure ; Fagbami-Akinwale O. Mercy, Department of physics, The federal university of technology akure

Keywords:

Dust Particle Size, Dust Particle Density, Microcontroller, Atmospheric Parameter, Air Quality

Abstract

The main objective of this study is to develop a measuring device to determine the dust particle size and density with some atmospheric weather parameters (temperature and relative humidity). The particulate matter (PM) was subdivided into three: the dust particle of less than 1µm in diameter is PM1.0 µm, any dust particle between 1 µm to 2.5 µm in diameter is referred to as PM2.5 µm and any dust particle greater than 2.5 µm and less than 10 µm in diameter is referred to PM10 µm. The dust instrument developed consist of a dust particle size and density sensor, temperature sensor, humidity sensor, real time clock, storage medium shield, intelligent display and a microcontroller. The dust sensor (SEN0177) utilizes the light scattering and digital Fourier analysis to determine the particle size and density levels, temperature sensor (BMP180) and relative humidity sensor (HIH-4030) were used to measure the temperature and relative humidity of the environment. The sensors were linked to arduino mega 2560 using arduino platform C program for the proper communication with all devices. Each sensor has standard output and the measured output was compared with available instruments around. The correlations of dust sensor, temperature sensor, relative humidity are 0.97, 0.99 and 0.92 respectively. Dust sizes and density has measuring range of 0.3 µm–10 µm with density of 0.0 μg/m^3to 512 μg/m^3 and resolution of 1 μg/m^3, temperature of 0.01 ℃ and 0.001 % of relative humidity. The possible error of dust density is ±0.0015 μg/m^3.

Other Details

Paper ID: IJSRDV7I40823
Published in: Volume : 7, Issue : 4
Publication Date: 01/07/2019
Page(s): 678-682

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