ESTIMATION OF PM 2.5 VERTICAL DISTRIBUTION USING CUSTOMIZED UAV AND MOBILE SENSORS IN BRGY. UP CAMPUS, DILIMAN, QUEZON CITY

被引:12
作者
Babaan, J. B. [1 ]
Ballori, J. P. [1 ]
Tamondong, A. M. [1 ]
Ramos, R. V. [1 ]
Ostrea, P. M. [2 ]
机构
[1] Univ Philippines Diliman, Dept Geodet Engn, Quezon City, Philippines
[2] Eisenpatt Ind Engn Serv, Las Pinas City, Philippines
来源
INTERNATIONAL CONFERENCE ON GEOMATIC & GEOSPATIAL TECHNOLOGY (GGT 2018): GEOSPATIAL AND DISASTER RISK MANAGEMENT | 2018年 / 42-4卷 / W9期
关键词
Unmanned Aerial Vehicle; Air Quality; Quezon City; Monitoring; Particulate matter (PM) Concentration; PM2.5; Meteorological Parameters;
D O I
10.5194/isprs-archives-XLII-4-W9-89-2018
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
As the unmanned aerial vehicle (UAV) technology has gained popularity over the years, it has been introduced for air quality monitoring. This study demonstrates the feasibility of customized UAV with mobile monitoring devices as an effective, flexible, and alternative means to collect three-dimensional air pollutant concentration data. This also shows the vertical distribution of PM concentration and the relationship between the PM2.5 vertical distribution and the meteorological parameters within 500 m altitude on a single flight in UP Diliman, Quezon City. Measurement and mapping of the vertical distribution of particulate matter (PM) (2.5) concentration is demonstrated in this research using integrated air quality sensors and customized Unmanned Aerial Vehicle. The flight covers an area with a radius of 80 meters, following a cylindrical path with 40-meter interval vertically. The PM2.5 concentration values are analyzed relative to the meteorological parameters including air speed, pressure, temperature, and relative humidity up to a 500meter-flying height in a single flight in Barangay UP Campus, UP Diliman, Quezon City. The study shows that generally, the PM2.5 concentration decreases as the height increases with an exception in the 200-280m above ground height interval due to a sudden change of atmospheric conditions at the time of the flight. Using correlation and regression analysis, the statistics shows that PM2.5 concentration has a positive relationship with temperature and a negative relationship with relative humidity and wind speed. As relative humidity and wind speed increases, PM2.5 decreases, while as temperature increases, PM2.5 also increases.
引用
收藏
页码:89 / 103
页数:15
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