<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "https://jats.nlm.nih.gov/nlm-dtd/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="3.0" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprs-archives-XLII-4-W9-89-2018</article-id>
<title-group>
<article-title>ESTIMATION OF PM&lt;sub&gt;2.5&lt;/sub&gt; VERTICAL DISTRIBUTION USING CUSTOMIZED UAV AND MOBILE SENSORS IN BRGY. UP CAMPUS, DILIMAN, QUEZON CITY</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Babaan</surname>
<given-names>J. B.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ballori</surname>
<given-names>J. P.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tamondong</surname>
<given-names>A. M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ramos</surname>
<given-names>R. V.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ostrea</surname>
<given-names>P. M.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Geodetic Engineering, University of the Philippines – Diliman, Quezon City, Philippines</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Eisenpatt Industrial Engineering Services, Las Piñas City, Philippines</addr-line>
</aff>
<pub-date pub-type="epub">
<day>26</day>
<month>10</month>
<year>2018</year>
</pub-date>
<volume>XLII-4/W9</volume>
<fpage>89</fpage>
<lpage>103</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2018 J. B. Babaan et al.</copyright-statement>
<copyright-year>2018</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLII-4-W9/89/2018/isprs-archives-XLII-4-W9-89-2018.html">This article is available from https://isprs-archives.copernicus.org/articles/XLII-4-W9/89/2018/isprs-archives-XLII-4-W9-89-2018.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLII-4-W9/89/2018/isprs-archives-XLII-4-W9-89-2018.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLII-4-W9/89/2018/isprs-archives-XLII-4-W9-89-2018.pdf</self-uri>
<abstract>
<p>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 PM&lt;sub&gt;2.5&lt;/sub&gt; vertical distribution and the meteorological parameters within 500&amp;thinsp;m altitude on a single flight in UP Diliman, Quezon City. Measurement and mapping of the vertical distribution of particulate matter (PM)&lt;sub&gt;2.5&lt;/sub&gt; 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 PM&lt;sub&gt;2.5&lt;/sub&gt; concentration values are analyzed relative to the meteorological parameters including air speed, pressure, temperature, and relative humidity up to a 500&amp;thinsp;meter-flying height in a single flight in Barangay UP Campus, UP Diliman, Quezon City. The study shows that generally, the PM&lt;sub&gt;2.5&lt;/sub&gt; concentration decreases as the height increases with an exception in the 200&amp;ndash;280&amp;thinsp;m 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 PM&lt;sub&gt;2.5&lt;/sub&gt; concentration has a positive relationship with temperature and a negative relationship with relative humidity and wind speed. As relative humidity and wind speed increases, PM&lt;sub&gt;2.5&lt;/sub&gt; decreases, while as temperature increases, PM&lt;sub&gt;2.5&lt;/sub&gt; also increases.</p>
</abstract>
<counts><page-count count="15"/></counts>
</article-meta>
</front>
<body/>
<back>
</back>
</article>