<?xml version="1.0" encoding="UTF-8"?>
<collection xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd" xmlns="http://www.loc.gov/MARC21/slim">
 <record>
  <leader>00000ctm a22000003a 4500</leader>
  <controlfield tag="001">UP-1685523046126318377</controlfield>
  <controlfield tag="003">Buklod</controlfield>
  <controlfield tag="005">20170726104554.0</controlfield>
  <controlfield tag="006">m     o  j        </controlfield>
  <controlfield tag="007">ta</controlfield>
  <controlfield tag="008">170726s        xx     d     r    |||| u|</controlfield>
  <datafield tag="035" ind1=" " ind2=" ">
   <subfield code="a">(iLib)UPMNL-00015383358</subfield>
  </datafield>
  <datafield tag="040" ind1=" " ind2=" ">
   <subfield code="a">UPM-CPH</subfield>
  </datafield>
  <datafield tag="041" ind1=" " ind2=" ">
   <subfield code="a">eng</subfield>
  </datafield>
  <datafield tag="090" ind1=" " ind2="0">
   <subfield code="a">LG 995 2017 P912</subfield>
   <subfield code="b">E56</subfield>
  </datafield>
  <datafield tag="100" ind1="1" ind2=" ">
   <subfield code="a">Enoveso, Rose Abigail D.</subfield>
  </datafield>
  <datafield tag="245" ind1="0" ind2="0">
   <subfield code="a">Source apportionment of particulate matter 2.5 using positive matrix factorization (PMF) in the Philippine General Hospital</subfield>
   <subfield code="c">Rose Abigail D. Enoveso.</subfield>
  </datafield>
  <datafield tag="264" ind1=" " ind2="1">
   <subfield code="a">2017.</subfield>
  </datafield>
  <datafield tag="300" ind1=" " ind2=" ">
   <subfield code="a">96 leaves</subfield>
   <subfield code="c">29 cm.</subfield>
  </datafield>
  <datafield tag="500" ind1=" " ind2=" ">
   <subfield code="a">Available in CD, pdf copy.</subfield>
  </datafield>
  <datafield tag="502" ind1=" " ind2=" ">
   <subfield code="a">Thesis (Master of Science in Public Health, Environmental Health)--University of the Philippines Manila.</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
   <subfield code="a">Source apportionment analysis was conducted on the data sets from a 2015 PM2.5 characterization study conducted by Lomboy et al. In the Philippine General Hospital (PGH). In the said study, daily PM2.5 samples were collected from October to December 2013 and from March to April 2014 at four sampling locations in the PGH. Sources of the PM2.5 were identified using the Positive Matrix  Factorization (PMF), a receptor model. Over all, six types of sources were identified such as sodium and chlorine sources, sulfur sources, soil dust, biomass burning, and a mixed source. Four of these sources were obtained for the Pediatrics ward, and CENICU while five of these sources were identified for the Medicine ward and NICU. Using the type of ventilation as a stratification, five sources as well as their contributions to total PM Mass were identified for the naturally-ventilated wards namely sodium and chlorine sources (0.12ug/m3, 0.38%), sulfur sources (8.58 ug/m3, 28.74%), road dust (1.47 ug/m3, 4.92%), soil dust (0.71 ug/m3, 2.38%), and biomass burning (8.40 ug/m3, 28.13%) with an unaccounted mass of 10.58 ug/m3 or 35.45% of the total PM mass. On the other hand, four sources were identified for the mechanically-ventilated wards namely sodium and chlorine sources (0.35 ug/m3, 1.63%), sulfur sources (6.74 ug/m3, 31.7%), soil dust (1.07 ug/m3, 5.04%), and biomass burning (5.26 ugm3, 24.71%) with an unaccounted mass of 7.85 ug/m3 or 36.92% of the total PM mass. Only one of the six factors for all sites, sodium andchlorine sources, are contributed by indoor activities/contaminants, specifically by cleaning agents used in the hospital, while the rest are from outdoor air. Soil dust and sea salt were the only natural sources, leaving the others as anthropogenic. In this light, preventive and control measures may be formulated to minimize the contribution of anthropogenic source inside the hospital by improving the management of cleaning activities. For anthropogenic sources originating from outdoors, building insulation and ventilation systems may be reinforced. Seasonal variation was not established due to limited number of samples and sampling period, thus it is recommended to conduct another source apportionment study with more samples and sampling period of at least one year.</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
   <subfield code="a">Source apportionment.</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
   <subfield code="a">Positive Matrix Factorization.</subfield>
  </datafield>
  <datafield tag="905" ind1=" " ind2=" ">
   <subfield code="a">UP</subfield>
  </datafield>
  <datafield tag="852" ind1="0" ind2=" ">
   <subfield code="a">UPMNL</subfield>
   <subfield code="b">CPH</subfield>
   <subfield code="h">LG 995 2017 P912 E56</subfield>
  </datafield>
  <datafield tag="942" ind1=" " ind2=" ">
   <subfield code="a">Thesis</subfield>
  </datafield>
 </record>
</collection>
