<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JEP</journal-id><journal-title-group><journal-title>Journal of Environmental Protection</journal-title></journal-title-group><issn pub-type="epub">2152-2197</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jep.2018.912078</article-id><article-id pub-id-type="publisher-id">JEP-88413</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Air Quality Indices, Sources and Impact on Human Health of PM&lt;sub&gt;10&lt;/sub&gt; and PM&lt;sub&gt;2.5&lt;/sub&gt; in Alexandria Governorate, Egypt
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ashraf</surname><given-names>A. Zahran</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>M.</surname><given-names>Ismail Ibrahim</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Alaa</surname><given-names>El-Din Ramadan</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>M.</surname><given-names>M. Ibrahim</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Matroh Branch Affairs, Alexandria University, Alexandria, Egypt</addr-line></aff><aff id="aff4"><addr-line>Environmental Sciences, Faculty of Science, Alexandria University, Alexandria, Egypt</addr-line></aff><aff id="aff3"><addr-line>Faculty of Science, Alexandria University, Alexandria, Egypt</addr-line></aff><aff id="aff1"><addr-line>Department of Natural Resources and Planning to Development, Environmental Studies and Research Institute, El Sadat University, Sadat City, Egypt</addr-line></aff><pub-date pub-type="epub"><day>06</day><month>11</month><year>2018</year></pub-date><volume>09</volume><issue>12</issue><fpage>1237</fpage><lpage>1261</lpage><history><date date-type="received"><day>6,</day>	<month>August</month>	<year>2018</year></date><date date-type="rev-recd"><day>9,</day>	<month>November</month>	<year>2018</year>	</date><date date-type="accepted"><day>12,</day>	<month>November</month>	<year>2018</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  In this study, PM
  <sub>10</sub> and PM
  <sub>2.5</sub> were measured in seven sites representing different activities (the same sites of EEAA monitoring stations) in addition to eighth site that used as a background. All results were higher than AQLs of EEAA, US/EPA, and EC although PM
  <sub>10</sub> and PM
  <sub>2.5</sub> are considered to be a direct cause of cardiovascular diseases as well as lead to death and it may be a reason for a number of chest diseases in short-term as well as long-term. Results were compared to the Air Quality Forecast system which developed by EEAA and
  <b> </b>AQI which created by US/EPA was calculated for some PM
  <sub>10</sub> and PM
  <sub>2.5</sub>. Probable potential anthropogenic sources for such high concentrations of PM included unpaved roads, indiscriminate demolition and construction work, industrial activities, and solid wastes. This study resulted in a number of suggestions and recommendations include: 1) Implementation of integrated ISO 26000 and ISO 14001, 2) EIMP/EEAA monitoring stations need restructuring plan to cover all areas in Alexandria, 3) EIMP/EEAA must be supported with PM
  <sub>2.5</sub> monitors, 4) PM control systems must be used in all industrial activities to reduce PM pollution from the source, 5) AQL of PM
  <sub>2.5</sub> in the ambient environment must be reduced and it must be included in the working environment parameters, 6) Environmental law must be applied strictly, and 7) Multidisciplinary co-operation especially between environment and public health specialists must be increased.
 
</p></abstract><kwd-group><kwd>Air Pollution</kwd><kwd> PM</kwd><kwd> PM&lt;sub&gt;10&lt;/sub&gt;</kwd><kwd> PM&lt;sub&gt;2.5&lt;/sub&gt;</kwd><kwd> Air Quality Forecast</kwd><kwd> Air Quality Index</kwd><kwd> Human Health</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><sec id="s1_1"><title>1.1. Particulate Matters</title><p>Particulate Matters (PM) are a complex mixture of particles that can be solid, liquid or both vary in size, composition, and origin. The specific composition and size distribution of PM varies by region, time of year, time of day, weather conditions and other factors (WHO, 2001) [<xref ref-type="bibr" rid="scirp.88413-ref1">1</xref>]. <sup> </sup></p><sec id="s1_1_1"><title>1.1.1. PM Categories</title><p>PM can be divided into four categories:</p><p>• TSP: (Total Suspended Particulates): particulate matter with an upper size limit of approximately 100 &#181;m.</p><p>• PM<sub>10</sub>: particles with a diameter less than 10 micrometers (course particles), such as those found near roadways and dusty industries, and pose a health concern because they can be inhaled into and accumulate in the respiratory system.</p><p>• PM<sub>2.5</sub>: particles with a diameter less than 2.5 micrometers (fine particulates) such as those found in smoke and haze, and are believed to pose the largest health risks. PM<sub>2.5</sub> has very small size less than one-seventh the average width of a human hair and can lodge deeply into the lungs and reach terminal bronchioles and alveoli.</p><p>• UFPs (Ultrafine Particulates): particles with a diameter less than 0.1 micrometer (PM<sub>0.1</sub>) (WHO, 2001) [<xref ref-type="bibr" rid="scirp.88413-ref1">1</xref>].</p></sec><sec id="s1_1_2"><title>1.1.2. PM Sources</title><p>It is imperative to survey sources to solve the problem of PM high concentrations. PM sources may be natural or anthropogenic: 1) Natural sources that include dust storms, pollen grains and spores, volcanic eruptions, forest and grassland fires and sea spray. 2) Anthropogenic sources that include industrial processes, combustion of fossil fuel, either by stationary sources or by transportation, construction and demolition activities, exciting of road dust in the atmosphere (especially in unpaved roads), domestic solid waste, smoking, and agricultural operations (US EPA, Dec. 2009) [<xref ref-type="bibr" rid="scirp.88413-ref2">2</xref>].</p></sec><sec id="s1_1_3"><title>1.1.3. Health Effects</title><p>Exposure to PM<sub>10</sub> and PM<sub>2.5</sub> has adverse effects on human health whether in the short or long terms. US/EPA published a reference about Integrated Science Assessment for Particulate Matter (ISA PM) in December 2009, which included inventory of different health effects of PM<sub>10</sub> and PM<sub>2.5</sub> which scientific studies had shown that there was an explicit correlation between PM concentrations and these diseases. (US EPA, Dec.2009) [<xref ref-type="bibr" rid="scirp.88413-ref2">2</xref>].</p><p>1) Exposure to PM<sub>2.5</sub></p><p>PM<sub>2.5</sub> considered more influential than PM<sub>10</sub> on human health because of its ability to penetrate the respiratory system and access to trachea and primary bronchi. Research studies have shown that exposure to large concentrations of PM<sub>2.5</sub> leads to different health problems in respiratory and circulatory systems and cause mortality as shown in <xref ref-type="table" rid="table1">Table 1</xref> (US EPA, Dec.2009) [<xref ref-type="bibr" rid="scirp.88413-ref2">2</xref>].</p><p>2) Exposure to PM<sub>10-2.5</sub></p><p>Different epidemiologic studies have done to find correlation between PM<sub>10</sub> concentrations and different health diseases as shown in <xref ref-type="table" rid="table2">Table 2</xref> (US EPA, Dec.2009) [<xref ref-type="bibr" rid="scirp.88413-ref2">2</xref>].</p></sec></sec><sec id="s1_2"><title>1.2. Air Quality Index</title><p>The AQI is an index for reporting daily air quality. As the AQI increases, an increasingly large percentage of the population is likely to experience increasingly severe adverse health effects. Different countries have their own air quality indices that are not all consistent. Different countries also use different names for their indices such as Air Pollution Index and Pollutant Standards Index (PSI). Computing AQI requires an air pollutant concentration from a monitor or model. The function used to convert from air pollutant concentration to AQI varies by pollutant, and is different in different countries. AQI values are divided into ranges, and each range is assigned a descriptor and a color code. Standardized public health advisories are associated with each AQI range (David Mintz, Sept. 2012) [<xref ref-type="bibr" rid="scirp.88413-ref3">3</xref>].</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Summary of causal determinations for short-term exposure to PM<sub>2.5</sub></title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Size fraction</th><th align="center" valign="middle" >Exposure</th><th align="center" valign="middle" >Outcome</th><th align="center" valign="middle" >Causality determination</th></tr></thead><tr><td align="center" valign="middle"  rowspan="4"  >PM<sub>2.5</sub></td><td align="center" valign="middle"  rowspan="4"  >Short-term</td><td align="center" valign="middle" >Cardiovascular Effects</td><td align="center" valign="middle" >Causal</td></tr><tr><td align="center" valign="middle" >Respiratory Effects</td><td align="center" valign="middle" >Likely To Be Causal</td></tr><tr><td align="center" valign="middle" >Central Nervous System</td><td align="center" valign="middle" >Inadequate</td></tr><tr><td align="center" valign="middle" >Mortality</td><td align="center" valign="middle" >Causal</td></tr><tr><td align="center" valign="middle"  rowspan="5"  >PM<sub>2.5</sub></td><td align="center" valign="middle"  rowspan="5"  >Long-term</td><td align="center" valign="middle" >Cardiovascular Effects</td><td align="center" valign="middle" >Causal</td></tr><tr><td align="center" valign="middle" >Respiratory Effects</td><td align="center" valign="middle" >Likely To Be Causal</td></tr><tr><td align="center" valign="middle" >Mortality</td><td align="center" valign="middle" >Causal</td></tr><tr><td align="center" valign="middle" >Reproductive And Developmental</td><td align="center" valign="middle" >Suggestive</td></tr><tr><td align="center" valign="middle" >Cancer, Mutagenicity, And Genotoxicity</td><td align="center" valign="middle" >Suggestive</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Summary of causal determinations for short and long-term exposure to PM<sub>10-2.5</sub></title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Size Fraction</th><th align="center" valign="middle" >Exposure</th><th align="center" valign="middle" >Outcome</th><th align="center" valign="middle" >Causality Determination</th></tr></thead><tr><td align="center" valign="middle"  rowspan="9"  >PM<sub>10-2.5</sub></td><td align="center" valign="middle"  rowspan="4"  >Short-term</td><td align="center" valign="middle" >Cardiovascular effects</td><td align="center" valign="middle" >Suggestive</td></tr><tr><td align="center" valign="middle" >Respiratory effects</td><td align="center" valign="middle" >Suggestive</td></tr><tr><td align="center" valign="middle" >Central nervous system</td><td align="center" valign="middle" >Inadequate</td></tr><tr><td align="center" valign="middle" >Mortality</td><td align="center" valign="middle" >Suggestive</td></tr><tr><td align="center" valign="middle"  rowspan="5"  >Long-term</td><td align="center" valign="middle" >Cardiovascular effects</td><td align="center" valign="middle" >Inadequate</td></tr><tr><td align="center" valign="middle" >Respiratory effects</td><td align="center" valign="middle" >Inadequate</td></tr><tr><td align="center" valign="middle" >Mortality</td><td align="center" valign="middle" >Inadequate</td></tr><tr><td align="center" valign="middle" >Reproductive and developmental</td><td align="center" valign="middle" >Inadequate</td></tr><tr><td align="center" valign="middle" >Cancer, mutagenicity, genotoxicity</td><td align="center" valign="middle" >Inadequate</td></tr></tbody></table></table-wrap></sec><sec id="s1_3"><title>1.3. Study Area</title><p>The study area is Alexandria governorate, the second largest industrial city in Egypt. It has the latitude and longitude of 31˚13'N and 29˚58'E, with a population more than 4.6 million according to the latest report of CAPMAS, 2012 [<xref ref-type="bibr" rid="scirp.88413-ref4">4</xref>]. Measurements and survey carried out in the seven sites of EEAA monitoring stations and eighth site as background as shown in <xref ref-type="table" rid="table3">Table 3</xref> and <xref ref-type="fig" rid="fig1">Figure 1</xref> (IDSC, Dec 2011) [<xref ref-type="bibr" rid="scirp.88413-ref5">5</xref>].</p></sec><sec id="s1_4"><title>1.4. Environmental Problem</title><p>This thesis was prepared to study the environmental problem of the very high concentrations of PM<sub>10</sub> and PM<sub>2.5</sub> that have serious health effects. Available data as in WHO report about polluted cities classified Egypt as one of the most polluted countries all over the world (WHO, 2001) [<xref ref-type="bibr" rid="scirp.88413-ref7">7</xref>] , CAPMAS Annual reports from 2003 to 2011 recorded that the annual average concentrations of PM<sub>10</sub> in Alexandria city were higher than AQLs (IDSC, Dec 2011) [<xref ref-type="bibr" rid="scirp.88413-ref5">5</xref>] , as shown in <xref ref-type="table" rid="table4">Table 4</xref> and <xref ref-type="fig" rid="fig2">Figure 2</xref>. In addition, there is lacking of data about PM<sub>2.5</sub> although it has highly risk impact than PM<sub>10</sub>.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Sites of EEAA monitoring stations in Alexandria. (http://www.eeaa.gov.eg/eimp/Sites&amp;indicators.html (Last visit: 03/07/2015)) [<xref ref-type="bibr" rid="scirp.88413-ref6">6</xref>]</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >ID (*)</th><th align="center" valign="middle" >Site</th><th align="center" valign="middle" >Area Type</th><th align="center" valign="middle" >Latitude (N)</th><th align="center" valign="middle" >Longitude (E)</th></tr></thead><tr><td align="center" valign="middle" >28</td><td align="center" valign="middle" >Abu Qir</td><td align="center" valign="middle" >Industrial</td><td align="center" valign="middle" >31˚16'08.88''</td><td align="center" valign="middle" >30˚05'47.44''</td></tr><tr><td align="center" valign="middle" >42</td><td align="center" valign="middle" >El-Shouhada</td><td align="center" valign="middle" >Traffic</td><td align="center" valign="middle" >31˚11'27.49''</td><td align="center" valign="middle" >29˚54'07.57''</td></tr><tr><td align="center" valign="middle" >29</td><td align="center" valign="middle" >El-Max</td><td align="center" valign="middle" >Industrial</td><td align="center" valign="middle" >31˚08'29.73''</td><td align="center" valign="middle" >29˚50'34.11''</td></tr><tr><td align="center" valign="middle" >30</td><td align="center" valign="middle" >IGSR</td><td align="center" valign="middle" >Traffic</td><td align="center" valign="middle" >31˚12'09.66''</td><td align="center" valign="middle" >29˚55'07.39''</td></tr><tr><td align="center" valign="middle" >31</td><td align="center" valign="middle" >El-Asafra</td><td align="center" valign="middle" >Residential</td><td align="center" valign="middle" >31˚16'18.07''</td><td align="center" valign="middle" >30˚00'24.74''</td></tr><tr><td align="center" valign="middle" >32</td><td align="center" valign="middle" >Gheat El-Inab</td><td align="center" valign="middle" >Residential</td><td align="center" valign="middle" >31˚10'41.93''</td><td align="center" valign="middle" >29˚54'10.28''</td></tr><tr><td align="center" valign="middle" >41</td><td align="center" valign="middle" >El-Nahda</td><td align="center" valign="middle" >Industrial</td><td align="center" valign="middle" >30˚59'43.00''</td><td align="center" valign="middle" >29˚50'58.36''</td></tr><tr><td align="center" valign="middle"  colspan="2"  >North Coast</td><td align="center" valign="middle" >Background</td><td align="center" valign="middle" >30˚57'55.28''</td><td align="center" valign="middle" >29˚32'04.07''</td></tr></tbody></table></table-wrap><p><sup>(*)according</sup> to EIMP/EEAA.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Annual Average Concentrations of PM<sub>10</sub> (μg/m<sup>3</sup>) (IDSC, Dec 2011) [<xref ref-type="bibr" rid="scirp.88413-ref5">5</xref>]</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Year</th><th align="center" valign="middle"  rowspan="2"  >Annual Average Conc. of PM<sub>10</sub> (μg/m<sup>3</sup>)</th><th align="center" valign="middle"  colspan="3"  >AQLs</th></tr></thead><tr><td align="center" valign="middle" >EEAA</td><td align="center" valign="middle" >US/EPA</td><td align="center" valign="middle" >EC</td></tr><tr><td align="center" valign="middle" >2003</td><td align="center" valign="middle" >161.5</td><td align="center" valign="middle"  rowspan="10"  >100</td><td align="center" valign="middle"  rowspan="10"  >50 <sup>(*)</sup></td><td align="center" valign="middle"  rowspan="10"  >40</td></tr><tr><td align="center" valign="middle" >2004</td><td align="center" valign="middle" >153.9</td></tr><tr><td align="center" valign="middle" >2005</td><td align="center" valign="middle" >150.3</td></tr><tr><td align="center" valign="middle" >2006</td><td align="center" valign="middle" >202.1</td></tr><tr><td align="center" valign="middle" >2007</td><td align="center" valign="middle" >190.8</td></tr><tr><td align="center" valign="middle" >2008</td><td align="center" valign="middle" >189.8</td></tr><tr><td align="center" valign="middle" >2009</td><td align="center" valign="middle" >215</td></tr><tr><td align="center" valign="middle" >2010</td><td align="center" valign="middle" >198.8</td></tr><tr><td align="center" valign="middle" >2011</td><td align="center" valign="middle" >146</td></tr><tr><td align="center" valign="middle" >Average</td><td align="center" valign="middle" >179</td></tr></tbody></table></table-wrap><p><sup>(*)</sup>US/EPA revoked the annual PM<sub>10</sub> NAAQS in 2006.</p></sec></sec><sec id="s2"><title>2. Material and Methods</title><sec id="s2_1"><title>2.1. Monitoring Instruments</title><p>To complete this research, multiple devices have been used such as, CEL-712 MICRO DUST PRO to measure PM<sub>10</sub> and PM<sub>2.5,</sub> GPS to determine locations of measurement points on the map, and digital camera to document different activities of the ambient measurement locations which would help us in the interpretation of the figures and results.</p></sec><sec id="s2_2"><title>2.2. Previous Data Sources</title><p>Previous data collected from different sources such as (EEAA) and (CAPMAS), <xref ref-type="table" rid="table4">Table 4</xref>.</p></sec><sec id="s2_3"><title>2.3. Metrological Data</title><p>Climatic variables are considered as one of the very important factors in understanding and analyzing any results of all air pollutants and significantly affect the concentration of pollutants in the air and help in identifying places which highly affected by any contaminant.</p></sec><sec id="s2_4"><title>2.4. Legislations</title><p>Results of PM<sub>10</sub> and PM<sub>2.5</sub> measurements compared to AQLs in:</p><p>1) The local legislations that issued by the ministry of state for environmental affairs represented by EEAA as shown in <xref ref-type="table" rid="table5">Table 5</xref>.</p><p>2) AQLs of US/EPA as shown in <xref ref-type="table" rid="table6">Table 6</xref>.</p><p>3) AQLs of EC as shown in <xref ref-type="table" rid="table7">Table 7</xref>.</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> AQLs for PM, EEAA (EEAA, 2011) [<xref ref-type="bibr" rid="scirp.88413-ref8">8</xref>].<sup> </sup></title></caption><table><tbody><thead><tr><th align="center" valign="middle" >The recent amendment</th><th align="center" valign="middle" >Parameter</th><th align="center" valign="middle" >Averaging Time</th><th align="center" valign="middle" >AQL (&#181;g/m<sup>3</sup>)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="6"  >2011 Decision of the prime minister in 1095 for 2011 amending some provisions of regulations of environmental law no. 4 of 1994</td><td align="center" valign="middle"  rowspan="2"  >TSP</td><td align="center" valign="middle" >24-hour</td><td align="center" valign="middle" >230</td></tr><tr><td align="center" valign="middle" >annual</td><td align="center" valign="middle" >125</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >PM<sub>10</sub></td><td align="center" valign="middle" >24-hour</td><td align="center" valign="middle" >150</td></tr><tr><td align="center" valign="middle" >annual</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >PM<sub>2.5</sub></td><td align="center" valign="middle" >24-hour</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >annual</td><td align="center" valign="middle" >70</td></tr></tbody></table></table-wrap><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> NAAQS for PM, US/EPA. (http://www.epa.gov/ttn/naaqs/standards/pm/s_pm_history.html) (Last visit: 05/ 07/ 2015) [<xref ref-type="bibr" rid="scirp.88413-ref9">9</xref>]</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >The recent rule</th><th align="center" valign="middle" >Primary/ Secondary</th><th align="center" valign="middle" >Indicator</th><th align="center" valign="middle" >Averaging Time</th><th align="center" valign="middle" >Level (&#181;g/m<sup>3</sup>)</th><th align="center" valign="middle" >Form</th></tr></thead><tr><td align="center" valign="middle"  rowspan="4"  >2012</td><td align="center" valign="middle"  rowspan="4"  >primary and secondary</td><td align="center" valign="middle"  rowspan="3"  >PM<sub>2.5</sub></td><td align="center" valign="middle" >annual</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >annual arithmetic mean, averaged over 3 years</td></tr><tr><td align="center" valign="middle" >annual</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >annual arithmetic mean, averaged over 3 years</td></tr><tr><td align="center" valign="middle" >24-hour</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >98<sup>th</sup> percentile, averaged over 3 years</td></tr><tr><td align="center" valign="middle" >PM<sub>10</sub></td><td align="center" valign="middle" >24-hour</td><td align="center" valign="middle" >150</td><td align="center" valign="middle" >not to be exceeded more than once per year on average over a 3-year period</td></tr></tbody></table></table-wrap><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> AQLs of air pollutants for EC (http://ec.europa.eu/environment/air/quality/standards.htm) (Last visit: 05/07/2015) [<xref ref-type="bibr" rid="scirp.88413-ref10">10</xref>]</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Pollutant</th><th align="center" valign="middle" >Conc.</th><th align="center" valign="middle" >Averaging period</th><th align="center" valign="middle" >Legal nature</th><th align="center" valign="middle" >Permitted exceedances each year</th></tr></thead><tr><td align="center" valign="middle" >Fine particles (PM<sub>2.5</sub>)</td><td align="center" valign="middle" >25 &#181;g/m<sup>3</sup></td><td align="center" valign="middle" >1 year</td><td align="center" valign="middle" >target value entered into force 1.1.2010 limit value enters into force 1.1.2015</td><td align="center" valign="middle" >n/a</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >PM<sub>10</sub></td><td align="center" valign="middle" >50 &#181;g/m<sup>3</sup></td><td align="center" valign="middle" >24 hours</td><td align="center" valign="middle" >limit value entered into force 1.1.2005</td><td align="center" valign="middle" >35</td></tr><tr><td align="center" valign="middle" >40 &#181;g/m<sup>3</sup></td><td align="center" valign="middle" >1 year</td><td align="center" valign="middle" >limit value entered into force 1.1.2005</td><td align="center" valign="middle" >n/a</td></tr></tbody></table></table-wrap></sec><sec id="s2_5"><title>2.5. Air Quality Index (AQI)</title><p>AQI is a number used by government agencies to communicate to the public how polluted the air is currently or how polluted it is forecast to become as mentioned above. In this study, AQI of PM in United States (US/EPA, Dec 2011) <sup>(11)</sup>―<xref ref-type="table" rid="table8">Table 8</xref>―and Air Quality Forecast in Egypt (EEAA)―<xref ref-type="table" rid="table9">Table 9</xref>―used for assessment of results.</p><p>The equation that’s used to calculate the AQI is: [<xref ref-type="bibr" rid="scirp.88413-ref3">3</xref>]</p><disp-formula id="scirp.88413-formula26"><graphic  xlink:href="//html.scirp.org/file/3-6703692x4.png"  xlink:type="simple"/></disp-formula><p>where:</p><p>I = the (Air Quality) index,</p><p>C = the pollutant concentration,</p><p>C<sub>low</sub> = the concentration breakpoint that is ≤C,</p><p>C<sub>high</sub> = the concentration breakpoint that is ≥C,</p><p>I<sub>low</sub> = the index breakpoint corresponding to C<sub>low</sub>,</p><p>I<sub>high</sub> = the index breakpoint corresponding to C<sub>high</sub>.</p><p>PM<sub>10</sub> Air Quality Forecast used in this research to create another one for PM<sub>2.5</sub>. Both AQFs consist of the same categories and the same color icons. The only difference was decreasing of ranges according to AQLs. PM<sub>10</sub> has AQL of 150 &#181;g/m<sup>3</sup> for 24-hrs and PM<sub>2.5</sub> has AQL of 100 &#181;g/m<sup>3</sup> for 24-hrs and hence all values of PM<sub>10</sub> Pollution Index was multiplied by correction factor 0.67 to create a new Air Quality Forecast for PM<sub>2.5</sub> as shown in <xref ref-type="table" rid="table1">Table 1</xref>0.</p><table-wrap id="table8" ><label><xref ref-type="table" rid="table8">Table 8</xref></label><caption><title> AQI Ranges, Colors and Descriptors in US/EPA (US/EPA, Dec 2011) [<xref ref-type="bibr" rid="scirp.88413-ref11">11</xref>]</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >AQI Levels of Health Concern</th><th align="center" valign="middle" >Numerical Value</th><th align="center" valign="middle" >Meaning</th></tr></thead><tr><td align="center" valign="middle" >Good</td><td align="center" valign="middle" >0 - 50</td><td align="center" valign="middle" >Air quality is considered satisfactory, and air pollution poses little or no risk.</td></tr><tr><td align="center" valign="middle" >Moderate</td><td align="center" valign="middle" >51 - 100</td><td align="center" valign="middle" >Air quality is acceptable; however, for some pollutants there may be a moderate health concern for a very small number of people who are unusually sensitive to air pollution.</td></tr><tr><td align="center" valign="middle" >Unhealthy, sensitive groups</td><td align="center" valign="middle" >101 - 150</td><td align="center" valign="middle" >Members of sensitive groups may experience health effects. The general public is not likely to be affected.</td></tr><tr><td align="center" valign="middle" >Unhealthy</td><td align="center" valign="middle" >151 - 200</td><td align="center" valign="middle" >Everyone may begin to experience health effects; members of sensitive groups may experience more serious health effects.</td></tr><tr><td align="center" valign="middle" >Very Unhealthy</td><td align="center" valign="middle" >201 - 300</td><td align="center" valign="middle" >Health warnings of emergency conditions. The entire population is more likely to be affected.</td></tr><tr><td align="center" valign="middle" >Hazardous</td><td align="center" valign="middle" >301 - 500</td><td align="center" valign="middle" >Everyone may experience more serious health effects.</td></tr></tbody></table></table-wrap><table-wrap id="table9" ><label><xref ref-type="table" rid="table9">Table 9</xref></label><caption><title> Air Quality Forecast of PM<sub>10</sub>_EEAA (http://www.eeaa.gov.eg/English/main/env_air_aqi.asp (Last visit: 03/07/2015)) [<xref ref-type="bibr" rid="scirp.88413-ref12">12</xref>]</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Air Quality</th><th align="center" valign="middle"  colspan="2"  >Good</th><th align="center" valign="middle" >Moderate</th><th align="center" valign="middle"  colspan="2"  >High</th><th align="center" valign="middle"  colspan="2"  >Very High</th></tr></thead><tr><td align="center" valign="middle" >Classification</td><td align="center" valign="middle" >Clean</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Moderate</td><td align="center" valign="middle" >Attention</td><td align="center" valign="middle" >Alert</td><td align="center" valign="middle" >Warning</td><td align="center" valign="middle" >Emergency</td></tr><tr><td align="center" valign="middle" >PM<sub>10</sub> (&#181;g/m<sup>3</sup>)</td><td align="center" valign="middle" >0 - 99</td><td align="center" valign="middle" >100 - 199</td><td align="center" valign="middle" >200 - 349</td><td align="center" valign="middle" >350 - 419</td><td align="center" valign="middle" >420 - 549</td><td align="center" valign="middle" >550 - 649</td><td align="center" valign="middle" >&gt;650</td></tr></tbody></table></table-wrap><table-wrap id="table10" ><label><xref ref-type="table" rid="table1">Table 1</xref>0</label><caption><title> New Air Quality Forecast of PM<sub>2.5</sub></title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Air Quality</th><th align="center" valign="middle"  colspan="2"  >Good</th><th align="center" valign="middle" >Moderate</th><th align="center" valign="middle"  colspan="2"  >High</th><th align="center" valign="middle"  colspan="2"  >Very High</th></tr></thead><tr><td align="center" valign="middle" >Classification</td><td align="center" valign="middle" >Clean</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Moderate</td><td align="center" valign="middle" >Attention</td><td align="center" valign="middle" >Alert</td><td align="center" valign="middle" >Warning</td><td align="center" valign="middle" >Emergency</td></tr><tr><td align="center" valign="middle" >PM<sub>2.5</sub> (&#181;g/m<sup>3</sup>)</td><td align="center" valign="middle" >0 - 66</td><td align="center" valign="middle" >67 - 133</td><td align="center" valign="middle" >134 - 233</td><td align="center" valign="middle" >234 - 279</td><td align="center" valign="middle" >280 - 366</td><td align="center" valign="middle" >367 - 433</td><td align="center" valign="middle" >&gt; 434</td></tr></tbody></table></table-wrap></sec><sec id="s2_6"><title>2.6. Study Area; Alexandria Governorate</title><p>The study area was Alexandria Governorate; major industrial center in Egypt. Alexandria lies on the Mediterranean Sea at the western edge of the Nile River delta as shown in <xref ref-type="fig" rid="fig3">Figure 3</xref>. It has the latitude and longitude of 31˚13'N and 29˚58'E. On 01 January 2013, population in Alexandria has reached to 4,616,625 citizens that represent approximately 5% of the population of Egypt (CAPMAS, 2012) [<xref ref-type="bibr" rid="scirp.88413-ref4">4</xref>].</p><p>Alexandria is considered a moderate climate to great extent compared to other governorates. Temperatures range between 4˚C in the winter season, 39˚C in the summer season and average annual temperature reach to 21˚C. Total rainfall has reached 150.64 mm during 12 months (from 01 July 2014 to 30 June 2015). As for the wind, the average wind speed over the past year did not exceed 12 km/hr and the prevailing wind in Alexandria always has been from the northwest. PM measurements were conducted during the last month of spring season (from May 21, 2015 to June 20, 2015). These period recorded readings were very close to the annual average temperature and wind speed as shown in <xref ref-type="table" rid="table1">Table 1</xref>1, as well as this period did not record rainfall at all and hence there no wet deposition of PM occurred (http://www.wunderground.com) [<xref ref-type="bibr" rid="scirp.88413-ref13">13</xref>].</p></sec></sec><sec id="s3"><title>3. Results and Discussion</title><p>PM<sub>10</sub> and PM<sub>2.5</sub> were measured in seven sites in Alexandria which representing different activities as shown in <xref ref-type="fig" rid="fig4">Figure 4</xref>. These sites include Abu Keir, El-shouhada Square, El-Max, IGSR, El-Asafra, Ghait El-Inab, and El-Nahda.</p><p>For PM<sub>10</sub> Results, El-Nahda site recorded the highest average concentration (1805 &#181;g/m<sup>3</sup>), while Ghait El-Inab site recorded the lower average concentration (170 &#181;g/m<sup>3</sup>). When comparing concentrations to AQLs of EEAA and US/EPA (150 &#181;g/m<sup>3</sup>); All sites were higher than AQLs except Ghait El-Inab. When comparing concentrations to AQL of EC (50 &#181;g/m<sup>3</sup>); All sites were higher than AQLs as shown in <xref ref-type="table" rid="table1">Table 1</xref>2 and <xref ref-type="fig" rid="fig5">Figure 5</xref>.</p><p>For PM<sub>2.5</sub> Results, El-Nahda site also recorded the highest average concentration (1368 &#181;g/m<sup>3</sup>), while Ghait El-Inab site recorded the lower average concentration (70 &#181;g/m<sup>3</sup>). When comparing concentrations to AQL of EEAA (100 &#181;g/m<sup>3</sup>); All sites were higher than AQL except Ghait El-Inab. When you compare results up to AQL of US/EPA (35 &#181;g/m<sup>3</sup>); All sites were higher than AQL without any exceptions as is shown in <xref ref-type="table" rid="table1">Table 1</xref>3 and <xref ref-type="fig" rid="fig6">Figure 6</xref>.</p><p>PM<sub>10</sub> and PM<sub>2.5</sub> were compared to the Air Quality Forecast which created by EEAA. For PM<sub>10</sub> Results, three sites were classified as “Emergency” (&gt;650 &#181;g/m<sup>3</sup>) while two sites were classified as “Alert” (420 to 549 &#181;g/m<sup>3</sup>) while one site was</p><table-wrap id="table11" ><label><xref ref-type="table" rid="table1">Table 1</xref>1</label><caption><title> Metrological data, El-Nouzha station, Alexandria (21 May: 20 June 2015). (http://www.wunderground.com) [<xref ref-type="bibr" rid="scirp.88413-ref13">13</xref>]</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Max</th><th align="center" valign="middle" >Avg</th><th align="center" valign="middle" >Min</th><th align="center" valign="middle" >Sum</th></tr></thead><tr><td align="center" valign="middle"  colspan="5"  >Temperature</td></tr><tr><td align="center" valign="middle" >Max Temperature (˚C)</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mean Temperature (˚C)</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Min Temperature (˚C)</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="5"  >Degree Days</td></tr><tr><td align="center" valign="middle" >Heating Degree Days (base 65)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Cooling Degree Days (base 65)</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >335</td></tr><tr><td align="center" valign="middle" >Growing Degree Days (base 50)</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >805</td></tr><tr><td align="center" valign="middle"  colspan="5"  >Dew Point</td></tr><tr><td align="center" valign="middle" >Dew Point (˚C)</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="5"  >Precipitation</td></tr><tr><td align="center" valign="middle" >Precipitation (mm)</td><td align="center" valign="middle" >0.0</td><td align="center" valign="middle" >0.0</td><td align="center" valign="middle" >0.0</td><td align="center" valign="middle" >0.0</td></tr><tr><td align="center" valign="middle" >Snow depth</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle"  colspan="5"  >Wind</td></tr><tr><td align="center" valign="middle" >Wind (km/h)</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Gust Wind</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="5"  >Sea Level Pressure</td></tr><tr><td align="center" valign="middle" >Sea Level Pressure (hPa)</td><td align="center" valign="middle" >1017</td><td align="center" valign="middle" >1012</td><td align="center" valign="middle" >1004</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><table-wrap id="table12" ><label><xref ref-type="table" rid="table1">Table 1</xref>2</label><caption><title> Summary of results for PM<sub>10</sub> measurements in all sites</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >ID</th><th align="center" valign="middle"  rowspan="2"  >Area</th><th align="center" valign="middle"  rowspan="2"  >Area Type</th><th align="center" valign="middle"  colspan="2"  >Site Coordinates</th><th align="center" valign="middle"  rowspan="2"  >Parameter</th><th align="center" valign="middle"  rowspan="2"  >Concentration (μg/m<sup>3</sup>)</th><th align="center" valign="middle"  colspan="3"  >AQL (μg/m<sup>3</sup>) for 24-hrs</th></tr></thead><tr><td align="center" valign="middle" >Latitudes (N)</td><td align="center" valign="middle" >Longitudes (E)</td><td align="center" valign="middle" >EEAA</td><td align="center" valign="middle" >US/EPA</td><td align="center" valign="middle" >EC</td></tr><tr><td align="center" valign="middle" >28</td><td align="center" valign="middle" >Abu Keir</td><td align="center" valign="middle" >Industrial</td><td align="center" valign="middle" >31˚16'8.88''</td><td align="center" valign="middle" >30˚05'47.44''</td><td align="center" valign="middle"  rowspan="8"  >PM<sub>10</sub></td><td align="center" valign="middle" >394</td><td align="center" valign="middle"  rowspan="8"  >150</td><td align="center" valign="middle"  rowspan="8"  >150</td><td align="center" valign="middle"  rowspan="8"  >50</td></tr><tr><td align="center" valign="middle" >42</td><td align="center" valign="middle" >EL-Shohada</td><td align="center" valign="middle" >Traffic</td><td align="center" valign="middle" >31˚11'27.49''</td><td align="center" valign="middle" >29˚54'7.57''</td><td align="center" valign="middle" >457</td></tr><tr><td align="center" valign="middle" >29</td><td align="center" valign="middle" >EL-Max</td><td align="center" valign="middle" >Industrial</td><td align="center" valign="middle" >31˚8'29.73''</td><td align="center" valign="middle" >29˚50'34.11''</td><td align="center" valign="middle" >1020</td></tr><tr><td align="center" valign="middle" >30</td><td align="center" valign="middle" >IGSR</td><td align="center" valign="middle" >Traffic</td><td align="center" valign="middle" >31˚12'09.66''</td><td align="center" valign="middle" >29˚55'07.39''</td><td align="center" valign="middle" >921</td></tr><tr><td align="center" valign="middle" >31</td><td align="center" valign="middle" >EL-Asafra</td><td align="center" valign="middle" >Residential</td><td align="center" valign="middle" >31˚16'18.07''</td><td align="center" valign="middle" >30˚00'24.74''</td><td align="center" valign="middle" >545</td></tr><tr><td align="center" valign="middle" >32</td><td align="center" valign="middle" >Ghait El-Inab</td><td align="center" valign="middle" >Residential</td><td align="center" valign="middle" >31˚10'41.93''</td><td align="center" valign="middle" >29˚54'10.28''</td><td align="center" valign="middle" >170</td></tr><tr><td align="center" valign="middle" >41</td><td align="center" valign="middle" >El-Nahda</td><td align="center" valign="middle" >Industrial</td><td align="center" valign="middle" >30˚59'43.00''</td><td align="center" valign="middle" >29˚50'58.36''</td><td align="center" valign="middle" >1805</td></tr><tr><td align="center" valign="middle"  colspan="2"  >North Coast</td><td align="center" valign="middle" >Background</td><td align="center" valign="middle" >30˚57'55.28''</td><td align="center" valign="middle" >29˚32'04.07''</td><td align="center" valign="middle" >108</td></tr></tbody></table></table-wrap><table-wrap-group id="13"><label><xref ref-type="table" rid="table1">Table 1</xref>3</label><caption><title> Summary of PM<sub>10</sub> Air quality forecasts according to EEAA limits</title></caption><table-wrap id="13_1"><table><tbody><thead><tr><th align="center" valign="middle" >Classification</th><th align="center" valign="middle" >Clean</th><th align="center" valign="middle" >Normal</th><th align="center" valign="middle" >Moderate</th><th align="center" valign="middle" >Attention</th><th align="center" valign="middle" >Alert</th><th align="center" valign="middle" >Warning</th><th align="center" valign="middle" >Emergency</th></tr></thead><tr><td align="center" valign="middle" >PM<sub>10</sub> (&#181;g/m<sup>3</sup>)</td><td align="center" valign="middle" >0 - 99</td><td align="center" valign="middle" >100 - 199</td><td align="center" valign="middle" >200 - 349</td><td align="center" valign="middle" >350 - 419</td><td align="center" valign="middle" >420 - 549</td><td align="center" valign="middle" >550 - 649</td><td align="center" valign="middle" >&gt;650</td></tr></tbody></table></table-wrap><table-wrap id="13_2"><table><tbody><thead><tr><th align="center" valign="middle" >Sites</th><th align="center" valign="middle" >-</th><th align="center" valign="middle" >Ghait El-Inab Background Site</th><th align="center" valign="middle" >-</th><th align="center" valign="middle" >Abu Keir</th><th align="center" valign="middle" >EL-Shouhada EL-Asafra</th><th align="center" valign="middle" >-</th><th align="center" valign="middle" >EL-Max El-Nahda IGSR</th></tr></thead><tr><td align="center" valign="middle" >No. of Sites</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >3</td></tr></tbody></table></table-wrap></table-wrap-group><p>classified as “Attention” (350 to 419 &#181;g/m<sup>3</sup>) and another site was classified as “Normal” (100 to 199 &#181;g/m<sup>3</sup>) as shown in <xref ref-type="table" rid="table1">Table 1</xref>4 and <xref ref-type="fig" rid="fig7">Figure 7</xref>. For PM<sub>2.5</sub> Results, five sites were classified as “Emergency” (&gt;434 &#181;g/m<sup>3</sup>) while one site was</p><table-wrap id="table14" ><label><xref ref-type="table" rid="table1">Table 1</xref>4</label><caption><title> Summary of PM<sub>10</sub> AQIs according to US/EPA limits</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Category</th><th align="center" valign="middle"  rowspan="2"  >I<sub>low</sub> - I<sub>high</sub></th><th align="center" valign="middle"  colspan="2"  >PM<sub>10</sub> (&#181;g/m<sup>3</sup>)</th><th align="center" valign="middle"  rowspan="2"  >AQI</th><th align="center" valign="middle"  rowspan="2"  >Sites</th></tr></thead><tr><td align="center" valign="middle" >C<sub>low</sub> - C<sub>high</sub></td><td align="center" valign="middle" >C (measured)</td></tr><tr><td align="center" valign="middle" >Good</td><td align="center" valign="middle" >0 - 50</td><td align="center" valign="middle" >0 - 54</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Moderate</td><td align="center" valign="middle" >51 - 100</td><td align="center" valign="middle" >55 - 154</td><td align="center" valign="middle" >108</td><td align="center" valign="middle" >77</td><td align="center" valign="middle" >Background Site</td></tr><tr><td align="center" valign="middle" >Unhealthy for Sensitive Groups</td><td align="center" valign="middle" >101 - 150</td><td align="center" valign="middle" >155 - 254</td><td align="center" valign="middle" >170</td><td align="center" valign="middle" >108</td><td align="center" valign="middle" >Ghait El-Inab</td></tr><tr><td align="center" valign="middle" >Unhealthy</td><td align="center" valign="middle" >151 - 200</td><td align="center" valign="middle" >255 - 354</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Very Unhealthy</td><td align="center" valign="middle" >201 - 300</td><td align="center" valign="middle" >355 - 424</td><td align="center" valign="middle" >394</td><td align="center" valign="middle" >257</td><td align="center" valign="middle" >Abu Keir</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Hazardous</td><td align="center" valign="middle" >301 - 400</td><td align="center" valign="middle" >425 - 504</td><td align="center" valign="middle" >457</td><td align="center" valign="middle" >341</td><td align="center" valign="middle" >EL-Shohada</td></tr><tr><td align="center" valign="middle" >401 - 500</td><td align="center" valign="middle" >505 - 604</td><td align="center" valign="middle" >545</td><td align="center" valign="middle" >441</td><td align="center" valign="middle" >EL-Asafra</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >N/A</td><td align="center" valign="middle"  rowspan="2"  >N/A</td><td align="center" valign="middle"  rowspan="2"  >&gt;604 &#181;g/m<sup>3</sup></td><td align="center" valign="middle" >921</td><td align="center" valign="middle" >N/A</td><td align="center" valign="middle" >IGSR</td></tr><tr><td align="center" valign="middle" >1020</td><td align="center" valign="middle" >N/A</td><td align="center" valign="middle" >EL-Max</td></tr></tbody></table></table-wrap><p>classified as “Moderate” (134 to: 233 &#181;g/m<sup>3</sup>) and another site was classified as “Normal” (133 to 67 &#181;g/m<sup>3</sup>) as shown in <xref ref-type="table" rid="table1">Table 1</xref>5 and <xref ref-type="fig" rid="fig8">Figure 8</xref>.</p><p>In addition, PM<sub>10</sub> and PM<sub>2.5</sub> concentrations were compared to the AQI which created by US/EPA. These AQIs calculated according to the previous equation that mentioned in 3.5.2. AQIs were not applicable for three sites that have PM<sub>10</sub> concentrations higher than 604 &#181;g/m<sup>3</sup> as shown in <xref ref-type="table" rid="table1">Table 1</xref>6 and for five sites that have PM<sub>2.5</sub> concentrations higher than 500.4 &#181;g/m<sup>3</sup> as shown in <xref ref-type="table" rid="table1">Table 1</xref>7.</p><p>The background measurement site in the north coast recorded 108 μg/m<sup>3</sup> for PM<sub>10</sub> while PM<sub>2.5</sub> recorded 85 μg/m<sup>3</sup> and both were below than AQLs of EEAA and classified as “Normal” in the EEAA Air Quality Forecast.</p><sec id="s3_1"><title>3.1. Expected Sources of PM</title><p>There are several potential sources of PM pollution which was noticed during</p><table-wrap id="table15" ><label><xref ref-type="table" rid="table1">Table 1</xref>5</label><caption><title> Summary of results for PM<sub>2.5</sub> measurements in all sites</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >ID</th><th align="center" valign="middle"  rowspan="2"  >Area</th><th align="center" valign="middle"  rowspan="2"  >Area Type</th><th align="center" valign="middle"  colspan="2"  >Site Coordinates</th><th align="center" valign="middle"  rowspan="2"  >Parameter</th><th align="center" valign="middle"  rowspan="2"  >Concentration (μg/m<sup>3</sup>)</th><th align="center" valign="middle"  colspan="3"  >AQL (μg/m<sup>3</sup>) for 24-hrs</th></tr></thead><tr><td align="center" valign="middle" >Latitudes (N)</td><td align="center" valign="middle" >Longitudes (E)</td><td align="center" valign="middle" >EEAA</td><td align="center" valign="middle" >US/EPA</td><td align="center" valign="middle" >EC</td></tr><tr><td align="center" valign="middle" >28</td><td align="center" valign="middle" >Abu Keir</td><td align="center" valign="middle" >Industrial</td><td align="center" valign="middle" >31˚16'8.88''</td><td align="center" valign="middle" >30˚05'47.44''</td><td align="center" valign="middle"  rowspan="8"  >PM<sub>2.5</sub></td><td align="center" valign="middle" >596</td><td align="center" valign="middle"  rowspan="8"  >100</td><td align="center" valign="middle"  rowspan="8"  >35</td><td align="center" valign="middle"  rowspan="8"  >-</td></tr><tr><td align="center" valign="middle" >42</td><td align="center" valign="middle" >EL-Shohada</td><td align="center" valign="middle" >Traffic</td><td align="center" valign="middle" >31˚11'27.49''</td><td align="center" valign="middle" >29˚54'7.57''</td><td align="center" valign="middle" >848</td></tr><tr><td align="center" valign="middle" >29</td><td align="center" valign="middle" >EL-Max</td><td align="center" valign="middle" >Industrial</td><td align="center" valign="middle" >31˚8'29.73''</td><td align="center" valign="middle" >29˚50'34.11''</td><td align="center" valign="middle" >1405</td></tr><tr><td align="center" valign="middle" >30</td><td align="center" valign="middle" >IGSR</td><td align="center" valign="middle" >Traffic</td><td align="center" valign="middle" >31˚12'09.66''</td><td align="center" valign="middle" >29˚55'07.39''</td><td align="center" valign="middle" >1368</td></tr><tr><td align="center" valign="middle" >31</td><td align="center" valign="middle" >EL-Asafra</td><td align="center" valign="middle" >Residential</td><td align="center" valign="middle" >31˚16'18.07''</td><td align="center" valign="middle" >30˚00'24.74''</td><td align="center" valign="middle" >171</td></tr><tr><td align="center" valign="middle" >32</td><td align="center" valign="middle" >Ghait El-Inab</td><td align="center" valign="middle" >Residential</td><td align="center" valign="middle" >31˚10'41.93''</td><td align="center" valign="middle" >29˚54'10.28''</td><td align="center" valign="middle" >70</td></tr><tr><td align="center" valign="middle" >41</td><td align="center" valign="middle" >El-Nahda</td><td align="center" valign="middle" >Industrial</td><td align="center" valign="middle" >30˚59'43.00''</td><td align="center" valign="middle" >29˚50'58.36''</td><td align="center" valign="middle" >1547</td></tr><tr><td align="center" valign="middle"  colspan="2"  >North Coast</td><td align="center" valign="middle" >Background</td><td align="center" valign="middle" >30˚57'55.28''</td><td align="center" valign="middle" >29˚32'04.07''</td><td align="center" valign="middle" >85</td></tr></tbody></table></table-wrap><table-wrap-group id="16"><label><xref ref-type="table" rid="table1">Table 1</xref>6</label><caption><title> Summary of PM<sub>2.5</sub> Air Quality Forecast according to EEAA limits</title></caption><table-wrap id="16_1"><table><tbody><thead><tr><th align="center" valign="middle" >Classification</th><th align="center" valign="middle" >Clean</th><th align="center" valign="middle" >Normal</th><th align="center" valign="middle" >Moderate</th><th align="center" valign="middle" >Attention</th><th align="center" valign="middle" >Alert</th><th align="center" valign="middle" >Warning</th><th align="center" valign="middle" >Emergency</th></tr></thead><tr><td align="center" valign="middle" >PM<sub>2.5</sub> (&#181;g/m<sup>3</sup>)</td><td align="center" valign="middle" >0 - 66</td><td align="center" valign="middle" >67 - 133</td><td align="center" valign="middle" >134 - 233</td><td align="center" valign="middle" >234 - 279</td><td align="center" valign="middle" >280 - 366</td><td align="center" valign="middle" >367 - 433</td><td align="center" valign="middle" >&gt;434</td></tr></tbody></table></table-wrap><table-wrap id="16_2"><table><tbody><thead><tr><th align="center" valign="middle" >Sites</th><th align="center" valign="middle" >-</th><th align="center" valign="middle" >Ghait El-Einab Background Site</th><th align="center" valign="middle" >EL-Asafra</th><th align="center" valign="middle" >-</th><th align="center" valign="middle" >-</th><th align="center" valign="middle" >-</th><th align="center" valign="middle" >EL-Max, IGSR, EL-Shohada, Abu Keir, El-Nahda</th></tr></thead><tr><td align="center" valign="middle" >No. of sites</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >5</td></tr></tbody></table></table-wrap></table-wrap-group><table-wrap id="table17" ><label><xref ref-type="table" rid="table1">Table 1</xref>7</label><caption><title> Summary of PM<sub>2.5</sub> AQI according to US/EPA limits</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Category</th><th align="center" valign="middle"  rowspan="2"  >I<sub>low</sub> - I<sub>high</sub></th><th align="center" valign="middle"  colspan="2"  >PM<sub>2.5</sub> (&#181;g/m<sup>3</sup>)</th><th align="center" valign="middle"  rowspan="2"  >AQI</th><th align="center" valign="middle"  rowspan="2"  >Sites</th></tr></thead><tr><td align="center" valign="middle" >C<sub>low</sub> - C<sub>high</sub></td><td align="center" valign="middle" >C<sub>measured</sub></td></tr><tr><td align="center" valign="middle" >Good</td><td align="center" valign="middle" >0 - 50</td><td align="center" valign="middle" >0.0 - 12.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Moderate</td><td align="center" valign="middle" >51 - 100</td><td align="center" valign="middle" >12.1 - 35.4</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Unhealthy for Sensitive Groups</td><td align="center" valign="middle" >101 - 150</td><td align="center" valign="middle" >35.5 - 55.4</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Unhealthy</td><td align="center" valign="middle"  rowspan="2"  >151 - 200</td><td align="center" valign="middle"  rowspan="2"  >55.5 - 150.4</td><td align="center" valign="middle" >70</td><td align="center" valign="middle" >158</td><td align="center" valign="middle" >Ghait El-Inab</td></tr><tr><td align="center" valign="middle" >85</td><td align="center" valign="middle" >166</td><td align="center" valign="middle" >Background</td></tr><tr><td align="center" valign="middle" >Very Unhealthy</td><td align="center" valign="middle" >201 - 300</td><td align="center" valign="middle" >150.5 - 250.4</td><td align="center" valign="middle" >171</td><td align="center" valign="middle" >221</td><td align="center" valign="middle" >EL-Asafra</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Hazardous</td><td align="center" valign="middle" >301 - 400</td><td align="center" valign="middle" >250.5 - 350.4</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >401 - 500</td><td align="center" valign="middle" >350.5 - 500.4</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="5"  >N/A</td><td align="center" valign="middle"  rowspan="5"  >N/A</td><td align="center" valign="middle"  rowspan="5"  >&gt;500.4 &#181;g/m<sup>3</sup></td><td align="center" valign="middle" >N/A</td><td align="center" valign="middle" >596</td><td align="center" valign="middle" >Abu Keir</td></tr><tr><td align="center" valign="middle" >N/A</td><td align="center" valign="middle" >848</td><td align="center" valign="middle" >EL-Shohada</td></tr><tr><td align="center" valign="middle" >N/A</td><td align="center" valign="middle" >1368</td><td align="center" valign="middle" >IGSR</td></tr><tr><td align="center" valign="middle" >N/A</td><td align="center" valign="middle" >1405</td><td align="center" valign="middle" >EL-Max</td></tr><tr><td align="center" valign="middle" >N/A</td><td align="center" valign="middle" >1547</td><td align="center" valign="middle" >El-Nahda</td></tr></tbody></table></table-wrap><p>measurements in different sites. Those sources may be natural (such as dust storms and pollens) or may be anthropogenic sources.</p><p>Major anthropogenic probable sources which noticed were industrial Activities, Demolition and construction, unpaved streets, solid wastes, and fuel Combustion.</p><sec id="s3_1_1"><title>3.1.1. Industrial Activities</title><p>Alexandria is the largest industrial city (with ≈40% of the total Egyptian industry). There are 280,000 registered industrial firms and 1,837,000 registered handicraft workshops. It has 10 industrial zones with total area 22,687 Acre as shown in <xref ref-type="table" rid="table1">Table 1</xref>8. Many industries are considered to be major sources of PM pollution such as cement, fertilizers, ceramic, chemical, and timber industries (http://www.alexandria.gov.eg (Last visit: 24/07/2015)) [<xref ref-type="bibr" rid="scirp.88413-ref14">14</xref>].</p></sec><sec id="s3_1_2"><title>3.1.2. Demolition and Construction</title><p>Construction and demolition wastes are considered to be one of the major anthropogenic sources of PM pollution. Its adverse effects increase with wind movement especially when it leaved without disposal in designated places. In 2010, demolition wastes in Egypt have reached 41.7 million tons (IDSC, Dec 2011) [<xref ref-type="bibr" rid="scirp.88413-ref5">5</xref>].</p></sec><sec id="s3_1_3"><title>3.1.3. Unpaved Streets</title><p>According to CAPMAS reports, 1035 km approximately of roads in Alexandria unpaved (equivalent to 21% of roads in the governorate)―<xref ref-type="table" rid="table1">Table 1</xref>9―while the number of licensed vehicles up to 622,542 vehicles at the end of December 2012.</p><p>83221 of them are Lorries and 10,208 trucks as well as others that entering and leaving daily from the governorate (IDSC, Dec 2011) [<xref ref-type="bibr" rid="scirp.88413-ref5">5</xref>].</p><p>This huge number of cars with the presence of nearly a quarter of the streets</p><table-wrap id="table18" ><label><xref ref-type="table" rid="table1">Table 1</xref>8</label><caption><title> Industrial zones in Alexandria governorate (http://www.alexandria.gov.eg (Last visit: 24/07/2015)) [<xref ref-type="bibr" rid="scirp.88413-ref14">14</xref>]</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Industrial Zones</th><th align="center" valign="middle"  rowspan="2"  >Dependency</th><th align="center" valign="middle"  colspan="2"  >Construction decision</th><th align="center" valign="middle"  rowspan="2"  >Issuer</th><th align="center" valign="middle"  rowspan="2"  >Total Area (Acre)</th></tr></thead><tr><td align="center" valign="middle" >No.</td><td align="center" valign="middle" >Year</td></tr><tr><td align="center" valign="middle" >El-Manshia El-Gdeda Ind. Zone</td><td align="center" valign="middle" >Governorates</td><td align="center" valign="middle" >523</td><td align="center" valign="middle" >1990</td><td align="center" valign="middle" >Ministerial Decision</td><td align="center" valign="middle" >843.5</td></tr><tr><td align="center" valign="middle" >El-Nasryah Ind. Zone</td><td align="center" valign="middle" >Governorates</td><td align="center" valign="middle" >972</td><td align="center" valign="middle" >1999</td><td align="center" valign="middle" >Ministerial Decision</td><td align="center" valign="middle" >168</td></tr><tr><td align="center" valign="middle" >Merghem Ind. Zone</td><td align="center" valign="middle" >Governorates</td><td align="center" valign="middle" >523</td><td align="center" valign="middle" >1990</td><td align="center" valign="middle" >Ministerial Decision</td><td align="center" valign="middle" >3576</td></tr><tr><td align="center" valign="middle" >Seven Up (31 km) Ind. Zone</td><td align="center" valign="middle" >Governorates</td><td align="center" valign="middle" >1123</td><td align="center" valign="middle" >1998</td><td align="center" valign="middle" >Ministerial Decision</td><td align="center" valign="middle" >814</td></tr><tr><td align="center" valign="middle" >SIPCO Ind. Zone</td><td align="center" valign="middle" >Governorates</td><td align="center" valign="middle" >240</td><td align="center" valign="middle" >2002</td><td align="center" valign="middle" >Prime Minister</td><td align="center" valign="middle" >160</td></tr><tr><td align="center" valign="middle" >El-Agamy Ind. Complex</td><td align="center" valign="middle" >Governorates</td><td align="center" valign="middle" >1827</td><td align="center" valign="middle" >2002</td><td align="center" valign="middle" >Council of Ministers</td><td align="center" valign="middle" >3</td></tr><tr><td align="center" valign="middle" >El-Nahda Ind. Zone</td><td align="center" valign="middle" >New Cities</td><td align="center" valign="middle" >2244</td><td align="center" valign="middle" >2000</td><td align="center" valign="middle" >Council of Ministers</td><td align="center" valign="middle" >4611</td></tr><tr><td align="center" valign="middle" >Om Zghew Ind. Zone</td><td align="center" valign="middle" >Governorates</td><td align="center" valign="middle" >1906</td><td align="center" valign="middle" >1997</td><td align="center" valign="middle" >Ministerial Decision</td><td align="center" valign="middle" >2851</td></tr><tr><td align="center" valign="middle" >New Borg El-Arab Ind. City</td><td align="center" valign="middle" >New Cities</td><td align="center" valign="middle" >506</td><td align="center" valign="middle" >1979</td><td align="center" valign="middle" >Presidential Decree</td><td align="center" valign="middle" >5465</td></tr><tr><td align="center" valign="middle" >Free Ind. Zone</td><td align="center" valign="middle" >Free Zone</td><td align="center" valign="middle" >207</td><td align="center" valign="middle" >1973</td><td align="center" valign="middle" >Presidential Decree</td><td align="center" valign="middle" >1357.14</td></tr></tbody></table></table-wrap><table-wrap id="table19" ><label><xref ref-type="table" rid="table1">Table 1</xref>9</label><caption><title> Paved and Unpaved roads, Alexandria, 2012</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Alexandria roads</th><th align="center" valign="middle" >Length (km)</th><th align="center" valign="middle" >%</th><th align="center" valign="middle"  rowspan="3"  ><inline-formula><inline-graphic xlink:href="/html.scirp.org/file/3-6703692x12.png" xlink:type="simple"/></inline-formula></th></tr></thead><tr><td align="center" valign="middle" >Paved roads</td><td align="center" valign="middle" >3814</td><td align="center" valign="middle" >78.7</td></tr><tr><td align="center" valign="middle" >Unpaved roads</td><td align="center" valign="middle" >1035</td><td align="center" valign="middle" >21.3</td></tr></tbody></table></table-wrap><p>of Alexandria unpaved inevitably lead to raise dust and the high concentrations of PM<sub>10</sub> and PM<sub>2.5</sub> in ambient air significantly.</p></sec><sec id="s3_1_4"><title>3.1.4. Solid Wastes</title><p>Agricultural residues in Alexandria became 212.7 thousand tons in 2010 while household wastes reached to 969.3 thousand tons and hence Alexandria became the third governorate (after Cairo and Giza) in terms of waste generation (CAPMAS, 2012) [<xref ref-type="bibr" rid="scirp.88413-ref4">4</xref>]. Garbage companies cannot collect all these quantities of wastes on a regular basis and keep part of it in streets that causes dust creation in the ambient air with any slight increase in winds movement.</p></sec></sec><sec id="s3_2"><title>3.2. Adverse Effects on Human Health</title><p>We start searching for statistics on the prevalence of respiratory and cardiovascular diseases rates in Alexandria to compare them to what has been accessed from the concentrations of PM<sub>10</sub> and PM<sub>2.5</sub> in order to demonstrate the relationship that was recognized in epidemiologic studies that mentioned above. However, we did not find any data except limited statistics of respiratory diseases in Egypt as shown in <xref ref-type="table" rid="table2">Table 2</xref>0 (CAPMAS, 2012) [<xref ref-type="bibr" rid="scirp.88413-ref4">4</xref>].</p><table-wrap id="table20" ><label><xref ref-type="table" rid="table2">Table 2</xref>0</label><caption><title> Cases of admissions and deaths in central and general hospitals, Egypt (2010:2012). (CAPMAS, 2012) [<xref ref-type="bibr" rid="scirp.88413-ref4">4</xref>]</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Disease</th><th align="center" valign="middle"  colspan="3"  >2010</th><th align="center" valign="middle"  colspan="3"  >2011</th><th align="center" valign="middle"  colspan="3"  >2012</th></tr></thead><tr><td align="center" valign="middle" >Admission</td><td align="center" valign="middle" >Death</td><td align="center" valign="middle" >% Deaths to admission cases</td><td align="center" valign="middle" >Admission</td><td align="center" valign="middle" >Death</td><td align="center" valign="middle" >% Deaths to admission cases</td><td align="center" valign="middle" >Admission</td><td align="center" valign="middle" >Death</td><td align="center" valign="middle" >% Deaths to admission cases</td></tr><tr><td align="center" valign="middle" >Chest</td><td align="center" valign="middle" >59,322</td><td align="center" valign="middle" >644</td><td align="center" valign="middle" >1.1%</td><td align="center" valign="middle" >56,041</td><td align="center" valign="middle" >442</td><td align="center" valign="middle" >0.8%</td><td align="center" valign="middle" >80,597</td><td align="center" valign="middle" >931</td><td align="center" valign="middle" >1.2%</td></tr><tr><td align="center" valign="middle" >Severe respiratory diseases</td><td align="center" valign="middle" >467</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >0.6%</td><td align="center" valign="middle" >614</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >0.5%</td><td align="center" valign="middle" >1,079</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >0.5%</td></tr></tbody></table></table-wrap><p>We cannot say for sure that the PM<sub>2.5</sub> was the only cause of those rates of patients and deaths as there is interference with other reasons that may be other air pollutants. It may be also because of genetic factors or otherwise. However, PM<sub>2.5</sub> remains one of reasons that led to the occurrence of these diseases and deaths, but we cannot accurately determine the percentage of its impact.</p></sec><sec id="s3_3"><title>3.3. Management Options</title><p>There are several management options for mitigating these high concentrations of PM<sub>10</sub> and PM<sub>2.5</sub> and hence protect human health from adverse effects that mentioned above. These options include,</p><p>1) Increasing awareness about ISO2600 (CSR) and ISO 14001,</p><p>2) Restructuring EIMP/EEAA monitoring stations and supporting them with PM<sub>2.5</sub> monitors,</p><p>3) Using different PM collection devices in industrial activities,</p><p>4) Reducing AQL of PM<sub>2.5</sub>, and</p><p>5) Increasing Environmental law enforcement firmly.</p><sec id="s3_3_1"><title>3.3.1. Implementation of Integrated ISO 26000 and ISO 14001</title><p>CSR is the traditional way to refer to the role of a business in contributing positively to the larger community in which it operates. ISO 26000 uses the term Social Responsibility (SR) to refer to this concept, to show that its guidance can be used by all kinds of organizations (ECOLOGIA, May 2011) [<xref ref-type="bibr" rid="scirp.88413-ref15">15</xref>].</p><p>However, since this handbook is designed especially for the needs of small and medium size businesses, we have used CSR the more familiar term throughout. ISO 26000 identifies seven core subjects that socially responsible businesses should address. Implementers of ISO 26000 should evaluate their actions in each of the core subjects, to identify what they are doing in their current practices, and to set priorities for improvements (ECOLOGIA, May 2011) [<xref ref-type="bibr" rid="scirp.88413-ref15">15</xref>]. ISO 26000 has seven core subjects which are</p><p>1) Organizational governance: Practicing accountability and transparency at all levels of your organization; using leadership to create an organizational culture which uses core values of social responsibility when making business decisions.</p><p>2) Human rights: Treating all individuals with respect; making special efforts to help people from vulnerable groups.</p><p>3) Labor practices: Providing just, safe and healthy conditions for workers; engaging in two way discussions to address workers’ concerns.</p><p>4) Environment: Identifying and improving environmental impacts of your operations, including resource use and waste disposal.</p><p>5) Fair operating practices: Respecting the law; practicing accountability and fairness in your dealings with other businesses, including your suppliers.</p><p>6) Consumer issues: Providing healthy and safe products, giving accurate information, and promoting sustainable consumption.</p><p>7) Community involvement and development: Getting involved in the betterment of the local communities that your organization operates in; being a good neighbor (ECOLOGIA, May 2011) [<xref ref-type="bibr" rid="scirp.88413-ref15">15</xref>].</p><p>ISO 14001 is an internationally agreed standard that sets out the requirements for an environmental management system. It helps organizations improve their environmental performance through efficient use of resources and reduction of waste, gaining a competitive advantage and the trust of stakeholders (ISO Central Secretariat, 2015) [<xref ref-type="bibr" rid="scirp.88413-ref16">16</xref>].</p><p>ISO 14001 helps:</p><p>• Demonstrate compliance with current and future statutory and regulatory requirements.</p><p>• Increase leadership involvement and engagement of employees.</p><p>• Improve company reputation and the confidence of stakeholders through strategic communication.</p><p>• Achieve strategic business aims by incorporating environmental issues into business management.</p><p>• Provide a competitive and financial advantage through improved efficiencies and reduced costs.</p><p>• Encourage better environmental performance of suppliers by integrating them into the organization’s business systems.</p><p>Implementation of integrated ISO 2600 and ISO 14001 will solve many environmental problems. For example, Wadi El-Qamar Street can be paved as Social responsibility of surrounding companies in this area according to 7<sup>th</sup> ISO 26000 core subject or as Improvement of their environmental performance by decreasing PM emitted because of transporting raw materials and products according to ISO 14001 (ISO Central Secretariat, 2015) [<xref ref-type="bibr" rid="scirp.88413-ref16">16</xref>].</p></sec><sec id="s3_3_2"><title>3.3.2. Restructuring of EIMP/EEAA Monitoring Stations</title><p>Quick review of the administrative border of the Alexandria governorate―<xref ref-type="fig" rid="fig3">Figure 3</xref> shows that the monitoring stations need to restructure as:</p><p>1) Nearly western half of the Alexandria does not have monitoring stations, although it includes the New Borg El-Arab city, which includes several industrial zones.</p><p>2) Total area of cultivated land in Alexandria governorate is 18,120,000 Acre according to IDSC in 2010 (8,427,000 old land + 9,642,000 new land) with total cropped area of 31,612,000. Most of those agricultural areas are located in the southern part of Alexandria and there is no monitoring stations represent agriculture areas, although it is considered downwind for all industrial areas.</p><p>3) There are 6 stations of the seven which include instruments to monitor PM<sub>10</sub> and none of them include any device for measuring PM<sub>2.5</sub> although it is the most dangerous to human health.</p></sec><sec id="s3_3_3"><title>3.3.3. Reducing Pollution from the Source</title><p>PM collection occurs when the particle leaves the entraining air and contact a collecting surface. There are different applicable techniques such as elutriators, cyclones, electrostatic precipitator, etc.</p><p>1) Elutriators for PM collection</p><p>Elutriators used for PM collection can have either vertical or horizontal orientation. A simplified horizontal elutriators design shown in <xref ref-type="fig" rid="fig9">Figure 9</xref> (Robert F. Phalen, and Robert N. Phalen, 2013) [<xref ref-type="bibr" rid="scirp.88413-ref17">17</xref>].</p><p>2) Cyclones:</p><p>Cyclones (and aerosol centrifuges) impart a rotational velocity to the particle-containing air stream that produced an increased artificial g-force (gravitational acceleration), sometimes called a “centrifugal” force, to the particles. The increased g-force increases the collection efficiency, especially for small particles that normally settle slowly. A common cyclone design used for PM collection is shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>0 (Robert F. Phalen, and Robert N. Phalen, 2013) [<xref ref-type="bibr" rid="scirp.88413-ref17">17</xref>].</p><p>3) Electrostatic precipitator</p><p>Charged particles in an electrical field can encounter electrostatic forces that greatly exceed resistive drag and gravitational forces. Charged particles are attracted to oppositely-charged and grounded bodies. The velocity with charged particle move toward a collecting surface can be more than 1000 times greater than the particle's terminal settling velocity. The movement of an electrically-charged particle toward a collector is the mechanism by which an electrostatic precipitator (ESP) operates. Particles that are to be collected need not carry an initial electrical charge; <xref ref-type="fig" rid="fig1">Figure 1</xref>1 (Robert F. Phalen, and Robert N. Phalen, 2013) [<xref ref-type="bibr" rid="scirp.88413-ref17">17</xref>].</p><p>4) Spray towers</p><p>Spray towers typically introduce a water spray that falls downward through an upward-flowing “dirty” air stream. Contaminant particles are collected on the</p><p>falling water droplets by impaction and diffusion. Gases are collected by diffusion to the water droplets where they are absorbed. A demister (e.g., wire screens) above the sprayer section collets contaminated water droplets before they exit at the top of the tower. Cleaned air exits above the demister at the top of the tower. Water droplets and condensed water (from the demister) fall into a sump or drain at the bottom of the tower, <xref ref-type="fig" rid="fig1">Figure 1</xref>2 (Robert F. Phalen, and Robert N. Phalen, 2013) [<xref ref-type="bibr" rid="scirp.88413-ref17">17</xref>].</p><p>5) Venturi Scrubbers</p><p>Venturi Scrubbers operate on the principles similar to spray towers. They differ in that the contaminated air usually flows downward toward a converging “throat” where it is rapidly accelerated. Liquid is introduced along the wall above the converging section, where it is aerosolized upon encountering the reduced pressure in the throat. The aerosolized and falling collection liquids contacts and collects the downward flowing particles and gases in a diverging lower section of the scrubber, <xref ref-type="fig" rid="fig1">Figure 1</xref>3 (Robert F. Phalen, and Robert N. Phalen, 2013) [<xref ref-type="bibr" rid="scirp.88413-ref17">17</xref>].</p><p>6) Bag filters</p><p>Bag filters are specialized filters that are preferable to simple flat filters because they can be repeatedly cleaned and reuse. Thus, they do not require frequent replacement. Bag filters are widely used for the collection of PM in high-throughput applications, such as coal-fired power plants, or for other industrial processes that require efficient dust emission controls, <xref ref-type="fig" rid="fig1">Figure 1</xref>4 (Robert F. Phalen, and Robert N. Phalen, 2013) [<xref ref-type="bibr" rid="scirp.88413-ref17">17</xref>].</p><p>7) Packed beds</p><p>Packed beds, such as those containing activated charcoal or collections of glass, metal, or plastic beads, are used for efficiently collecting particles and gases, including caustic substances. The beads can be coated with various substances to improve their performance (Robert F. Phalen, and Robert N. Phalen, 2013) [<xref ref-type="bibr" rid="scirp.88413-ref17">17</xref>].</p></sec><sec id="s3_3_4"><title>3.3.4. Reducing PM<sub>2.5</sub> AQL</title><p>PM<sub>2.5</sub> not included in the Egyptian environmental law till 2011, and also its AQLs in the new amendment (for 24-hr and annual average) is noticed to be higher than all international AQLs as shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>5. It must be reduced to be compatible with international AQLs.</p></sec><sec id="s3_3_5"><title>3.3.5. Environmental Law Enforcement Firmly</title><p>One of the most serious problems that lead to increasing of PM pollution is “soft” enforcement of environmental regulations. The response of industry to current environmental regulations in Alexandria, Egypt was investigated. Environmental officers in 55 industrial firms completed a questionnaire examining their opinions about current environmental regulations, the statuses of their companies’ compliance with those regulations, and the environmental management progress and problems in their companies. Although Egyptian industrialists had positive opinions about environmental regulations, their companies were not in satisfactory compliance with those regulations. The context in which environmental concern started in Egypt and the economic environment of Egyptian industry had led to “soft” enforcement and implementation of environmental regulations. The response of Alexandria's industrial firms to the issued environmental regulations was limited to adopting symbolic “end-of-pipe” environmental protection measures. Progress in environmental management and problems in industries of Alexandria were also investigated (Hisham El-Zayat, Gihan Ibraheem, and Sherif Kandil, April 2006) [<xref ref-type="bibr" rid="scirp.88413-ref18">18</xref>].<sup> </sup></p></sec></sec></sec><sec id="s4"><title>4. Conclusions and Recommendations</title><sec id="s4_1"><title>4.1. Conclusions</title><p>1) El-Nahda site recorded the highest concentration of PM<sub>10</sub> and PM<sub>2.5</sub> while Ghait El-Inab site recorded the lower concentration.</p><p>2) For PM<sub>10</sub> Results; three sites were classified as “Emergency”―Air pollution is (Very High)―according to Air Quality Forecast of EEAA, two sites were classified as “Alert”, one site was classified as “Attention”―Air pollution in both sites is (High), and another site was classified as “Normal”―Air quality is (Good).</p><p>3) For PM<sub>2.5</sub> Results; five sites were classified as “Emergency” according to Air Quality Forecast of EEAA―Air pollution is (Very High), one site was classified as “Moderate”―Air quality is (Moderate), and another site was classified as “Normal”―Air quality is (Good).</p><p>4) Most probable anthropogenic sources of these high concentrations of PM<sub>10</sub> and PM<sub>2.5</sub> include industrial activities as Alexandria governorate has more than 40% of industries in Egypt, unpaved roads which represent 21% of roads in Alexandria, randomized demolition and construction work, and solid wastes.</p><p>5) All previous research studies confirm that PM<sub>2.5</sub> is more serious than PM<sub>10</sub> on both the short term and long term. PM<sub>2.5</sub> has high ability to penetrate respiratory system as well as it remains suspended in the air for longer time than PM<sub>10</sub>. PM<sub>2.5</sub> is causal of some cardiovascular diseases and mortality, likely to be Causal of Respiratory Effects, and Suggestive to be causal of some Reproductive and Developmental diseases, Cancer, Mutagenicity, and Genotoxicity.</p><p>6) AQLs of PM<sub>2.5</sub> in the Egyptian Environmental Law according to last amendment (for 24-hr and annual average) are noticed to be higher than all international AQLs for the ambient environment. On the other hand, PM<sub>2.5</sub> hasn’t AQL in the Egyptian Environmental Law for the working environment till now.</p><p>7) Nearly western half of the Alexandria does not have monitoring stations, although it includes the New Borg El-Arab city that includes several industrial zones.</p></sec><sec id="s4_2"><title>4.2. Recommendations</title><p>1) Implementation of integrated ISO 26000 and ISO 14001 can help in solving many environmental problems.</p><p>2) EIMP/EEAA monitoring stations need restructuring plan to cover all areas and all activities in Alexandria.</p><p>3) EIMP/EEAA must be supported with PM<sub>2.5</sub> monitors as it’s more serious than PM<sub>10</sub> and there are lacking of data about this pollutant and hence.</p><p>4) Particulate Matters control systems such as bag filters, Packed beds, wet and dry Scrubbers must be used in all industrial activities to reduce PM pollution from the source not to adopt “end-of-pipe” environmental protection measures.</p><p>5) AQL of PM<sub>2.5</sub> in the ambient environment must be reduced to meet international limits. It must be included in the working environment parameters also.</p><p>6) Environmental law must be applied strictly.</p><p>7) Increase the multidisciplinary co-operation especially between environment and public health specialists.</p></sec></sec><sec id="s5"><title>Acknowledgements</title><p>This work was supported by (AMATEC Consulting Foundation for Environmental &amp; Scientific Assistance).</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Zahran, A.A., Ibrahim, M.I., El-Din Ramadan, A. and Ibrahim, M.M. (2018) Air Quality Indices, Sources and Impact on Human Health of PM<sub>10</sub> and PM<sub>2.5</sub> in Alexandria Governorate, Egypt. Journal of Environmental Protection, 9, 1237-1261. https://doi.org/10.4236/jep.2018.912078</p></sec><sec id="s8"><title>Abbreviations</title><p>AQHI Air Quality Health Index</p><p>AQI Air Quality Index</p><p>AQL Air Quality Limits</p><p>CAPMAS Central Agency for Public Mobilization and Statistics</p><p>CSR Corporate Social Responsibility</p><p>EC European Commission</p><p>EEAA Egyptian Environmental Affairs Agency</p><p>GPS Global Positioning System</p><p>IDSA Information and Decision Support Center</p><p>IGSR Institute for Governmental Service and Research</p><p>ISA Integrated Science Assessment</p><p>NAAQS National Ambient Air Quality Standards</p><p>PI Pollution Index</p><p>PM Particulate Matters</p><p>PM<sub>10</sub> Particulate Matters with a diameter less than 10 μm</p><p>PM<sub>2.5</sub> Particulate Matters with a diameter less than 2.5 μm</p><p>PSI Pollutant Standards Index</p><p>PUF Polyurethane Foam</p><p>SAS Static Air Sampling</p><p>TSP Total Suspended Particulates</p><p>UFPs Ultrafine Particulates</p><p>US/EPA United States/Environmental Protection Agency</p><p>WHO World Health Organization</p></sec></body><back><ref-list><title>References</title><ref id="scirp.88413-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">WHO (2001) Outdoor Air Pollution. 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