<?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.2014.513124</article-id><article-id pub-id-type="publisher-id">JEP-50910</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>
 
 
  Ionic Composition in Aqueous Extracts from PM2.5 in Ambient Air at the City of Cuernavaca, M&#233;xico
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>ugo</surname><given-names>Saldarriaga-Noreña</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Leonel</surname><given-names>Hernández-Mena</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>Enrique</surname><given-names>Sánchez-Salinas</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>Fernando</surname><given-names>Ramos-Quintana</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>Laura</surname><given-names>Ortíz-Hernández</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>Rodrigo</surname><given-names>Morales-Cueto</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>Vanesa</surname><given-names>Alarcón-González</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>Sandra</surname><given-names>Ramírez-Jiménez</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Biotechnology Research Center, Autonomous University of the Morelos State, Cuernavaca, Mexico</addr-line></aff><aff id="aff2"><addr-line>Center for Research and Assistance in Technology and Design of the State of Jalisco, Guadalajara, Mexico</addr-line></aff><aff id="aff1"><addr-line>Chemical Research Center, Autonomous University of the Morelos State, Cuernavaca, Mexico</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>hsaldarriaga@uaem.mx(US)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>22</day><month>10</month><year>2014</year></pub-date><volume>05</volume><issue>13</issue><fpage>1305</fpage><lpage>1315</lpage><history><date date-type="received"><day>11</day>	<month>August</month>	<year>2014</year></date><date date-type="rev-recd"><day>8</day>	<month>September</month>	<year>2014</year>	</date><date date-type="accepted"><day>1</day>	<month>October</month>	<year>2014</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>
 
 
  The present study was carried out between May and June 2012 in the city of Cuernavaca, Mexico. During this time the average ambient temperatures were about 25&#176;C, suggesting the formation of secondary aerosols, consisting mainly of ammonium and sulfate. The average PM2.5 concentration was 37 μg
  &#183;
  m<sup>-3</sup> for the entire urban area and there were only two days which exceeded the limit established by the official standards for periods of 24 h. The most abundant ionic species associated with PM2.5 were sulfates (3634.82 ng
  &#183;
  m<sup>-3</sup>, average) and ammonium (1709.53 ng
  &#183;
  m<sup>-3</sup>, average). The ratio estimated between total anions and total cations indicated that the concentration of total anions was 1.94 times total cations. The contribution percentage of the ionic species associated with PM2.5 revealed that 76% of the PM2.5 is sulfates and ammonium. The ion balance made for the urban area of Cuernavaca indicated that during the study period, the aerosols showed alkaline characteristics; that is to say the concentration of anions was not sufficient to neutralize the cations, specifically ammonia (m = 0.060). Finally, wind fields showed that during the study the winds came in 50% from the south west, followed by 25% from east and 12.5% of the south east, which in part allowed transport of contaminants into the portion of the city, where the AUSM campus site was located.
 
</p></abstract><kwd-group><kwd>Ionic species</kwd><kwd> Cuernavaca</kwd><kwd> Ion Balance</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The study of atmospheric aerosols has become important in recent years due to their influence on the global climate directly by scattering or absorption of solar radiation and indirectely by altering cloud microphysics and the water cycle. Also, they influence atmospheric chemistry and cause negative effects on human health [<xref ref-type="bibr" rid="scirp.50910-ref1">1</xref>] -[<xref ref-type="bibr" rid="scirp.50910-ref7">7</xref>] .</p><p>Specifically, particles less than or equal to 2.5 microns (PM2.5) consist largely of water-soluble ionic species (<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x6.png" xlink:type="simple"/></inline-formula>,<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x7.png" xlink:type="simple"/></inline-formula> ,<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x8.png" xlink:type="simple"/></inline-formula> ,<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x9.png" xlink:type="simple"/></inline-formula>), but also exhibit a significant insoluble fraction consisting of organic compounds (OC), elemental carbon (EC) and trace metals (Hg, Pb, As, Cd, Sb, etc.) [<xref ref-type="bibr" rid="scirp.50910-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.50910-ref9">9</xref>] . The complex chemical composition of atmospheric aerosols can be attributed to the diversity of emission sources and the prevailing environmental factors. The source can be natural or anthropogenic and can be emitted directly into the atmosphere or formed secondarily from gaseous precursors. The study of particle concentration and its composition is essential for the identification of emission sources, likewise for the processes associated with their formation [<xref ref-type="bibr" rid="scirp.50910-ref10">10</xref>] - [<xref ref-type="bibr" rid="scirp.50910-ref12">12</xref>] .</p><p>In M&#233;xico there are standards for air quality for the following air pollutants: sulfur dioxide (SO<sub>2</sub>), carbon monoxide (CO), nitrogen dioxide (NO<sub>2</sub>), ozone (O<sub>3</sub>), total suspended particles (TSP), particulate matter less than ten microns in diameter (PM10) and lead (Pb).</p><p>The city of Cuernavaca is not the exception to the current situation of deterioration in air quality; in that in recent years, this urban area has significantly increased its population and the number of human activities, which generate large amounts of air pollutants.</p><p>Actually, in order to contribute to environmental improvement in the state, the government has been promoting and supporting environmental studies aimed at the development of diagnostics of the ambient levels of some pollutants considered of high risk to human health and the environment. This was done in order to allow for the design of control programs and/or to mitigate in the short and medium term. Therefore, this study was developed which aims to identify the chemical composition of particulate matter (PM2.5), and to serve as a precedent for further research.</p></sec><sec id="s2"><title>2. Materials and methods</title><sec id="s2_1"><title>2.1. Sampling sites</title><p>Three sampling sites within the urban area of ​​the city of Cuernavaca were selected. Each one is characterized by different activities, such as vehicular and industrial, in addition to having different geographical and topographical features. The sites selected were: Centro, located in the downtown of the city, the North Campus of the Autonomous University of the State of Morelos (AUSM), located north of the city, and an attached high school Campus of the AUSM (Preparatoria 1), located to the southeast of the metropolitan area. The Centro site is influenced by high vehicular and service activity, while the Preparatoria 1 site is characterized by high vehicular traffic as well as industrial impact, given that there exists an industrial park nearby named CIVAC (Centro Industrial de la Ciudad de Cuernavaca, for its acronym in Spanish).</p><p>The North Campus (AUSM) site is characterized by being on the edge of the metropolitan area, on slopes, which suggests frequent movements of air and thus contaminant transport. This area has abundant vegetation; however it is highly influenced by the Mexico-Cuernavaca highway, which passes on one side, and the transport of pollutants, specifically from Mexico City and the south side of the city.</p></sec><sec id="s2_2"><title>2.2. Sampling of PM2.5</title><p>Sampling of PM2.5 was conducted between May 18 and June 30, 2012. For the Preparatoria 1 and Centro sites, low volume equipment (Mini-Vol, Airmetrics), were used, at a flow rate 5 L&#183;min<sup>−1</sup>, with quartz filters for particle collection. While at the AUSM site, PQ-200 equipment (Waltham, BGI, Inc.) was used at a flow of 16.4 L&#183;min<sup>−1</sup>, also with filters of 47 mm diameter. In all cases sampling was conducted for periods of 24 h.</p><p>The difference in filter weights was obtained under controlled conditions of temperature and relative humidity, before and after sampling, and allowed for the determination of the mass of PM2.5 and estimation of its concentrations in ambient air (corrected to standard conditions of temperature and pressure).</p></sec><sec id="s2_3"><title>2.3. Ionic species analysis and quality control</title><p>Samples were extracted with Milli-Q water (18.2 MΩ), in an ultrasonic bath (Branson 5510) for 1 hour. Extracts were filtered through nylon membranes (0.45 μm pore diameter) and transferred to vials for chemical analysis by ion chromatography. The ionic composition was determined by an ion chromatograph (Dionex, 1600 with ISC Conductivity Detector).</p><p>The anions (<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x10.png" xlink:type="simple"/></inline-formula>,<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x11.png" xlink:type="simple"/></inline-formula> , Cl<sup>−</sup>, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x12.png" xlink:type="simple"/></inline-formula>,<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x13.png" xlink:type="simple"/></inline-formula>) were analyzed by chemical suppression with a Dionex IonPac AS18-4 μm column; the mobile phase used was a solution of sodium carbonate-sodium bicarbonate (0.35:0.1 M), at a flow rate of 1 mL&#183;min<sup>−1</sup>. Meanwhile, the cations (<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x14.png" xlink:type="simple"/></inline-formula>, Na<sup>+</sup>, K<sup>+</sup>, Ca<sup>2+</sup>, Mg<sup>2+</sup>) were determined without chemical suppression, using a Dionex IonPac CS16 column; the mobile phase was 26.0 mM methasulfonic acid, at a flow rate of 1 mL&#183;min<sup>−1</sup>. For quantification of all species, calibration curves were performed in a concentration range between 0.0625 and 10 &#181;g&#183;mL<sup>−1</sup>. The detection limits for anions were between 0.035 and 0.277 &#181;g&#183;mL<sup>−1</sup> and for cations between 0.01 and 0.166 &#181;g&#183;mL<sup>−1</sup>.</p></sec><sec id="s2_4"><title>2.4. Back Trajectories</title><p>The Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT4) model, obtained from the National Oceanic and Atmospheric Administration (NOAA), was used to calculate the wind trajectories. Trajectories tracing back 3 days (72 hr) were calculated. Each trajectory was estimated at 400 m above ground level.</p></sec><sec id="s2_5"><title>2.5. Statistical analysis</title><p>The data obtained from the variables of interest for this study were mainly analyzed with nonparametric statistical tests. The Mann-Whitney U test was applied to compare two sets of data, while the Kruskal-Wallis test was used for comparison of PM2.5 data, anions and cations between the three sampling sites. The Spearman correlation coefficient (r) established the level of the relationship between the variables, whereas the analysis of linear regression by least squares method allowed the determination of the degree of neutralization between anions and cations, as well as determining the degree of acidity or alkalinity of the particles.</p></sec></sec><sec id="s3"><title>3. Results and discussion</title><sec id="s3_1"><title>3.1. Back trajectories and potential sources of contaminants</title><p>To identify the transport pathways of air masses from different potential source regions, backward air trajectory analysis was carried out using the HYSPLIT 4.8 model. Four types of trajectories were observed during sampling period for the city of Cuernavaca. The South West (SW) trajectory prevailed from May 18 to June 30 (50%), it suggests that air masses are transporting some contaminants from the Centro site (SW), to the north of the city where the anthropogenic activities are important; the AUSM site is located in this direction. The East (E) type, accounting for 25% of all trajectories, indicates that a possible source in Cuernavaca is volcanic emissions from the Popocatepetl volcano. For its part, the South East (SE) type, contributes with 12.5 % of all trajectories, passing over the Preparatoria 1 site, where industrial and vehicular activities are a constant feature (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p></sec><sec id="s3_2"><title>3.2. PM2.5 Concentration</title><p>The median of the concentrations of PM2.5, for the entire study period and the three sampling sites, was 28 &#181;g&#183;m<sup>−3</sup> (average of 37 &#181;g&#183;m<sup>−3</sup>). <xref ref-type="table" rid="table1">Table 1</xref> shows the descriptive statistics of the variation of the concentrations determined in each of the three sampling sites in the city of Cuernavaca. The analysis of these data by using the Kruskal-Wallis test confirmed the absence of significant differences between the data sets of particle concentration at each site (p = 0.76). These results suggest that for the sampling period, the concentration of PM2.5 was homogeneous in a large part of the city of Cuernavaca.</p><p>In Mexico the Official Mexican Standard (NOM-025-SSA1-1993) establishes the average maximum concentration of PM2.5 (65 &#181;g&#183;m<sup>−3</sup>) for a period of 24 h. The UAEM and Centro sites exceeded this limit, each twice reaching 90 and 75 &#181;g&#183;m<sup>−3</sup>, respectively, while the Preparatoria 1 site did not exceeded the standard established by the norm on any sampling day. It is likely that at this latter site meteorological and climatic conditions have been more favorable for the dispersion of pollutants, specifically on days with high particulate concentrations in ambient air.</p><p>In addition, <xref ref-type="table" rid="table1">Table 1</xref> shows the concentration levels of PM2.5 reported in other Mexican cities and other places in the world. The concentrations reported in other cities are similar, qualitatively, and serve as reference levels to</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Typical back trajectories at Cuernavaca city from May 18 to June 30, 2012</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-6702439x15.png"/></fig><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Comparison of the concentration of PM2.5 with other sites around the world (&#181;g&#183;m<sup>−3</sup>)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >Average</th><th align="center" valign="middle" >Median</th><th align="center" valign="middle" >Minimum</th><th align="center" valign="middle" >Maximum</th><th align="center" valign="middle" >SD</th><th align="center" valign="middle" >Type of area</th></tr></thead><tr><td align="center" valign="middle" >AUSM</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >90</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >Urban</td></tr><tr><td align="center" valign="middle" >Centro</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >75</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >Urban</td></tr><tr><td align="center" valign="middle" >Preparatoria<sup>1</sup></td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >Urban</td></tr><tr><td align="center" valign="middle" >Cuernavaca-Morelos<sup>*</sup></td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >90</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >Urban</td></tr><tr><td align="center" valign="middle" >M&#233;xico City<sup>1</sup></td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >10.1</td><td align="center" valign="middle" >Urban</td></tr><tr><td align="center" valign="middle" >Guadalajara, Jal-Mex.<sup>2</sup></td><td align="center" valign="middle" >73</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >20.1</td><td align="center" valign="middle" >Urban</td></tr><tr><td align="center" valign="middle" >Pamplona, Espa&#241;a<sup>3</sup></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >15.4</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >3.9</td><td align="center" valign="middle" >74.9</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Urban</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >17.4</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >3.6</td><td align="center" valign="middle" >86.3</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Urban</td></tr><tr><td align="center" valign="middle" >Hong Kong<sup>4</sup></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >69.3</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >11.8</td><td align="center" valign="middle" >Urban</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >66.9</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >12.3</td><td align="center" valign="middle" >Urban</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >49.3</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >17.9</td><td align="center" valign="middle" >Urban</td></tr><tr><td align="center" valign="middle" >Berna<sup>5</sup></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >24.6</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><td align="center" valign="middle" >Urban</td></tr><tr><td align="center" valign="middle" >Zurich<sup>5</sup></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >43.0</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><td align="center" valign="middle" >Urban</td></tr><tr><td align="center" valign="middle" >Basel<sup>5</sup></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >18.9</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><td align="center" valign="middle" >Urban</td></tr><tr><td align="center" valign="middle" >Payern<sup>5</sup></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >13.7</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><td align="center" valign="middle" >Suburban</td></tr><tr><td align="center" valign="middle" >Chaumont<sup>5</sup></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >7.7</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><td align="center" valign="middle" >Suburban</td></tr><tr><td align="center" valign="middle" >Tur&#237;n<sup>6</sup></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >69.2</td><td align="center" valign="middle" >70.2</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >13.7</td><td align="center" valign="middle" >Urban</td></tr><tr><td align="center" valign="middle" >Verona<sup>6</sup></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >51.0</td><td align="center" valign="middle" >60.9</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >17.5</td><td align="center" valign="middle" >Urban</td></tr><tr><td align="center" valign="middle" >Barcelona<sup>6</sup></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >30.2</td><td align="center" valign="middle" >31.9</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >5.6</td><td align="center" valign="middle" >Urban</td></tr><tr><td align="center" valign="middle" >Par&#237;s<sup>6</sup></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >21.0</td><td align="center" valign="middle" >18.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >10.9</td><td align="center" valign="middle" >Urban</td></tr><tr><td align="center" valign="middle" >Reykjavik<sup>6 </sup></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >4.8</td><td align="center" valign="middle" >4.6</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >2.0</td><td align="center" valign="middle" >Suburban</td></tr></tbody></table></table-wrap><p><sup>*</sup>This study. SD—standard deviation; N—sampling number.<sup> </sup><sup>1</sup>Edgerton et al. (2000); <sup>2</sup>Hern&#225;ndez et al. (2009), two sampling sites; <sup>3</sup>Aldabe et al. (2011), two sampling sites; <sup>4</sup>Cheng et al. (2010), three sampling sites; <sup>5</sup>Hueglin et al. (2005), three sampling sites; <sup>6</sup>Hazenkamp-von Arx et al. (2003).</p><p>those observed in the different sites sampled in Cuernavaca. It is important to mention that comparisons should be made with caution because of differences in population size, number of sources and types, topography, etc.</p></sec><sec id="s3_3"><title>3.3. Ion species in aqueous extracts in PM2.5</title><p>In total five inorganic anions and five cations were analyzed in aqueous extracts obtained from PM2.5 particles collected at three different sites in the city of Cuernavaca. After determining their concentrations in ambient air, it was determined that the concentration of Total Anions (TA) was significantly greater than Total Cations (TC) (Mann-Whitney, p = 0.00001) during the entire period of sampling. These differences allowed for the estimation of the proportion of TA/TC, indicating that the TA concentration was 1.94 times higher than TC at all sampling sites. This ratio was statistically similar between the three study sites (1.84, 1.95 and 1.96 in Preparatoria 1, Centro and AUSM, respectively, p = 0.364). The above ratio only reflects the proportion of concentrations of both types of ions associated with PM2.5, but does not provide information about the chemical properties of the particles (see ion balance section).</p><p>Considering all data sets for the entire study, the most abundant ions were <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x16.png" xlink:type="simple"/></inline-formula> and<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x17.png" xlink:type="simple"/></inline-formula>. Species such as<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x18.png" xlink:type="simple"/></inline-formula>, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x19.png" xlink:type="simple"/></inline-formula>, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x20.png" xlink:type="simple"/></inline-formula>, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x20.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x21.png" xlink:type="simple"/></inline-formula>, Na<sup>+</sup>, K<sup>+</sup>, Ca<sup>2+</sup> and Mg<sup>2+</sup>, were below the levels determined for ammonium and sulfate (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>In general, all the cation and anion concentrations showed no significant differences between the three sites (p &gt; 0.05, in all cases); a behavior similiar to that observed with PM2.5. This probably suggests that the source of these chemical species, or atmospheric formation mechanisms, are similar within the urban area of Cuernavaca. In this regard Cheng et al. (2010) [<xref ref-type="bibr" rid="scirp.50910-ref13">13</xref>] , mentions that homogeneous concentrations of secondary aerosols in the ambient air can be derived from the impact of dominant regional sources.</p></sec><sec id="s3_4"><title>3.4. Percentage contribution of ionic species</title><p>Taking into account the concentrations of anions and cations associated with PM2.5 and due to the absence of statistically significant differences of ions and particles between sites, the percentage contribution of anions and cations was estimated with respect to the total ion content (TI) for the urban area of Cuernavaca, considering the total data from the three sampling sites. The results indicated that ammonium and sulfate contributed 52 and 24%, respectively (76% between the two species). Other ion species, individually, did not contribute more than 6% to the total. It is important to emphasize that these percentages may vary if the presence of other ion species is taken into account.</p><p><xref ref-type="fig" rid="fig2">Figure 2</xref> shows the estimated results of the percentage contribution of anions and cations in PM2.5. These results coincide with those reported by Ito et al. (2004), Hueglin et al. (2005), Cheng et al. (2010) [<xref ref-type="bibr" rid="scirp.50910-ref13">13</xref>] - [<xref ref-type="bibr" rid="scirp.50910-ref15">15</xref>] who indicate for different cities around the world that the sulfates, as well as a very limited number of species, contribute significantly to the concentrations of PM2.5. A similar result was also reported by Bell et al. (2007) [<xref ref-type="bibr" rid="scirp.50910-ref16">16</xref>] who, from a study of 187 communities in the United States noted that the sulfates and ammonium species were the main contributors to PM2.5, a similar situation to what was observed in this study.</p><p>In the city of Cuernavaca the precursors (SO<sub>2</sub> and NO<sub>x</sub>) of the most abundant ions, ammonium and sulfate, are subject to oxidation processes once that they are emited to the atmosphere. Thus, it can be suggested that the different combustion processes contribute indirectly to the presence of sulfate and ammonium in the PM2.5, so</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Average concentration of anions and cations associated with PM2.5 in the urban area of Cuernavaca (ng&#183;m<sup>−3</sup>)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Species</th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >Average</th><th align="center" valign="middle" >Median</th><th align="center" valign="middle" >Minimum</th><th align="center" valign="middle" >Maximum</th><th align="center" valign="middle" >SD</th></tr></thead><tr><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x22.png" xlink:type="simple"/></inline-formula></td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >172.39</td><td align="center" valign="middle" >84.55</td><td align="center" valign="middle" >51.96</td><td align="center" valign="middle" >1598.28</td><td align="center" valign="middle" >297.48</td></tr><tr><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x23.png" xlink:type="simple"/></inline-formula></td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >320.14</td><td align="center" valign="middle" >271.53</td><td align="center" valign="middle" >31.62</td><td align="center" valign="middle" >913.62</td><td align="center" valign="middle" >252.06</td></tr><tr><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x24.png" xlink:type="simple"/></inline-formula></td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >409.65</td><td align="center" valign="middle" >279.21</td><td align="center" valign="middle" >129.19</td><td align="center" valign="middle" >2200.27</td><td align="center" valign="middle" >422.73</td></tr><tr><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x25.png" xlink:type="simple"/></inline-formula></td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >58.26</td><td align="center" valign="middle" >54.91</td><td align="center" valign="middle" >36.33</td><td align="center" valign="middle" >113.11</td><td align="center" valign="middle" >16.08</td></tr><tr><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x26.png" xlink:type="simple"/></inline-formula></td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >3634.82</td><td align="center" valign="middle" >3880.91</td><td align="center" valign="middle" >923.83</td><td align="center" valign="middle" >6373.85</td><td align="center" valign="middle" >1601.92</td></tr><tr><td align="center" valign="middle" >Na<sup>+</sup></td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >177.04</td><td align="center" valign="middle" >123.75</td><td align="center" valign="middle" >54.20</td><td align="center" valign="middle" >1272.39</td><td align="center" valign="middle" >222.61</td></tr><tr><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x27.png" xlink:type="simple"/></inline-formula></td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >1709.53</td><td align="center" valign="middle" >1921.32</td><td align="center" valign="middle" >146.74</td><td align="center" valign="middle" >2947.36</td><td align="center" valign="middle" >763.18</td></tr><tr><td align="center" valign="middle" >K<sup>+</sup></td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >245.82</td><td align="center" valign="middle" >231.10</td><td align="center" valign="middle" >72.57</td><td align="center" valign="middle" >619.72</td><td align="center" valign="middle" >126.91</td></tr><tr><td align="center" valign="middle" >Mg<sup>2+</sup></td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >37.64</td><td align="center" valign="middle" >24.38</td><td align="center" valign="middle" >10.07</td><td align="center" valign="middle" >285.97</td><td align="center" valign="middle" >50.91</td></tr><tr><td align="center" valign="middle" >Ca<sup>2+</sup></td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >283.34</td><td align="center" valign="middle" >162.36</td><td align="center" valign="middle" >77.52</td><td align="center" valign="middle" >2594.05</td><td align="center" valign="middle" >458.32</td></tr><tr><td align="center" valign="middle" >Anions sum</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >4579.19</td><td align="center" valign="middle" >4681.66</td><td align="center" valign="middle" >1308.06</td><td align="center" valign="middle" >10658.20</td><td align="center" valign="middle" >1998.61</td></tr><tr><td align="center" valign="middle" >Cations sum</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >2453.39</td><td align="center" valign="middle" >2475.69</td><td align="center" valign="middle" >368.66</td><td align="center" valign="middle" >7560.88</td><td align="center" valign="middle" >1319.61</td></tr><tr><td align="center" valign="middle" >Total ions</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >7032.58</td><td align="center" valign="middle" >7062.98</td><td align="center" valign="middle" >1676.72</td><td align="center" valign="middle" >18219.08</td><td align="center" valign="middle" >3276.62</td></tr></tbody></table></table-wrap><p>SD—standard deviation; N—sampling number.</p><fig id="fig2"  position="float"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Percentage contribution of the ionic species in the urban area</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-6702439x28.png"/></fig><p>that anthropogenic activities become important as sources of these species [<xref ref-type="bibr" rid="scirp.50910-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.50910-ref17">17</xref>] . Such precursors are originated mainly from the combustion processes of gasoline derived from petroleum [<xref ref-type="bibr" rid="scirp.50910-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.50910-ref19">19</xref>] . This suggests that a portion of the ammonium and sulfate comes from the combustion process in this urban area. Furthermore, Aldabe et al. (2011) [<xref ref-type="bibr" rid="scirp.50910-ref20">20</xref>] suggest that the strong solar radition in spring and summer promotes the oxidation of SO<sub>2</sub> to<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x29.png" xlink:type="simple"/></inline-formula>. This last condition was that which prevailed during the sampling months (May and June), in and around the city of Cuernavaca.</p><p>This situation probably contributed to the higher concentrations of sulfates with respect to the other ion species, including nitrates, which are also of secondary origin. Although <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x30.png" xlink:type="simple"/></inline-formula><sup> </sup>was one of the three most abundant ions considered in this study, the median concentrations was thirteen times less than the median concentrations of<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x30.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x31.png" xlink:type="simple"/></inline-formula>. Such a condition could be due to the warm climate that characterizes the city of Cuernavaca and does not favor the formation of nitrate in PM2.5 [<xref ref-type="bibr" rid="scirp.50910-ref21">21</xref>] . Aldabe et al. (2011) [<xref ref-type="bibr" rid="scirp.50910-ref20">20</xref>] and Bell et al. (2007) [<xref ref-type="bibr" rid="scirp.50910-ref16">16</xref>] report high concentration levels of nitrates in winter and low concentrations in summer in PM2.5, suggesting the likelihood that this condition is due to the low thermal stability of NH<sub>4</sub>NO<sub>3</sub> in summer, under warm conditions where HNO<sub>3</sub> formation is favored [<xref ref-type="bibr" rid="scirp.50910-ref20">20</xref>] . A longer study of the composition of ions associated with PM2.5 would confirm this condition in the city of Cuernavaca and also yield information about the temporal variation of nitrate in PM2.5.</p><p>In the background species such as Ca<sup>2+</sup> and Mg<sup>2+</sup> appear, which are primarily associated with a geological origin (resuspension of soil dust due to wind or vehicular traffic), indicating a contribution of natural sources to the chemical composition of PM2.5 [<xref ref-type="bibr" rid="scirp.50910-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.50910-ref22">22</xref>] - [<xref ref-type="bibr" rid="scirp.50910-ref24">24</xref>] . Also it is observed that the presence of Cl<sup>−</sup> suggests that this may come from combustion emissions during cooking, coal cars, vegetation burning and incineration [<xref ref-type="bibr" rid="scirp.50910-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.50910-ref16">16</xref>] The presence of K<sup>+</sup> in the aqueous extracts from PM2.5 may well have a geological origin, or to be related to emissions from biomass burning [<xref ref-type="bibr" rid="scirp.50910-ref26">26</xref>] . It is likely that for the city of Cuernavaca part of the K<sup>+</sup> could be originated from soil particles, due to the significant correlation with Ca<sup>2+</sup> [<xref ref-type="bibr" rid="scirp.50910-ref26">26</xref>] .</p></sec><sec id="s3_5"><title>3.5. Correlation between species of anions and cations</title><p>To evaluate the degree of association between the anion and cation species, the entire data set was used to calculate the Spearman’s rank correlation, “r”.</p><p><xref ref-type="table" rid="table3">Table 3</xref> shows the results of this analysis. The values ​​in bold for “r” were significant (p &lt; 0.05). Highlighted among these values ​​are the correlation coefficients between the concentrations of sulfate and ammonium (r = 0.99, p &lt; 0.05), and those concentrations with TA, TC and TI (r = 0.97, 0.96, 0.98 and r = 0.93, 0.96, 0.94, respectively, in all cases p &lt; 0.05). High values ​​obtained for these factors indicate that the variation of the total ion content can be sufficiently explained by the variation in the content of ammonium and sulfates in PM2.5, which were the most abundant in this study.</p><p>Moreover, a linear regression analysis was performed by the least squares method between the levels of anions and cations concentrations, expressed as nM/m<sup>3</sup> (nanomolar per m<sup>3</sup>). This was done with the intention of evaluating the presence of chemical neutralization processes between these species. From this analysis, those results were taken with values ​​of r &gt; 0.82 between anions and cations. The linear regression analysis suggested</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Correlations between ionic species determined at Cuernavaca</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x32.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x33.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x34.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x35.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x36.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" >Na<sup>+</sup></th><th align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x37.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" >K<sup>+</sup></th><th align="center" valign="middle" >Mg<sup>2+</sup></th><th align="center" valign="middle" >Ca<sup>2+</sup></th><th align="center" valign="middle" >PM2.5</th><th align="center" valign="middle" >TA</th><th align="center" valign="middle" >TC</th><th align="center" valign="middle" >TI</th></tr></thead><tr><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x38.png" xlink:type="simple"/></inline-formula></td><td align="center" valign="middle" >1.00</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><td align="center" valign="middle" ></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><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" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x39.png" xlink:type="simple"/></inline-formula></td><td align="center" valign="middle" >0.22</td><td align="center" valign="middle" >1.00</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><td align="center" valign="middle" ></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><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" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x40.png" xlink:type="simple"/></inline-formula></td><td align="center" valign="middle" >0.38</td><td align="center" valign="middle" >0.60</td><td align="center" valign="middle" >1.00</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><td align="center" valign="middle" ></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><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x41.png" xlink:type="simple"/></inline-formula></td><td align="center" valign="middle" >0.62</td><td align="center" valign="middle" >0.43</td><td align="center" valign="middle" >0.61</td><td align="center" valign="middle" >1.00</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><td align="center" valign="middle" ></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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x42.png" xlink:type="simple"/></inline-formula></td><td align="center" valign="middle" >0.44</td><td align="center" valign="middle" >0.56</td><td align="center" valign="middle" >0.60</td><td align="center" valign="middle" >0.65</td><td align="center" valign="middle" >1.00</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><td align="center" valign="middle" ></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" >Na<sup>+</sup></td><td align="center" valign="middle" >0.78</td><td align="center" valign="middle" >0.40</td><td align="center" valign="middle" >0.63</td><td align="center" valign="middle" >0.61</td><td align="center" valign="middle" >0.71</td><td align="center" valign="middle" >1.00</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><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" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x43.png" xlink:type="simple"/></inline-formula></td><td align="center" valign="middle" >0.46</td><td align="center" valign="middle" >0.49</td><td align="center" valign="middle" >0.55</td><td align="center" valign="middle" >0.63</td><td align="center" valign="middle" >0.99</td><td align="center" valign="middle" >0.69</td><td align="center" valign="middle" >1.00</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><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" >K<sup>+</sup></td><td align="center" valign="middle" >0.66</td><td align="center" valign="middle" >0.39</td><td align="center" valign="middle" >0.63</td><td align="center" valign="middle" >0.68</td><td align="center" valign="middle" >0.74</td><td align="center" valign="middle" >0.83</td><td align="center" valign="middle" >0.73</td><td align="center" valign="middle" >1.00</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><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mg<sup>2+</sup></td><td align="center" valign="middle" >0.58</td><td align="center" valign="middle" >0.31</td><td align="center" valign="middle" >0.50</td><td align="center" valign="middle" >0.69</td><td align="center" valign="middle" >0.54</td><td align="center" valign="middle" >0.66</td><td align="center" valign="middle" >0.53</td><td align="center" valign="middle" >0.71</td><td align="center" valign="middle" >1.00</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Ca<sup>2+</sup></td><td align="center" valign="middle" >0.32</td><td align="center" valign="middle" >0.42</td><td align="center" valign="middle" >0.56</td><td align="center" valign="middle" >0.70</td><td align="center" valign="middle" >0.61</td><td align="center" valign="middle" >0.55</td><td align="center" valign="middle" >0.57</td><td align="center" valign="middle" >0.63</td><td align="center" valign="middle" >0.70</td><td align="center" valign="middle" >1.00</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" >PM2.5</td><td align="center" valign="middle" >0.46</td><td align="center" valign="middle" >0.47</td><td align="center" valign="middle" >0.16</td><td align="center" valign="middle" >0.36</td><td align="center" valign="middle" >0.08</td><td align="center" valign="middle" >0.15</td><td align="center" valign="middle" >0.09</td><td align="center" valign="middle" >0.24</td><td align="center" valign="middle" >0.15</td><td align="center" valign="middle" >0.53</td><td align="center" valign="middle" >1.00</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" >TA</td><td align="center" valign="middle" >0.12</td><td align="center" valign="middle" >0.45</td><td align="center" valign="middle" >0.56</td><td align="center" valign="middle" >0.42</td><td align="center" valign="middle" >0.97</td><td align="center" valign="middle" >0.59</td><td align="center" valign="middle" >0.93</td><td align="center" valign="middle" >0.62</td><td align="center" valign="middle" >0.38</td><td align="center" valign="middle" >0.53</td><td align="center" valign="middle" >−0.19</td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >TC</td><td align="center" valign="middle" >0.29</td><td align="center" valign="middle" >0.28</td><td align="center" valign="middle" >0.47</td><td align="center" valign="middle" >0.59</td><td align="center" valign="middle" >0.96</td><td align="center" valign="middle" >0.66</td><td align="center" valign="middle" >0.96</td><td align="center" valign="middle" >0.72</td><td align="center" valign="middle" >0.51</td><td align="center" valign="middle" >0.64</td><td align="center" valign="middle" >−0.06</td><td align="center" valign="middle" >0.94</td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >TI</td><td align="center" valign="middle" >0.17</td><td align="center" valign="middle" >0.41</td><td align="center" valign="middle" >0.54</td><td align="center" valign="middle" >0.42</td><td align="center" valign="middle" >0.98</td><td align="center" valign="middle" >0.63</td><td align="center" valign="middle" >0.94</td><td align="center" valign="middle" >0.68</td><td align="center" valign="middle" >0.43</td><td align="center" valign="middle" >0.59</td><td align="center" valign="middle" >−0.06</td><td align="center" valign="middle" >0.99</td><td align="center" valign="middle" >0.97</td><td align="center" valign="middle" >1.00</td></tr></tbody></table></table-wrap><p>Bold and italics values (p &lt; 0.05).</p><p>that sulfate concentrations are partly neutralized with the ammonia present in the particles (R<sup>2</sup> = 0.97, p &lt; 0.00001), and it is highly probable that these species have been present as ammonium sulfate ((NH<sub>4</sub>)<sub>2</sub>(SO<sub>4</sub>)). <xref ref-type="fig" rid="fig3">Figure 3</xref> represents the process of neutralization between sulfates and ammonium. Other compounds probably found in the PM2.5 are sodium chloride (R<sup>2</sup> = 0.86), magnesium chloride (R<sup>2</sup> = 0.88), calcium chloride (R<sup>2</sup> = 0.79) and calcium phosphate (R<sup>2</sup> = 0.67), in all cases with p &lt; 0.00001. These results give evidence for the existence of neutralization between different species of anions and cations present in the PM2.5, thus this is an important factor in the formation of secondary compounds that comprise these particulate contaminants. The neutralization processes of these species in the atmosphere can be subject to variations in the environmental factors and the availability of their chemical precursors [<xref ref-type="bibr" rid="scirp.50910-ref27">27</xref>] .</p></sec><sec id="s3_6"><title>3.6. Ion Balance</title><p>In order to establish the acidic or basic properties of the aerosols in the urban area of ​​Cuernavaca, the concentrations of the ionic species tested were transformed to nEq/m<sup>3</sup> (nanoequivalents per m<sup>3</sup>).</p><p>After realizing the transformation to nEq/m<sup>3</sup> units and applying a linear regression analysis of least squares method, a value for the slope (m) less than unity (m = 0.60, p &lt; 0.00001) was found. This result indicates that during the sampling campaign, the concentration of anions was not enough to neutralize the ammonia and other species of cations present in the PM2.5. Taking into account the above result may suggest that the particles had alkaline characteristics during this period of the year. It is important to note that these results can vary if other ion species and even other particle sizes are taken into account. <xref ref-type="fig" rid="fig4">Figure 4</xref> shows the results of this analysis considering all campaign study data.</p></sec><sec id="s3_7"><title>3.7. Cluster analysis applied to components associated with PM2.5</title><p>A multivariate analysis Cluster type was performed to the data set of the composition of anions and cations associated with PM2.5. Ward’s method for the formation of groups was applied to standardized variables. The dendrogram allowed for distinguishing two basic groups for integration of anion and cation species (<xref ref-type="fig" rid="fig5">Figure 5</xref>). One of them consists primarily of<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x44.png" xlink:type="simple"/></inline-formula>, Na<sup>+</sup>, Mg<sup>2+</sup> and Ca<sup>2+</sup>. It is known that species such as Mg<sup>2+</sup> and Ca<sup>2+</sup> mainly come from a geological origin. The presence of <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x44.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x45.png" xlink:type="simple"/></inline-formula> and Na<sup>+</sup> in the group coincides with the results of the probable presence of compounds such as sodium chloride, magnesium chloride and calcium chloride, which were described in previous sections. In this first group <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x44.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x45.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x46.png" xlink:type="simple"/></inline-formula> and PM2.5 are close, which, for the latter, may</p><fig id="fig3"  position="float"><label><xref ref-type="fig" rid="fig3">Figure 3</xref></label><caption><title> Neutralization of the total amount of sulfate and ammonium</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-6702439x47.png"/></fig><fig id="fig4"  position="float"><label><xref ref-type="fig" rid="fig4">Figure 4</xref></label><caption><title> Ion balance at Cuernavaca. The slope below the unity correlations indicate particulates with alkalinity properties</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-6702439x48.png"/></fig><p>suggest that the geological material is probably an important component in the source of such particles. This is based on the positive correlation, although moderate, of the particles with Ca<sup>2+</sup> (<xref ref-type="table" rid="table3">Table 3</xref>), with respect to the other ions.</p><p>The second group consists mainly of <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x49.png" xlink:type="simple"/></inline-formula> and<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x49.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x50.png" xlink:type="simple"/></inline-formula>, species of secondary origin and the two most abundant in the present study. In both cases, they are derived from precursors originating from various combustion processes, especially from petroleum derivatives. K<sup>+</sup> and <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x49.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x50.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-6702439x51.png" xlink:type="simple"/></inline-formula> conform to this group by the probable relationship of neutralization or a common origin with nitrates and sulfates, taking into account the respective sig- nificant correlation coefficients, showed in <xref ref-type="table" rid="table3">Table 3</xref>.</p><fig id="fig5"  position="float"><label><xref ref-type="fig" rid="fig5">Figure 5</xref></label><caption><title> Ward’s method of cluster analysis with Pearson for the elements associated with PM2.5</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-6702439x52.png"/></fig></sec></sec><sec id="s4"><title>4. Conclusions</title><p>The trajectories of the winds in the urban area of ​​Cuernavaca indicate that during the study period, the north area (AUSM) may have been influenced by pollutants from the southeast and east of the city.</p><p>The results obtained suggest that the PM2.5 concentration is very homogeneous in Cuernavaca (average concentration 37 &#181;g&#183;m<sup>−3</sup>).</p><p>With respect to the ion concentration the results indicate that the most abundant species are sulfate and ammonium. It is also important to note that the concentration of anions and cations in Cuernavaca is very similar, suggesting common sources and/or similar mechanisms.</p><p>Meanwhile, the ion balance reveals that in the city of Cuernavaca aerosols presented alkaline characteristics during the study period; this means that the amount of anions was not sufficient to neutralize the ammonium and other cation species.</p></sec><sec id="s5"><title>Acknowledgements</title><p>The authors would like to express their appreciation to Winston Smith of the Peace Corps for the revision of this paper, to the Air Quality Monitoring Network of the State of Morelos (RAMAMOR, for its acronym in English) for allowing the installment of the equipment in their locations Special thanks also to National Council for Science and Technology (CONACyT, for its acronym in English) for the financial support in this project.</p></sec><sec id="s6"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.50910-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Twomey, S. (1991) Aerosols, Clouds, and Radiation. Atmospheric Environment, 25, 2435-2442.http://dx.doi.org/10.1016/0960-1686(91)90159-5</mixed-citation></ref><ref id="scirp.50910-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Charlson, R.J., Schwartz, S.E., Hales, J.M., Cess, R.D., Coakley Jr., J.A., Hansen, J.E. and Hofmann, D.J. (1992) Climate Forcing by Anthropogenic Aerosols. Science, 255, 423-430. http://dx.doi.org/10.1126/science.255.5043.423</mixed-citation></ref><ref id="scirp.50910-ref3"><label>3</label><mixed-citation publication-type="book" xlink:type="simple">Andreae, M.O. (1995) Climatic Effects of Changing Atmospheric Aerosol Levels. In: Henderson-Sellers, A., Ed., World Survey of Climatology, Vol. 16, Future Climates of the World, Elsevier, Amsterdam, 341-392.</mixed-citation></ref><ref id="scirp.50910-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">US Environmental Protection Agency (1999) National Air Quality and Missions Trends Report; 454/R-011-004. US Environmental Protection Agency, Washington DC.</mixed-citation></ref><ref id="scirp.50910-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Schwartz, S.E. (1996) The Whitehouse Effect—Shortwave Radiative Forcing of Climate by Anthropogenic Aerosols: An Overview. Journal of Aerosol Science, 27, 359-383. http://dx.doi.org/10.1016/0021-8502(95)00533-1</mixed-citation></ref><ref id="scirp.50910-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Ramanathan, V., Crutzen, P.J., Kiehl, J.T. and Rosenfeld, D. (2001) Atmosphere, Aerosols, Climate, and the Hydrological Cycle. Science, 294, 2119-2124. http://dx.doi.org/10.1126/science.1064034</mixed-citation></ref><ref id="scirp.50910-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Menon, S., Hansen, J., Nazarenko, L. and Luo, Y. (2002) Climate Effects of Elemental Carbon Aerosols in China and India. Science, 297, 2250-2253. http://dx.doi.org/10.1126/science.1075159</mixed-citation></ref><ref id="scirp.50910-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Brook, J.R., Dann, T.F. and Burnett, R.T. (1997) The Relationship among TSP, PM10, PM2.5 and Inorganic Constituents of Atmospheric Particulate Matter at Multiple Canadian Locations. Journal of Air &amp; Waste Management Association, 47, 2-19. http://dx.doi.org/10.1080/10473289.1997.10464407</mixed-citation></ref><ref id="scirp.50910-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Lee, J.H., Kim, Y.P., Moon, K.C., Kim, H.K. and Lee, C.B. (2001) Fine Particle Measurement at Two Background Sites in Korea between 1996 and 1997. Atmospheric Environment, 35, 635-643.http://dx.doi.org/10.1016/S1352-2310(00)00378-2</mixed-citation></ref><ref id="scirp.50910-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Wang, G., Wang, H., Yu, Y., Gao, S., Feng, J., Gao, S. and Wang, L. (2003) Chemical Characterization of Water-Soluble Components of PM10 and PM2.5 Atmospheric Aerosols in Five Locations of Nanjing, China. Atmospheric Environment, 37, 2893-2903. http://dx.doi.org/10.1016/S1352-2310(03)00271-1</mixed-citation></ref><ref id="scirp.50910-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Cheng, M.T., Lin, Y.C., Chio, C.P., Wang, C.F. and Kuo, C.Y. (2005) Characteristics of Aerosols Collected in Central Taiwan during Asian Dust Event in Spring 2000. Chemosphere, 61, 1439-1450.http://dx.doi.org/10.1016/j.chemosphere.2005.04.120</mixed-citation></ref><ref id="scirp.50910-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Yin, J. and Harrison, R.M. (2008) Pragmatic Mass Closure Study for PM1.0, PM2.5 and PM10 at Roadside, Urban Background and Rural Sites. Atmospheric Environment, 42, 980-988. http://dx.doi.org/10.1016/j.atmosenv.2007.10.005</mixed-citation></ref><ref id="scirp.50910-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Cheng, Y., Lee, S.C., Ho, K.F. and Fung, K. (2010) Positive Sampling Artifacts in Particulate Organic Carbon Measurements in Roadside Environment. Environmental Monitoring and Assessment, 168, 645-656.http://dx.doi.org/10.1007/s10661-009-1140-1</mixed-citation></ref><ref id="scirp.50910-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Ito, K., Xue, N. and Thurston, G. (2004) Spatial Variation of PM2.5 Chemical Species and Sources-Apportioned Mass Concentration in New York City. Atmospheric Environment, 38, 5269-5282.http://dx.doi.org/10.1016/j.atmosenv.2004.02.063</mixed-citation></ref><ref id="scirp.50910-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Hueglin, C., Gehrig, R., Baltensperger, U., Gysel, M., Monn, C. and Vonmont, H. (2005) Chemical Characterisation of PM2.5, PM10 and Coarse Particles at Urban, Near-City and Rural Sites in Switzerland. Atmospheric Environment, 39, 637-651. http://dx.doi.org/10.1016/j.atmosenv.2004.10.027</mixed-citation></ref><ref id="scirp.50910-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Bell, M.L., Dominici, F., Ebisu, K., Zeger, S.L. and Samet, J.M. (2007) Spatial and Temporal Variation in PM2.5 Chemical Composition in the United States for Health Effects Studies. Environment Health Perspectives, 115, 989-995. http://dx.doi.org/10.1289/ehp.9621</mixed-citation></ref><ref id="scirp.50910-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Báez, P.A., Garcia, M.R., Torres, B.M., Padilla, H.G., Belmont, R.D., Amador, M.O. and Villalobos-Pietrini, R. (2007) Origin of Trace Elements and Inorganic Ions in PM10 Aerosols to the South of Mexico City. Atmospheric Research, 85, 52-63. http://dx.doi.org/10.1016/j.atmosres.2006.11.003</mixed-citation></ref><ref id="scirp.50910-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Clapp, L.J. and Jenkin, M.E. (2001) Analysis of the Relationship between Ambient Levels of O3, NO2 and NO as a Function of NOx in the UK. Atmospheric Environment, 35, 6391-6405.http://dx.doi.org/10.1016/S1352-2310(01)00378-8</mixed-citation></ref><ref id="scirp.50910-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Hodgson, E. (2004) A Textbook of Modern Toxicology. Wiley-Interscience, Hoboken.http://dx.doi.org/10.1002/0471646776</mixed-citation></ref><ref id="scirp.50910-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Aldabe, J., Elustondo, D., Santamaria, C., Lasheras, E., Pandolfi, M., Alastuey, A., Querol, X. and Santamaria, J.M. (2011) Chemical Characterisation and Source Apportionment of PM2.5 and PM10 at Rural, Urban and Traffic Sites in Navarra (North of Spain). Atmospheric Research, 102, 191-205. http://dx.doi.org/10.1016/j.atmosres.2011.07.003</mixed-citation></ref><ref id="scirp.50910-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Baker, K.R. and Foley, K.M. (2011) A Nonlinear Regression Model Estimating Single Source Concentrations of Primary and Secondarily Formed PM2.5. Atmospheric Environment, 45, 3758-3767.http://dx.doi.org/10.1016/j.atmosenv.2011.03.074</mixed-citation></ref><ref id="scirp.50910-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Hagler, G.S.W., Bergin, M.H., Smith, E.A. and Dibb, J.E. (2007) A Summer Time Series of Particulate Carbon in the Air and Snow at Summit, Greenland. Journal of Geophysical Research: Atmospheres, 112, Published Online.http://dx.doi.org/10.1029/2007JD008993</mixed-citation></ref><ref id="scirp.50910-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Kocak, M., Mihalopoulos, N. and Kubilay, N. (2007) Chemical Composition of the Fine and Coarse Fraction of Aerosols in the Northeastern Mediterranean. Atmospheric Environment, 41, 7351-7368.http://dx.doi.org/10.1016/j.atmosenv.2007.05.011</mixed-citation></ref><ref id="scirp.50910-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Teixeira, E.C., Meira, L., de Santana, E.R.R. and Wiegand, F. (2009) Chemical Composition of PM10 and PM2.5 and Seasonal Variations in South Brazil. Water, Air, Soil Pollution, 199, 261-275http://dx.doi.org/10.1007/s11270-008-9876-8</mixed-citation></ref><ref id="scirp.50910-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Yang, H., Yu, J.Z., Ho, S.S., Xu, J., Wu, W.S., Wan, C.H., et al. (2005) The Chemical Composition of Inorganic and Carbonaceous Materials in PM2.5 in Nanjing, China. Atmospheric Environment, 39, 3735-3749.http://dx.doi.org/10.1016/j.atmosenv.2005.03.010</mixed-citation></ref><ref id="scirp.50910-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Wang, Y., Zhuang, G.S., Tang, A.H., Yuan, H., Sun, Y.L., Chen, S. and Zheng, A.H. (2005) The Ion Chemistry and the Source of PM2.5 Aerosol in Beijing. Atmospheric Environment, 39, 3771-3784.http://dx.doi.org/10.1016/j.atmosenv.2005.03.013</mixed-citation></ref><ref id="scirp.50910-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Rattigan, V.O., Hogrefeb, O., Feltona, D.H., Schwabb, J.J., Roychowdhuryb, K.U., Husainc, L., et al. (2006) Multi-Year Urban and Rural Semi-Continuous PM2.5 Sulfate and Nitrate Measurements in New York State: Evaluation and Comparison with Filter Based Measurements. Atmospheric Environment, 40, 192-205.http://dx.doi.org/10.1016/j.atmosenv.2005.12.071</mixed-citation></ref></ref-list></back></article>