<?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.2019.102012</article-id><article-id pub-id-type="publisher-id">JEP-90419</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>
 
 
  Indoor Dust-Based Pollution Status and Risk Assessment for a Rural Town, Ebedei in Nigeria Hosting Gas Flare Facility
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>N.</surname><given-names>Boisa</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>B.</surname><given-names>U. Odagwe</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Chemistry, Rivers State University, Port Harcourt, Nigeria</addr-line></aff><pub-date pub-type="epub"><day>23</day><month>01</month><year>2019</year></pub-date><volume>10</volume><issue>02</issue><fpage>208</fpage><lpage>220</lpage><history><date date-type="received"><day>6,</day>	<month>December</month>	<year>2018</year></date><date date-type="rev-recd"><day>30,</day>	<month>January</month>	<year>2019</year>	</date><date date-type="accepted"><day>2,</day>	<month>February</month>	<year>2019</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>
 
 
  Recently, there has been series of petitions and protestations from petroleum production gas flare facility host communities in Nigeria about the degradation of their environment. This study was designed to conduct indoor dust related human health risk assessment for Cd, Pb, Mn and Ni. Deposited indoor dust samples were collected from sixteen (16) residential buildings distributed across the four quarters of Ebedei waterside town in Nigeria, within the vicinity of a petroleum production gas flare facility. The samples were digested and analysed for Cd, Pb, Mn and Ni concentrations using inductively coupled plasma mass spectrometry (ICP-MS). Contamination/pollution index (C/PI) and human health risk assessments were conducted. The concentration ranges of 1.2 - 14.9 mg/kg, 44.0 - 161.6 mg/kg and 221.3 - 752.0 mg/kg, and below detection to 29.8 mg/kg were recorded for Cd, Pb, Mn and Ni, respectively. C/PI analyses for metals in the indoor dusts investigated suggested Cd levels to be polluted and Pb levels to be slightly polluted, while Mn and Ni levels indicated contamination. Risk assessment studies indicated that children may be more at risk for all the three exposure pathways. Exposure through the ingestion pathway indicated the highest risk for both the adult and children population.
 
</p></abstract><kwd-group><kwd>Gas Flare Facility</kwd><kwd> Ebedei</kwd><kwd> Risk Assessment</kwd><kwd> Heavy Metals</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Indoor dust is a conglomerate of particulate matter from several sources in the indoor environments [<xref ref-type="bibr" rid="scirp.90419-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.90419-ref2">2</xref>]. Most depositions of metals associated with combustion occur in the particulate form [<xref ref-type="bibr" rid="scirp.90419-ref3">3</xref>]. Indoor dust is a source of deposition of heavy metals in potentially harmful quantities to human beings [<xref ref-type="bibr" rid="scirp.90419-ref4">4</xref>]. Concentrations of potentially toxic metals like Pb and Mn in settled house dust correlated significantly with concentrations in re-suspended health relevant fractions [<xref ref-type="bibr" rid="scirp.90419-ref5">5</xref>]. We are most likely to contact indoor dust because a significant proportion of time is spent in the indoors [<xref ref-type="bibr" rid="scirp.90419-ref6">6</xref>]. So, the indoor dust is an important exposure pathway to heavy metals for humans [<xref ref-type="bibr" rid="scirp.90419-ref7">7</xref>].</p><p>In the indoor environment, heavy metals are released from consumer products, furniture and building materials and through occupants’ activities such as smoking and incense burning [<xref ref-type="bibr" rid="scirp.90419-ref8">8</xref>]. The major migration pathways for inorganic contaminants, such as heavy metals, from the exterior environment to the interior environment are the infiltration of contaminated outdoor air and the track-in of soil adhering to foot and footwear [<xref ref-type="bibr" rid="scirp.90419-ref9">9</xref>].</p><p>A good number of researchers have reported in various studies the levels of heavy metals in indoor dust from residential buildings [<xref ref-type="bibr" rid="scirp.90419-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.90419-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.90419-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.90419-ref12">12</xref>] , especially in cities and urban centres. In Nigeria, however, only a few studies have been carried out to examine the concentrations of heavy metals in the indoor dust of environment [<xref ref-type="bibr" rid="scirp.90419-ref13">13</xref>]. Ebedei Waterside is a rural community in Delta State of Nigeria and the major economic activity taking place in the community is farming. However, the community is a host to an oil exploration facility which flares gas at a rate that is being feared to be introducing harmful substances at a high level into the community environment.</p><p>Metals in the indoor dust can accumulate in the human body through inhalation of re-suspended dust particles, ingestion of dust particles as a result of hand-to-mouth and object-to-mouth actions, and/or through dermal contact absorption of dust particles [<xref ref-type="bibr" rid="scirp.90419-ref14">14</xref>]. An increasing global concern is being given to the contamination of the indoor environment by heavy metals in order to investigate their impact on human health and to minimize health risks [<xref ref-type="bibr" rid="scirp.90419-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.90419-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.90419-ref17">17</xref>].</p><p>Children have been reported in various studies such as that of to have great susceptibility to the menace of the pollution of the indoor environment by heavy metals [<xref ref-type="bibr" rid="scirp.90419-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.90419-ref18">18</xref>]. Due to their frequent playing on the ground and mouthing of hand and other objects in the process, children take in more contaminated indoor dust each day as compared to the incidental ingestion of dust particles by adult [<xref ref-type="bibr" rid="scirp.90419-ref19">19</xref>]. Children are very vulnerable to heavy metal poisoning as their organs (the brain for example) are in a period of active growth and differentiation, making them have low tolerance to toxins [<xref ref-type="bibr" rid="scirp.90419-ref20">20</xref>].</p><p>The effects of metal contaminated indoor dust on human health is presently well publicized, but there is currently a paucity data on the emissions constituents from petroleum-based gas flare and their possible impact on the environment due to restricted access to the facility [<xref ref-type="bibr" rid="scirp.90419-ref21">21</xref>]. Risk assessment estimates the severity of harm to human and other receptors that may result from exposure to chemicals present in the environment [<xref ref-type="bibr" rid="scirp.90419-ref22">22</xref>]. Human induced enrichment of toxic metals in dust to concentrations beyond “safe” levels is likely to cause harm to human at site of gas flare. Nigeria is currently the second ranking country in volume of gas flared in the world [<xref ref-type="bibr" rid="scirp.90419-ref23">23</xref>]. This study was therefore designed to determine the concentrations of selected heavy metal in indoor dust within the vicinity of a gas flare facility and estimate possible human health risk for a gas flare rural community.</p></sec><sec id="s2"><title>2. Materials and Method</title><sec id="s2_1"><title>2.1. Description of the Study Area</title><p>The study was done in Ebedei Waterside, one of two geographically separated regions of Ebedei community; the other being called Ebedei-Uno. Ebedei Waterside lies between 5˚52'N and 6˚11'E, and 5˚54'N and 6˚13'E along the coast of River Ethiope and it is just around 3 km away from Obiaruku, the Local Government Headquarters. It is divided into four smaller quarters; Obi-Iloh (Umuosele), Obi-Ogene (Umueziogoli), Adonishaka (Ogbe-Uzu) and Ukwuole, with each quarter having four streets. Farming is the common economic activity of the people living in the four quarters. Ebedei Waterside also play host to Platform Petroleum Company―an oil exploration company.</p></sec><sec id="s2_2"><title>2.2. Sampling</title><p>Indoor dust samples were collected from sixteen (16) residential buildings in Ebedei Waterside (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Four samples from the four streets of each quarter. The collection was done with the aid of a plastic brush and a plastic pan. For every portion of a composite sample, a clean set of plastic brush and plastic pan was used to scoop deposited indoor dust particles from the surfaces of various objects within the residential apartments into a fresh and clean plastic tube. Of the varying surfaces of indoor object from which the deposited dusts were collected, the surfaces of ceiling fans were the most prominent. After the samples from the sixteen sites have been collected into separate plastic tubes, they were all packed together and transferred to the laboratory for subsequent preparations and analysis.</p></sec><sec id="s2_3"><title>2.3. Sample Digestion and Instrumental Analysis</title><p>The collected samples were kept in the sealed plastic tubes in the laboratory until preparation for analysis. In preparation for analysis, a 0.5 g portion of each of the collected samples were measured in duplicates and were all digested with 20 ml aqua regia (mixture of HCl and HNO<sub>3</sub> in the ratio of 3:1) by heating them in a solution of the acid mixture for 2 hours. The mixtures were then filtered and the filtrates were diluted to 50 ml with deionized water. The contents of Cd, Pb, Mn and Ni were then determined in all the samples using inductively coupled plasma-mass spectrometry (ICP-MS).</p></sec><sec id="s2_4"><title>2.4. Contamination/Pollution Index (C/PI)</title><p>A comparison between the concentrations of heavy metals in the sampled sites and their reference levels was done to establish a contamination/pollution index</p><p>for each of the studied elements in the studied area. This provides adequate information about the significance of the measured concentrations of metals in the indoor dust samples and how the values obtained are related to the maximum allowable limits for the metals [<xref ref-type="bibr" rid="scirp.90419-ref24">24</xref>]. It was derived by employing the contamination/pollution index as previously applied [<xref ref-type="bibr" rid="scirp.90419-ref25">25</xref>].</p><p>C / P I = concentration of metal in dust reference value (1)</p><p>No allowable maximum levels of heavy metals have been established for dust samples (indoor or outdoor) by the time of doing this study, hence; the reference values used in this case is the Department of Petroleum Resources of Nigeria maximum allowable levels of metals in soil [<xref ref-type="bibr" rid="scirp.90419-ref26">26</xref>] as stated listed in <xref ref-type="table" rid="table1">Table 1</xref>.</p><p>The categorization of degree of contamination/pollution based on this index is as follows: &lt;0.10 = very slight contamination; 0.10 - 0.25 = slight contamination; 0.26 - 0.50 = moderate contamination; 0.51 - 0.75 = severe contamination; 0.76 - 1.00 = very severe contamination; 1.10 - 2.00 = slight pollution; 2.10 - 4.00 = moderate pollution; 4.10 - 8.00 = severe pollution; 8.10 - 16.00 = very severe pollution; &gt;16.00 = excessive pollution.</p></sec><sec id="s2_5"><title>2.5. Human Exposures and Risk Assessment</title><p>Humans are exposed to these contaminants through three major pathways- inhalation, ingestion and dermal absorption. The intake doses from the respective exposure pathways by the children and adult populations were estimated using Equations (2), (3) and (4) adapted from US EPA [<xref ref-type="bibr" rid="scirp.90419-ref27">27</xref>]. The individual terms and their values inputted into the risk assessment equations are provided in <xref ref-type="table" rid="table2">Table 2</xref>.</p><p>D i n h ( mg / kg / day ) = C ( mg / kg ) &#215; i n h R &#215; E F &#215; E D P E F &#215; A B W &#215; A T (2)</p><p>D i n g ( mg / kg / day ) = C ( mg / kg ) &#215; i n g R &#215; E F &#215; E D A B W &#215; A T &#215; 10 − 6 (3)</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Reference values of heavy metals (mg/kg)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Metal</th><th align="center" valign="middle" >Reference value</th></tr></thead><tr><td align="center" valign="middle" >Cd</td><td align="center" valign="middle" >0.8</td></tr><tr><td align="center" valign="middle" >Pb</td><td align="center" valign="middle" >85</td></tr><tr><td align="center" valign="middle" >Mn</td><td align="center" valign="middle" >850*</td></tr><tr><td align="center" valign="middle" >Ni</td><td align="center" valign="middle" >35</td></tr></tbody></table></table-wrap><p>*Derived from the crustal abundance value. Adapted from [<xref ref-type="bibr" rid="scirp.90419-ref26">26</xref>].</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Description of parameters used in the health risk assessment</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Parameters</th><th align="center" valign="middle"  rowspan="2"  >Definition</th><th align="center" valign="middle"  colspan="2"  >Values</th><th align="center" valign="middle"  rowspan="2"  >References</th></tr></thead><tr><td align="center" valign="middle" >Child</td><td align="center" valign="middle" >Adult</td></tr><tr><td align="center" valign="middle" >C</td><td align="center" valign="middle" >Metals concentration in dust</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" >inhR</td><td align="center" valign="middle" >Inhalation rate</td><td align="center" valign="middle" >7.6 m<sup>3</sup>/day</td><td align="center" valign="middle" >20 m<sup>3</sup>/day</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.90419-ref29">29</xref>]</td></tr><tr><td align="center" valign="middle" >ingR</td><td align="center" valign="middle" >Ingestion rate</td><td align="center" valign="middle" >200 mg/day</td><td align="center" valign="middle" >100 mg/day</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.90419-ref30">30</xref>]</td></tr><tr><td align="center" valign="middle" >EF</td><td align="center" valign="middle" >Exposure frequency</td><td align="center" valign="middle"  colspan="2"  >180 days/year</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.90419-ref29">29</xref>]</td></tr><tr><td align="center" valign="middle" >ED</td><td align="center" valign="middle" >Exposure duration</td><td align="center" valign="middle" >6 years</td><td align="center" valign="middle" >24 years</td><td align="center" valign="middle"  rowspan="5"  >[<xref ref-type="bibr" rid="scirp.90419-ref31">31</xref>]</td></tr><tr><td align="center" valign="middle" >AT</td><td align="center" valign="middle" >Averaging time</td><td align="center" valign="middle"  colspan="2"  >ED &#215; 365 days (for non-carcinogenic), 25,550 days (for carcinogenic)</td></tr><tr><td align="center" valign="middle" >PEF</td><td align="center" valign="middle" >Particle emission factor</td><td align="center" valign="middle"  colspan="2"  >1.36 &#215; 10<sup>9</sup> m<sup>3</sup>/kg</td></tr><tr><td align="center" valign="middle" >SA</td><td align="center" valign="middle" >Exposed skin area</td><td align="center" valign="middle" >2800 cm<sup>2</sup></td><td align="center" valign="middle" >5700 cm<sup>2</sup></td></tr><tr><td align="center" valign="middle" >SAF</td><td align="center" valign="middle" >Skin adherence factor</td><td align="center" valign="middle" >0.2 mg/cm<sup>2</sup>/day</td><td align="center" valign="middle" >0.07 mg/cm<sup>2</sup>/day</td></tr><tr><td align="center" valign="middle" >DAF</td><td align="center" valign="middle" >Dermal absorption factor</td><td align="center" valign="middle"  colspan="2"  >0.001</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.90419-ref10">10</xref>]</td></tr><tr><td align="center" valign="middle" >ABW</td><td align="center" valign="middle" >Average body weight</td><td align="center" valign="middle" >15 kg</td><td align="center" valign="middle" >70 kg</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.90419-ref32">32</xref>]</td></tr><tr><td align="center" valign="middle" >CR</td><td align="center" valign="middle" >Contact rate (inhR or ingR or SA &#215; SAF &#215;<sub> </sub>DAF)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.90419-ref27">27</xref>]</td></tr></tbody></table></table-wrap><p>D d e r m a l ( mg / kg / day ) = C ( mg / kg ) &#215; S A &#215; S A F &#215; D A F &#215; E F &#215; E D A B W &#215; A T &#215; 10 − 6   (4)</p><p>The non-carcinogenic and carcinogenic risks as a result of exposures to the metals in the dust samples were considered in this study. The non-carcinogenic risks were estimated using a factor known as the Hazard Quotient (HQ)―the ratio of the intake doses from each of the pathways to the respective reference intake doses (RfD) for each metal across each pathway, as shown in Equation (5). The cumulative non-carcinogenic hazard risk from all the exposure pathways was rated as the Hazard Index (HI) for children and adults as calculated using equation provided by US EPA [<xref ref-type="bibr" rid="scirp.90419-ref27">27</xref>].</p><p>Hazard Quotient ( H Q ) = D R f D (5)</p><p>Hazard Index ( H I ) = ∑ H Q = H Q i n h + H Q i n g + H Q d e r m a l (6)</p><p>In the assessment of the carcinogenic risk, the lifetime average daily dose (LADD), a weighted average of the intake doses of a contaminant over a lifetime [<xref ref-type="bibr" rid="scirp.90419-ref28">28</xref>] was calculated for Cd and Ni―the two carcinogens considered in this study―through the inhalation route of exposure, as shown in Equation (7) below. To quantitatively estimate the carcinogenic risk (CR), the LADD was multiplied by the inhalation slope factor (SF).</p><p>L A D D ( mg / kg / day ) = C ( mg / kg ) A T &#215; [ C R c h i l d &#215; E D c h i l d B W c h i l d + C R a d u l t &#215; E D a d u l t B W a d u l t ] (7)</p></sec></sec><sec id="s3"><title>3. Results and Discussion</title><p>The concentrations of cadmium, lead, manganese and nickel in four different samples of indoor dust from each of the four quarters of Ebedei and their respective mean values are provided in <xref ref-type="table" rid="table3">Table 3</xref>. All the metals investigated in study have previously been found in suspended particulate matter of the study location [<xref ref-type="bibr" rid="scirp.90419-ref33">33</xref>]. Excluding Mn the other three metals investigated in this study also indicated enrichment factors above 40.</p><p>The mean concentrations of cadmium in the indoor dust of Obi-Iloh, Obi-Ogene, Adonishaka and Ukwuole were 6.2 mg/kg, 4.8 mg/kg, 5.2 mg/kg and 3.0 mg/kg respectively (<xref ref-type="table" rid="table3">Table 3</xref>). All means recorded for the four quarters were above the 0.8 mg/kg permissible value set by the Nigerian Department of Petroleum Resources for soil matrix [<xref ref-type="bibr" rid="scirp.90419-ref26">26</xref>]. The range of means of the concentrations observed for Cd in four quarter of the study area 3.0 - 6.2 mg/kg, 4.8 mg/kg is above the range of &lt;0.05 mg/kg previously reported by Asia et al. (2007) [<xref ref-type="bibr" rid="scirp.90419-ref34">34</xref>] for surface soil at flare site in Nigeria. The range of Cd, 1.2 mg/kg and 14.9 mg/kg obtained in this study consistent with the range of 0.2 mg/kg to 20 mg/kg reported for Cd in the city of Instabul, Turkey [<xref ref-type="bibr" rid="scirp.90419-ref10">10</xref>].</p><p>The mean concentrations of lead in the samples from Obi-Iloh, Obi-Ogene, Adonishaka and Ukwuole were 98.9 mg/kg, 132.4 mg/kg, 79.0 mg/kg and 79.5 mg/kg respectively (<xref ref-type="table" rid="table3">Table 3</xref>). Mean values recorded for Obi-Iloh and Obi-Ogene were both above the 85.0 mg/kg reference value set by the Nigerian Department of Petroleum Resources for soil matrix [<xref ref-type="bibr" rid="scirp.90419-ref26">26</xref>] , while those recorded for Adonishaka and Ukwuole were below the set reference value. The mean concentrations of the four quarters, 98.9 mg/kg, 132.4 mg/kg, 79.0 mg/kg and 79.5 mg/kg are consistent with the concentration, 99.4 mg/kg reported previously [<xref ref-type="bibr" rid="scirp.90419-ref33">33</xref>] for surface soil at a gas flare facility in Niger delta, Nigeria. Also the range of means (79.0 - 132.4 mg/kg) recorded in this study is consistent with 60.1 - 388 mg/kg [<xref ref-type="bibr" rid="scirp.90419-ref34">34</xref>] and 3 - 230 mg/kg [<xref ref-type="bibr" rid="scirp.90419-ref10">10</xref>] reported for indoor dust in other parts of the world.</p><p>The mean concentrations of manganese in the indoor dusts of Obi-Iloh, Obi-Ogene, Adonishaka and Ukwuole were 386.9 mg/kg, 604.9 mg/kg, 406.7 mg/kg and 282.7 mg/kg respectively (<xref ref-type="table" rid="table3">Table 3</xref>). All the recorded mean values for the four quarters were below the 650.0 mg/kg reference value set by the Nigerian Department of Petroleum Resources for soil matrix [<xref ref-type="bibr" rid="scirp.90419-ref26">26</xref>].</p><p>In the case of nickel, the recorded mean concentrations in Obi-Iloh, Obi-Ogene, Adonishaka and Ukwuole were 23.0 mg/kg, 19.9 mg/kg, 17.0 mg/kg</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Concentrations of cadmium, lead, manganese and nickel in the four quarters of Ebedei</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Quarter</th><th align="center" valign="middle" >Sample code</th><th align="center" valign="middle" >Cadmium</th><th align="center" valign="middle" >Lead</th><th align="center" valign="middle" >Manganese</th><th align="center" valign="middle" >Nickel</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="5"  >mg/kg</td></tr><tr><td align="center" valign="middle" >Obi-Iloh</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >14.9</td><td align="center" valign="middle" >153.8</td><td align="center" valign="middle" >483.0</td><td align="center" valign="middle" >24.5</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >4.3</td><td align="center" valign="middle" >88.0</td><td align="center" valign="middle" >333.9</td><td align="center" valign="middle" >17.0</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >2.8</td><td align="center" valign="middle" >44.0</td><td align="center" valign="middle" >283.0</td><td align="center" valign="middle" >26.6</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >2.8</td><td align="center" valign="middle" >109.8</td><td align="center" valign="middle" >447.5</td><td align="center" valign="middle" >24.5</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >6.2</td><td align="center" valign="middle" >98.9</td><td align="center" valign="middle" >386.9</td><td align="center" valign="middle" >23.0</td></tr><tr><td align="center" valign="middle" >Obi-Ogene</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >3.3</td><td align="center" valign="middle" >109.6</td><td align="center" valign="middle" >544.0</td><td align="center" valign="middle" >22.3</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >2.3</td><td align="center" valign="middle" >107.6</td><td align="center" valign="middle" >501.3</td><td align="center" valign="middle" >27.6</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >6.2</td><td align="center" valign="middle" >150.8</td><td align="center" valign="middle" >622.4</td><td align="center" valign="middle" >29.8</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >7.2</td><td align="center" valign="middle" >161.6</td><td align="center" valign="middle" >752.0</td><td align="center" valign="middle" >b.d</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >4.8</td><td align="center" valign="middle" >132.4</td><td align="center" valign="middle" >604.9</td><td align="center" valign="middle" >19.9</td></tr><tr><td align="center" valign="middle" >Adonishaka</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >5.6</td><td align="center" valign="middle" >140.0</td><td align="center" valign="middle" >617.2</td><td align="center" valign="middle" >1.1</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >6.2</td><td align="center" valign="middle" >53.8</td><td align="center" valign="middle" >361.3</td><td align="center" valign="middle" >23.4</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >4.0</td><td align="center" valign="middle" >55.5</td><td align="center" valign="middle" >271.5</td><td align="center" valign="middle" >24.6</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >5.0</td><td align="center" valign="middle" >66.6</td><td align="center" valign="middle" >376.9</td><td align="center" valign="middle" >19.1</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >5.2</td><td align="center" valign="middle" >79.0</td><td align="center" valign="middle" >406.7</td><td align="center" valign="middle" >17.0</td></tr><tr><td align="center" valign="middle" >Ukwuole</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >2.8</td><td align="center" valign="middle" >77.7</td><td align="center" valign="middle" >221.3</td><td align="center" valign="middle" >19.2</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >5.0</td><td align="center" valign="middle" >76.6</td><td align="center" valign="middle" >224.7</td><td align="center" valign="middle" >19.1</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >2.8</td><td align="center" valign="middle" >66.6</td><td align="center" valign="middle" >356.1</td><td align="center" valign="middle" >22.3</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >1.2</td><td align="center" valign="middle" >96.9</td><td align="center" valign="middle" >328.7</td><td align="center" valign="middle" >25.6</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >3.0</td><td align="center" valign="middle" >79.5</td><td align="center" valign="middle" >282.7</td><td align="center" valign="middle" >21.6</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Reference (DPR, 2002)</td><td align="center" valign="middle" >0.8</td><td align="center" valign="middle" >85.0</td><td align="center" valign="middle" >850.0</td><td align="center" valign="middle" >35.0</td></tr></tbody></table></table-wrap><p>and 21.6 mg/kg respectively (<xref ref-type="table" rid="table3">Table 3</xref>). All of which values were below the set reference value of 35.0 mg/kg for nickel in soil matrix by the Nigerian Department of Petroleum Resources [<xref ref-type="bibr" rid="scirp.90419-ref26">26</xref>]. The mean concentrations, 23.0 mg/kg, 19.9 mg/kg, 17.0 mg/kg and 21.6 mg/kg are above the concentration, 6.7 mg/kg reported previously [<xref ref-type="bibr" rid="scirp.90419-ref33">33</xref>] for surface soils around the vicinity of a gas flare facility in Nigeria. The means obtained for the four quarters of Ebedei in this study, 23.0 mg/kg, 19.9 mg/kg, 17.0 mg/kg and 21.6 mg/kg are consistent with range of concentration mean, 17.1 - 53.6 mg/kg obtained for 12 rural cities in China [<xref ref-type="bibr" rid="scirp.90419-ref35">35</xref>].</p></sec><sec id="s4"><title>4. Contamination/Pollution Index (C/PI)</title><p>The index values presented in <xref ref-type="table" rid="table4">Table 4</xref> show that Cd levels in the studied area are within the range of moderate to severe pollution. The Pb levels range between severe contaminations to slight pollution for the four quarters. Mn concentrations ranged between moderate to severe contaminations in the four quarters</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Contamination/pollution index of Cd, Pb, Mn and Ni for deposited indoor dust</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Quarter</th><th align="center" valign="middle" >Cd</th><th align="center" valign="middle" >Pb</th><th align="center" valign="middle" >Mn</th><th align="center" valign="middle" >Ni</th></tr></thead><tr><td align="center" valign="middle" >Obi-Iloh</td><td align="center" valign="middle" >7.75</td><td align="center" valign="middle" >1.16</td><td align="center" valign="middle" >0.46</td><td align="center" valign="middle" >0.66</td></tr><tr><td align="center" valign="middle" >Obi-Ogene</td><td align="center" valign="middle" >6.00</td><td align="center" valign="middle" >1.56</td><td align="center" valign="middle" >0.71</td><td align="center" valign="middle" >0.57</td></tr><tr><td align="center" valign="middle" >Adonishaka</td><td align="center" valign="middle" >6.50</td><td align="center" valign="middle" >0.93</td><td align="center" valign="middle" >0.48</td><td align="center" valign="middle" >0.49</td></tr><tr><td align="center" valign="middle" >Ukwuole</td><td align="center" valign="middle" >3.75</td><td align="center" valign="middle" >0.94</td><td align="center" valign="middle" >0.33</td><td align="center" valign="middle" >0.62</td></tr></tbody></table></table-wrap><p>&lt;0.10 = very slight contamination; 0.10 - 0.25 = slight contamination; 0.26 - 0.50 = moderate contamination; 0.51 - 0.75 = severe contamination; 0.76 - 1.00 = very severe contamination; 1.10 - 2.00 = slight pollution; 2.10 - 4.00 = moderate pollution; 4.10 - 8.00 = severe pollution; 8.10-16.00 = very severe pollution; &gt;16.00 = excessive pollution.</p><p>studied. Ni concentration levels suggest that the town is contaminated severely.</p></sec><sec id="s5"><title>5. Health Risk Assessment</title><p>Predicted daily intake doses for the oral pathway is higher than those obtained for the dermal and inhalation exposures for all population types considered (<xref ref-type="table" rid="table5">Table 5</xref>). Hazard quotient values followed the same sequence; suggesting that humans are more at risk of non-carcinogenic effect when exposed to these heavy metals through the ingestion mode than the other two modes of exposure as greater percentage of the HI values of the studied metals is contributed by the HQ<sub>ing</sub>. This is consistent with several reports elsewhere [<xref ref-type="bibr" rid="scirp.90419-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.90419-ref34">34</xref>] [<xref ref-type="bibr" rid="scirp.90419-ref36">36</xref>]. Also the daily intake doses predicted for children are above those for adults irrespective of the pathway.</p><p>For Cd in samples the estimated daily intake dose ranges are (3.2E−05 - 8.8E−10 &#181;g ⋅ kg BW − 1 ⋅ d − 1 ) and (3.2E−06 - 5.0E−10 &#181;g ⋅ kg BW − 1 ⋅ d − 1 ) for children and adults, respectively for all three pathways (<xref ref-type="table" rid="table5">Table 5</xref>). The daily intake doses predicted for both children and adults in Ebedei are below the known reference doses of 1.0E−03 &#181;g ⋅ kg BW − 1 ⋅ d − 1 , 1.0E−03 &#181;g ⋅ kg BW − 1 ⋅ d − 1 and 5.05E−05 &#181;g ⋅ kg BW − 1 ⋅ d − 1 for ingestion, inhalation and dermal, respectively. For Pb in samples the estimated daily intake dose ranges are (6.4E−04 - 1.0E−08 &#181;g ⋅ kg BW − 1 ⋅ d − 1 ) and (6.9E−05 - 1.0E−08 &#181;g ⋅ kg BW − 1 ⋅ d − 1 ) for children and adults, respectively for all three pathways (<xref ref-type="table" rid="table5">Table 5</xref>). The daily intake doses predicted for both children and adults in Ebedei are below the known reference doses of 3.5E−03 &#181;g ⋅ kg BW − 1 ⋅ d − 1 , 3.52E−03 &#181;g ⋅ kg BW − 1 ⋅ d − 1 and 5.25E−04 &#181;g ⋅ kg BW − 1 ⋅ d − 1 for ingestion, inhalation and dermal, respectively.</p><p>For Mn in samples the estimated daily intake dose ranges are (2.8E−03 - 7.7E−08 &#181;g ⋅ kg BW − 1 ⋅ d − 1 ) and (3.0E−04 - 4.4E−08 &#181;g ⋅ kg BW − 1 ⋅ d − 1 ) for children and adults, respectively for all three pathways (<xref ref-type="table" rid="table5">Table 5</xref>). The daily intake doses predicted for both children and adults in Ebedei are below the known reference doses of 4.6E−03 &#181;g ⋅ kg BW − 1 ⋅ d − 1 , 1.43E−05 &#181;g ⋅ kg BW − 1 ⋅ d − 1 and 1.84E−03 &#181;g ⋅ kg BW − 1 ⋅ d − 1 for ingestion, inhalation and dermal, respectively. For Ni in samples the estimated daily intake dose ranges are (1.3E−04 - 3.7E−09 &#181;g ⋅ kg BW − 1 ⋅ d − 1 )</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Health risk assessment from exposures to heavy metals</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="3"  >Element</th><th align="center" valign="middle"  rowspan="3"  >RfD<sub>ing</sub></th><th align="center" valign="middle"  rowspan="3"  >RfD<sub>inh</sub></th><th align="center" valign="middle"  rowspan="3"  >RfD<sub>derm</sub></th><th align="center" valign="middle"  rowspan="3"  >Inh SF</th><th align="center" valign="middle"  colspan="3"  >DI</th><th align="center" valign="middle"  colspan="2"  >HQ</th><th align="center" valign="middle"  colspan="2"  >HI</th><th align="center" valign="middle"  rowspan="3"  >LADD</th><th align="center" valign="middle"  rowspan="3"  >CR</th></tr></thead><tr><td align="center" valign="middle"  colspan="3"  >( &#181;g ⋅ kg BW − 1 ⋅ d − 1 )</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Children</td><td align="center" valign="middle" >Adult</td><td align="center" valign="middle" >Children</td><td align="center" valign="middle" >Adult</td><td align="center" valign="middle" >Children</td><td align="center" valign="middle" >Adult</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Cd<sub>non</sub><sub>-cancer</sub></td><td align="center" valign="middle"  rowspan="3"  >1.0E−03</td><td align="center" valign="middle"  rowspan="3"  >1.0E−03</td><td align="center" valign="middle"  rowspan="3"  >5.0E−05</td><td align="center" valign="middle"  rowspan="3"  ></td><td align="center" valign="middle" >Ingestion</td><td align="center" valign="middle" >3.2E−05</td><td align="center" valign="middle" >3.4E−06</td><td align="center" valign="middle" >3.2E−02</td><td align="center" valign="middle" >3.4E−03</td><td align="center" valign="middle"  rowspan="3"  >0.034</td><td align="center" valign="middle"  rowspan="3"  >0.004</td><td align="center" valign="middle"  rowspan="3"  ></td><td align="center" valign="middle"  rowspan="3"  ></td></tr><tr><td align="center" valign="middle" >Inhalation</td><td align="center" valign="middle" >8.8E−10</td><td align="center" valign="middle" >5.0E−10</td><td align="center" valign="middle" >8.8E−07</td><td align="center" valign="middle" >5.0E−07</td></tr><tr><td align="center" valign="middle" >Dermal</td><td align="center" valign="middle" >8.8E−08</td><td align="center" valign="middle" >1.3E−08</td><td align="center" valign="middle" >1.8E−03</td><td align="center" valign="middle" >2.6E−04</td></tr><tr><td align="center" valign="middle" >Cd<sub>cancer</sub></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >6.2</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" >2.5E−10</td><td align="center" valign="middle" >1.6E−09</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Pb</td><td align="center" valign="middle"  rowspan="3"  >3.5E−03</td><td align="center" valign="middle"  rowspan="3"  >3.52E−03</td><td align="center" valign="middle"  rowspan="3"  >5.25E−04</td><td align="center" valign="middle"  rowspan="3"  ></td><td align="center" valign="middle" >Ingestion</td><td align="center" valign="middle" >6.4E−04</td><td align="center" valign="middle" >6.9E−05</td><td align="center" valign="middle" >1.8E−01</td><td align="center" valign="middle" >1.9E−02</td><td align="center" valign="middle"  rowspan="3"  >0.184</td><td align="center" valign="middle"  rowspan="3"  >0.020</td><td align="center" valign="middle"  rowspan="3"  ></td><td align="center" valign="middle"  rowspan="3"  ></td></tr><tr><td align="center" valign="middle" >Inhalation</td><td align="center" valign="middle" >1.8E−08</td><td align="center" valign="middle" >1.0E−08</td><td align="center" valign="middle" >5.1E−06</td><td align="center" valign="middle" >3.0E−06</td></tr><tr><td align="center" valign="middle" >Dermal</td><td align="center" valign="middle" >1.8E−06</td><td align="center" valign="middle" >2.7E−07</td><td align="center" valign="middle" >3.5E−03</td><td align="center" valign="middle" >5.1E−04</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Mn</td><td align="center" valign="middle"  rowspan="3"  >4.6E−02</td><td align="center" valign="middle"  rowspan="3"  >1.43E−05</td><td align="center" valign="middle"  rowspan="3"  >1.84E−03</td><td align="center" valign="middle"  rowspan="3"  ></td><td align="center" valign="middle" >Ingestion</td><td align="center" valign="middle" >2.8E−03</td><td align="center" valign="middle" >3.0E−04</td><td align="center" valign="middle" >6.1E−02</td><td align="center" valign="middle" >6.5E−03</td><td align="center" valign="middle"  rowspan="3"  >0.071</td><td align="center" valign="middle"  rowspan="3"  >0.010</td><td align="center" valign="middle"  rowspan="3"  ></td><td align="center" valign="middle"  rowspan="3"  ></td></tr><tr><td align="center" valign="middle" >Inhalation</td><td align="center" valign="middle" >7.7E−08</td><td align="center" valign="middle" >4.4E−08</td><td align="center" valign="middle" >5.4E−03</td><td align="center" valign="middle" >3.1E−03</td></tr><tr><td align="center" valign="middle" >Dermal</td><td align="center" valign="middle" >7.7E−06</td><td align="center" valign="middle" >1.2E−06</td><td align="center" valign="middle" >4.2E−03</td><td align="center" valign="middle" >6.5E−04</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Ni<sub>non</sub><sub>-cancer</sub></td><td align="center" valign="middle"  rowspan="3"  >2.0E−02</td><td align="center" valign="middle"  rowspan="3"  >2.06E−02</td><td align="center" valign="middle"  rowspan="3"  >5.4E−03</td><td align="center" valign="middle"  rowspan="3"  ></td><td align="center" valign="middle" >Ingestion</td><td align="center" valign="middle" >1.3E−04</td><td align="center" valign="middle" >1.4E−05</td><td align="center" valign="middle" >6.5E−03</td><td align="center" valign="middle" >7.0E−04</td><td align="center" valign="middle"  rowspan="3"  >0.007</td><td align="center" valign="middle"  rowspan="3"  >0.001</td><td align="center" valign="middle"  rowspan="3"  ></td><td align="center" valign="middle"  rowspan="3"  ></td></tr><tr><td align="center" valign="middle" >Inhalation</td><td align="center" valign="middle" >3.7E−09</td><td align="center" valign="middle" >2.1E−09</td><td align="center" valign="middle" >1.8E−07</td><td align="center" valign="middle" >1.0E−07</td></tr><tr><td align="center" valign="middle" >Dermal</td><td align="center" valign="middle" >3.8E−07</td><td align="center" valign="middle" >5.7E−08</td><td align="center" valign="middle" >7.0E−05</td><td align="center" valign="middle" >1.1E−05</td></tr><tr><td align="center" valign="middle" >Ni<sub>cancer</sub></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.84</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" >1.0E−09</td><td align="center" valign="middle" >8.9E−11</td></tr></tbody></table></table-wrap><p>and (1.4E−05 - 2.1E−109 &#181;g ⋅ kg BW − 1 ⋅ d − 1 ) for children and adults, respectively for all three pathways (<xref ref-type="table" rid="table5">Table 5</xref>). The daily intake doses predicted for both children and adults in Ebedei are below the known reference doses of 2.0E−02 &#181;g ⋅ kg BW − 1 ⋅ d − 1 , 2.06E−02 &#181;g ⋅ kg BW − 1 ⋅ d − 1 and 5.4E−04 &#181;g ⋅ kg BW − 1 ⋅ d − 1 for ingestion, inhalation and dermal, respectively.</p><p>Therefore exposures to the individual metals pose no significant risk of non-carcinogenic effects based on the fact that the HI values for the individual metals fell below the threshold value of 1. The higher HI values recorded for the children population in this study suggest that children are more at risk of non-carcinogenic at Ebedei following exposure to the dust in their environment. Pb indicated greater percentage of the minimal risk of non-carcinogenic effects that may be observed among the children and the adult populations, followed, by Mn and Cd, and Ni.</p><p>The assessments of the risk of carcinogenic effects were conducted for Cd and Ni, and the assessment was done for exposures through the inhalation pathway alone. The cancer risk estimated for Cd and Ni were 1.6 &#215; 10<sup>−9</sup> and 8.9 &#215; 10<sup>−11</sup>, respectively. The cumulatively risk factor, (1.7 &#215; 10<sup>-9</sup>), the estimated cancer risk values in this study are below regulatory range of 10<sup>−6</sup> - 10<sup>−4</sup>. Hence, there is a very low tendency for individuals to be at risk of any carcinogenic effect.</p></sec><sec id="s6"><title>5. Conclusion</title><p>In this study, concentration ranges of 1.2 - 14.9 mg/kg, 44.0 - 161.6 mg/kg and 221.3 - 752.0 mg/kg, and below detection to 29.8 mg/kg were recorded for Cd, Pb, Mn and Ni, respectively. Resultantly, C/PI values of 6, 1.1, 0.5 and 0.6 were recorded for Cd, Pb, Mn and Ni, respectively. The cumulative HI values indicated potential carcinogenic risks for both the children and adult populations were 0.296 and 0.035, respectively while an estimate of the possible total cancer risk for an individual living within Ebedei Waterside throughout a lifetime gave a cancer risk value of 1.7 &#215; 10<sup>−9</sup>. Although carcinogenic and non-carcinogenic risks for this study were below threshold values, there is an indication that human population from Ebedei may be exposed to elevated doses of potentially toxic metals in indoor environments.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Boisa, N. and Odagwe, B.U. (2019) Indoor Dust-Based Pollution Status and Risk Assessment for a Rural Town, Ebedei in Nigeria Hosting Gas Flare Facility. Journal of Environmental Protection, 10, 208-220. https://doi.org/10.4236/jep.2019.102012</p></sec></body><back><ref-list><title>References</title><ref id="scirp.90419-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Darus, F.M., Nasir, R.A., Sumari, S.M., Ismail, Z.S. and Omar, N.A. (2012) Heavy Metals Composition of Indoor Dust in Nursery Schools Building. Procedia-Social and Behavioral Sciences, 38, 169-175.</mixed-citation></ref><ref id="scirp.90419-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">IUPAC (1990) Glossary of Atmospheric Chemistry Terms. International Union of Pure and Applied Chemistry Division, Commission on Atmospheric Chemistry. Pure and Applied Chemistry.</mixed-citation></ref><ref id="scirp.90419-ref3"><label>3</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Walker</surname><given-names> T.R. </given-names></name>,<etal>et al</etal>. (<year>2005</year>)<article-title>Comparison of Anthropogenic Metal Deposition Rates with Excess Soil Loading from Coal, Oil and Gas Industries in the Usa River Basin, NW Russia</article-title><source> Polish Polar Research</source><volume> 26</volume>,<fpage> 299</fpage>-<lpage>314</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.90419-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Aucott, M. and Caldarelli, A. (2012) Quantity of Lead Released to the Environment in New Jersey in the Form of Motor Vehicle Wheel Weights. Water, Air, &amp; Soil Poll, 223, 1743-1752. https://doi.org/10.1007/s11270-011-0979-2</mixed-citation></ref><ref id="scirp.90419-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Rasmussen, P.E., Levesque, C., Chénier, M. and Gardner, H.D. (2018) Contribution of Metals in Resuspended Dust to Indoor and Personal Inhalation Exposures: Relationships between PM10 and Settled Dust. Building and Environment, 143, 513-522.</mixed-citation></ref><ref id="scirp.90419-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Klepeis, N.E., Nelson, W.C., Ott, W.R., Robinson, J.P., Tsang, A.M., Switzer, P., Behar, J.V., Hern, S.C. and Engelmann, W.H. (2001) The National Human Activity Pattern Survey (NHAPS): A Resource for Assessing Exposure to Environmental Pollutants. Journal of Exposure Science and Environmental Epidemiology, 11, 231-252. https://doi.org/10.1038/sj.jea.7500165</mixed-citation></ref><ref id="scirp.90419-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Nor, A.A.W., Fairus, M.D., Norain, I., Siti, M.S. and Nur, F.M.H. (2012) Heavy Metals Concentrations of Settled Surface Dust in Residential Building. The Malaysian Journal of Analytical Sciences, 16, 18-23.</mixed-citation></ref><ref id="scirp.90419-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Al-Rahji, M.A. and Seaward, M.R.D. (1996) Metal Levels in Indoor and Outdoor Dust in Riyadh, Saudi Arabia. Environment International, 22, 315-324. https://doi.org/10.1016/0160-4120(96)00017-7</mixed-citation></ref><ref id="scirp.90419-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Thatcher, T.L. and Layton, D.W. (1995) Deposition, Resuspension, and Penetration of Particles within a Residence. Atmospheric Environment, 29, 1487-1497.</mixed-citation></ref><ref id="scirp.90419-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Kurt-Karakus, P.B. (2012) Determination of Heavy Metals in Indoor Dust from Istanbul, Turkey: Estimation of the Health Risk. Environment International, 50, 47-55. https://doi.org/10.1016/j.envint.2012.09.011</mixed-citation></ref><ref id="scirp.90419-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Mielke, H.W., Gonzales, C.R., Smith, M.K. and Mielke, P.W. (1999) The Urban Environment and Children’s Health: Soils as an Integrator of Lead, Zinc, and Cadmium in New Orleans, Louisiana, U.S.A. Environmental Research, 81, 117-129. https://doi.org/10.1006/enrs.1999.3966</mixed-citation></ref><ref id="scirp.90419-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Liu, Y.Z., Ma, J.W., Yan, H.X., Ren, Y.Q., Wang, B.B., Lin, C.Y. and Liu, X.T. (2016) Bioaccessibility and Health Risk Assessment of Arsenic in Soil and Indoor Dust in Rural and Urban Areas of Hubei Province, China. Ecotoxicology and Environment Safety, 126, 14-22. https://doi.org/10.1016/j.ecoenv.2015.11.037</mixed-citation></ref><ref id="scirp.90419-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Adekola, F.A. and Dosumu, O.O. (2001) Heavy Metal Determination in Household Dusts from Ilorin City, Nigeria. Nigerian Society for Experimental Biology, 1, 217-222.</mixed-citation></ref><ref id="scirp.90419-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Molhave, L., Schneider, T., Kjaergaard, S.K., Larsen, L., Norn, S. and Jorgensen, O. (2000) House Dust in Seven Danish Offices. Atmospheric Environment, 34, 4767-4779.</mixed-citation></ref><ref id="scirp.90419-ref15"><label>15</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Sharpe</surname><given-names> M. </given-names></name>,<etal>et al</etal>. (<year>2004</year>)<article-title>Safe as Houses? Indoor Air Pollution and Health</article-title><source> Journal of Environmental Monitoring: JEM</source><volume> 6</volume>,<fpage> 46N</fpage>-<lpage>49N</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.90419-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Mitchel, C.S., Zhang, J.J., Sigsgaard, T., Jantunen, M., Lioy, P.I., Samson, R. and Karol, M.H. (2007) Current State of the Science: Health Effects and Indoor Environmental Quality. Environmental Health Perspectives, 115, 958. https://doi.org/10.1289/ehp.8987</mixed-citation></ref><ref id="scirp.90419-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Wu, F., Jacobs, D., Mitchell, C.S., Miller, D. and Karol, M.H. (2007) Improving Indoor Environmental Quality for Public Health: Impediments and Policy Recommendations. Environmental Health Perspectives, 115, 953. https://doi.org/10.1289/ehp.8986</mixed-citation></ref><ref id="scirp.90419-ref18"><label>18</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Byrne</surname><given-names> M. </given-names></name>,<etal>et al</etal>. (<year>1998</year>)<article-title>Aerosols Exposed</article-title><source> Chemistry in Britain</source><volume> 34</volume>,<fpage> 23</fpage>-<lpage>26</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.90419-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Fillol, C., Dor, F., Denys, S., Tack, K., Labat, L. and Seta, N. (2013) Arsenic Urinary Concentrations in Children Living in a Naturally Arsenic Contaminated Area. Journal of Exposure Science &amp; Environmental Epidemiology, 23, 145-150. https://doi.org/10.1038/jes.2012.72</mixed-citation></ref><ref id="scirp.90419-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Acosta, J.A., Cano, A.F., Arocena, J.M., Debela, F. and Martinez, S. (2009) Distribution of Metals in Soil Particle Size Fractions and Its Implication to Risk Assessment of Playgrounds in Murcia City (Spain). Geoderma, 149, 101-109. https://doi.org/10.1016/j.geoderma.2008.11.034</mixed-citation></ref><ref id="scirp.90419-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Anejionu, O.C., Whyatt, J.D., Blackburn, G.A. and Price, C.S. (2015) Contributions of Gas Flaring to a Global Air Pollution Hotspot: Spatial and Temporal Variations, Impacts and Alleviation. Atmospheric Environment, 118, 184-193. https://doi.org/10.1016/j.atmosenv.2015.08.006</mixed-citation></ref><ref id="scirp.90419-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Zakrzewski, S.F. (2002) Environmental Toxicology. 3rd Edition, Oxford University Press, New York.</mixed-citation></ref><ref id="scirp.90419-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Soltanieh, M., Zohrabian, A., Gholipour, M.J. and Kalnay, E. (2016) A Review of Global Gas Flaring and Venting and Impact on the Environment: Case Study of Iran. International Journal of Greenhouse Gas Control, 49, 488-509. https://doi.org/10.1016/j.ijggc.2016.02.010</mixed-citation></ref><ref id="scirp.90419-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Iwegbue, C.M.A., Nwajei, G.E., Ogala, J.E. and Overah, C.L. (2010) Determination of Trace Metal Concentrations in Soil Profiles of Municipal Waste Dumps in Nigeria. Environmental Geo-chemistry and Health, 32, 415-430. https://doi.org/10.1007/s10653-010-9285-y</mixed-citation></ref><ref id="scirp.90419-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Heinike, H.J., Eckrelman, W., Thomasson, A.J., Jones, R.J.A., Montanarella, L. and Buckley, B. (2000) European Soil Bureau. Research Report No. 4, Office for Official Publication of the European Communities, 393.</mixed-citation></ref><ref id="scirp.90419-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">DPR (2000) Environmental Guidelines and Standard for the Petroleum Industry in Nigeria. Revised Edition, Department of Petroleum Resources, Ministry of Petroleum and Mineral Resources, Abuja.</mixed-citation></ref><ref id="scirp.90419-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">US EPA (1996) EPA/540/r-95/128. Office of Soil Waste and Emergency Response, Washington DC.</mixed-citation></ref><ref id="scirp.90419-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Ferreira-Baptista, L. and De Miguel, E. (2005) Geochemistry and Risk Assessment of Street Dust in Luanda, Angola: A Tropical Urban Environment. Atmospheric Environment, 39, 4501-4512. https://doi.org/10.1016/j.atmosenv.2005.03.026</mixed-citation></ref><ref id="scirp.90419-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Van den Berg, R. (1995) RIVM Report No. 725201011. National Institute of Public Health and Environmental Protection (RIVM), Bilthoven.</mixed-citation></ref><ref id="scirp.90419-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">US EPA (2011) Regional Screening Level Table for Chemical Contaminants Ate Superfund Sites. US Environmental Protection Agency, Washington DC.</mixed-citation></ref><ref id="scirp.90419-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">US EPA (2001) EPA/600/P-95/002Fa-c. US EPA National Centre for Environment, Office of Research and Development, Washington DC.</mixed-citation></ref><ref id="scirp.90419-ref32"><label>32</label><mixed-citation publication-type="other" xlink:type="simple">US EPA (1989) EPA/se0/1-89/002. Office of Solid Waste and Emergency Response, Washington DC.</mixed-citation></ref><ref id="scirp.90419-ref33"><label>33</label><mixed-citation publication-type="other" xlink:type="simple">Ize-Iyamu, O.K. and Bernard, A.E. (2007) The Effects of Petroleum Exploration and Production Operations on the Heavy Metals Contents of Soil and Groundwater in the Niger Delta. International Journal of Physical Sciences, 2, 271-275.</mixed-citation></ref><ref id="scirp.90419-ref34"><label>34</label><mixed-citation publication-type="other" xlink:type="simple">Li, Y.W., Pi, L., Hu, W.L., Chen, M.Q., Luo, Y., Li, Z., Su, S.J., Gan, Z.W. and Ding, S.L. (2016) Concentrations and Health Risk Assessment of Metal(Loid)s in Indoor Dust from Two Typical Cities of China. Environmental Science and Pollution Research, 23, 9082-9092.</mixed-citation></ref><ref id="scirp.90419-ref35"><label>35</label><mixed-citation publication-type="other" xlink:type="simple">Lin, Y.S., Fang, F.M., Wang, F. and Xu, M.L. (2015) Pollution Distribution and Health Risk Assessment of Heavy Metals in Indoor Dust in Anhui Rural, China. Environmental Monitoring and Assessment, 187, 565. https://doi.org/10.1007/s10661-015-4763-4</mixed-citation></ref><ref id="scirp.90419-ref36"><label>36</label><mixed-citation publication-type="other" xlink:type="simple">Olujimi, O., Steiner, O. and Goessler, W. (2015) Pollution Indexing and Health Risk Assessments of Trace Elements in Indoor Dusts from Classrooms, Living Rooms and Offices in Ogun State, Nigeria. Journal of African Earth Science, 101, 396-404. https://doi.org/10.1016/j.jafrearsci.2014.10.007</mixed-citation></ref></ref-list></back></article>