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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">RJEES</journal-id>
      <journal-title-group>
        <journal-title>Research Journal of Ecology and Environmental Sciences</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2770-5536</issn>
      <issn pub-type="ppub"></issn>
      <publisher>
        <publisher-name>Science Publications</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.31586/rjees.2022.365</article-id>
      <article-id pub-id-type="publisher-id">RJEES-365</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>
          Evaluation of Simulated Petroleum Hydrocarbon on the Physicochemical Properties of Soil
        </article-title>
      </title-group>
      <contrib-group>
<contrib contrib-type="author">
<name>
<surname>Ekemube</surname>
<given-names>Raymond Alex</given-names>
</name>
<xref rid="af1" ref-type="aff">1</xref>
<xref rid="af2" ref-type="aff">2</xref>
<xref rid="cr1" ref-type="corresp">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Emeka</surname>
<given-names>Chinwendu</given-names>
</name>
<xref rid="af2" ref-type="aff">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nweke</surname>
<given-names>Bright</given-names>
</name>
<xref rid="af2" ref-type="aff">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Atta</surname>
<given-names>Adekunle Temidayo</given-names>
</name>
<xref rid="af3" ref-type="aff">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Opurum</surname>
<given-names>Amaechi Nwuzoma</given-names>
</name>
<xref rid="af2" ref-type="aff">2</xref>
</contrib>
      </contrib-group>
<aff id="af1"><label>1</label> Department of Value Addition Research, Cocoa Research Institute of Nigeria, Ibadan, Nigeria</aff>
<aff id="af2"><label>2</label> Department of Agricultural &#x00026; Environmental Engineering, Rivers State University, Port Harcourt, Nigeria</aff>
<aff id="af3"><label>3</label> Kenaf and Jute Improvement Program, Institute of Agricultural Research and Training, Obafemi Awolowo University, Moore Plantation, Ibadan, Nigeria</aff>
<author-notes>
<corresp id="c1">
<label>*</label>Corresponding author at: Department of Value Addition Research, Cocoa Research Institute of Nigeria, Ibadan, Nigeria
</corresp>
</author-notes>
      <pub-date pub-type="epub">
        <day>07</day>
        <month>12</month>
        <year>2022</year>
      </pub-date>
      <volume>2</volume>
      <issue>4</issue>
      <history>
        <date date-type="received">
          <day>07</day>
          <month>12</month>
          <year>2022</year>
        </date>
        <date date-type="rev-recd">
          <day>07</day>
          <month>12</month>
          <year>2022</year>
        </date>
        <date date-type="accepted">
          <day>07</day>
          <month>12</month>
          <year>2022</year>
        </date>
        <date date-type="pub">
          <day>07</day>
          <month>12</month>
          <year>2022</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>&#xa9; Copyright 2022 by authors and Trend Research Publishing Inc. </copyright-statement>
        <copyright-year>2022</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
          <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>
        Petroleum hydrocarbon contamination of soils has become a global concern, which is often caused by anthropogenic activities, posing serious threat to all living beings. The study for evaluation of the variability of crude oil on the physicochemical characteristics of sandy loam soil was conducted at demonstration farm, Rivers state university, Port-Harcourt, Nigeria. The Bonny light crude oil was obtained from an oil and gas production company. Uncontaminated soil was mixed with crude oil. Standard procedures were adopted for the laboratory analysis, the parameters analyzed include bulk density, total porosity, pH, available phosphorus (P), Total hydrocarbon content (THC), organic carbon, organic matter, exchangeable cation (Mg, K, Na, Ca), effective cation exchange capacity (ECEC), total exchangeable acidity (TEA), and base saturation were monitored for a period of 21 days. 10 kg of sandy loam soils were mixed with 100, 300, 500, and 700ml of crude oil while no crude oil serves as the control using plastic reactors. The reactor with 700ml of crude oil recorded the highest THC of 1734.33 mg/kg, followed by 500ml with a THC of 1601mg/kg while the control with no contamination recorded the least THC of 534.33mg/kg. However, the values of all concentrations did not meet 5000 mg/kg of Department of Petroleum Resources (2018) intervention value but exceeded the target value of 50 mg/kg. Other parameters followed same trend except porosity which decreased with increase in crude oil volume. There were significant differences at P&#x26;lt; 0.05 except for pH, available P, and base saturation. Therefore, this study calls for the utilization of its findings for adoption of remediation on crude oil contaminated soils.
      </abstract>
      <kwd-group>
        <kwd-group><kwd>Contamination; Petroleum hydrocarbon; Physicochemical characteristics; Sandy loam soil.</kwd>
</kwd-group>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
<title>Introduction</title><p>Soil is the foundation of food security, global economy, and environmental quality [
<xref ref-type="bibr" rid="R1">1</xref>]. Due to urbanization and industrialization, soils have become increasingly polluted by heavy metals and organic pollutants, which threaten ecosystems, surface and ground waters, food safety and human health [
<xref ref-type="bibr" rid="R2">2</xref>]. Hence, there is a great need to develop effective technologies for sustainable management and remediation of contaminated soils. The United Nations Food and Agriculture Organization (FAO) highlighted soil as a serious cause for concern. They stated that the current rate of soil degradation threatens the capacity to meet the needs of future generations [
<xref ref-type="bibr" rid="R3">3</xref>]. Several studies on soils contaminated with petroleum hydrocarbon in so many parts of the world including Niger Delta region of Nigeria have received so much attention [
<xref ref-type="bibr" rid="R4">4</xref>]. Pollution of agricultural soils is one of the most prevalent problems associated with the exploration and processing of petroleum hydrocarbon [
<xref ref-type="bibr" rid="R5">5</xref>]. </p>
<p>In Nigeria especially in the Niger Delta region, it has been estimated that about 0.7-1.7 million tons per year of crude oil spilled into agricultural soils, oceans, and rivers. This oil is mainly infused into the environment through accidental discharge, leakages from ruptured pipeline or flow-line, hose failure, and perhaps sabotage [
<xref ref-type="bibr" rid="R6">6</xref>,<xref ref-type="bibr" rid="R7">7</xref>]. Though crude oil is otherwise known as &#x26;#x0201c;black gold&#x26;#x0201d; because it plays a pivotal role in the mainstay of Nigerian economy in revenue generation and development of the country [
<xref ref-type="bibr" rid="R8">8</xref>]. Petroleum or crude is a complex mixture of hydrocarbons and other chemicals. The composition varies widely depending on where and how the petroleum was formed. Hydrocarbons found in crude oil are mainly of four types, namely; paraffin (15-60%), naphthene (30-60%), aromatics (3-30%), and asphaltic (remainder). The elemental composition of crude oil is carbon (83- 87%), Hydrogen (10 - 14%). Nitrogen (0.1- 2%), Oxygen (0.05-1.5%), Sulfur (0.05- 6.0%) and Metals (&lt; 0.1%), most common metals are iron, nickel, copper, and vanadium [
<xref ref-type="bibr" rid="R9">9</xref>]. </p>
<p>Petroleum hydrocarbons have immunotoxic and carcinogenic effects and alter soil physicochemical and microbiological properties, thereby posing severe harm to human health and the environment [
<xref ref-type="bibr" rid="R10">10</xref>]. This subsequently affects the growth of plants [
<xref ref-type="bibr" rid="R11">11</xref>,<xref ref-type="bibr" rid="R12">12</xref>] by retarding seed germination and reducing plant height, stem girth, photosynthetic rate, and biomass [
<xref ref-type="bibr" rid="R13">13</xref>]. The pore spaces of the contaminated soil might be clogged which reduces soil aeration, saturated hydraulic conductivity, infiltration and/or percolation of water in the soil, increased bulk density, and restrict permeability which will hinder optimum productivity of the soil [
<xref ref-type="bibr" rid="R13">13</xref>]. Eneje and Ebomotei [
<xref ref-type="bibr" rid="R14">14</xref>] stated that pollution of soils with crude oil increases soil organic carbon, bulk density and reduces soil water holding capacity, exchangeable cations, soil nitrate, and phosphorus. </p>
<p>Also, Ijah and Antai [
<xref ref-type="bibr" rid="R15">15</xref>] and Osuji and Nwoye [
<xref ref-type="bibr" rid="R16">16</xref>] observed a decrease in soil pH in crude oil-polluted soil. Oil polluted soil leads to build-up of heavy metals such as lead, zinc, Nickle, copper, manganese, cadmium, etc., in soils, and these elements are eventually translocated into plant tissues [
<xref ref-type="bibr" rid="R17">17</xref>]. Although some of the heavy metals at low concentrations are essential micronutrients to plants, at high levels, they may cause metabolic disorders and growth inhibition for most plant species [
<xref ref-type="bibr" rid="R18">18</xref>]. The interactive effects of crude oil pollution on some plant species with some of the physiochemical properties showed a significant reduction in exchangeable Calcium (Ca) in the soil that was impacted by crude oil concentration due to plant uptake and temporal immobilization of nutrients by soil microbes [
<xref ref-type="bibr" rid="R19">19</xref>]. The incessant degradation of soil resulting from petroleum hydrocarbon pollution has greatly impacted the environment, economy, and social benefits to human beings. Therefore, there is a need for this study. The aim of this study is to investigate the variability of crude oil on the physicochemical characteristics of sandy loam soil.</p>
</sec><sec id="sec2">
<title>Materials and Methods</title><title>2.1. Description of study area</title><p>The study was conducted at the crop/soil science greenhouse situated at the demonstration and research farm of Rivers State University, Port-Harcourt on a Global Positioning System coordinates with latitude of 4&#x26;#x000b0;81'N and longitude of 7&#x26;#x000b0;04'E and longitudes 6&#x26;#x000b0;55' &#x26;#x02013; 7&#x26;#x000b0;56&#x26;#x02019; N as shown inFigure <xref ref-type="fig" rid="fig1"> 1</xref>. The area experiences two distinct seasons rainy and dry seasons. The rainy season starts from April and lasts till October with a brief period of dryness which is known as August break. The rainfall is heavy with an estimated annual range which may vary from 2000 to 2680 mm [
<xref ref-type="bibr" rid="R5">5</xref>].</p>
<fig id="fig1">
<label>Figure 1</label>
<caption>
<p>Map of Rivers State Showing Rivers State University Demonstration Farm (Red Arrow points towards the experimental site situated in the University)</p>
</caption>
<graphic xlink:href="365.fig.001" />
</fig><title>2.2. Soil Sample Collection</title><p>Topsoil (0 &#x26;#x02013; 15cm) was randomly collected from three points with the use of auger, bulked to form composite samples, and kept in sterile polyethylene bags. Placed in a covered cooler with ice and transported immediately to soil science laboratory, at Rivers State University, Port Harcourt for analysis in a refrigerated cooler to arrest microbial growth.</p>
<title>2.3. Determination of Physicochemical Properties of the Soil samples </title><title>2.3.1. Particle size analysis</title><p>Particle size distribution (PSD) was analyzed using the Bouyoucoous Hydrometer method as describe by Juo [
<xref ref-type="bibr" rid="R20">20</xref>]. About 5g of sieved soil was weighed and transferred into a 250 ml beaker. The mixture was stirred and allowed to stand overnight. It was then transferred into a dispersion cup and distilled water was added to the 100 ml mark. Immediately, the hydrometer was placed into the slurry and the reading taken after 40 seconds. Blank was analyzed the same manner using 50 ml of 5% Calgon solution.</p>
<title>2.3.2. Bulk density</title><p>This was determined by using the core method, where undisturbed soil samples were collected with the use of cores. It was determined mathematically using equation 1: </p>

<disp-formula id="FD1"><div class="html-disp-formula-info"><div class="f"><math display="inline"><semantics><mrow><msub><mrow><mi mathvariant="bold-italic">ρ</mi></mrow><mrow><mi mathvariant="bold-italic">b</mi></mrow></msub><mo>=</mo><mfrac><mrow><msub><mrow><mi mathvariant="bold-italic">M</mi></mrow><mrow><mi mathvariant="bold-italic">s</mi></mrow></msub></mrow><mrow><msub><mrow><mi mathvariant="bold-italic">V</mi></mrow><mrow><mi mathvariant="bold-italic">b</mi></mrow></msub></mrow></mfrac></mrow></semantics></math></div><div class="l"><label>(1)</label></div></div></disp-formula><p>Where:</p>
<p><math> <semantics>  <mrow>   <msub>    <mi>&#x03C1;</mi>    <mi>b</mi>   </msub>   </mrow>   </semantics></math>= bulk density (g/cm<sup>3</sup>)</p>
<p>M<sub>s</sub> = Mass of oven dry soil (g)</p>
<p>V<sub>b</sub> = bulk volume of soil (cm<sup>3</sup>)</p>
<p></p>
<title>2.3.3. Porosity</title><p>The porosity was calculated using equation 2:</p>

<disp-formula id="FD2"><div class="html-disp-formula-info"><div class="f"><math display="inline"><semantics><mrow><mi>T</mi><mi>o</mi><mi>t</mi><mi>a</mi><mi>l</mi><mi mathvariant="normal"> </mi><mi>p</mi><mi>o</mi><mi>r</mi><mi>o</mi><mi>s</mi><mi>i</mi><mi>t</mi><mi>y</mi><mo>=</mo><mn>1</mn><mo>-</mo><mfenced separators="|"><mrow><mrow><mrow><mi>b</mi><mi>u</mi><mi>l</mi><mi>k</mi><mi mathvariant="normal"> </mi><mi>s</mi><mi>p</mi><mi>e</mi><mi>c</mi><mi>i</mi><mi>f</mi><mi>i</mi><mi>c</mi><mi mathvariant="normal"> </mi><mi>g</mi><mi>r</mi><mi>a</mi><mi>v</mi><mi>i</mi><mi>t</mi><mi>y</mi></mrow><mo>/</mo><mrow><mi>r</mi><mi>e</mi><mi>a</mi><mi>l</mi><mi mathvariant="normal"> </mi><mi>s</mi><mi>p</mi><mi>e</mi><mi>c</mi><mi>i</mi><mi>f</mi><mi>i</mi><mi>c</mi><mi mathvariant="normal"> </mi><mi>g</mi><mi>r</mi><mi>a</mi><mi>v</mi><mi>i</mi><mi>t</mi><mi>y</mi></mrow></mrow></mrow></mfenced><mo>×</mo><mn>100</mn></mrow></semantics></math></div><div class="l"><label>(2)</label></div></div></disp-formula><title>2.3.4. Soil pH Determination</title><p>The pH of the soil samples was determined with a glass electrode in a 1:2:5 soil water suspension [
<xref ref-type="bibr" rid="R21">21</xref>]. Soil pH was determined by mixing 10g of homogenized soil in a beaker with 25 ml of distilled water, and stirring thoroughly, the mixture was kept to stand for 30 minutes to settle. The pH meter electrode was allowed to stabilize using a buffer solution (pH 4.0 or 7.0). Then the electrode was rinsed with the soil solution and readings were taken.</p>
<title>2.3.5. Total organic carbon</title><p>Total Organic Carbon (TOC) was determined by wet combustion method of Walkley and Black [
<xref ref-type="bibr" rid="R22">22</xref>] as modified by Juo [
<xref ref-type="bibr" rid="R20">20</xref>]. This was calculated using equation 3:</p>

<disp-formula id="FD3"><div class="html-disp-formula-info"><div class="f"><math display="inline"><semantics><mrow><mi mathvariant="normal">%</mi><mi>O</mi><mi>C</mi><mo>=</mo><mrow><mrow><mi>N</mi><mfenced separators="|"><mrow><mi>T</mi><mo>-</mo><mi>b</mi></mrow></mfenced><mo>×</mo><mn>0.390</mn></mrow><mo>/</mo><mrow><mi>W</mi></mrow></mrow></mrow></semantics></math></div><div class="l"><label>(3)</label></div></div></disp-formula><p>Where: </p>
<p>N = Normality (concentration of KMn0<sub>4</sub>)</p>
<p>T- Titre value (samples)</p>
<p>N - Weight of soil used</p>
<p>B - Blank reading.</p>
<p></p>
<title>2.3.6. Organic matter</title><p>Organic matter was obtained by multiplying the organic carbon value by 1.724 (Van Bemmelen correlation factor).</p>
<title>2.3.7. Total nitrogen </title><p>This was determined by the macro-kjedahl digestion distillation method. About 1g of soil was disintegrated with concentration of H<sub>2</sub>SO<sub>4</sub>. The digest was then distilled with acid. The percentage nitrogen was calculated using equation 4.</p>

<disp-formula id="FD4"><div class="html-disp-formula-info"><div class="f"><math display="inline"><semantics><mrow><mi>N</mi><mo>=</mo><mi>T</mi><mo>×</mo><mi>M</mi><mo>×</mo><mn>1.4</mn><mo>×</mo><mn>100</mn></mrow></semantics></math></div><div class="l"><label>(4)</label></div></div></disp-formula><p>Where: </p>
<p>N = Total nitrogen (%),</p>
<p>T = Titre value, </p>
<p>M= Molarity of acid (HCl)</p>
<p></p>
<title>2.3.8. Total hydrocarbon Content</title><p>THC was estimated using the method of Odu <italic>et al</italic>. [
<xref ref-type="bibr" rid="R23">23</xref>] 10 kg of the soil was shaken with 10 ml of Toluene. The hydrocarbon was extracted and determined by the absorbance of the extract at 420nm spectro-photometer. Standard curve of absorbance of different known concentrations of equal amount of crude oil in the extractant were drawn after reading from the spectrometer.</p>
<title>2.3.9. Available phosphorus</title><p>Available Phosphorus was determined by the Bray and Kurkz No. 1 (1945) method. This was done by agitating the soil with a solution containing 0.03M NH<sub>4</sub>F and 0.25MHCl. phosphorus standards were prepared, absorbance of the samples containing the extracts were also measured using visible spectrophotometer, and concentration of P were determined from a standard curve graph.</p>
<p></p>
<p><bold>This can be calculated using</bold><bold> equation 5</bold><bold>:</bold></p>

<disp-formula id="FD5"><div class="html-disp-formula-info"><div class="f"><math display="inline"><semantics><mrow><mi>A</mi><mi>v</mi><mi>a</mi><mi>i</mi><mi>l</mi><mi>a</mi><mi>b</mi><mi>l</mi><mi>e</mi><mi mathvariant="normal"> </mi><mi>P</mi><mi>h</mi><mi>o</mi><mi>s</mi><mi>p</mi><mi>h</mi><mi>o</mi><mi>r</mi><mi>u</mi><mi>s</mi><mi mathvariant="normal"> </mi><mi>i</mi><mi>n</mi><mi mathvariant="normal"> </mi><mi>s</mi><mi>o</mi><mi>i</mi><mi>l</mi><mo>=</mo><mrow><mrow><mn>50</mn></mrow><mo>/</mo><mrow><mn>10</mn><mi>Y</mi></mrow></mrow><mo>×</mo><mrow><mrow><mi>A</mi></mrow><mo>/</mo><mrow><mi>W</mi><mi mathvariant="normal"> </mi><mo>(</mo><mi>p</mi><mi>p</mi><mi>m</mi><mo>)</mo></mrow></mrow></mrow></semantics></math></div><div class="l"><label>(5)</label></div></div></disp-formula><p>Where: </p>
<p>Y = Graph reading of samples</p>
<p>W = Weight of soil used (2.85) g</p>
<p>A = Amount of extracting solution (20).</p>
<p></p>
<title>2.3.10. Exchangeable cations (Ca, Mg, Na, and K)</title><p>Ca. Mg, Na, and K were extracted by 1N NH<sub><bold>4</bold></sub>0Ac buffered at pH 7. Ca and Mg were determined using Ethylene diamine tetra acetic acid (EDTA) titration method, while the concentration of Na and K were with the flame photometer method.</p>
<title>2.3.11. Effective Cation Exchange Capacity</title><p>This was determined using the summation of exchangeable bases and exchangeable acidity.</p>
<title>2.3.12. Base Saturation</title><p>Base saturation was computed as the sum of cations taken as percentage ratio of the ECEC.</p>
<title>2.4. Statistical Analysis</title><p>Data were statistically analyzed using data analysis tool pack of Microsoft Office Excel 2019 for Analysis of variance (ANOVA). Significance differences were evaluated at P &lt;0.05 level using the appropriate degree of freedom for each source of variability. </p>
</sec><sec id="sec3">
<title>Results</title><p>Table 1 shows the physical and chemical properties of the soil at different crude oil contamination levels. Also, Figures 2 and 3 show the graphical presentation of the physicochemical characteristics of the simulated soils with varying proportions of crude oil.Figure <xref ref-type="fig" rid="fig2"> 2</xref> and 3 illustrate the graphical representation of the physicochemical characteristics of the crude oil contaminated soils These include bulk density, total porosity, pH, available phosphorus (P), Total hydrocarbon content (THC), organic carbon, organic matter, exchangeable cation (Mg, K, Na, Ca), effective cation exchange capacity (ECEC), total exchangeable acidity (TEA), and base saturation.</p>
<p></p>
<p></p>
<table-wrap id="tab1">
<label>Table 1</label>
<caption>
<p><b> Physicochemical properties of the soil</b><b> </b><b></b><b></b><b></b></p>
</caption>
<table> <tr>  <td rowspan="2">  <p><b >Sample Parameters</b></p>  </td>  <td colspan="5">  <p><b >Reactors</b></p>  </td> </tr> <tr>  <td>  <p><b >B<sub>0</sub></b></p>  </td>  <td>  <p><b >B<sub>1</sub></b></p>  </td>  <td>  <p><b >B<sub>2</sub></b></p>  </td>  <td>  <p><b >B<sub>3</sub></b></p>  </td>  <td>  <p><b >B<sub>4</sub></b></p>  </td> </tr> <tr>  <td>  <p>Bulk Density  (g/cm<sup>3</sup>)</p>  </td>  <td>  <p>1.4</p>  </td>  <td>  <p>1.46</p>  </td>  <td>  <p>1.49</p>  </td>  <td>  <p>1.51</p>  </td>  <td>  <p>1.55</p>  </td> </tr> <tr>  <td>  <p>Total  Porosity (%)</p>  </td>  <td>  <p>47</p>  </td>  <td>  <p>45</p>  </td>  <td>  <p>43</p>  </td>  <td>  <p>42</p>  </td>  <td>  <p>39</p>  </td> </tr> <tr>  <td>  <p>Textural  Class</p>  </td>  <td>  <p>Sandy Loam</p>  </td>  <td>  <p>Sandy Loam</p>  </td>  <td>  <p>Sandy Loam</p>  </td>  <td>  <p>Sandy Loam</p>  </td>  <td>  <p>Sandy Loam</p>  </td> </tr> <tr>  <td>  <p>pH</p>  </td>  <td>  <p>5.7</p>  </td>  <td>  <p>5.8</p>  </td>  <td>  <p>6.1</p>  </td>  <td>  <p>6.4</p>  </td>  <td>  <p>6.6</p>  </td> </tr> <tr>  <td>  <p>Organic  Carbon (%)</p>  </td>  <td>  <p>1.29</p>  </td>  <td>  <p>3.04</p>  </td>  <td>  <p>3.69</p>  </td>  <td>  <p>3.77</p>  </td>  <td>  <p>3.9</p>  </td> </tr> <tr>  <td>  <p><a name="_Hlk107237067">Organic  Matter (%)</a></p>  </td>    <td>  <p>2.22</p>  </td>    <td>  <p>4.24</p>  </td>    <td>  <p>4.65</p>  </td>    <td>  <p>4.78</p>  </td>    <td>  <p>4.98</p>  </td>   </tr> <tr>  <td>  <p>Available  Phosphorus (mg/kg)</p>  </td>  <td>  <p>14</p>  </td>  <td>  <p>28.1</p>  </td>  <td>  <p>42.1</p>  </td>  <td>  <p>50</p>  </td>  <td>  <p>60</p>  </td> </tr> <tr>  <td>  <p>Total  Hydrocarbon Content (mg/kg)</p>  </td>  <td>  <p>534.33</p>  </td>  <td>  <p>867.66</p>  </td>  <td>  <p>1334.33</p>  </td>  <td>  <p>1601</p>  </td>  <td>  <p>1734.33</p>  </td> </tr> <tr>  <td>  <p>Total  Nitrogen (%)</p>  </td>  <td>  <p>0.002</p>  </td>  <td>  <p>0.003</p>  </td>  <td>  <p>0.004</p>  </td>  <td>  <p>0.006</p>  </td>  <td>  <p>0.009</p>  </td> </tr> <tr>  <td>  <p>Exchangeable  Ca (cmol/kg)</p>  </td>  <td>  <p>2.2</p>  </td>  <td>  <p>2.4</p>  </td>  <td>  <p>3.2</p>  </td>  <td>  <p>3.4</p>  </td>  <td>  <p>3.8</p>  </td> </tr> <tr>  <td>  <p>Exchangeable  Mg (cmol/kg)</p>  </td>  <td>  <p>0.006</p>  </td>  <td>  <p>0.008</p>  </td>  <td>  <p>0.009</p>  </td>  <td>  <p>0.01</p>  </td>  <td>  <p>0.013</p>  </td> </tr> <tr>  <td>  <p>Exchangeable  K (cmol/kg)</p>  </td>  <td>  <p>0.92</p>  </td>  <td>  <p>0.97</p>  </td>  <td>  <p>0.99</p>  </td>  <td>  <p>1.03</p>  </td>  <td>  <p>1.05</p>  </td> </tr> <tr>  <td>  <p>Exchangeable  Na (cmol/kg)</p>  </td>  <td>  <p>0.16</p>  </td>  <td>  <p>0.17</p>  </td>  <td>  <p>0.21</p>  </td>  <td>  <p>0.32</p>  </td>  <td>  <p>0.35</p>  </td> </tr> <tr>  <td>  <p>Total  Exchangeable Acidity (TEA)</p>  </td>  <td>  <p>3.93</p>  </td>  <td>  <p>4.31</p>  </td>  <td>  <p>4.38</p>  </td>  <td>  <p>4.47</p>  </td>  <td>  <p>4.55</p>  </td> </tr> <tr>  <td>  <p>Effective  Cation Exchangeable Capacity (ECEC)</p>  </td>  <td>  <p>0.64</p>  </td>  <td>  <p>0.67</p>  </td>  <td>  <p>0.68</p>  </td>  <td>  <p>0.71</p>  </td>  <td>  <p>0.72</p>  </td> </tr> <tr>  <td>  <p>Base  Saturation</p>  </td>  <td>  <p>83.71</p>  </td>  <td>  <p>84.7</p>  </td>  <td>  <p>86.43</p>  </td>  <td>  <p>88.5</p>  </td>  <td>  <p>91.71</p>  </td> </tr></table>
</table-wrap>
<table-wrap-foot>
<fn>
<bold>*B</bold><sub><bold>0 </bold></sub>; 0 concentration of crude oil,<sub><bold> </bold></sub><bold>B</bold><sub><bold>1</bold></sub><bold>; </bold>100 mil concentration of crude oil,<sub><bold>  </bold></sub><bold>B</bold><sub><bold>2</bold></sub><bold>;</bold><bold> </bold>300 mil concentration of crude oil,<sub><bold> </bold></sub><bold>B</bold><sub><bold>3</bold></sub><bold>; </bold>500 mil concentration of crude oil,<sub><bold> </bold></sub><bold>B</bold><sub><bold>4</bold></sub><bold>; </bold>700mil concentration of crude oil
</fn>
</table-wrap-foot><fig-group id="fig2">
<label>Figure 2</label>
<caption>
<p>a. Porosity at Different Contamination Levels (Error bar is standard error at 0.05); b. Bulk Density at Different Contamination Levels; c. pH at Different Contamination Levels; d. Organic Carbon at Different Contamination Levels; e. Available P at Different Contamination Levels; f. Organic Matter at Different Contamination Levels</p>
</caption>
<fig id="fig2a">
<label>(a)</label>
<graphic xlink:href="365.fig.002a" />
</fig>
<fig id="fig2b">
<label>(b)</label>
<graphic xlink:href="365.fig.002b" />
</fig>
<fig id="fig2c">
<label>(c)</label>
<graphic xlink:href="365.fig.002c" />
</fig>
<fig id="fig2d">
<label>(d)</label>
<graphic xlink:href="365.fig.002d" />
</fig>
<fig id="fig2e">
<label>(e)</label>
<graphic xlink:href="365.fig.002e" />
</fig>
<fig id="fig2f">
<label>(f)</label>
<graphic xlink:href="365.fig.002f" />
</fig>
</fig-group><fig-group id="fig3">
<label>Figure 3</label>
<caption>
<p>a. Total Nitrogen at Different Contamination Levels; b. Exchangeable Calcium at Different Contamination Levels; c. Exchangeable Magnesium at Different Contamination Levels; d. Exchangeable Potassium at Different Contamination Levels; e. Exchangeable Sodium at Different Contamination Levels; f. Exchangeable Acidity at Different Contamination Levels; g. ECEC at Different Contamination Levels; h. Base Saturation at Different Contamination Levels; i. THC at Different Contamination Levels</p>
</caption>
<fig id="fig3a">
<label>(a)</label>
<graphic xlink:href="365.fig.003a" />
</fig>
<fig id="fig3b">
<label>(b)</label>
<graphic xlink:href="365.fig.003b" />
</fig>
<fig id="fig3c">
<label>(c)</label>
<graphic xlink:href="365.fig.003c" />
</fig>
<fig id="fig3d">
<label>(d)</label>
<graphic xlink:href="365.fig.003d" />
</fig>
<fig id="fig3e">
<label>(e)</label>
<graphic xlink:href="365.fig.003e" />
</fig>
<fig id="fig3f">
<label>(f)</label>
<graphic xlink:href="365.fig.003f" />
</fig>
<fig id="fig3g">
<label>(g)</label>
<graphic xlink:href="365.fig.003g" />
</fig>
<fig id="fig3h">
<label>(h)</label>
<graphic xlink:href="365.fig.003h" />
</fig>
<fig id="fig3i">
<label>(i)</label>
<graphic xlink:href="365.fig.003i" />
</fig>
</fig-group></sec><sec id="sec4">
<title>Discussion</title><p>Porosity as shown inFigure <xref ref-type="fig" rid="fig2a"> 2a</xref> decreases as crude oil volume increases in the soil, which is in conformity with the findings of Eneje and Ebommotei [
<xref ref-type="bibr" rid="R14">14</xref>] who reported that population of soils with crude oil reduces soil water holding capacity. However, there were significant different at P &lt; 0.05. FromFigure <xref ref-type="fig" rid="fig2b"> 2b</xref>, it was found that the increase in crude oil volume in soil increases the bulk density of the soil. The soil bulk density increased from the least polluted soil to the highly polluted soil. This can be on the crumping nature of the soil caused by excess crude oil which is in line with the study by Eneje and Ebommotei [
<xref ref-type="bibr" rid="R14">14</xref>] stating that pollution of soils with crude oil increases soil bulk density. There was significant difference at P &lt; 0.05 using ANOVA.</p>
<p>The highest value of soil pH was recorded in the 700 ml crude oil volume (Figure 2c). pH value increases in soil as crude oil concentration increases; however, most soil organisms can survive within the range. More so, most plants can tolerate pH values of about 5.0 to 8.0 [
<xref ref-type="bibr" rid="R21">21</xref>]. Organic carbon is a major component of which it is attributed to microbial mineralization of crude oil. The organic carbon at different concentrations of crude oil in the soil increases with increase in crude oil volume. The organic carbon values at 700 ml volume showed the highest value as shown inFigure <xref ref-type="fig" rid="fig2d"> 2d</xref>. This agrees with the findings of Enije and Ebomotei [
<xref ref-type="bibr" rid="R14">14</xref>], Ijah and Anitai [
<xref ref-type="bibr" rid="R15">15</xref>], and Ogboghodo et al. [
<xref ref-type="bibr" rid="R24">24</xref>] who reported that crude oil increases in percent organic carbon. However, there was significant difference at P &lt; 0.05. Organic matter is a measure of the quality of any soil. The percentage organic matter was found to be high in 700 ml pollution level of crude oil, while the least was recorded in the control as shown inFigure <xref ref-type="fig" rid="fig2f"> 2f</xref>. The increase of soil organic matter may be due to the significant presence of crude oil in the soil which blocks pore spaces and reduces the rate of air penetration in the soil. This is similar to the report of Pareteno-Clarke and Achuba [
<xref ref-type="bibr" rid="R25">25</xref>] who stated that organic matter increases as the volume of oil increases. However, there was a significant difference at P &lt; 0.05. </p>
<p>The available phosphorus values of the petroleum oil polluted soil were shown inTable <xref ref-type="table" rid="tab1">1</xref> and presented inFigure <xref ref-type="fig" rid="fig2e"> 2e</xref>. It can be observed that the available phosphorus was relatively high among all impacted soil. However, the soil available phosphorus increases from the control level with an increase in polluted soil samples which agrees with the report of Enije and Ebomotei [
<xref ref-type="bibr" rid="R14">14</xref>], and Ogboghodo et al. [
<xref ref-type="bibr" rid="R24">24</xref>]. However, there were significant different at P &lt; 0.05. FromFigure <xref ref-type="fig" rid="fig2e"> 2e</xref>, it may be due to the fact that crude oil contained some nutrient elements such as nitrogen or could also be that crude oil initiates soil reactions that result in the Availability of soil nutrients in the polluted soil. This result is similar to the result obtained by Eneje and Ebomotei [
<xref ref-type="bibr" rid="R14">14</xref>], and Udo [
<xref ref-type="bibr" rid="R26">26</xref>] in crude oil polluted soils (P &lt; 0.05). </p>
<p>The exchangeable calcium was found to be the pollution level of 700 ml crude as illustrated inTable <xref ref-type="table" rid="tab1">1</xref> andFigure <xref ref-type="fig" rid="fig3b"> 3b</xref>. Exchangeable Calcium has been increasing in soil on the basis that crude oil releases metals to soil environment. The variation in soil exchangeable calcium may be due to the presence of crude oil, which is in line with the findings of Shukry et al. [
<xref ref-type="bibr" rid="R19">19</xref>] who reported decrease in Exchangeable calcium in crude oil polluted soils but also support the findings of Eneje and Ebomotei [
<xref ref-type="bibr" rid="R14">14</xref>] who observed increase in Exchangeable calcium in polluted soils (P &lt; 0.05). The values of exchangeable magnesium are shown inTable <xref ref-type="table" rid="tab1">1</xref>. This increased with an increase in the volume of simulated crude oil in the soil (Figure 3c). The exchangeable Mg increased in the soil on the basis that crude oil releases metals to soil environment. Also, soil magnesium in the polluted and unpolluted soil samples may be attributed to leaching losses in the soil, which is in line with the findings of Eneje and Ebomotei [
<xref ref-type="bibr" rid="R14">14</xref>] who reported a reduction in Exchangeable bases as a result of crude oil in the soil. In addition, ANOVA results showed that P &lt; 0.05. The values of Exchangeable Potassium at various concentrations are displayed inTable <xref ref-type="table" rid="tab1">1</xref>. Also, the results indicated that the potassium was high at 700 ml crude oil concentration (Figure 3d). There were significant different at P &lt; 0.05. Generally, the values of Exchangeable Na were low. The values of Exchangeable sodium obtained from various samples as shown inTable <xref ref-type="table" rid="tab1">1</xref>. Exchangeable Na was found to increase with increase in pollution level of crude oil. The increase of Na in crude oil-contaminated soil releases metals to soil environment (Figure 3e). Also, the values obtained as shown inTable <xref ref-type="table" rid="tab1">1</xref> revealed that the variation was due to the presence of crude oil., this study agrees with the findings of FAO [
<xref ref-type="bibr" rid="R27">27</xref>] who reported decrease in Sodium content of the soil (P &lt; 0.05).</p>
<p>The results indicated that the TEA increases with the volume of crude oil simulated into the soil. However, the values did not exceed the optimum level suitable for plant growth as reported by FAO [
<xref ref-type="bibr" rid="R27">27</xref>]. The ANOVA results revealed that there were significant different at P &lt; 0.05. The ECEC values at treatment samples showed the highest value at treatment 700 ml (Figure 3f). This reveals that the 300ml concentration had the highest number of ECEC (Figure 3g), the values were below critical values for optimum crop production as stated by FAO [
<xref ref-type="bibr" rid="R27">27</xref>]. However, P &lt; 0.05. The base saturation concentration in the soil showed the highest value at 700 ml concentration (Figure 3h). This revealed that 700 ml volume had the highest number of base saturations. From the result obtained, the values are higher than 50% recommended as being lower limit of base Saturation for crop production as reported by Udo et al. [
<xref ref-type="bibr" rid="R28">28</xref>] However, there was no significant difference at P &lt; 0.05.</p>
<p>From the results, it can be observed that the control which is zero 0 ml recorded the lowest THC of and the highest by 700 ml volume of crude oil. It can be observed that the increase in crude oil volume increases with THC (3i). The values of all concentration did not meet 5000 mg/kg of DPR [
<xref ref-type="bibr" rid="R29">29</xref>] intervention value but exceeded the target value of 50 mg/kg. However, this is unfavorable to soil organisms, this report is in line with Eneje and Ebomotei [
<xref ref-type="bibr" rid="R14">14</xref>] who observed that the higher the pollution, the more destructive it is to plants (P &lt; 0.05).</p>
</sec><sec id="sec5">
<title>Conclusions</title><p>This study investigated the effect of simulated petroleum hydrocarbon on the physicochemical characteristics of sandy loam soil. The study revealed that bulk density, total porosity, pH, available P, THC, organic matter, % organic carbon, Total Nitrogen, exchangeable Ca, Na, P, mg, ECEC, TEA, and base saturation were affected due to different volume of crude oil. In addition, all the characteristics studied including bulk density, pH, available P, THC, organic matter, % organic carbon, total Nitrogen, exchangeable cation (Ca, Na, P, Mg), ECEC, TEA, and base saturation increased with increase in volume of crude oil except porosity. Conclusively, crude oil alters the physicochemical characteristics of the soil. Hence the more crude oil in the soil the more physicochemical characteristics of soil change thereby causing imbalance in soil nature. Therefore, the study suggest that remediation should be adopted to regain the originality of the soil.</p>
<p></p>
<p><bold>Author Contributions:</bold> For research articles with several authors, a short paragraph specifying their contributions must be provided. The following statements should be used &#x26;#x0201c;Conceptualization, R.A.E. methodology, R.A.E. and A.T.A.; formal analysis, C.E.; investigation, B.N.; resources, A.N.O.; data curation, C.E.; writing&#x26;#x02014;original draft preparation, R.A.E.; writing&#x26;#x02014;review and editing, A.T.A, A.N.O, B.N.</p>
<p><bold>Funding:</bold> Please add: &#x26;#x0201c;This research received no external funding&#x26;#x0201d;</p>
<p><bold>Conflicts of Interest:</bold> Declare conflicts of interest or state &#x26;#x0201c;The authors declare no conflict of interest.&#x26;#x0201d; </p>
</sec>
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