<?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">NS</journal-id><journal-title-group><journal-title>Natural Science</journal-title></journal-title-group><issn pub-type="epub">2150-4091</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ns.2015.74022</article-id><article-id pub-id-type="publisher-id">NS-55706</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Chemistry&amp;Materials Science</subject><subject> Earth&amp;Environmental Sciences</subject><subject> Medicine&amp;Healthcare</subject><subject> Physics&amp;Mathematics</subject></subj-group></article-categories><title-group><article-title>
 
 
  Estimation of Annual Effective Dose Due to Ingestion of Natural Radionuclides in Cattle in Tin Mining Areas of Jos Plateau, Nigeria: Are Large Mammals Really Affected?
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>.</surname><given-names>S. Aliyu</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>T.</surname><given-names>A. Mousseau</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>N.</surname><given-names>N. Garba</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>H.</surname><given-names>T. Abba</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>A.</surname><given-names>T. Ramli</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Department of Physics, Ahmadu University Zaria, Nigeria</addr-line></aff><aff id="aff5"><addr-line>Department of Physics, Universiti Teknologi Malaysia, Johor, Malaysia</addr-line></aff><aff id="aff2"><addr-line>Department of Biological Sciences University of South Carolina, Columbia, SC, USA</addr-line></aff><aff id="aff4"><addr-line>Department of Physics, Yobe State University Damaturu, Damaturu, Nigeria</addr-line></aff><aff id="aff1"><addr-line>Department of Physics, Nasarawa State University Keffi, Nigeria</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>saabubakar2@live.utm.my(.SA)</email>;<email>sadiqulkafawi4real@yahoo.co.uk(TAM)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>31</day><month>03</month><year>2015</year></pub-date><volume>07</volume><issue>04</issue><fpage>190</fpage><lpage>196</lpage><history><date date-type="received"><day>7</day>	<month>March</month>	<year>2015</year></date><date date-type="rev-recd"><day>accepted</day>	<month>14</month>	<year>April</year>	</date><date date-type="accepted"><day>15</day>	<month>April</month>	<year>2015</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>
 
 
  We have read with great interest the paper which was published in Natural Science, 2014 issue number 6 titled “Estimation of annual effective dose due to ingestion of natural radionuclides in cattle in tin mining area of Jos Plateau, Nigeria” [1]. The paper motivated us to use state-of-the-art computational technique to investigate the risks of the tin mining activity in Jos-Plateau, Nigeria on large mammals (e.g. cattle). The Tier 2 Erica Tool assessment was used to estimate the total dose rate and risk quotients of these reference terrestrial animals. Our investigation revealed that the expected and conservative risk quotients of large mammals due to internal and external exposure to enhanced level of radioactivity are 0.05 and 0.16, respectively. Since the risk quotients are less than unity, this indicates that there is less than 5% probability that the screen dose rate (10 μGy
  &amp;bull;h
  <sup>–1</sup>) is exceeded. The estimated total dose rate to large mammals is 0.52 μGy
  &amp;bull;h
  <sup>–1</sup> which is not statistically significant. A critical analysis of [1] is presented in the introductory part of this paper.
 
</p></abstract><kwd-group><kwd>Tin Mining</kwd><kwd> Radioecology</kwd><kwd> Biota</kwd><kwd> Jos</kwd><kwd> Dose Rate</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The tin mining activities in the suburbs of Jos, Plateau State, Nigeria have resulted in technical enhancement of the background natural radiation as well as higher activity concentrations of primordial radionuclides in the topsoil of mining sites and their environs. In Jos, Nigeria, attempts have been made towards assessing the radiological consequence of mining in several localities [<xref ref-type="bibr" rid="scirp.55706-ref2">2</xref>] - [<xref ref-type="bibr" rid="scirp.55706-ref13">13</xref>] . A summary of the type of samples and results of each of these studies is presented in <xref ref-type="table" rid="table1">Table 1</xref>. Most of the studies on radiological effects of tin mining in Jos, Nigeria have only considered the human health risks.</p><p>A recent study by Ademola [<xref ref-type="bibr" rid="scirp.55706-ref1">1</xref>] attempted to measure the activity concentrations of <sup>226</sup>Ra, <sup>232</sup>Th, and <sup>40</sup>K in cattle that were believed to have grazed in the fields around the mining region. The study calculated the effective dose based on the consumption of meat from the cattle in this region. The study reported high activity concentration of <sup>40</sup>K in the studied cattle organs. However, there are some deficiencies of the study design and presentation that raise questions concerning the validity of the findings. Although the paper is very well written and deserves to be recognized as a remarkable contribution to the field of natural radiation studies in Nigeria, it has some shortcomings. These shortcomings are highlighted and discussed below.</p><p>We have been following studies from this region with technically enhanced background radiation level due to tin mining activities in the suburbs of Jos Plateau State, Nigeria [<xref ref-type="bibr" rid="scirp.55706-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.55706-ref5">5</xref>] -[<xref ref-type="bibr" rid="scirp.55706-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.55706-ref13">13</xref>] . The findings of some of these studies have been presented in one of our most recent papers [<xref ref-type="bibr" rid="scirp.55706-ref15">15</xref>] and <xref ref-type="table" rid="table1">Table 1</xref>.</p><p>Ademola [<xref ref-type="bibr" rid="scirp.55706-ref1">1</xref>] should have designed a good epidemiological study and the discussions of the results should have been strengthened with robust statistics. The author presented the activity concentrations of primordial radionuclides in the organs of cattle without justifying the results. The study considered just five cattle that were slaughtered in a local abattoir believing the animals had grazed in fields and farmlands that have technically enhanced levels of radioactivity due to mining activities in the region. This is misleading because of the nomadic life style of herdsmen in Nigeria and West Africa. Herdsmen regularly move their cattle to different parts of Nigeria, and in some cases even West Africa, depending on the season’s climatic conditions in order to find green fields for their animals [<xref ref-type="bibr" rid="scirp.55706-ref16">16</xref>] . This factor could have resulted in confounding issues that would have biased the results of the study. In a recent study, we have discussed confounding issues in radioecology of the world’s high background natural radiation areas [<xref ref-type="bibr" rid="scirp.55706-ref17">17</xref>] .</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Summary of activity concentrations in soil and dose due to tin mining in Jos Nigeria [<xref ref-type="bibr" rid="scirp.55706-ref14">14</xref>] </title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle"  colspan="4"  >Activity concentrations of radionuclides (Bq∙kg<sup>−1</sup>)</th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >Study</td><td align="center" valign="middle" ><sup>238</sup>U</td><td align="center" valign="middle" ><sup>226</sup>Ra</td><td align="center" valign="middle" ><sup>232</sup>Th</td><td align="center" valign="middle" ><sup>40</sup>K</td><td align="center" valign="middle" >In situ dose measurements (&#181;Sv∙h<sup>−1</sup>)</td><td align="center" valign="middle" >Mine Location</td><td align="center" valign="middle" >Type of sample</td></tr><tr><td align="center" valign="middle" >Ibeanu [<xref ref-type="bibr" rid="scirp.55706-ref5">5</xref>]</td><td align="center" valign="middle" >3779.1</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >8175.2<sup> </sup></td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >Jos tin Mine</td><td align="center" valign="middle" >Contaminated soil</td></tr><tr><td align="center" valign="middle" >Ademola [<xref ref-type="bibr" rid="scirp.55706-ref12">12</xref>]</td><td align="center" valign="middle" >722<sup> </sup></td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >1680</td><td align="center" valign="middle" >Not detected</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >Jos tin Mine</td><td align="center" valign="middle" >Tin tailing</td></tr><tr><td align="center" valign="middle" >Ademola, Farai [<xref ref-type="bibr" rid="scirp.55706-ref13">13</xref>]</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >66</td><td align="center" valign="middle" >126</td><td align="center" valign="middle" >589</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >Tin mining areas of Bukuru and Bitsichi, Jos</td><td align="center" valign="middle" >Concrete building blocks</td></tr><tr><td align="center" valign="middle" >Ajayi [<xref ref-type="bibr" rid="scirp.55706-ref2">2</xref>]</td><td align="center" valign="middle" >776.0</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >2.72</td><td align="center" valign="middle" >35.4</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >Soil samples</td><td align="center" valign="middle" >Tin mine in Baukuru-Jos</td></tr><tr><td align="center" valign="middle" >Arogunjo et al. [<xref ref-type="bibr" rid="scirp.55706-ref3">3</xref>]</td><td align="center" valign="middle" >(8.7 - 51)</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >(16.8 - 98)</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >Tin mining area of Bitsichi, Jos</td><td align="center" valign="middle" >Soil and mineral sands</td></tr><tr><td align="center" valign="middle" >Funtua, Elegba [<xref ref-type="bibr" rid="scirp.55706-ref4">4</xref>]</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >(5 - 80)</td><td align="center" valign="middle" >Tin mines, Bukuru</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle" >Jibiri et al. [<xref ref-type="bibr" rid="scirp.55706-ref6">6</xref>]</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >(109 - 163)</td><td align="center" valign="middle" >(147 - 451)</td><td align="center" valign="middle" >(466 - 1062)</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >Bitsichi, Bukuru and Ropp localities, Jos</td><td align="center" valign="middle" >Farm soil from the three localities</td></tr><tr><td align="center" valign="middle" >Jibiri et al. [<xref ref-type="bibr" rid="scirp.55706-ref7">7</xref>]</td><td align="center" valign="middle" >(BDL-48)</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >(BDL-17)</td><td align="center" valign="middle" >(60 - 494)</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >Old tin mine of Bitsichi</td><td align="center" valign="middle" >Food items, soil and local diets</td></tr><tr><td align="center" valign="middle" >Jibiri, Agomuo [<xref ref-type="bibr" rid="scirp.55706-ref8">8</xref>]</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >(19 - 30)</td><td align="center" valign="middle" >(27 - 41)</td><td align="center" valign="middle" >(83 - 129)</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >Old tin mine of Bitsichi</td><td align="center" valign="middle" >Terrestrial food crops</td></tr><tr><td align="center" valign="middle" >Jibiri et al. [<xref ref-type="bibr" rid="scirp.55706-ref9">9</xref>]</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >(109 - 470.6)</td><td align="center" valign="middle" >(122.7 - 2189.5)</td><td align="center" valign="middle" >BDL-166.4</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >Old tin mine of Bitsichi</td><td align="center" valign="middle" >Soil</td></tr><tr><td align="center" valign="middle" >Olise et al. [<xref ref-type="bibr" rid="scirp.55706-ref10">10</xref>]</td><td align="center" valign="middle" >(1.0 &#177; 40)</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >(6.0 - 170)</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >Bukuru, Bitsichi and Kuru</td><td align="center" valign="middle" >Soil and tailing</td></tr><tr><td align="center" valign="middle" >Olise et al. [<xref ref-type="bibr" rid="scirp.55706-ref11">11</xref>]</td><td align="center" valign="middle" >BDL-27420</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >(50 - 35,800)</td><td align="center" valign="middle" >(30 - 670)</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >Bitsichi, Kuru and Bukuru</td><td align="center" valign="middle" >Tailing</td></tr></tbody></table></table-wrap><p>Another issue is the very small sample size and the inability of the author to include proper controls. The author should have also considered cattle that were from non-mining areas of Jos. This would have helped the author in justifying the assumption that the dumping of mine tailings and the dispersion of excavated soil with enhanced radioactivity to some locations around the mining field would have influenced the activity concentrations in cattle from mining areas.</p><p>Another crucial factor that was overlooked by Ademola [<xref ref-type="bibr" rid="scirp.55706-ref1">1</xref>] was the age of the animals. This would provide insight as to whether the older animals had accumulated more radionuclides than the younger ones. This is hypothetically justifiable as older animals should have grazed on these “contaminated” fields the most. The author’s failure to compare her results with earlier studies that were conducted in the study area is also a major limitation. For instance, [<xref ref-type="bibr" rid="scirp.55706-ref8">8</xref>] , [<xref ref-type="bibr" rid="scirp.55706-ref7">7</xref>] and [<xref ref-type="bibr" rid="scirp.55706-ref9">9</xref>] have presented data on the activity concentrations of natural radionuclides in food samples from the same area.</p><p>Ademola [<xref ref-type="bibr" rid="scirp.55706-ref1">1</xref>] could have been enhanced if the author had considered if there was a relationship between radionuclide concentrations in the blood and any of the organs of interest. This is because <sup>226</sup>Ra is soluble in water and highly mobilizable [<xref ref-type="bibr" rid="scirp.55706-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.55706-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.55706-ref19">19</xref>] . This study could have also considered the radioecology of the studied animals which is also known to have important consequences for radionuclide uptake and deposition. For example, a simple run of the ERICA Tool [<xref ref-type="bibr" rid="scirp.55706-ref20">20</xref>] - [<xref ref-type="bibr" rid="scirp.55706-ref22">22</xref>] , a state-of-the-art-software for assessing the impacts of exposure to ionizing radiation on non-human biota should have addressed this. Some of the contributing authors of this Letter have used ERICA for preliminary impact assessments of the Fukushima nuclear accident on non-human biota [<xref ref-type="bibr" rid="scirp.55706-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.55706-ref24">24</xref>] and for environmental impact assessments of the new nuclear power plant in Nigeria [<xref ref-type="bibr" rid="scirp.55706-ref25">25</xref>] -[<xref ref-type="bibr" rid="scirp.55706-ref27">27</xref>] .</p><p>It is our opinion that given the small sample size, the lack of controls, and an incomplete radioecological analysis, the suggestion that mine tailings are the underlying cause of higher activity concentration of <sup>40</sup>K cannot be justified. In Nigeria, cattle graze on harvested fields and on byproducts of farming that are not needed by the peasant farmers for food. The application of inorganic fertilizer which is made of elements like NPK (Nitrogen, phosphorus, potassium) will influence the activity concentration of <sup>40</sup>K in the cattle feeds and hence their organs. The radioactivity of NPK fertilizer is well documented in the literature [<xref ref-type="bibr" rid="scirp.55706-ref28">28</xref>] - [<xref ref-type="bibr" rid="scirp.55706-ref30">30</xref>] and this is likely the cause of the reported findings. We understand that some of the highlighted deficiencies could be attributed to lack of funding but we hope the author will take some of our comments into consideration in any future study.</p><p>Several studies have considered the radiological human health risks of the mining activity; however, to our knowledge no documented study has investigated the radiological impacts on biota. Hence, an attempt is made to cover this information gap using published data from the literature and the ERICA Tool. Such a study is both timely and relevant given the growing international interest in the biological impacts of low dose radiation in the environment.</p></sec><sec id="s2"><title>2. Material and Methods</title><p>Published data on the activity concentration of 238U, and 232Th in soil and tailings from Bukuru, Kuru and Bitsichi were used to conduct a Tier 2 ERICA Tool impact assessment to estimate the dose rate and risk quotients for the reference terrestrial species. The universal screening dose rate criterion of 10 μGy∙h<sup>−1</sup> was used for the assessment procedure. Such a level is often assumed to result in negligible environmental risks [<xref ref-type="bibr" rid="scirp.55706-ref31">31</xref>] . This methodology has proven useful for the assessment of impacts to biota due to exposure to Fukushima-derived radionuclides in marine, freshwater and terrestrial ecosystems [<xref ref-type="bibr" rid="scirp.55706-ref32">32</xref>] [<xref ref-type="bibr" rid="scirp.55706-ref33">33</xref>] . In order to follow regulatory standards, the upper bound of the reported range value for 238U and 232Th that have been reported by Ibeanu [<xref ref-type="bibr" rid="scirp.55706-ref5">5</xref>] were used as these two studies considered all mining areas (<xref ref-type="table" rid="table1">Table 1</xref>).</p>Brief Description of ERICA Tool<p>There are three elements of the ERICA integrated approach, which are to aid decision-making related to the environmental effects of ionizing radiation; the elements have been combined into the ERICA Integrated Approach. These are assessment of environmental exposure and effects using the ERICA Tool, risk characterization, and management of environmental risks [<xref ref-type="bibr" rid="scirp.55706-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.55706-ref34">34</xref>] .</p><p>Tier 1: is designed to be simple and conservative, requiring a minimum of input data and enabling the user to exit the process and exempt the situation from further evaluation, provided the assessment meets a predefined screening criterion. Here the predefined screening dose is used to calculate the environmental media concentration limit (EMCL) for all reference organism/radionuclide combinations.</p><p>In Tier 1, the risk quotient (RQ) is then obtained by comparing the input media concentrations with the most restrictive EMCL for each radionuclide. These are defined by Equation (1).</p><disp-formula id="scirp.55706-formula433"><label>(1)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/4-8302557x5.png"  xlink:type="simple"/></disp-formula><p>where, AC is the measured activity concentration in the medium for a specific radionuclide n.</p><p>If<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x6.png" xlink:type="simple"/></inline-formula>, then the probability of exceeding the benchmark is acceptably low (&lt;5%) and this serves as the justification for terminating risk calculations at this stage. In a situation where<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x7.png" xlink:type="simple"/></inline-formula>, there is &gt;5% probability that the benchmark has been exceeded and further assessment is recommended (Tier 2).</p><p>The basic equations for Tier 2 assessment are presented in Equations (2) and (3).</p><disp-formula id="scirp.55706-formula434"><label>(2)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/4-8302557x8.png"  xlink:type="simple"/></disp-formula><p>where <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x9.png" xlink:type="simple"/></inline-formula> is the average concentration radionuclide <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x10.png" xlink:type="simple"/></inline-formula> in the reference organism <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x11.png" xlink:type="simple"/></inline-formula> (Bq∙Kg<sup>−1</sup> fresh weight); <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x12.png" xlink:type="simple"/></inline-formula>is the radionuclide specific dose conversion coefficient for internal exposure (&#181;G∙h<sup>−1</sup> per Bq∙Kg<sup>−1</sup> fresh weight).</p><disp-formula id="scirp.55706-formula435"><label>(3)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/4-8302557x13.png"  xlink:type="simple"/></disp-formula><p>where <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x14.png" xlink:type="simple"/></inline-formula> is the occupancy factor of the organism <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x15.png" xlink:type="simple"/></inline-formula> at location<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x16.png" xlink:type="simple"/></inline-formula>; <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x17.png" xlink:type="simple"/></inline-formula>is the average concentration of radionuclide <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x18.png" xlink:type="simple"/></inline-formula> in the reference media in a given location<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x19.png" xlink:type="simple"/></inline-formula>, and <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x19.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x20.png" xlink:type="simple"/></inline-formula> is dose conversion coefficient for external exposure. The total dose rate <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x19.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x20.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x21.png" xlink:type="simple"/></inline-formula> is assessed by summing the two Equations (1) and (2). Two <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x19.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x20.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x21.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x22.png" xlink:type="simple"/></inline-formula> (Expected <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x19.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x20.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x21.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x22.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x23.png" xlink:type="simple"/></inline-formula> and Conservative<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x19.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x20.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x21.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x22.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x23.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x24.png" xlink:type="simple"/></inline-formula>) are obtained at the end of this assessment.</p><p>Tier 2: This allows the modeler to be more interactive, to change the default parameters (screening dose rate and radionuclides) and to select specific reference organisms. The evaluation is performed directly against the screening dose rate, with the dose rate and RQ<sub>s</sub> generated for each reference organism selected for assessment. A “traffic light” system is used to indicate whether the situation can be considered:</p><p>1) Green: of negligible concern (with a high degree of confidence);</p><p>2) Yellow: of potential concern, where more qualified judgments may need to be made and/or a refined assessment at Tier 2 or an in-depth assessment in Tier 3 performed; and</p><p>3) Red: of concern, where the user is recommended to continue the assessment, either at Tier 2 if refined input data can be obtained, or at Tier 3.</p><p>Decisions to exit an assessment given outcomes 2) and 3) should be justified, for example by using information from FREDERICA provided in the Tool as “look-up effects tables” for different wildlife groups.</p><p>In Tier 2, the total risk quotient is calculated as</p><disp-formula id="scirp.55706-formula436"><label>(4)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/4-8302557x25.png"  xlink:type="simple"/></disp-formula><p>where <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x26.png" xlink:type="simple"/></inline-formula> is the total dose rate and <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x26.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/4-8302557x27.png" xlink:type="simple"/></inline-formula> is the screening dose rate.</p><p>Tier 3 is a probabilistic risk assessment in which uncertainties within the results may be determined using sensitivity analysis. The assessor can also access up-to-date scientific literature (which may not be available at Tier 2) on the biological effects of exposure to ionizing radiation in a number of different species.</p><p>Detailed descriptions of the ERICA tool and the integrated approach for ecological impact assessment have previously been presented in the literature [<xref ref-type="bibr" rid="scirp.55706-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.55706-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.55706-ref32">32</xref>] [<xref ref-type="bibr" rid="scirp.55706-ref34">34</xref>] - [<xref ref-type="bibr" rid="scirp.55706-ref36">36</xref>] .</p></sec><sec id="s3"><title>3. Results and Conclusions</title><p>The results of the Tier 2 ERICA Tool run based on the data reported by Ibeanu [<xref ref-type="bibr" rid="scirp.55706-ref5">5</xref>] are presented in <xref ref-type="fig" rid="fig1">Figure 1</xref>. The models show very large variation among different groups in the predicted dose rates. The graph (<xref ref-type="fig" rid="fig1">Figure 1</xref>) indicates two threshold dose rate levels of interest. The first is the 10 &#181;Gy∙h<sup>−1</sup> level that is considered of interest by those promoting the ERICA tool (e.g. Beresford, etc.); the ERICA universal dose rate is assumed for all ecosys-</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Total dose rate to reference terrestrial organisms due to tin mining</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/4-8302557x28.png"/></fig><p>tems. The second is 40 &#181;Gy∙h<sup>−1</sup> which is felt by IAEA [<xref ref-type="bibr" rid="scirp.55706-ref37">37</xref>] , UNSCEAR [<xref ref-type="bibr" rid="scirp.55706-ref38">38</xref>] , and USDoE [<xref ref-type="bibr" rid="scirp.55706-ref39">39</xref>] to be of significance for terrestrial animals. It has been previously suggested that below this value of chronic exposure to radiation, measurable population effects will occur. It is worth noting that there is ongoing discussion on this threshold value, given controversial studies of organisms living in the forests of Chernobyl [<xref ref-type="bibr" rid="scirp.55706-ref40">40</xref>] [<xref ref-type="bibr" rid="scirp.55706-ref41">41</xref>] .</p><p>The expected and conservative risk quotients for large mammals due to internal and external exposure to enhanced level of radioactivity are 0.05 and 0.16, respectively. Since all risk quotients are less than unity, this indicates that there is less than 5% probability that the screen dose rate of 10 &#181;Gy∙h<sup>−1</sup> is exceeded. The organisms that receive the maximum total dose are mollusc-gastropod and annelid (earth worm). There is need to further investigate the impacts of chronic exposure to low-dose rate ionizing radiation using field data by directly observing any physiological or morphological aberrations in the specific organism and comparing the data with that of controls. The dose rate to our animal of interest, large mammal is relatively low (0.52 &#181;Gy∙h<sup>−1</sup>) and the risk quotients are less than unity indicating that large mammals (cattle) are not at risk.</p><p>This paper assessed the potential radioecological impacts of tin mining in Jos, Nigeria, with the aim of investigating if large mammals are affected by the enhanced levels of radioactivity in the soil, which is due to tin mining and milling. The results of this study have shown that terrestrial organisms like mollusc-gastropod and annelid (earth worm) receive the maximum estimated dose rate of 4.7 &#181;Gy∙h<sup>−1</sup>. While the estimated dose rate for large mammal is far less than the universal screening dose rate of 10 &#181;Gy∙h<sup>−1</sup>, which suggests that the animals are not likely at risk.</p></sec><sec id="s4"><title>Acknowledgements</title><p>Dr. A.S. Aliyu would like to acknowledge the support of the Research Management Center of Universiti Teknologi Malaysia for its support through the Post-Doc fellowship scheme under the grant (Q.J130000.21A2.01E98).</p></sec></body><back><ref-list><title>References</title><ref id="scirp.55706-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Ademola, J.A. (2014) Estimation of Annual Effective Dose Due to Ingestion of Natural Radionuclides in Cattle in Tin Mining Area of Jos Plateau, Nigeria. Natural Science, 6, 255-261.  
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