<?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>
   <issn publication-format="print">
    2152-2219
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/jep.2024.159053
   </article-id>
   <article-id pub-id-type="publisher-id">
    jep-136079
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Earth 
     </subject>
     <subject>
       Environmental Sciences
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    Non-Destructive Detection and Evaluation of Heavy Metal Pollution in Tailings Reservoir
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Zhonghua
      </surname>
      <given-names>
       Qi
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Jianhua
      </surname>
      <given-names>
       Hu
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Jiwei
      </surname>
      <given-names>
       Zhang
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aShandong Hualian Mining Co., Ltd, Yiyuan, China
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aZijin School of Geology and Mining, Fuzhou University, Fuzhou, China
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     14
    </day> 
    <month>
     09
    </month>
    <year>
     2024
    </year>
   </pub-date> 
   <volume>
    15
   </volume> 
   <issue>
    09
   </issue>
   <fpage>
    921
   </fpage>
   <lpage>
    933
   </lpage>
   <history>
    <date date-type="received">
     <day>
      31,
     </day>
     <month>
      August
     </month>
     <year>
      2024
     </year>
    </date>
    <date date-type="published">
     <day>
      17,
     </day>
     <month>
      August
     </month>
     <year>
      2024
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      17,
     </day>
     <month>
      September
     </month>
     <year>
      2024
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © 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>
    Heavy metal pollution is a negative effect generated in the process of utilizing non-ferrous mineral. Studies about heavy metal migration detection are very important. A new method for rapid detection of heavy metal migration based on ground penetrating radar (GPR) was provided. Comparative tests were studied from field to lab with GPR and X-ray fluorescence analysis (XRF). A tailings reservoir in the Xiangjiang River basin at Hunan Province was taken as experimental site. The downward transfer rule of heavy metal migration was confirmed through tests on systematically arranged survey lines and sampling points in tailings site. Results showed: 1) Through GPR image recognition, tailings reservoir had 3 layers. Reclaimed soil layer (the first layer) and tailings layer (the second layer) had a clear interface. However, tailings layer (the second layer) and subsoil layer (the third layer) had an obscure interface on radar images. It was concluded that heavy metal component had migrated downwards. 2) Chemical component analysis verified image recognition conclusions. Concentrations of As, Cd and Pb were significantly out of limit, while concentration of Cr was under limit according to analysis results on samples from different depths. 3) Pollution degree was evaluated. Downward migration was the main form of heavy metal migration in tailings site, upward migration occurred through adsorption at the same time.
   </abstract>
   <kwd-group> 
    <kwd>
     Tailings Site
    </kwd> 
    <kwd>
      Heavy Metal Migration
    </kwd> 
    <kwd>
      Comparative Tests
    </kwd> 
    <kwd>
      Ground Penetrating Rada
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>Metal element which has specific gravity over 5 is generally called as heavy metal. Heavy metal pollution is defined as environmental problems caused by heavy metals and heavy metal compounds. It is mainly generated from man-made factors, such as extraction of minerals, irrigation with industrial waste water, discharge of waste gas and so on. In the field of heavy metal pollution research, it is mainly focused on heavy metals of strong toxicity, such as cadmium, chromium, plumbum, arsenic, mercury. With rapid economic growth, large amounts of resources had been consumed and serious problems of environmental pollution had been caused at the same time in China. In May 2013, the Guangzhou Food and Drug Administration sampling results showed that, for rice and rice products samplings, 8 out of 18 batches (as high as 44.4%) were found excessive levels of cadmium. In July 2013, it was reported that nearly 30% soils were contaminated with heavy metals at the Pearl River in southern China by media. Heavy metal pollution made a great contribution to endemic disease in contaminated areas. For example, from 1930s to 1970s, the residents suffered from a cadmium intoxication disease named itai-itai disease in the Toyama Prefecture, Japan. Cadmium intoxication is derived from eating local rice irrigated by wastewater of smelting plants. In 1956, Residents suffered from Minamata disease (methyl mercury intoxication) through eating contaminated fishes and shellfishes in Kumamoto Prefecture of Japan.</p>
   <p>In mining engineering, the tailings were stacked in the tailings reservoir. They were important sources of heavy metal pollution. Hunan Province, which is called “Land of China’s non-ferrous metals”, is seriously contaminated area by heavy metals. A plenty number of tailings reservoirs have been built in Hunan. In order to prevent the pollution, the research on the mechanic and detection of heavy metals migration is very important <xref ref-type="bibr" rid="scirp.136079-1">
     [1]
    </xref> <xref ref-type="bibr" rid="scirp.136079-2">
     [2]
    </xref>. It is not only the foundation of evaluation on surrounding soil, water and other environmental factors in tailing site, but also an important basis for taking pollution control measures. Currently, research have been mainly focused on the heavy metal migration in soil environment <xref ref-type="bibr" rid="scirp.136079-3">
     [3]
    </xref>-<xref ref-type="bibr" rid="scirp.136079-5">
     [5]
    </xref>, garbage <xref ref-type="bibr" rid="scirp.136079-6">
     [6]
    </xref>, plants and animals <xref ref-type="bibr" rid="scirp.136079-7">
     [7]
    </xref>-<xref ref-type="bibr" rid="scirp.136079-9">
     [9]
    </xref>.</p>
   <p>Non-destructive detection technology (NDT) is one of detection technologies by using sound (light, magnetism, electricity or other features) to detect whether the target body exists in the test object. On the other hand, the target body properties including the size, location, nature and quantity information are given without destruction of the test object. Ground penetrating radar (GPR) is non-destructive detection device to detect subsurface information using electromagnetic wave. When electromagnetic wave travels through subsurface medium, its travel path, field strength and waveform will differ with medium changes and geometry varies. It has been widely applied in engineering geological investigation and monitoring <xref ref-type="bibr" rid="scirp.136079-10">
     [10]
    </xref>-<xref ref-type="bibr" rid="scirp.136079-12">
     [12]
    </xref>, engineering quality testing <xref ref-type="bibr" rid="scirp.136079-13">
     [13]
    </xref>-<xref ref-type="bibr" rid="scirp.136079-16">
     [16]
    </xref> and soil contamination detection <xref ref-type="bibr" rid="scirp.136079-17">
     [17]
    </xref>-<xref ref-type="bibr" rid="scirp.136079-23">
     [23]
    </xref> and other fields.</p>
   <p>It is a novel focus of research to achieve rapid evaluation and analysis on heavy metal migration. Based on general principles of non-destructive detection, a case test was studied. A new method for rapid non-destructive detection of heavy metals migration was provided, and its reliability was proved by lab analysis of samples.</p>
  </sec><sec id="s2">
   <title>2. Project Overview</title>
   <sec id="s2_1">
    <title>2.1. Introduction of Experimental Site</title>
    <p>Xiangjiang River undertook 60% population and 70% GDP of Hunan Province. It suffered from over 60% pollutants of Hunan. It was the most seriously polluted river by heavy metals in China. Dongjiang Lake is one of the water sources of Xiangjiang River. Therefore, pollution status of Dongjiang Lake area is very important to the heavy metal treatment of Xiangjiang River.</p>
    <p>An abandoned tailings reservoir was taken as the research object. It is located in Qingjiang town, Zixing County, Hunan Province. It was built in 1980s and closed in 2008. Due to the lake of design documents and standard regulation, parameters of this tailings site were inadequate. Based on site survey, it was found that tailings had been discharged directly on hillside. Tailing dam was constructed with waste rocks. The thickness of accumulated tailings was approximately 3 m. On the east of this tailings site, a path led to X023 county road. A river beneath the feet of tailing dam flowed into Dongjiang Lake. Minimum distance between the tailings dam and Dongjiang Lake was less than 2 kilometers, as shown in <xref ref-type="fig" rid="fig1">
      Figure 1
     </xref>.</p>
    <fig id="fig1" position="float">
     <label>Figure 1</label>
     <caption>
      <title>Figure 1. Surrounding environment of the tailings site.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/6705280-rId12.jpeg?20240926041757" />
    </fig>
   </sec>
   <sec id="s2_2">
    <title>2.2. Principle of Non-Destructive Detection</title>
    <p>Ground penetrating radar (GPR) is a high-frequency electromagnetic technique which is used in geophysical explorations. It involves the emission of an electromagnetic wave that travels through the medium. The signal is reflected by sharp changes in the electromagnetic properties of the materials, which is recorded by the radar system. The travel time, frequencies and amplitude characters of the GPR wave are recorded.</p>
    <p>Relationship of travel time, depth of reflection and wave velocity is shown in Equation (1).</p>
    <p>
     <xref ref-type="bibr" rid="scirp.136079-"></xref> 
     <math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> 
       <mi>
         t 
       </mi> 
       <mo>
         = 
       </mo> 
       <mrow> 
        <mrow> 
         <mn>
           2 
         </mn> 
         <mi>
           H 
         </mi> 
        </mrow> 
        <mo>
          / 
        </mo> 
        <mi>
          v 
        </mi> 
       </mrow> 
      </mrow> 
     </math>(1)</p>
    <p>In the formula, h represents distance, m; v represents velocity.</p>
    <p>The most common mode of GPR operation is single-fold, fix-offset reflection profiling as illustrated in <xref ref-type="fig" rid="fig2(a)">
      Figure 2(a)
     </xref>. This mode of operation gives rise to date such as shown conceptually in <xref ref-type="fig" rid="fig2(b)">
      Figure 2(b)
     </xref>.</p>
    <fig id="fig2" position="float">
     <label>Figure 2</label>
     <caption>
      <title>Figure 2. (a) Schematic illustration of common-offset single-fold profiling. (b) Format of GPR reflection section with radar events shown for features as depicted in (a).</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/6705280-rId15.jpeg?20240926041758" />
    </fig>
   </sec>
   <sec id="s2_3">
    <title>2.3. Arrangement of Survey Lines</title>
    <p>Six survey lines were arranged on reclaimed tailings site considering site conditions (<xref ref-type="fig" rid="fig3">
      Figure 3
     </xref>). Five of those lines (from line No. 1 to No.5) were set as X direction, the other one (line No.6) was set as Y direction. Respectively, the length of survey lines from No.1 to No.6 was 85 m, 94 m, 88 m, 66 m, 48 m, and 130 m.</p>
    <p>Reclaimed tailings site could be divided into three layers (reclaimed soil layer, tailings layer, and subsoil layer) according to ingredient. It’s known that the deepest depth of tailings layer was only about 3 m. Antennas frequency of 100 mHz were selected for the testing in this situation.</p>
    <fig id="fig3" position="float">
     <label>Figure 3</label>
     <caption>
      <title>Figure 3. Design of GPR detection lines.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/6705280-rId16.jpeg?20240926041758" />
    </fig>
   </sec>
  </sec><sec id="s3">
   <title>3. Non-Destructive Testing</title>
   <sec id="s3_1">
    <title>3.1. Parameters of GPR</title>
    <p>Considering the estimated depth (3 m) of tailings layer, GPR antennas of 100 mHz were selected, and time window was set as 335 ns. During the date processing, electromagnetic wave velocity in wet sand was set as reference velocity. It presented subsurface information in approximately 10 meters.</p>
   </sec>
   <sec id="s3_2">
    <title>3.2. GPR Images Recognition</title>
    <p>There was quite clear interface between reclaimed soil and tailings layer showed in each survey line’s result. There were little changes of thickness in reclaimed soil. Thickness ranged from 0.6 m to 1 m (seen in <xref ref-type="fig" rid="fig4">
      Figure 4
     </xref>).</p>
    <fig id="fig4" position="float">
     <label>Figure 4</label>
     <caption>
      <title>Figure 4. Results from surface to 1.7 m depth of survey line 6.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/6705280-rId17.jpeg?20240926041800" />
    </fig>
    <p>There was an anomaly detected (shown in <xref ref-type="fig" rid="fig5">
      Figure 5
     </xref>) by radar near the intersection of line 1 (60 - 65 m) and line 6 (85 - 90 m). The anomaly was about 3 meters deep. It was speculated to be a geometrical shape of tubiform based on the form of reflection. It was estimated to be pipe lines installed before.</p>
    <fig id="fig5" position="float">
     <label>Figure 5</label>
     <caption>
      <title>Figure 5. Anomaly detected in the intersection of line 1 (above) and line 6 (below) at depth about 3 m.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/6705280-rId18.jpeg?20240926041800" />
    </fig>
    <p>
     <xref ref-type="bibr" rid="scirp.136079-"></xref>It was found that uneven distribution of a large number of scattered small reflector appeared at depths range from 0.5 m to 1.5 m in each survey line. Because tailings dam was constructed with backfill materials, they were speculated to be reflection of that structure. such as gravels, bricks and other wastes. Survey line 5 was closest to the filling dam, so it was found of the largest number of that scattered small reflections. As shown in <xref ref-type="fig" rid="fig5">
      Figure 5
     </xref>, there was an inclined reflection presented in survey line 5. It could be caused by the structure of tailings dam as well.</p>
    <p>When GPR was working near the wire, it was interfered. Significant signal disturbance appeared in the results of three survey lines. After excluding the interference of wires, there were rarely abnormal reflections received under the depth of 3 m, as shown in <xref ref-type="fig" rid="fig6">
      Figure 6
     </xref>. Therefore, it was concluded that there was rarely interface of two different medium in terms of electromagnetic properties. In other words, it could be speculated that subsoil had been mixed up with tailings. Downward migration of heavy metals occurred in this tailings site.</p>
    <fig id="fig6" position="float">
     <label>Figure 6</label>
     <caption>
      <title>Figure 6. Scattered small reflectors and inclined reflection presented in survey line 5.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/6705280-rId19.jpeg?20240926041801" />
    </fig>
   </sec>
  </sec><sec id="s4">
   <title>4. Chemical Composition Analysis</title>
   <sec id="s4_1">
    <title>4.1. Analyze Method</title>
    <p>In order to verify the results of GPR detection, two points along survey lines were selected as the sampling holes (shown in <xref ref-type="fig" rid="fig7">
      Figure 7
     </xref>). Samples were analyzed by X-ray fluorescence method to determine chemical composition. The depths and numbers of each samples were shown in <xref ref-type="table" rid="table1">
      Table 1
     </xref>. National standard GB15618-1995 of China was set as reference to determine contamination degree in all samples.</p>
    <table-wrap id="table1">
     <label>
      <xref ref-type="table" rid="table1">
       Table 1
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.136079-"></xref>Table 1. Statistical of samples.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="21.56%">Position of sample<p style="text-align:center"></p></td> 
       <td class="custom-bottom-td acenter" width="15.68%">Near surface<p style="text-align:center"></p></td> 
       <td class="custom-bottom-td acenter" width="15.69%">Subsurface reclaimed soil<p style="text-align:center"></p></td> 
       <td class="custom-bottom-td acenter" width="15.69%">Interface<p style="text-align:center"></p></td> 
       <td class="custom-bottom-td acenter" width="15.69%">Tailings layer<p style="text-align:center"></p></td> 
       <td class="custom-bottom-td acenter" width="15.69%">Deepest sample<p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="21.56%">Number<p style="text-align:center"></p></td> 
       <td class="custom-top-td acenter" width="15.68%">1-1<p style="text-align:center"></p></td> 
       <td class="custom-top-td acenter" width="15.69%">1-2<p style="text-align:center"></p></td> 
       <td class="custom-top-td acenter" width="15.69%">1-3<p style="text-align:center"></p></td> 
       <td class="custom-top-td acenter" width="15.69%">1-4<p style="text-align:center"></p></td> 
       <td class="custom-top-td acenter" width="15.69%">1-5<p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="21.56%">Depth (cm)<p style="text-align:center"></p></td> 
       <td class="acenter" width="15.68%">10<p style="text-align:center"></p></td> 
       <td class="acenter" width="15.69%">26<p style="text-align:center"></p></td> 
       <td class="acenter" width="15.69%">57<p style="text-align:center"></p></td> 
       <td class="acenter" width="15.69%">198<p style="text-align:center"></p></td> 
       <td class="acenter" width="15.69%">300<p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="21.56%">Number<p style="text-align:center"></p></td> 
       <td class="acenter" width="15.68%">2-1<p style="text-align:center"></p></td> 
       <td class="acenter" width="15.69%">2-2<p style="text-align:center"></p></td> 
       <td class="acenter" width="15.69%">2-3<p style="text-align:center"></p></td> 
       <td class="acenter" width="15.69%">2-4<p style="text-align:center"></p></td> 
       <td class="acenter" width="15.69%">2-5<p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="21.56%">Depth (cm)<p style="text-align:center"></p></td> 
       <td class="acenter" width="15.68%">42.5<p style="text-align:center"></p></td> 
       <td class="acenter" width="15.69%">60<p style="text-align:center"></p></td> 
       <td class="acenter" width="15.69%">90<p style="text-align:center"></p></td> 
       <td class="acenter" width="15.69%">250<p style="text-align:center"></p></td> 
       <td class="acenter" width="15.69%">400<p style="text-align:center"></p></td> 
      </tr> 
     </table>
    </table-wrap>
    <fig id="fig7" position="float">
     <label>Figure 7</label>
     <caption>
      <title>(a) (b) (c)Figure 7. Sampling with luoyang shovel (a); sample collection (b); dimension of sampling holes (c).</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="" />
    </fig>
    <fig id="fig7" position="float">
     <label>Figure 7</label>
     <caption>
      <title>(a) (b) (c)Figure 7. Sampling with luoyang shovel (a); sample collection (b); dimension of sampling holes (c).</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/6705280-rId20.jpeg?20240926041802" />
    </fig>
    <fig id="fig7" position="float">
     <label>Figure 7</label>
     <caption>
      <title>(a) (b) (c)Figure 7. Sampling with luoyang shovel (a); sample collection (b); dimension of sampling holes (c).</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/6705280-rId21.jpeg?20240926041802" />
    </fig>
    <fig id="fig7" position="float">
     <label>Figure 7</label>
     <caption>
      <title>(a) (b) (c)Figure 7. Sampling with luoyang shovel (a); sample collection (b); dimension of sampling holes (c).</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/6705280-rId22.jpeg?20240926041802" />
    </fig>
   </sec>
   <sec id="s4_2">
    <title>4.2. Chemical Analysis</title>
    <p>Concentrations of four strong toxic heavy metals (As, Cd, Cr, Pb) were statistically analyzed. Analysis results indicated:</p>
    <fig id="fig8" position="float">
     <label>Figure 8</label>
     <caption>
      <title>Figure 8. Total amount of As, Cd, Cr, Pb vs Sample depth.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/6705280-rId23.jpeg?20240926041802" />
    </fig>
    <p>1) Total amount: The total amount of the four elements was illustrated in <xref ref-type="fig" rid="fig8">
      Figure 8
     </xref>. It could be found that there were also heavy metals in surface soil, and the concentration were the lowest, but peak value of heavy metals concentration was not found in deepest samples.</p>
    <p>2) As: Arsenic was found in both sampling holes (trivalent arsenic). Concentration of arsenic in all the samples was found exceeded class III soil standard specified in GB15618-1995. The highest concentration of As in samples was 98.5 times limit value of dry land (<xref ref-type="fig" rid="fig9">
      Figure 9
     </xref>).</p>
    <fig id="fig9" position="float">
     <label>Figure 9</label>
     <caption>
      <title>Figure 9. Concentration of As vs Sample depth. Critical concentration of As specified in class III national soil quality standard is 0.003% for paddyfield, 0.004% for dryland.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/6705280-rId24.jpeg?20240926041802" />
    </fig>
    <fig id="fig10" position="float">
     <label>Figure 10</label>
     <caption>
      <title>Figure 10. Concentration of Cd vs Sample depth. Critical concentration of Cd specified in class III national soil quality standard is 0.0001%.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/6705280-rId25.jpeg?20240926041802" />
    </fig>
    <p>3) Cd: There was no cadmium found in four samples. The number was 1-1, 1-3, 2-1, 2-5, respectively. Cadmium concentrations of remaining samples exceeded the standard value. Highest value of cadmium concentrations was 21,000 times standard value. Cadmium in soil usually existed in the form of cadmium carbonate, it was difficult to be dissolved and migrated with water flow. Therefore, it was not evenly distributed in the soil. It was indicated that distribution of Cd was random in the contaminated soil area (<xref ref-type="fig" rid="fig10">
      Figure 10
     </xref>).</p>
    <fig id="fig11" position="float">
     <label>Figure 11</label>
     <caption>
      <title>Figure 11. Concentration of Cr vs Sample depth. Critical concentration of As specified in class III national soil quality standard is 0.04% for paddyfield, 0.03% for dryland.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/6705280-rId26.jpeg?20240926041802" />
    </fig>
    <fig id="fig12" position="float">
     <label>Figure 12</label>
     <caption>
      <title>Figure 12. Concentration of Pb vs Sample depth. Critical concentration of Pb specified in class III national soil quality standard is 0.05%.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/6705280-rId27.jpeg?20240926041802" />
    </fig>
    <p>4) Cr: Concentration of Cr in all samples was lower than level specified in national standard, Cr component was distributed in the soil randomly, Owing to the insolubility of chromium oxide. There was no Cr found in some samples (Number 1-3, 2-2, 2-3, 2-4, 2-5 showed in <xref ref-type="fig" rid="fig11">
      Figure 11
     </xref>).</p>
    <p>5) Pb: It was found in all samples. Concentration of Pb was not substandard in surface soil samples. However, Concentration of Pb in other samples was all exceeded to standard (<xref ref-type="fig" rid="fig12">
      Figure 12
     </xref>).</p>
   </sec>
   <sec id="s4_3">
    <title>4.3. Pollution Degree</title>
    <p>The concept of pollution degree (W) was introduced to reflect soil pollution effectively caused by heavy metals. Critical concentration of national soil quality standard is shown in <xref ref-type="table" rid="table2">
      Table 2
     </xref>.</p>
    <table-wrap id="table2">
     <label>
      <xref ref-type="table" rid="table2">
       Table 2
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.136079-"></xref>Table 2. Critical concentration of national soil quality standard.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="27.96%">Heavy metal elements<p style="text-align:center"></p></td> 
       <td class="custom-bottom-td acenter" width="28.68%">Critical Concentration<p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="27.96%">As<p style="text-align:center"></p></td> 
       <td class="custom-top-td acenter" width="28.68%">0.003%<p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="27.96%">Cd<p style="text-align:center"></p></td> 
       <td class="acenter" width="28.68%">0.0001%<p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="27.96%">Cr<p style="text-align:center"></p></td> 
       <td class="acenter" width="28.68%">0.04%<p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="27.96%">Pb<p style="text-align:center"></p></td> 
       <td class="acenter" width="28.68%">0.05%<p style="text-align:center"></p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>
     <math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> 
       <mi>
         W 
       </mi> 
       <mo>
         = 
       </mo> 
       <mrow> 
        <mo>
          ( 
        </mo> 
        <mrow> 
         <mfrac> 
          <mrow> 
           <mtext>
             Concentration of test data 
           </mtext> 
          </mrow> 
          <mrow> 
           <mtext>
             Critical concentration 
           </mtext> 
          </mrow> 
         </mfrac> 
        </mrow> 
        <mo>
          ) 
        </mo> 
       </mrow> 
       <mo>
         − 
       </mo> 
       <mn>
         1 
       </mn> 
      </mrow> 
     </math> (2)</p>
    <p>On the basis of calculation results, pollution degree of soil was divided into different ranks. W &lt; 0 (degree I): no pollution, 0 &lt; W &lt; 1 (degree II): light pollution, 1 &lt; W &lt; 2 (degree III): moderate pollution, W &gt; 2 (degree IV): heavy pollution. After the calculation, <xref ref-type="table" rid="table3">
      Table 3
     </xref> below was got:</p>
    <table-wrap id="table3">
     <label>
      <xref ref-type="table" rid="table3">
       Table 3
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.136079-"></xref>Table 3. Pollution degree of two sampling holes.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="14.47%">Number<p style="text-align:center"></p></td> 
       <td class="custom-bottom-td acenter" width="16.33%">Depth (cm)<p style="text-align:center"></p></td> 
       <td class="custom-bottom-td acenter" width="9.49%">As<p style="text-align:center"></p></td> 
       <td class="custom-bottom-td acenter" width="9.50%">Cd<p style="text-align:center"></p></td> 
       <td class="custom-bottom-td acenter" width="9.49%">Cr<p style="text-align:center"></p></td> 
       <td class="custom-bottom-td acenter" width="9.50%">Pb<p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="14.47%">1-1<p style="text-align:center"></p></td> 
       <td class="custom-top-td acenter" width="16.33%">10<p style="text-align:center"></p></td> 
       <td class="custom-top-td acenter" width="9.49%">II<p style="text-align:center"></p></td> 
       <td class="custom-top-td acenter" width="9.50%">—<p style="text-align:center"></p></td> 
       <td class="custom-top-td acenter" width="9.49%">I<p style="text-align:center"></p></td> 
       <td class="custom-top-td acenter" width="9.50%">I<p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.47%">1-2<p style="text-align:center"></p></td> 
       <td class="acenter" width="16.33%">26<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.49%">IV<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.50%">IV<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.49%">I<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.50%">IV<p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.47%">1-3<p style="text-align:center"></p></td> 
       <td class="acenter" width="16.33%">57<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.49%">IV<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.50%">—<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.49%">—<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.50%">IV<p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.47%">1-4<p style="text-align:center"></p></td> 
       <td class="acenter" width="16.33%">198<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.49%">IV<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.50%">IV<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.49%">I<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.50%">IV<p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.47%">1-5<p style="text-align:center"></p></td> 
       <td class="acenter" width="16.33%">300<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.49%">IV<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.50%">IV<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.49%">I<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.50%">IV<p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.47%">2-1<p style="text-align:center"></p></td> 
       <td class="acenter" width="16.33%">42.5<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.49%">IV<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.50%">—<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.49%">I<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.50%">I<p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.47%">2-2<p style="text-align:center"></p></td> 
       <td class="acenter" width="16.33%">60<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.49%">IV<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.50%">IV<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.49%">—<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.50%">IV<p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.47%">2-3<p style="text-align:center"></p></td> 
       <td class="acenter" width="16.33%">90<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.49%">IV<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.50%">IV<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.49%">—<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.50%">IV<p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.47%">2-4<p style="text-align:center"></p></td> 
       <td class="acenter" width="16.33%">250<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.49%">IV<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.50%">IV<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.49%">—<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.50%">IV<p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.47%">2-5<p style="text-align:center"></p></td> 
       <td class="acenter" width="16.33%">400<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.49%">IV<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.50%">—<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.49%">—<p style="text-align:center"></p></td> 
       <td class="acenter" width="9.50%">IV<p style="text-align:center"></p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>Based on the analysis and calculations above, in general, this land was heavily polluted. The concentration of As, Cd and Pb in this area was much higher than normal.</p>
   </sec>
  </sec><sec id="s5">
   <title>5. Comparatively Analysis</title>
   <p>It was showed that there were a lot of small anomalies in reclaimed soil. They were presumed to be waste rock backfills, bricks and so on. During the sampling process, it was failed to sample in some drill holes due to the presence of waste rock. Some sampling points had to be relocated. However, reflectors and abnormalities decreased gradually more than 1.5 m depth. It was indicated that medium in deeper layer was more uniform than medium of shallow subsurface. During sampling process, in fact, the gravels hadn’t been found excess the depth of 1.5 m. GPR imaging results were verified by samplings as well.</p>
   <p>The interface was clearly evident between reclaimed soil and tailings layer. But, there was no reflection signal made by the interface of primary soil and tailings discharged in the radar images. It’s speculated that tailings layer and primary subsoil layer had been mixed up with each other, and downward migration of heavy metals had emerged at the same time. It could be found through chemical analysis that: Concentrations of Cd and As were found substandard in surface soil only, the concentration of every heavy metal was found exceeded to national soil standard of type III with the increasing depth. the concentration of heavy metal was much higher than the standard value under the tailings layer as well. Downward migration of heavy metals was found in this tailing site, and it was the dominating form of heavy metals migration. Upward migration occurred through adsorption at the same time.</p>
  </sec><sec id="s6">
   <title>6. Conclusions</title>
   <p>1) GPR was not only a non-destructive detection device for geological information and structures, but also a non-destructive testing method for vertical migration of heavy metal pollution in tailings site. Through image recognition, it was found that tailings reservoir had 3 layers. Reclaimed soil layer (the first layer) and tailings layer (the second layer) had a clear interface. However, tailings layer (the second layer) and subsoil layer (the third layer) had an obscure interface on radar images. The downward migration was the main form of heavy metal migration in this area. Chemical component analysis of soil samples verified these conclusions.</p>
   <p>2) In the tailings site, Cd, Cr, As and Pb were the main pollutants. Cd and Cr’s concentration had a large range of variation. While As and Pb’s concentration changed little in different samples.</p>
   <p>3) Generally, soil in this tailings site was heavily polluted based on pollution degree analysis. The concentration of As, Cd and Pb in this area was seriously out of limit.</p>
   <p>4) Heavy metal pollution had the ability to migrate vertically upwards and downwards. Downward migration was the main transfer form, and upward migration occurred meanwhile by adsorption.</p>
  </sec><sec id="s7">
   <title>Foundation Item</title>
   <p>The 12<sup>th</sup> National Five-Year Science &amp; Technology Support Program: Technology and demonstration of disposing and recycling tailings in waste mine area. (2012BAC09B02).</p>
  </sec>
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    </mixed-citation>
   </ref>
  </ref-list>
 </back>
</article>