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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">ojg</journal-id>
      <journal-title-group>
        <journal-title>Open Journal of Geology</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2161-7589</issn>
      <issn pub-type="ppub">2161-7570</issn>
      <publisher>
        <publisher-name>Scientific Research Publishing</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.4236/ojg.2026.1611036</article-id>
      <article-id pub-id-type="publisher-id">ojg-155258</article-id>
      <article-categories>
        <subj-group>
          <subject>Article</subject>
        </subj-group>
        <subj-group>
          <subject>Earth</subject>
          <subject>Environmental Sciences</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Physico-Chemical and Mineralogical Characterisation of Clay Geomaterials and a Typology of Quarries in the Korama Valley, South-East Niger</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Malam</surname>
            <given-names>Abdoul Moumouni Adamou Laouali</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <contrib-id contrib-id-type="orcid">0009-0003-4708-9129</contrib-id>
          <name name-style="western">
            <surname>Issaka</surname>
            <given-names>Abdoulkader Moussa</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Hassane</surname>
            <given-names>Bouba</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Harouna</surname>
            <given-names>Souley</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Karimou</surname>
            <given-names>Dia Hantchi</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Maman</surname>
            <given-names>Oumarou Faroukou Habibou</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Maman</surname>
            <given-names>Nana Mariama Habibou</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label> Department of Geological and Environmental Sciences, André Salifou University, Zinder, Niger </aff>
      <aff id="aff2"><label>2</label> Department of Geology, Abdou Moumouni University, Niamey, Niger </aff>
      <aff id="aff3"><label>3</label> Department of Civil Engineering, School of Mining, Industry and Geology (EMIG), Niamey, Niger </aff>
      <aff id="aff4"><label>4</label> Department of Geology, Dan Dicko Danklo University of Maradi, Maradi, Niger </aff>
      <author-notes>
        <fn fn-type="conflict" id="fn-conflict">
          <p>The authors declare no conflicts of interest regarding the publication of this paper.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub">
        <day>12</day>
        <month>11</month>
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>11</month>
        <year>2026</year>
      </pub-date>
      <volume>16</volume>
      <issue>11</issue>
      <fpage>749</fpage>
      <lpage>764</lpage>
      <history>
        <date date-type="received">
          <day>23</day>
          <month>09</month>
          <year>2026</year>
        </date>
        <date date-type="accepted">
          <day>09</day>
          <month>11</month>
          <year>2026</year>
        </date>
        <date date-type="published">
          <day>12</day>
          <month>11</month>
          <year>2026</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© 2026 by the authors and Scientific Research Publishing Inc.</copyright-statement>
        <copyright-year>2026</copyright-year>
        <license license-type="open-access">
          <license-p> This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link> ). </license-p>
        </license>
      </permissions>
      <self-uri content-type="doi" xlink:href="https://doi.org/10.4236/ojg.2026.1611036">https://doi.org/10.4236/ojg.2026.1611036</self-uri>
      <abstract>
        <p>In Niger, clay geomaterials are widely distributed and extensively quarried. Unfortunately, these materials are still poorly investigated. This limits their potential for utilisation. The aim of this study is to characterise the clay geomaterials and to propose a typology of the various quarries in the Korama Valley in Niger. The clay geomaterials from these various quarries were characterised using X-ray diffraction and fluorescence, the mapping of lithological sections, and Principal Component Analysis (PCA) of the results. All the geomaterials are deposited in two types of horizons: superficial sedimentary horizons and deep alterite horizons. Two groups of geomaterials emerge: those characterised by an abundance of silica (mean SiO<sub>2</sub> = 73.67 percent) and a relatively high proportion of alkaline and alkaline earth elements (mean alkaline and alkaline earth elements = 2.54 percent). From a mineralogical perspective, they are characterised by the presence of montmorillonite. Geomaterials characterised by a relatively lower proportion of silica and alkaline and alkaline earth elements have relatively higher proportions of Fe<sub>2</sub>O<sub>3</sub> (mean Fe<sub>2</sub>O<sub>3</sub> = 13.75%) and alumina (mean Al<sub>2</sub>O<sub>3</sub> = 25.69%). Their proportion of titanium dioxide (mean TiO<sub>2</sub> = 3.07%) is relatively high. From a mineralogical perspective, they are characterised by the presence of kaolinite. The proposed classification system has categorised the five (05) quarries sampled into two types; surface quarries and deep quarries. The surface quarries—Kolleram 1 and Garaké—are quarries containing montmorillonite-rich clay geomaterials, which are rich in silica and alkaline earth elements, dark in colour and not very hardened; the deep quarries—Kolleram 2, Menari and Yaouri, are quarries containing kaolinite-based clay geomaterials, which are relatively low in silica and alkaline and alkaline earth elements, more compacted and reddish in colour. All these characteristics mean that the geomaterials from both the shallow and deep quarries differ from a physico-chemical and mineralogical perspective.</p>
      </abstract>
      <kwd-group kwd-group-type="author-generated" xml:lang="en">
        <kwd>Clay Geomaterials</kwd>
        <kwd>Superficial Quarries</kwd>
        <kwd>Deep Quarries</kwd>
        <kwd>X-Ray Diffraction</kwd>
        <kwd>X-Ray Fluorescence</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>1. Introduction</title>
      <p>Quarries producing clay materials are extensively used because of the physico-chemical and mineralogical properties of their geomaterials [<xref ref-type="bibr" rid="B1">1</xref>] [<xref ref-type="bibr" rid="B2">2</xref>]. In Niger, the majority of applications for clay geomaterials are in the construction of houses and in pottery or ceramics in the broadest sense. The Zinder region—and more specifically the Korama Valley, given its geology—is an area with significant potential for clay materials. The pottery of Mirriah, a commune in the Zinder region, is well known beyond our borders. However, to make better use of these materials, it is important to understand them through their characterisation. The clay geomaterials exploited in Niger, and in Zinder in particular, remain scientifically poorly understood. Only a few publications [<xref ref-type="bibr" rid="B3">3</xref>]-[<xref ref-type="bibr" rid="B6">6</xref>] are available. The objectives of this study are to characterise (physico-chemically and mineralogically) the clay geomaterials and to propose a typology of the quarries operated in the Korama Valley, specifically at the Kolleram 1, Garaké, Kolleram 2, Menari and Yaouri quarries.</p>
    </sec>
    <sec id="sec2">
      <title>2. Presentation of the Study Area</title>
      <p>The Korama Valley, the study area, covers an area of approximately 12,000 km<sup>2</sup> and occupies the southern part of the Zinder Region; it covers the whole of the Kantché and Magaria departments and the southern part of the Mirriah and Gouré departments [<xref ref-type="bibr" rid="B7">7</xref>]. It is a vast alluvial plain, oriented north-west to south-east, situated on the edges of the western Niger basin (Iullemeden Basin) and the eastern Niger basin (Lake Chad Basin). With a population of over 1,320,788 in 2009, distributed across twenty-six (26) municipalities—23 rural and three (3) urban—the Korama Valley is also the most densely populated area in the Zinder Region.</p>
      <p>Its climate varies from the Northern Sudanese type in the south to the Sahelian type in the north, and is characterised by two distinct seasons: a short four-month rainy season (from June to September), followed by a longer dry season lasting around eight months. In parts of the area, rainfall exceeds 600 mm per year. It receives the highest rainfall in the Zinder Region. In this part of the Zinder Region, floods are recurrent and devastating. The people of the Korama Valley use several types of banco, mainly black and red banco, to build their homes. These building materials are vulnerable to flooding. This explains the significant collapses of habitations and the resulting loss of life [<xref ref-type="bibr" rid="B8">8</xref>]. </p>
    </sec>
    <sec id="sec3">
      <title>3. Materials and Methods</title>
      <sec id="sec3dot1">
        <title>3.1. Materials</title>
        <p>The quarries and clay geomaterials that were the subject of this study are situated in the localities of Kolleram (2 quarries), Garaké (1 quarry), Menari (1 quarry) and Yaouri (1 quarry), all of which are communes in the Korama Valley, Zinder’s Region. These are quarries of clay geomaterials that have been used for many decades by the local populations in the construction of habitations and for other uses such as pottery. </p>
        <p><bold>Sampling:</bold></p>
        <p>The sampling operation focused on the most extensively exploited quarries in these four localities. Consequently, five (05) quarries were sampled. Two (02) in Kolleram, one (01) in Garaké, one (01) in Menari and one (01) in Yaouri. Two (02) profiles were surveyed per quarry. At each profile, samples were taken from three levels (upper, middle and lower), giving a total of three (03) samples per profile. A total of 30 samples were collected and label as follows:</p>
        <p>Kolleram quarry: KOL;Garaké quarry: GRK;Menari quarry: NriYaouri quarry: YriUpper level: aMiddle level: bLower level: c</p>
      </sec>
      <sec id="sec3dot2">
        <title>3.2. Experimental Methods</title>
        <p>The methods used in this study require the material to be ground into a powder. Preliminary grinding, carried out using an agate mortar and pestle measuring 20 ml in diameter and 70 mm in height, produced millimetre-sized powders or fragments, free from contamination, from all 30 samples. This operation was carried out at the Spectrum Analytical Services Laboratory at the University of Kaduna in Nigeria.</p>
        <p><bold>X-ray</bold><bold>fluorescence</bold></p>
        <p>The chemical compositions of the raw samples were determined by X-ray fluorescence spectrometry. These X-ray fluorescence (XRF) analyses enabled the chemical composition of the samples to be determined. Thus, in this study, the mass percentages of the compounds (major oxides) constituting the raw samples were determined. An “Epsilon 4” energy-dispersive X-ray fluorescence (EDXRF) spectrometer manufactured by PanAnalytical (Netherlands) was used for the analysis. 20 g of the prepared sample were weighed and placed in each sample dish. The dishes, containing their contents, were carefully positioned in their respective measurement positions on the instrument’s sample changer. The following parameters were set when the instrument was switched on.</p>
        <p>Determination of elemental compositionType of samples to be analysed: loose powderVoltage used: 14 kV for major oxides, 20 kV for trace elements and rare-earth metals.Filters selected: “Kapton” for major oxides, Ag/Al-thin for trace elements and rare-earth metals. </p>
        <p>The selection of filters was guided by a given periodic table used for elemental analysis. Time of measurement for each sample was 100 seconds and the medium used was air throughout. The machine was then celebrated by the machines gain control, after which the respective samples were measured by clicking the respective positions of the sample changer. LOI was determined gravimetrically by heating 1 g of the powdered sample in a cleaned weighed crucible at 1000 oc. After which the crucible and the content was weighed to get the difference in weight before and after heating. </p>
        <p>LOI = (a − b/1) × 100%</p>
        <p>where a = weight of crucible + 1 g of the sample before heating; b = weight of crucible + 1 g of the sample after heating.</p>
        <p><bold>X-ray</bold><bold>diffraction</bold><bold>(XRD)</bold></p>
        <p>The mineralogical compositions were obtained from powder X-ray diffraction (XRD) using the Rigaku Miniflex XRD diffractometer, manufactured by the Japanese company Rigaku Corporation. This is a benchtop X-ray diffractometer used for the identification and quantification of phases, the determination of the percentage (%) of crystallinity and crystallite size, and the study of molecular structure. It is widely used in research, particularly in materials science, chemistry, the minerals and mining sectors, as well as in other relevant industries, for research and quality control purposes. The goniometer employs Bragg-Brentano geometry, with a radius of 150 mm, and has a measurement range (2<italic>θ</italic>) between 4˚ and 75˚. The X-ray source is a copper anode (<italic>λ</italic> Cu Kα = 1.5418 Å), I = 15 mA (fixed), U = 30 kV (fixed). Measurement speed ranges from 0.01 to 100˚/min.</p>
        <p>The powdered samples are taken to the Analytical Unit for an XRD Analysis to be carried out on them.</p>
        <p>One to two grams of powdered sample is weighed into the sample Holder and with the use of a glass slid, the sample is compacted to give an even surface area.</p>
        <p>The sample holder is then placed on the XRD multi-samples holders chamber.</p>
        <p>The machine is then calibrated (SET) to begin the analysis using the following conditions: </p>
        <p>*MEAS_COND_XG_CURRENT "15"</p>
        <p>*MEAS_COND_XG_VOLTAGE "40"</p>
        <p>*MEAS_COND_XG_WAVE_TYPE "Ka"</p>
        <p>*MEAS_DATA_COUNT "3401"</p>
        <p>*MEAS_SCAN_AXIS_X "TwoThetaTheta"</p>
        <p>*MEAS_SCAN_AXIS_X_INTERNAL "TwoThetaTheta"</p>
        <p>*MEAS_SCAN_END_TIME "07/14/2023 09:17:09"</p>
        <p>*MEAS_SCAN_MODE "CONTINUOUS"</p>
        <p>*MEAS_SCAN_MODE_INTERNAL "CONTINUOUS"</p>
        <p>*MEAS_SCAN_RESOLUTION_X "0.0025"</p>
        <p>*MEAS_SCAN_SPEED "20.0000"</p>
        <p>*MEAS_SCAN_SPEED_UNIT "deg/min"</p>
        <p>*MEAS_SCAN_START "2.0000"</p>
        <p>*MEAS_SCAN_START_TIME "07/14/2023 09:13:35"</p>
        <p>*MEAS_SCAN_STEP "0.0200"</p>
        <p>*MEAS_SCAN_STOP "70.0000"</p>
        <p>*MEAS_SCAN_UNEQUALY_SPACED "False"</p>
        <p>*MEAS_SCAN_UNIT_X "deg"</p>
        <p>*MEAS_SCAN_UNIT_Y "cps"</p>
        <p>#Intensity_unit=cps</p>
        <p>#Attenuator_coefficient=1.0000</p>
        <p>The results of analyses are automatically saved into a directory folder which are further uploaded on STUDIO SMART LAB II in conjunction with ICDD PDF-4 to perform an automatic/manual search-match.</p>
      </sec>
      <sec id="sec3dot3">
        <title>3.3. Characterisation of Geomaterials</title>
        <p>Based on the results of X-ray diffraction and X-ray fluorescence analysis of the various samples, the proportions of the major oxides and the mineralogy of all samples were determined. A Principal Component Analysis (PCA) was used for in-depth analysis to highlight the characteristics of the geomaterials from each quarry.</p>
      </sec>
      <sec id="sec3dot4">
        <title>3.4. Proposal for a Typology of Quarries</title>
        <p>A cross-analysis based on field observations of the type of deposit, the lithological nature of the geomaterials, the condition of the deposit and accessibility conditions has enabled us to propose a typology of the different quarries sampled.</p>
      </sec>
    </sec>
    <sec id="sec4">
      <title>4. Results</title>
      <sec id="sec4dot1">
        <title>4.1. Lithology of the Quarries and Geochemistry of the Geomaterials</title>
        <p><bold>Kolleram</bold><bold>1</bold><bold>quarry</bold></p>
        <p>At Kolleram 1, t wo (02) sedimentary horizons are observed: a sandy loam surface horizon averaging 30 cm in thickness and a clayey-silty horizon over 320 cm thick (<xref ref-type="fig" rid="fig1">Figure 1</xref>). These horizons are relatively richer in silica (Mean SiO<sub>2</sub> = 68.61 percent) and alkaline and alkaline earth elements (Mean (Mg, Na and K) = 2.66 percent) and relatively poor in TiO<sub>2</sub> (Mean TiO<sub>2</sub> = 1.01 percent) (<bold>Tables 1</bold>-<bold>3</bold>).</p>
        <fig id="fig1">
          <label>Figure 1</label>
          <caption>
            <p>Lithological sections: A: Kolleram 1; B: Garaké.</p>
          </caption>
          <graphic xlink:href="https://html.scirp.org/file/1211981-rId15.jpeg?20261112115603" />
        </fig>
        <p>Table 1. Silica (SiO<sub>2</sub>) proportion in quarries.</p>
        <table-wrap id="tbl1">
          <label>Table 1</label>
          <table>
            <tbody>
              <tr>
                <td>
                </td>
                <td>
                  <bold>Level</bold>
                  <bold>position</bold>
                </td>
                <td>
                  <bold>Kolloram</bold>
                  <bold>1</bold>
                </td>
                <td>
                  <bold>Garaké</bold>
                </td>
                <td>
                  <bold>Kolleram</bold>
                  <bold>2</bold>
                </td>
                <td>
                  <bold>Menari</bold>
                </td>
                <td>
                  <bold>Yaouri</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="3">Profil 1</td>
                <td>Upper level</td>
                <td>65.43</td>
                <td>73.23</td>
                <td>47.32</td>
                <td>65.43</td>
                <td>51.21</td>
              </tr>
              <tr>
                <td>Middle level</td>
                <td>60.21</td>
                <td>76.65</td>
                <td>48.13</td>
                <td>42.1</td>
                <td>58.2</td>
              </tr>
              <tr>
                <td>Lower level</td>
                <td>58.86</td>
                <td>80.12</td>
                <td>43.8</td>
                <td>53.93</td>
                <td>52.68</td>
              </tr>
              <tr>
                <td rowspan="3">Profil 2</td>
                <td>Upper level</td>
                <td>74.6</td>
                <td>77.86</td>
                <td>46.25</td>
                <td>42.59</td>
                <td>40.48</td>
              </tr>
              <tr>
                <td>Middle level</td>
                <td>75.98</td>
                <td>81.3</td>
                <td>51.17</td>
                <td>44.46</td>
                <td>32.92</td>
              </tr>
              <tr>
                <td>Lower level</td>
                <td>76.56</td>
                <td>83.32</td>
                <td>54.42</td>
                <td>44.12</td>
                <td>35.74</td>
              </tr>
              <tr>
                <td colspan="2">
                  <bold>Mean</bold>
                </td>
                <td>
                  <bold>68</bold>
                  <bold>.</bold>
                  <bold>61</bold>
                </td>
                <td>
                  <bold>78</bold>
                  <bold>.</bold>
                  <bold>75</bold>
                </td>
                <td>
                  <bold>48</bold>
                  <bold>.</bold>
                  <bold>52</bold>
                </td>
                <td>
                  <bold>48</bold>
                  <bold>.</bold>
                  <bold>77</bold>
                </td>
                <td>
                  <bold>45</bold>
                  <bold>.</bold>
                  <bold>21</bold>
                </td>
              </tr>
              <tr>
                <td colspan="2">
                  <bold>Mean</bold>
                  <bold>per</bold>
                  <bold>group</bold>
                </td>
                <td colspan="2">
                  <bold>73</bold>
                  <bold>.</bold>
                  <bold>68</bold>
                </td>
                <td colspan="3">
                  <bold>47</bold>
                  <bold>.</bold>
                  <bold>5</bold>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>Table 2. Proportion of alkaline and alkaline earth elements (Mg, Na and K).</p>
        <table-wrap id="tbl2">
          <label>Table 2</label>
          <table>
            <tbody>
              <tr>
                <td>
                </td>
                <td>
                  <bold>Level position</bold>
                </td>
                <td>
                  <bold>Kolloram</bold>
                  <bold>1</bold>
                </td>
                <td>
                  <bold>Garaké</bold>
                </td>
                <td>
                  <bold>Kolleram</bold>
                  <bold>2</bold>
                </td>
                <td>
                  <bold>Menari</bold>
                </td>
                <td>
                  <bold>Yaouri</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="3">Profil 1</td>
                <td>Upper level</td>
                <td>0.61</td>
                <td>1.99</td>
                <td>0.96</td>
                <td>1.23</td>
                <td>1.9</td>
              </tr>
              <tr>
                <td>Middle level</td>
                <td>1.55</td>
                <td>2.23</td>
                <td>0.55</td>
                <td>1.2</td>
                <td>1.34</td>
              </tr>
              <tr>
                <td>Lower level</td>
                <td>4.25</td>
                <td>1.77</td>
                <td>1.21</td>
                <td>1.08</td>
                <td>1.4</td>
              </tr>
              <tr>
                <td rowspan="3">Profil 2</td>
                <td>Upper level</td>
                <td>1.34</td>
                <td>2.53</td>
                <td>0.93</td>
                <td>0.78</td>
                <td>1.6</td>
              </tr>
              <tr>
                <td>Middle level</td>
                <td>4.93</td>
                <td>2.14</td>
                <td>1.02</td>
                <td>1.04</td>
                <td>2</td>
              </tr>
              <tr>
                <td>Lower level</td>
                <td>3.32</td>
                <td>1.55</td>
                <td>2.02</td>
                <td>1.71</td>
                <td>1.87</td>
              </tr>
              <tr>
                <td colspan="2">
                  <bold>Mean</bold>
                </td>
                <td>
                  <bold>2</bold>
                  <bold>.</bold>
                  <bold>67</bold>
                </td>
                <td>
                  <bold>2</bold>
                  <bold>.</bold>
                  <bold>04</bold>
                </td>
                <td>
                  <bold>1</bold>
                  <bold>.</bold>
                  <bold>12</bold>
                </td>
                <td>
                  <bold>1</bold>
                  <bold>.</bold>
                  <bold>17</bold>
                </td>
                <td>
                  <bold>1</bold>
                  <bold>.</bold>
                  <bold>69</bold>
                </td>
              </tr>
              <tr>
                <td colspan="2">
                  <bold>Mean per group</bold>
                </td>
                <td colspan="2">
                  <bold>2</bold>
                  <bold>.</bold>
                  <bold>35</bold>
                </td>
                <td colspan="3">
                  <bold>1</bold>
                  <bold>.</bold>
                  <bold>32</bold>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>Table 3. TiO<sub>2</sub> proportions.</p>
        <table-wrap id="tbl3">
          <label>Table 3</label>
          <table>
            <tbody>
              <tr>
                <td>
                </td>
                <td>
                  <bold>Level position</bold>
                </td>
                <td>
                  <bold>Kolloram</bold>
                  <bold>1</bold>
                </td>
                <td>
                  <bold>Garaké</bold>
                </td>
                <td>
                  <bold>Kolleram</bold>
                  <bold>2</bold>
                </td>
                <td>
                  <bold>Menari</bold>
                </td>
                <td>
                  <bold>Yaouri</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="3">Profil 1</td>
                <td>Upper level</td>
                <td>1.74</td>
                <td>2.91</td>
                <td>3.3</td>
                <td>3.22</td>
                <td>2.47</td>
              </tr>
              <tr>
                <td>Middle level</td>
                <td>0.56</td>
                <td>2.46</td>
                <td>3.8</td>
                <td>2.91</td>
                <td>2.52</td>
              </tr>
              <tr>
                <td>Lower level</td>
                <td>1.27</td>
                <td>1.87</td>
                <td>2.94</td>
                <td>3.46</td>
                <td>3.28</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p><bold>Continued</bold></p>
        <table-wrap id="tbl4">
          <label>Table 4</label>
          <table>
            <tbody>
              <tr>
                <td rowspan="3">Profil 2</td>
                <td>Upper level</td>
                <td>0.8</td>
                <td>1.66</td>
                <td>2.45</td>
                <td>3.72</td>
                <td>3.01</td>
              </tr>
              <tr>
                <td>Middle level</td>
                <td>0.86</td>
                <td>1.84</td>
                <td>2.88</td>
                <td>3.07</td>
                <td>3.17</td>
              </tr>
              <tr>
                <td>Lower level</td>
                <td>0.88</td>
                <td>1.51</td>
                <td>2.67</td>
                <td>4.26</td>
                <td>3.25</td>
              </tr>
              <tr>
                <td colspan="2">
                  <bold>Mean</bold>
                </td>
                <td>
                  <bold>1</bold>
                  <bold>.</bold>
                  <bold>02</bold>
                </td>
                <td>
                  <bold>2</bold>
                  <bold>.</bold>
                  <bold>04</bold>
                </td>
                <td>
                  <bold>3</bold>
                  <bold>.</bold>
                  <bold>01</bold>
                </td>
                <td>
                  <bold>3</bold>
                  <bold>.</bold>
                  <bold>44</bold>
                </td>
                <td>
                  <bold>2</bold>
                  <bold>.</bold>
                  <bold>95</bold>
                </td>
              </tr>
              <tr>
                <td colspan="2">
                  <bold>Mean per group</bold>
                </td>
                <td colspan="2">
                  <bold>1</bold>
                  <bold>.</bold>
                  <bold>52</bold>
                </td>
                <td colspan="3">
                  <bold>3</bold>
                  <bold>.</bold>
                  <bold>13</bold>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p><bold>Garaké</bold><bold>quarry</bold></p>
        <p>Here at Garaké, three (03) sedimentary horizons can be distinguished: a sandy-clay horizon 23 cm thick, a silty-clay horizon 40 cm thick and a clay horizon 30 cm thick (<xref ref-type="fig" rid="fig2">Figure 2</xref>). At the Garaké quarry too, the horizons are relatively richer in silica (Mean SiO<sub>2</sub> = 78.74 percent) and alkaline and alkaline earth elements (Mean (Mg, Na and K) = 2.035 percent) and relatively poor in TiO<sub>2</sub> (Mean TiO<sub>2</sub> = 2.04 percent) (<bold>Tables 1</bold><bold>-</bold><bold>3</bold>).</p>
        <fig id="fig2">
          <label>Figure 2</label>
          <caption>
            <p>Lithological sections: A: Kolleram 2; B: Menari; C: Yaouri.</p>
          </caption>
          <graphic xlink:href="https://html.scirp.org/file/1211981-rId16.jpeg?20261112115604" />
        </fig>
        <p><bold>Kolleram</bold><bold>2</bold><bold>Quarry</bold></p>
        <p>At the Kolleram 2 quarry, two (02) horizons are observed: a superficial sedimentary horizon of granular material (micro-gravel and clay) 70 cm in depth, and a clayey alterite horizon over 550 cm in depth (<xref ref-type="fig" rid="fig2">Figure 2</xref>). At Kolleram 2, the horizons are comparatively low in silica (Mean SiO<sub>2</sub> = 48.51 percent) and alkaline and alkaline earth elements (Mean (Mg, Na and K) = 1.11 percent) and comparatively rich in TiO<sub>2</sub> (Mean TiO<sub>2</sub> = 3.00 percent).</p>
        <p><bold>Menari</bold><bold>quarry</bold></p>
        <p>At Menari, two (02) horizons are observed: a superficial sedimentary horizon of granular material (micro-gravel and clay) 80 cm deep and an alterite horizon over 430 cm deep, which is clayey (<xref ref-type="fig" rid="fig3">Figure 3</xref>). Similarly, at the Menari site, the horizons are comparatively poorer in silica (Mean SiO<sub>2</sub> = 48.77 percent) and alkaline and alkaline earth elements (Mean (Mg, Na and K) = 1.71 percent) and comparatively richer in TiO<sub>2</sub> (Mean TiO<sub>2</sub> = 3.44 percent) (<bold>Tables 1-3</bold>).</p>
        <p><bold>Yaouri</bold><bold>Quarry</bold></p>
        <p>At the Yaouri Quarry, three (03) horizons are observed: a 40 cm deep agilo-sandy surface horizon, a 55 cm deep layer of granular material (micro-gravel and clay), and a clay horizon over 200 cm deep (<xref ref-type="fig" rid="fig3">Figure 3</xref>). At Yaouri too, the horizons are relatively poorer in silica (Mean SiO<sub>2</sub> = 45.20 percent) and alkaline and alkaline earth elements (Mean (Mg, Na and K) = 1.68 percent) and relatively richer in TiO<sub>2</sub> (Mean TiO<sub>2</sub> = 2.95 percent) (<bold>Tables 1-3</bold>).</p>
        <fig id="fig3">
          <label>Figure 3</label>
          <caption>
            <p>Photos of quarries: A: Type 1 (Garaké); B: Category 2 (Yaouri).</p>
          </caption>
          <graphic xlink:href="https://html.scirp.org/file/1211981-rId17.jpeg?20261112115604" />
        </fig>
        <p>Thus, two types of quarry are identified: Type 1 quarries, where the material is dark in colour, not very compact and can be extracted simply by digging with a spade; these are characterised by their high content of SiO<sub>2</sub> and alkaline and alkaline earth elements (Na, Mg and K) and their low content of TiO<sub>2</sub>; and Type 2 quarries, where the material is well-compacted, dense and red in colour (<xref ref-type="fig" rid="fig3">Figure 3</xref>). Extracting these geomaterials requires pickaxes, considerable physical strength and deeper digging. The latter are characterised by their relative low content of SiO<sub>2</sub> and alkaline and alkaline earth elements (Na, Mg and K) and their relatively high content of TiO<sub>2</sub> (<bold>Tables 1</bold><bold>-</bold><bold>3</bold>).</p>
      </sec>
      <sec id="sec4dot2">
        <title>4.2. Clay Mineralogy</title>
        <p><bold>Kolleram</bold><bold>1</bold><bold>and</bold><bold>Garaké</bold><bold>quarries</bold></p>
        <p>The diffractograms of the various samples from the Kolleram 1 and Garaké quarries showed a crystalline clay phase of montmorillonite. The other minerals observed were quartz, albite and orthoclase (<xref ref-type="fig" rid="fig4">Figure 4</xref> and <xref ref-type="fig" rid="fig5">Figure 5</xref>).</p>
        <p><bold>Kolleram</bold><bold>2,</bold><bold>Menari</bold><bold>and</bold><bold>Yaouri</bold><bold>quarries</bold></p>
        <p>The diffractograms of the various samples from the Kolleram, Menari and Yaouri quarries showed a crystalline clay phase of kaolinite. The other minerals observed were quartz and muscovite (<xref ref-type="fig" rid="fig6">Figures 6-8</xref>).</p>
        <p>The Kolleram 1 and Garaké quarries are characterised by the presence of montmorillonite (<xref ref-type="fig" rid="fig9">Figure 9</xref>, <xref ref-type="fig" rid="fig10">Figure 10</xref>), indicating a confined environment with moderate alteration.</p>
        <fig id="fig4">
          <label>Figure 4</label>
          <caption>
            <p>Diffractogram of Sample Kolleram 1 (Upper level).</p>
          </caption>
          <graphic xlink:href="https://html.scirp.org/file/1211981-rId18.jpeg?20261112115604" />
        </fig>
        <fig id="fig5">
          <label>Figure 5</label>
          <caption>
            <p>Diffractogram of the Garaké sample (upper level).</p>
          </caption>
          <graphic xlink:href="https://html.scirp.org/file/1211981-rId19.jpeg?20261112115604" />
        </fig>
        <fig id="fig6">
          <label>Figure 6</label>
          <caption>
            <p>Diffractogram of Kolleram Sample 2 (Upper level).</p>
          </caption>
          <graphic xlink:href="https://html.scirp.org/file/1211981-rId20.jpeg?20261112115604" />
        </fig>
        <fig id="fig7">
          <label>Figure 7</label>
          <caption>
            <p>Diffractogram of the Menari sample (upper level).</p>
          </caption>
          <graphic xlink:href="https://html.scirp.org/file/1211981-rId21.jpeg?20261112115604" />
        </fig>
        <fig id="fig8">
          <label>Figure 8</label>
          <caption>
            <p>Diffractogram of the Yaouri sample (upper level).</p>
          </caption>
          <graphic xlink:href="https://html.scirp.org/file/1211981-rId22.jpeg?20261112115604" />
        </fig>
        <p>The Kolleram 2, Menari and Yaouri quarries are characterised by the presence of kaolinite. This clay mineral indicates that the formation environment is sufficiently drained and weathered. This explains their low silica and alkaline and alkaline earth elements content. In the study area, this corresponds to the alteration profiles.</p>
      </sec>
      <sec id="sec4dot3">
        <title>4.3. Typology of Quarries</title>
        <p>Based on the composition of major oxides and the identified clay minerals, the sampled quarries can be grouped into two different types:</p>
        <p>Montmorillonite’s quarries, rich in SiO<sub>2</sub> and alkaline and alkaline earth elements, whose material is dark in colour and not very hardened, found in basins. Given their lithology, consisting of superficial sedimentary horizons, these quarries are classified as superficial quarries (<xref ref-type="fig" rid="fig11">Figure 11</xref>).</p>
        <fig id="fig9">
          <label>Figure 9</label>
          <caption>
            <p>Graph of ACP individuals by site.</p>
          </caption>
          <graphic xlink:href="https://html.scirp.org/file/1211981-rId23.jpeg?20261112115605" />
        </fig>
        <fig id="fig10">
          <label>Figure 10</label>
          <caption>
            <p>Graph of PCA variables (major oxides and mineralogy).</p>
          </caption>
          <graphic xlink:href="https://html.scirp.org/file/1211981-rId24.jpeg?20261112115605" />
        </fig>
        <fig id="fig11">
          <label>Figure 11</label>
          <caption>
            <p>Graph of PCA Variables (quarry type).</p>
          </caption>
          <graphic xlink:href="https://html.scirp.org/file/1211981-rId25.jpeg?20261112115605" />
        </fig>
        <p>Kaolinite’s quarries, which are relatively low in silica and alkaline and alkaline earth elements and contain TiO<sub>2</sub>, are reddish in colour and consist of highly consolidated material; they are found in weathering profiles. These quarries, on the other hand, with a lithology consisting of deep alterite horizons overlain by a sedimentary layer, are classified as deep quarries (<xref ref-type="fig" rid="fig11">Figure 11</xref>).</p>
      </sec>
    </sec>
    <sec id="sec5">
      <title>5. Discussion</title>
      <p>The lithological analysis of the 10 lithological sections from the five quarries selected for this study reveals two types of horizons: superficial sedimentary horizons and deeper alterite horizons. Superficial sedimentary horizons are characteristic of depositional environments. In the study area, these environments correspond to the valley itself, the floodplains and the basins [<xref ref-type="bibr" rid="B9">9</xref>]. The decreasing grain size observed at the Kolleram 1 and Garaké quarries demonstrates that this is a fluvial system characterised by a gradual loss of energy. This confirms that the environment is more of a valley than a basin or a shallow water area [<xref ref-type="bibr" rid="B10">10</xref>]. Thus, the superficial position and sedimentary nature of these horizons explain their low degree of consolidation. This low degree of consolidation is mainly due to the fact that these recent sediments have not yet undergone prolonged diagenesis, the geological process that transforms loose sediment into solid rock under the influence of pressure and temperature [<xref ref-type="bibr" rid="B11">11</xref>]. As for the deep alterite horizons, their degree of consolidation is explained by their position and the alteration process. In a complete alteration profile, hardening does not occur uniformly; instead, vertical zoning is observed from top to bottom, due to greater pressure and also temperature. The weathering process, in this case by hydrolysis, increases the cohesion of the particles through cementation. This cementation results from the transformation of the primary minerals of the protolith (feldspars and micas) into secondary clay minerals. The characteristics of these secondary minerals act as a cementing agent for the disintegrated particles [<xref ref-type="bibr" rid="B12">12</xref>]. The geochemistry of the 30 samples collected shows that they are all composed predominantly of SiO<sub>2</sub> and Al<sub>2</sub>O<sub>3</sub>. This confirms that they are alumina silicates, like any clay material. However, the proportions of these two elements and the other major oxides varied from one sample to another and from one site to another. Indeed, these proportions of the various oxides are good indicators that enable the differentiation of these different geomaterials [<xref ref-type="bibr" rid="B1">1</xref>]-[<xref ref-type="bibr" rid="B13">13</xref>]. Thus, two groups emerge: one characterised by high levels of SiO<sub>2</sub> and alkaline and alkaline earth elements containing montmorillonite and being dark in colour; and another group relatively low in silica and alkaline and alkaline earth elements, containing TiO<sub>2</sub> and kaolinite, and being red in colour. For the first group, the high levels of these elements can be explained by the transport process. Indeed, at these quarries, <xref ref-type="fig" rid="fig11">Figure 11</xref> shows a strong correlation (angle 40˚, <xref ref-type="fig" rid="fig11">Figure 11</xref>) between these high proportions of alkaline and alkaline earth elements and the high proportions of quartz (SiO<sub>2</sub>). This confirms that this is an environment where alkaline earth elements and silica accumulate. These clay deposits are classified as secondary or reworked deposits (Yven B., 2007). Remobilized clays are clay-based geomaterials whose natural structure has been destroyed or altered by transport or mechanical actions, such as mixing. Upon deposition, these clays lose a significant proportion of their cohesion and shear strength compared with intact clays. They are also referred to as loose clays with low consolidation pressures [<xref ref-type="bibr" rid="B14">14</xref>] [<xref ref-type="bibr" rid="B15">15</xref>]. However, in quarries that are relatively poor in alkaline and alkaline earth elements and silica, strong correlations emerge between Al<sub>2</sub>O<sub>3</sub> and Fe<sub>2</sub>O<sub>3</sub>, as well as with TiO<sub>2</sub>. The presence of TiO<sub>2</sub> indicates that no transport has taken place and that the material was therefore formed in situ, consistent with a weathering profile. The proportions of Fe<sub>2</sub>O<sub>3</sub> account for the reddish colour of the material. It is well known that during the hydrolysis of rock formations, water leaches out silica (SiO<sub>2</sub>) and alkaline earth elements. It breaks down the original mineral, and the aluminium (Al) combines to form clays. The leaching of silica is called desiallitisation; it is a gradual process and can lead to complete leaching, in which case the term allitisation is used [<xref ref-type="bibr" rid="B16">16</xref>]. The montmorillonite found in the silica-rich samples (<xref ref-type="fig" rid="fig11">Figure 11</xref>) is a key indicator of climatic conditions, the depositional environment and the origin of the sediments. Montmorillonite forms in an environment characterised by poor or slow drainage—or even confined drainage—and an alkaline environment resulting from moderate chemical alteration of the parent rocks. This explains their high content of alkaline and alkaline earth elements (Mg<sup>2</sup><sup>+</sup>, K<sup>+</sup>, Na<sup>+</sup>). In the case of our study area, the formation environment would correspond well to lowland pools [<xref ref-type="bibr" rid="B5">5</xref>]. The kaolinite found in the second category of geomaterials indicates that this is an environment that has undergone strong, if not total, hydrolysis. Kaolinite is a mineral that has lost a proportion of its silica and many other elements, a sign of very extensive leaching of the parent rock. The residual alumina hydrates and silica react to form kaolinitic clays. This reaction is known as siallitisation. When this formation occurs in situ due to meteoric and/or hydrothermal fluids, it is referred to as a primary deposit. This is the case for the geomaterials from the Kolleram 2, Menari and Yaouri quarries in the Korama Valley. Kaolinite is thought to result from the alteration of feldspars in a sufficiently well-drained environment, whilst micas—ferromagnesian minerals—release a significant amount of iron in the form of ferric oxide. This is consistent with the high percentage of iron oxide in the materials from these quarries. This particularly high Fe<sub>2</sub>O<sub>3</sub> content accounts for the reddish colour observed in these samples [<xref ref-type="bibr" rid="B17">17</xref>]. All these results have made it possible to determine a typology of the quarries sampled. The Kollerem 1 and Garaké quarries are classified as surface quarries. These are quarries containing montmorillonite-rich clay geomaterials, which are rich in silica and alkaline and alkaline earth elements, dark in colour and not very consolidated. The Kolleram 2, Menari and Yaouri quarries are classified as deep quarries. These consist of kaolinite-rich clay geomaterials, which are relatively low in silica and alkaline and alkaline earth elements, more consolidated and red in colour.</p>
    </sec>
    <sec id="sec6">
      <title>6. Conclusion</title>
      <p>The results of this study indicate that the 30 samples from five (05) quarries—Kolleram 1, Garaké, Kolleram 2, Menari and Yaouri—are aluminosilicates, with varying proportions of major oxides, and are blackish in colour (Kolleram 1, Garaké) and red in colour (Kolleram 2, Menari and Yaouri). Two types of horizons are observed in the lithology of these quarries: shallow, slightly compacted sedimentary horizons and deeper, more compacted alterite horizons. The geochemistry of the major oxides and clay minerals in the various samples from the five quarries has enabled a typology of these quarries to be established. Two types of quarry emerge: the surface quarries—Kolleram 1 and Garaké—which contain montmorillonite-rich clay geomaterials, high in silica and alkaline and alkaline earth elements, dark in colour and relatively unconsolidated; and the deep quarries—Kolleram 2, Menari and Yaouri, which are quarries containing kaolinite-based clay geomaterials, relatively low in silica and alkaline and alkaline earth elements, more compacted and reddish in colour. These results make it possible to identify suitable clay geomaterials for various forms of utilisation.</p>
    </sec>
    <sec id="sec7">
      <title>Acknowledgements</title>
      <p>We would like to express our gratitude to the Ministry of Research and Technological Innovation for its support, in particular through the Fund for Research and Technological Innovation (FARSIT), which is funding this research; and to André Salifou University in Zinder for providing the field vehicle.</p>
    </sec>
    <sec id="sec8">
      <title>Author Contributions</title>
      <p>Conceptualization, Abdoul Moumouni Adamou Laouali Malam and Abdoulkader Moussa Issaka; methodology, Abdoulkader Moussa Issaka, Bouba Hassane and Dia Hantchi Karimou; software, Oumarou Faroukou Habibou Maman and Nana Mariama Habibou Maman; validation, Abdoulkader Moussa Issaka, Souley Harouna; formal analysis, Abdoul Moumouni Adamou Laouali Malam and Abdoulkader Moussa Issaka; investigation, Abdoul Moumouni Adamou Laouali Malam and Abdoulkader Moussa Issaka; resources, Research and Technological Innovation Support Fund of the Ministry of Research and Technological Innovation; data curation, Oumarou Faroukou Habibou Maman and Nana Mariama Habibou Maman; writing—original draft preparation, Abdoulkader Moussa Issaka; writing—review and editing, Bouba Hassane; visualization, Abdoul Moumouni Adamou Laouali Malam; supervision, Abdoulkader Moussa Issaka; project administration, Ministry of Research and Technological Innovation; funding acquisition, Research and Technological Innovation Support Fund of the Ministry of Research and Technological Innovation. All authors have read and agreed to the published version of the manuscript.</p>
    </sec>
  </body>
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