<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing with OASIS Tables v3.0 20080202//EN" "journalpub-oasis3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0" article-type="research-article"><?xmltex \bartext{Hydrology of Large River Basins of Africa}?>
  <front>
    <journal-meta><journal-id journal-id-type="publisher">PIAHS</journal-id><journal-title-group>
    <journal-title>Proceedings of the International Association of Hydrological Sciences</journal-title>
    <abbrev-journal-title abbrev-type="publisher">PIAHS</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Proc. IAHS</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">2199-899X</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/piahs-384-75-2021</article-id><title-group><article-title>Assessment of hydrological factors affecting shallow groundwater chemistry
in the most urbanized area<?xmltex \hack{\break}?> of the coastal sedimentary basin of Togo</article-title><alt-title>Assessment of hydrological factors affecting shallow groundwater chemistry</alt-title>
      </title-group><?xmltex \runningtitle{Assessment of hydrological factors affecting shallow groundwater chemistry}?><?xmltex \runningauthor{K. V. Akpataku et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff3">
          <name><surname>Akpataku</surname><given-names>Kossitse Venyo</given-names></name>
          <email>avenyo@gmail.com</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Gnazou</surname><given-names>Masamaeya D. T.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Agbefu Nomesi</surname><given-names>Yao Tse</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Nambo</surname><given-names>Phintè</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Doni</surname><given-names>Komi</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Bawa</surname><given-names>Limam Moctar</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Djaneye-Boundjou</surname><given-names>Gbandi</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Laboratory of Applied Hydrology and Environment, University of Lomé,
Togo, BP 1515, Lomé, Togo</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Agency of Water and Sanitation for Africa, Office of Togo, BP 3689,
Lomé, Togo</institution>
        </aff>
        <aff id="aff3"><label>a</label><institution>current address: Department of Chemistry, University of Kara, Togo, BP 404,
Kara, Togo</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Kossitse Venyo Akpataku (avenyo@gmail.com)</corresp></author-notes><pub-date><day>16</day><month>November</month><year>2021</year></pub-date>
      
      <volume>384</volume>
      <fpage>75</fpage><lpage>80</lpage>
      
      <permissions>
        <copyright-statement>Copyright: © 2021 Kossitse Venyo Akpataku et al.</copyright-statement>
        <copyright-year>2021</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <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 xlink:href="https://piahs.copernicus.org/articles/384/75/2021/piahs-384-75-2021.html">This article is available from https://piahs.copernicus.org/articles/384/75/2021/piahs-384-75-2021.html</self-uri><self-uri xlink:href="https://piahs.copernicus.org/articles/384/75/2021/piahs-384-75-2021.pdf">The full text article is available as a PDF file from https://piahs.copernicus.org/articles/384/75/2021/piahs-384-75-2021.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d1e138">The project to reduce environmental and health risks related to the activity of boreholes water sellers in Lomé (in French PRRESAF) was implemented to contribute to the guarantee of public health.  One of its objectives is to improve the hydrological understanding of the shallow Continental Terminal (CT) aquifer tapped by water sellers. It is a vital water resource in the coastal sedimentary  extending from Ghana to Nigeria. The results
presented here are part of this project and aim at assessing the
hydrological factors controlling CT groundwater quality and chemistry using
principal component analysis (PCA), hierarchical cluster analysis (HCA), and
GIS. High-resolution sampling campaigns for major ions water quality
analyses were performed to improve the accuracy of factors assessment. The
results showed  that groundwater is predominantly acidic with varying degrees
of mineralization ranging from very soft to brackish waters. The integration of multivariate results to GIS allows classifying samples into five main groups. They revealed the probable recharge and discharge areas, associated hydrochemical evolution along flow paths, and areas under the high impact of land-use dynamics, wastewaters/sewage infiltration, and interactions with surface water systems. This study appears useful for managing boreholes' water sellers' activity relative to the integrity of groundwater resources and public health.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e150">The coastal town of Lomé is located on the sedimentary basin of the Gulf
of Guinea, namely the Keta basin that extends from Ghana to Nigeria. Like in
other African cities, there is a galloping growth of the population with a
rate of 6.1  % per year and a tremendous socio-economic development these
last years (BCR/DGSN/MPRPDAT, 2011; MPT-Togo, 2013). Unfortunately,
sanitation
and drinking water supply systems have not kept pace with the city's
expansion. Septic tanks and sumps are not built according to the rules, and
uncollected wastes become uncontrolled rubbish dumps. In general, domestic
and industrial wastewaters are not treated before being released into the
environment. Runoff from these environments is drained into natural storm
basins, some developed as artificial storm pools and connected to the lagoon
system (MPT-Togo, 2013; Ayah et al., 2015). All these features constitute
potential sources of high contamination of the Continental Terminal shallow
aquifer, the primary and overexploited resource for drinking water in
Lomé (Alfa-Sika Mande et al., 2012; Gnazou et al., 2017). In addition to
formal exploitation by the Togolese Water Company (TdE) which cannot cover
the population's needs, the past decade has witnessed a proliferation of
informal private boreholes. Despite regulatory texts, water's
physicochemical or bacteriological quality is not usually insured before
human consumption. In this context, the project for the reduction of
environmental and health risks related to the activity of sellers of
boreholes water in
the city of Lomé (in French PRRESAF) was implemented in order to
contribute to the guarantee of public health. One of its objectives is to
improve the hydrological understanding of the shallow<?pagebreak page76?> Continental Terminal
(CT) aquifer tapped by water sellers. As part of the project mentioned
above, this study aims at assessing the relative importance of hydrological
factors affecting the CT shallow groundwater chemistry. A multivariate
statistical analysis approach integrated with a Geographical Information
System (GIS) was applied to a dataset obtained from the physicochemical
characterization of groundwater.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Study area</title>
      <p id="d1e161">Lomé and its suburban areas lay between the latitudes <inline-formula><mml:math id="M1" display="inline"><mml:mrow><mml:mn mathvariant="normal">6</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:msup><mml:mn mathvariant="normal">08</mml:mn><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>
and <inline-formula><mml:math id="M2" display="inline"><mml:mrow><mml:mn mathvariant="normal">6</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:msup><mml:mn mathvariant="normal">18</mml:mn><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> N and the longitudes <inline-formula><mml:math id="M3" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:msup><mml:mn mathvariant="normal">5</mml:mn><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M4" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:msup><mml:mn mathvariant="normal">23</mml:mn><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> E (Fig. 1). It covers an area of around 360 km<inline-formula><mml:math id="M5" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> with 1.6 million
inhabitants in 2010 (BCR/DGSCN/MPRPDAT, 2011).</p>
      <p id="d1e241">The study area consists of the Plateau of Agoenyive (20 to 67 m a.s.l.) from
the Central part toward the North, the narrow littoral cordon in the South,
and the alluvial plain of Zio in the East with an altitude lower than 20 m a.s.l. The climate is subequatorial Guinean type, characterized by two rainy
seasons (April to July and September to October) and two dry seasons (July
to August and November to March) with an average rainfall of 900 mm/year.
The drainage network is part of the lake Togo Basin in connection with the
Zio River and the lagoon system of Lomé. The geological context of the
study area integrates that of the post-Paleozoic sedimentary series of the
Gulf of Guinea (Ghana-Togo-Benin-Nigeria) (Sylvain et al., 1986; Da Costa et
al., 2013). The Geological north-south cross-section of
Cretaceous-Quaternary sediments is presented in Fig. 1. The
sedimentary basin counts four aquifers. They are linked to Quaternary
formations, the sands of the Continental Terminal, the limestone and sand of
the Palaeocene, and the sand and sandstone of the Maastrichtian (Gnazou et
al., 2017). The Continental Terminal (CT) aquifer is the main one exploited
by boreholes water sellers and private boreholes for domestic purposes. With
an NW-SE groundwater flow direction, the average transmissivity of CT
aquifer is around 5 to <inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:mn mathvariant="normal">8</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M7" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>/s (Gnazou et al., 2017). The
mean depth of informal water sellers boreholes is around 30 m below ground
level (m b.g.l.). In the south and east parts, the CT aquifer is influenced by
the Quaternary sediments aquifer, where the average depth of boreholes and
wells is 10 m with a static level close to ground level.</p>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Methods</title>
      <p id="d1e279">Nighty six boreholes were monitored in 2015 and 2016 for physicochemical
characterization. Parameters such as temperature, pH, electrical
conductivity, TDS, and dissolved oxygen are measured in situ using a portable
multimeter (WTW, Instruments). Major and minor ions analyses were performed
using the French Association of Standardization (AFNOR) methods (Rodier et
al., 2009). Results are validated for ionic balance between <inline-formula><mml:math id="M8" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>10 % and <inline-formula><mml:math id="M9" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>10 %. The factor analysis based on the Principal Components (PCA) and the
hierarchical cluster analysis ACH based on the Ward aggregation method and
the measurement of similarity by Euclidean distances are performed as
described by Cloutier et al. (2008) using STATISTICA software. ArcGIS
software was used for spatial analysis and holistic interpretations.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Figure}?><label>Figure 1</label><caption><p id="d1e298">Geological north-south cross-section of Cretaceous-Quaternary
sediments (modified after BRGM, 1982 and Sylvain et al., 1986; in Helstrup,
2006 and Gnazou et al., 2011).</p></caption>
        <?xmltex \igopts{width=412.564961pt}?><graphic xlink:href="https://piahs.copernicus.org/articles/384/75/2021/piahs-384-75-2021-f01.png"/>

      </fig>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e310">Results of the factor analysis. Bold values represent loadings <inline-formula><mml:math id="M10" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula>.7.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.78}[.78]?><oasis:tgroup cols="18">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:colspec colnum="9" colname="col9" align="right"/>
     <oasis:colspec colnum="10" colname="col10" align="right"/>
     <oasis:colspec colnum="11" colname="col11" align="right"/>
     <oasis:colspec colnum="12" colname="col12" align="right"/>
     <oasis:colspec colnum="13" colname="col13" align="right"/>
     <oasis:colspec colnum="14" colname="col14" align="right"/>
     <oasis:colspec colnum="15" colname="col15" align="left"/>
     <oasis:colspec colnum="16" colname="col16" align="right"/>
     <oasis:colspec colnum="17" colname="col17" align="right"/>
     <oasis:colspec colnum="18" colname="col18" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">pH</oasis:entry>
         <oasis:entry colname="col3">TDS</oasis:entry>
         <oasis:entry colname="col4">Ca<inline-formula><mml:math id="M11" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">Mg<inline-formula><mml:math id="M12" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6">Na<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7">K<inline-formula><mml:math id="M14" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8">HCO<inline-formula><mml:math id="M15" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col9">Cl<inline-formula><mml:math id="M16" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col10">SO<inline-formula><mml:math id="M17" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col11">NO<inline-formula><mml:math id="M18" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col12">Fe<inline-formula><mml:math id="M19" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">tot</mml:mi></mml:msub></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col13">NH<inline-formula><mml:math id="M20" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col14">O<inline-formula><mml:math id="M21" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col15"/>
         <oasis:entry colname="col16">Eigenvalues</oasis:entry>
         <oasis:entry colname="col17">% variance</oasis:entry>
         <oasis:entry colname="col18">% cumul</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Factor 1</oasis:entry>
         <oasis:entry colname="col2">0.03</oasis:entry>
         <oasis:entry colname="col3"><bold>0.97</bold></oasis:entry>
         <oasis:entry colname="col4"><bold>0.82</bold></oasis:entry>
         <oasis:entry colname="col5"><bold>0.93</bold></oasis:entry>
         <oasis:entry colname="col6"><bold>0.91</bold></oasis:entry>
         <oasis:entry colname="col7">0.5</oasis:entry>
         <oasis:entry colname="col8">0.17</oasis:entry>
         <oasis:entry colname="col9"><bold>0.95</bold></oasis:entry>
         <oasis:entry colname="col10"><bold>0.73</bold></oasis:entry>
         <oasis:entry colname="col11">0.05</oasis:entry>
         <oasis:entry colname="col12"><inline-formula><mml:math id="M22" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.07</oasis:entry>
         <oasis:entry colname="col13">0.22</oasis:entry>
         <oasis:entry colname="col14"><inline-formula><mml:math id="M23" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.01</oasis:entry>
         <oasis:entry colname="col15"/>
         <oasis:entry colname="col16">5.8</oasis:entry>
         <oasis:entry colname="col17">45</oasis:entry>
         <oasis:entry colname="col18">45</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Factor 2</oasis:entry>
         <oasis:entry colname="col2"><bold>0.65</bold></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M24" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.07</oasis:entry>
         <oasis:entry colname="col4">0.2</oasis:entry>
         <oasis:entry colname="col5">0.07</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M25" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.21</oasis:entry>
         <oasis:entry colname="col7">0.06</oasis:entry>
         <oasis:entry colname="col8"><bold>0.62</bold></oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M26" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.16</oasis:entry>
         <oasis:entry colname="col10">0.06</oasis:entry>
         <oasis:entry colname="col11"><inline-formula><mml:math id="M27" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula><bold>0.84</bold></oasis:entry>
         <oasis:entry colname="col12"><bold>0.67</bold></oasis:entry>
         <oasis:entry colname="col13"><inline-formula><mml:math id="M28" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.02</oasis:entry>
         <oasis:entry colname="col14">0.27</oasis:entry>
         <oasis:entry colname="col15"/>
         <oasis:entry colname="col16">2.5</oasis:entry>
         <oasis:entry colname="col17">20</oasis:entry>
         <oasis:entry colname="col18">65</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Factor 3</oasis:entry>
         <oasis:entry colname="col2"><bold>0.62</bold></oasis:entry>
         <oasis:entry colname="col3">0.18</oasis:entry>
         <oasis:entry colname="col4">0.27</oasis:entry>
         <oasis:entry colname="col5">0.1</oasis:entry>
         <oasis:entry colname="col6">0.11</oasis:entry>
         <oasis:entry colname="col7"><bold>0.7</bold></oasis:entry>
         <oasis:entry colname="col8"><bold>0.68</bold></oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M29" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.03</oasis:entry>
         <oasis:entry colname="col10">0.4</oasis:entry>
         <oasis:entry colname="col11">0.18</oasis:entry>
         <oasis:entry colname="col12"><inline-formula><mml:math id="M30" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.03</oasis:entry>
         <oasis:entry colname="col13"><bold>0.73</bold></oasis:entry>
         <oasis:entry colname="col14"><inline-formula><mml:math id="M31" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula><bold>0.71</bold></oasis:entry>
         <oasis:entry colname="col15"/>
         <oasis:entry colname="col16">1.5</oasis:entry>
         <oasis:entry colname="col17">12</oasis:entry>
         <oasis:entry colname="col18">77</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Results and discussions</title>
      <p id="d1e800">The pH values ranged between 4 and 8, with an average of 5.8 <inline-formula><mml:math id="M32" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.7
indicating the predominance of acidic water types. The electrical
conductivity values vary between 234 and 6250 <inline-formula><mml:math id="M33" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>s/cm, and the
corresponding TDS values range from 180 to 4738 mg/L with averages of 1523 <inline-formula><mml:math id="M34" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1132 <inline-formula><mml:math id="M35" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>s/cm and 1150 <inline-formula><mml:math id="M36" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 863 mg/L respectively. No
significant differences (<inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula>.05) were observed between the
concentrations of chemical species during sampling periods suggesting no
significant short-term variation of groundwater chemistry during the two
hydrological years. The Durov Diagram presented in Fig. 2a shows
that most of the samples exhibit Na-Cl water types.</p>
      <p id="d1e853">The principal component analysis (PCA) allows extracting three (3) variables
which explain 77 % of the total variance in the dataset (Table
1). Factor 1 accounts for 45 % of the total variance with high positive
loadings (<inline-formula><mml:math id="M38" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 0.7) in TDS, Ca<inline-formula><mml:math id="M39" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula>, Mg<inline-formula><mml:math id="M40" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula>, Na<inline-formula><mml:math id="M41" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>,
Cl<inline-formula><mml:math id="M42" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula>, and SO<inline-formula><mml:math id="M43" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mn mathvariant="normal">2</mml:mn></mml:msubsup></mml:mrow></mml:math></inline-formula>. Since Cl<inline-formula><mml:math id="M44" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> and SO<inline-formula><mml:math id="M45" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> are
ubiquitous in the saline hydro system (Appelo and Postma, 2005), Factor 1 is
defined as salinity. The predominance of saline groundwater samples suggests
that the conjunction of factors such as dissolution of salts originated from
sea spray and marine aerosols deposition, seawater intrusion, evaporation,
mixing with brackish water from storm pools, and the lagoon system, along
with anthropogenic contamination. They exert substantial control over the
overall mineralization of groundwater.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e944"><bold>(a)</bold> Durov diagram of samples and <bold>(b)</bold> Schoeller diagram of the
median chemical composition of each CHA group <bold>(b, c)</bold> Factorial scores for
samples, <bold>(e)</bold> Spatial distribution of groups of samples. The built-up area is
extracted from a SPOT-6 2015-12-08 satellite image (Copyright © AIRBUS Defence &amp; Space).</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://piahs.copernicus.org/articles/384/75/2021/piahs-384-75-2021-f02.png"/>

      </fig>

      <p id="d1e965">Factor 2 accounts for 20 % of the total variance with high positive
loadings in Fe<inline-formula><mml:math id="M46" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">total</mml:mi></mml:msub></mml:math></inline-formula>, pH, and HCO<inline-formula><mml:math id="M47" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and a strong negative
loading for the NO<inline-formula><mml:math id="M48" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>. Iron concertation high as 4.4 mg/L was found
in the lower Paleocene aquifer and correlated with turbidity, probably due
to release from confining clay particles (Gnazou et al., 2011). In this
study, concentrations high as 5 mg/L are found in the upper shallow CT
aquifer. Their association with pH and HCO<inline-formula><mml:math id="M49" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> suggests a reductive
dissolution of iron oxides by organic matter in acidic water following the
Reaction (1) (Appelo and Postma, 2005).

          <disp-formula id="Ch1.R1" content-type="numbered reaction"><label>R1</label><mml:math id="M50" display="block"><mml:mrow><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CH</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mo>+</mml:mo><mml:mrow class="chem"><mml:mn mathvariant="normal">4</mml:mn><mml:mi mathvariant="normal">FeOOH</mml:mi></mml:mrow><mml:mo>+</mml:mo><mml:mrow class="chem"><mml:mn mathvariant="normal">7</mml:mn><mml:msup><mml:mi mathvariant="normal">H</mml:mi><mml:mo>+</mml:mo></mml:msup></mml:mrow><mml:mo>→</mml:mo><mml:mrow class="chem"><mml:mn mathvariant="normal">4</mml:mn><mml:msup><mml:mi mathvariant="normal">Fe</mml:mi><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:mrow><mml:mo>+</mml:mo><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">HCO</mml:mi><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow><mml:mo>+</mml:mo><mml:mrow class="chem"><mml:mn mathvariant="normal">6</mml:mn><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:mrow></mml:math></disp-formula>
        This reductive condition can explain the negative loading for
NO<inline-formula><mml:math id="M51" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> which exists under oxic conditions. Factor 2 is then defined
as the redox factor. In general, reduction conditions become important with
depth, but they depend on recharge regime and land-use change (Lee et al.,
2008).</p>
      <?pagebreak page77?><p id="d1e1094">Factor 3 explains 12 % of the variance with negative loadings in dissolved
oxygen (O<inline-formula><mml:math id="M52" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and positive loadings in pH, HCO<inline-formula><mml:math id="M53" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>,
NH<inline-formula><mml:math id="M54" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and K<inline-formula><mml:math id="M55" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>, suggesting high consumption of dissolved oxygen
through the oxidation of anthropogenic organic matter. High NH<inline-formula><mml:math id="M56" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>
concentrations (<inline-formula><mml:math id="M57" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 30 mg/L) are measured, indicating contamination
from pit latrines, sewage, septic tank, and dumpsites as in other
Sub-Saharan big cities where ammonium concentrations up to 60 mg/L were
determined (Lapworth et al., 2017). Cation exchange could occur between
NH<inline-formula><mml:math id="M58" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> released in aqueous phases, and K<inline-formula><mml:math id="M59" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> fixed on aquifer
materials (Appelo and Postma, 2005). Therefore, Factor 3 is defined as
indirect recharge from wastewaters.</p>
      <p id="d1e1183">The ACH allows distinguishing five (5) main samples groups which
characteristics are presented in Fig. 2. Except for three boreholes
(P56, P73, and P75), the remaining points maintained their membership in the
ACH groups, irrespective of the sampling campaigns. The groups obtained can
then strongly describe the spatial evolution of water chemistry. The
graphical representation of the median chemical composition of groundwater
in each group is presented through the Schoeller diagram (Fig. 3b). There is
a gradual increase of TDS and ions contents following G5 <inline-formula><mml:math id="M60" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> G3 <inline-formula><mml:math id="M61" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> G2 <inline-formula><mml:math id="M62" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> G4 <inline-formula><mml:math id="M63" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> G1. The segments connecting major ions
concentrations are quite parallel. The similar slope suggests similar
geochemical processes, while the hydrochemical evolution along flow paths
may explain the gradual increase of TDS. The spatial distribution pattern of
groups (Fig. 2e) shows that the main direction from Group 5 to
Group 1 corresponds to groundwater flow in the NW-SE direction. The segments
connecting NO<inline-formula><mml:math id="M64" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, DO, and NH<inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> are not parallel,
suggesting that the impacts of anthropogenic contamination and land-use
change on groundwater chemistry are not uniform in the study area. Group 5
samples (median TDS of 348 mg/L) with very low factorial scores are located
in the surrounding agriculture areas with isolated residences. These samples
indicate zones where groundwater chemistry is controlled by a copious
infiltration of rainwater, sea spray, and dissolution of surface salts.
Groups 2, 3, and 4 samples represent part of the groundwater system under
intermediate evolution along flow paths with gradual increase of salinity
and variable degree of NO<inline-formula><mml:math id="M66" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> contamination. Compared to Group 5,
Group 2 samples are highly influenced by anthropogenic contamination due to
increased population density (Fig. 2e). Group 4 samples are located
in the historical urbanized areas of the city (Fig. 2e). These
samples with very low DO and high NH<inline-formula><mml:math id="M67" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> recorded high scores for
Factor 3 (Fig. 2d), indicating low direct recharge from
precipitation<?pagebreak page78?> against an important infiltration of wastewaters from septic
tanks and sewer and mixing with the polluted water from the lagoon system.</p>
      <p id="d1e1263">Low direct recharge may be explained by soil compactness due to urbanization
and the high density of the population. Group 3 samples with the highest pH
values and lowest NO<inline-formula><mml:math id="M68" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> concentration display between Na-Cl and
Ca-Mg-HCO<inline-formula><mml:math id="M69" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> water types end members (Fig. 2a). They recorded
high scores for Factor 2, suggesting iron oxides and nitrate reduction by
organic matter due to the lithology's detrital<?pagebreak page79?> and sand clayey
characteristics (Da Costa et al., 2013). Moreover, the localization of most
of these samples in or near the flooding ground of Zio River (Fig. 2e) may suggest interactions with freshwater from Zio River and the upper
Quaternary sediments along with denitrification processes. Group 1 samples
recorded the highest salinity and present Na-Cl and Ca/Mg-Cl water types.
Na-Cl water type with advanced hydrochemical evolution flow toward the
central part of the alluvial plain of Zio River where Na<inline-formula><mml:math id="M70" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> ions in water
are exchanged with Ca<inline-formula><mml:math id="M71" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> and Mg<inline-formula><mml:math id="M72" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> fixed on sediments. Reverse
cation exchange process were highlighted by the points displaying along the
line of slope <inline-formula><mml:math id="M73" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1 in the diagram (Na<inline-formula><mml:math id="M74" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>-Cl<inline-formula><mml:math id="M75" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula>) vs (Ca<inline-formula><mml:math id="M76" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mo>+</mml:mo></mml:mrow></mml:math></inline-formula>
Mg<inline-formula><mml:math id="M77" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula>-HCO<inline-formula><mml:math id="M78" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>-SO<inline-formula><mml:math id="M79" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>).</p>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Conclusions</title>
      <p id="d1e1410">This study showed that shallow groundwater in the coastal city of Lome is
predominantly acidic and Na-Cl water types with mineralization ranging from
soft waters to brackish ones. The PCA allowed identifying three main factors
accounting for nearly 77 % of the total variance in the water chemistry
dataset. The first factor is salinity and results from marine aerosol, sea
spray, sea intrusion, contamination from saline lagoon system, increasing
salts dissolution along flow paths, and 140 anthropogenic contamination. The
second factor related to redox conditions depends on lithology, recharge
regime, and land use. The third factor, defined as indirect recharge from
wastewaters, has revealed the impact of sanitation conditions on groundwater
chemistry in the historic central part of the city. The hierarchical
clusters analysis allows dividing samples into five main groups according to
the hydrochemical evolution in the NW-SE direction of groundwater flow. In
the Zio River alluvial plain, groundwater evolves toward Na-Cl <inline-formula><mml:math id="M80" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> HCO<inline-formula><mml:math id="M81" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and
Ca-Mg-HCO<inline-formula><mml:math id="M82" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> water types due to mixing with fresh water from the surface
and upper Quaternary sediments. These results appear helpful for
understanding the evolution of the shallow groundwater chemistry in the
coastal sedimentary basin of Togo.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d1e1442">Data can be obtained by contacting the
authors.</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e1448">KVA, MDTG, LMB, and GDB conceived and designed the research; All authors contributed to research, activities, and paper writing</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e1454">The contact author has declared that neither they nor their co-authors have any competing interests.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d1e1460">Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p>
  </notes><notes notes-type="sistatement"><title>Special issue statement</title>

      <p id="d1e1466">This article is part of the special issue “Hydrology of Large River Basins of Africa”. It is a result of the 4th International Conference on the “Hydrology of the Great Rivers of Africa”, Cotonou, Benin, 13–20 November 2021.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e1472">The Authors thank Sivapalan Young Scientists Travel Awards (SYSTA), IAHS, and the organizers of Friend Water's 4th International Conference on the Hydrology of the Great Rivers of Africa</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e1477">This research has been supported by the Delegation of the European Union to Togo and the Agency of Water and Sanitation for Africa, Office of Togo (grant no. DCI-NSAPVD/2013/308-062).</p>
  </notes><ref-list>
    <title>References</title>

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