<?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">
    ojss
   </journal-id>
   <journal-title-group>
    <journal-title>
     Open Journal of Soil Science
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    2162-5360
   </issn>
   <issn publication-format="print">
    2162-5379
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/ojss.2025.152008
   </article-id>
   <article-id pub-id-type="publisher-id">
    ojss-140991
   </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>
    Determination of Organic Matter and Trace Metals Elements (As, Sb, Cd, Hg, Ni, Pb, Cr, Zn) in the Soils of the Banks of Watercourses in Brazzaville City (Republic of Congo)
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Mbianda Nfong-Ya Orline
      </surname>
      <given-names>
       Lesley
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref> 
     <xref ref-type="aff" rid="aff3"> 
      <sup>3</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Nzila Jean de
      </surname>
      <given-names>
       Dieu
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff3"> 
      <sup>3</sup>
     </xref> 
     <xref ref-type="aff" rid="aff4"> 
      <sup>4</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Louzayadio Mvouezolo Raison
      </surname>
      <given-names>
       Félicien
      </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>
       Bonazaba Milandou Longin Justin
      </surname>
      <given-names>
       Clair
      </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>
       Nguelet-Moukaha
      </surname>
      <given-names>
       Isidore
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff5"> 
      <sup>5</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Wando Georgy
      </surname>
      <given-names>
       Patience
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff6"> 
      <sup>6</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Ouamba Jean
      </surname>
      <given-names>
       Maurille
      </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>
       Aina Martin
      </surname>
      <given-names>
       Pépin
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aLaboratoire des Sciences et Techniques de l’Eau et de l’Environnement (LSTEE), Institut National de l’Eau (INE), Université d’Abomey-Calavi (UAC), Cotonou, Bénin
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aUnité de Chimie du Végétal et de la Vie, Faculté des Sciences et Techniques, Université Marien Ngouabi, Brazzaville, Republic of the Congo
    </addr-line> 
   </aff> 
   <aff id="aff3">
    <addr-line>
     aLaboratoire de Recherche en Géosciences et Environnement (LARGEN), Ecole Normal Supérieure (ENS), Université Marien Ngouabi, Brazzaville, Republic of the Congo
    </addr-line> 
   </aff> 
   <aff id="aff4">
    <addr-line>
     aÉcole Normale Supérieure (ENS), Brazzaville, Republic of the Congo
    </addr-line> 
   </aff> 
   <aff id="aff5">
    <addr-line>
     aInstitut National de Recherche Forestière, Université Marien Ngouabi, Brazzaville, Republic of the Congo
    </addr-line> 
   </aff> 
   <aff id="aff6">
    <addr-line>
     aFaculté des Lettres, des Arts, des Lettres et des Sciences Humaines, Université Marien Ngouabi, Brazzaville, Republic of the Congo
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     27
    </day> 
    <month>
     01
    </month>
    <year>
     2025
    </year>
   </pub-date> 
   <volume>
    15
   </volume> 
   <issue>
    02
   </issue>
   <fpage>
    156
   </fpage>
   <lpage>
    172
   </lpage>
   <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>
    This work focused on determining the physico-chemical characteristics (pH, carbon and nitrogen) and trace metal elements (TMEs) content (As, Sb, Cd, Hg, Ni, Pb, Cr, Zn) of soils in the Brazzaville city. Soil samples were taken from a depth of 0 to 20 cm using a hand auger on both banks of five tributaries of the Congo River (Djoué, Mfilou, Mfoa, Tsiémé, Djiri) that flow through the city of Brazzaville. 90 sampling points were defined, with 3 points 250 m apart on the banks and located, for each river, at three sites: upstream, midstream and downstream. Finally, 15 composite samples representative of the study area were taken. The average pH values of the water varied between 6.5 and 7.5. These pH values show that the soils studied are neutral. Total carbon content varied between 0.7% (Djiri) and 1.6% (Djoué). Total nitrogen content ranged from 0.08% (Djiri) to 0.12% (Djoué). TMEs contents varied from 0.5 to 1.8 mg/kg for Sb, from 0.5 to 2.5 mg/kg for As, from 0.1 to 0.18 mg/kg for Cd, from 4.2 to 11.3 mg/kg for Cr, from 0.07 to 0.27 mg/kg for Hg, from 0.7 to 2.4 mg/kg for Ni, from 0 to 158 mg/kg for Pb and from 16 to 105 mg/kg for Zn. The lowest TMEs levels were observed in the soils of the Djiri river, while the highest levels were observed in the soils of the Djoué and Tsiémé rivers. The ANOVA and Bonferroni test did not show significant differences in the means of the parameters measured (p &gt; 0.05). The TMEs levels were below the accepted standards (NF U44-041), with the exception of Pb, which had high levels downstream of the Djoué. According to the pollution index values calculated using soil TME content, the soils on the banks of the Djoué river are considered polluted, while those on the banks of the Tsiémé river are moderately polluted, those on the banks of the Mfoa and Mfilou rivers are slightly polluted, and the soils on the banks of Djiri river are unpolluted.
   </abstract>
   <kwd-group> 
    <kwd>
     Carbon
    </kwd> 
    <kwd>
      Nitrogen
    </kwd> 
    <kwd>
      Trace Metal Elements
    </kwd> 
    <kwd>
      Soil
    </kwd> 
    <kwd>
      Brazzaville
    </kwd> 
    <kwd>
      Congo
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>
    <xref ref-type="bibr" rid="scirp.140991-"></xref>Human activity generates pollution in several forms. One of these is the pollution of urban areas through the discharge of untreated wastewater, hydrocarbons, solvents, heavy metals, solid particles or mixtures of these products <xref ref-type="bibr" rid="scirp.140991-1">
     [1]
    </xref>. Soil is considered to be part of the upper layer of the earth’s crust, composed of mineral particles, organic matter water, air and organisms <xref ref-type="bibr" rid="scirp.140991-2">
     [2]
    </xref>. It is the site of an intense exchange of matter and energy between air, water and rocks. As part of the ecosystem, soil plays a key role in global matter cycles <xref ref-type="bibr" rid="scirp.140991-3">
     [3]
    </xref>. As an interface, it plays key roles in the environment: as a sink or source of greenhouse gases, as a filter for many contaminants, as a flood buffer for rainwater, etc. <xref ref-type="bibr" rid="scirp.140991-4">
     [4]
    </xref>. Soil is also a major reservoir of carbon and nitrogen, playing a major role in offsetting losses due to greenhouse gas emissions. Soil carbon and nitrogen are closely linked to soil organic matter (SOM), which gives the soil physico-chemical properties that promote the sustainable functioning of ecosystems <xref ref-type="bibr" rid="scirp.140991-5">
     [5]
    </xref>. With the demographic growth that the Brazzaville city has experienced in recent years, there has been a change in land use that can have various consequences for modifications in soil carbon stocks. The consequences of this strong demographic expansion are soil stripping through the destruction of vegetation, disruption of the water cycle by modifying flows and channels, and land degradation through gullying and surface stripping associated with water erosion <xref ref-type="bibr" rid="scirp.140991-6">
     [6]
    </xref>. As an attribute of urban environments, soil is the main sink for metals and other pollutants. The anthropogenic origins of these potentially toxic metals, such as lead (Pb), zinc (Zn), copper (Cu) and arsenic (As), are mainly attributed to road traffic, vehicle emissions, brake and tire wear and industrial street activities <xref ref-type="bibr" rid="scirp.140991-7">
     [7]
    </xref>. For this reason, it is necessary to characterize the soil in order to predict or understand the behaviour of pollutants and the possible consequences of pollution. This needs to acquire more information on soil for its sustainable use and good conservation requires its continuous characterization <xref ref-type="bibr" rid="scirp.140991-8">
     [8]
    </xref>. The aim of this work is to determine the level of heavy metal pollution in Brazzaville soils using a systematic sampling strategy in the surface horizons of these soils.</p>
  </sec><sec id="s2">
   <title>2. Methodology</title>
   <sec id="s2_1">
    <title>2.1. Presentation of the Study Area</title>
    <p>Located between latitudes 4˚6' and 4˚24' South and longitudes 15˚6' and 15˚18' East, with an average altitude of 301 m (<xref ref-type="fig" rid="fig1">
      Figure 1
     </xref>), the city of Brazzaville, capital of the Republic of Congo, is located on the banks of a lake, Pool Malebo (formerly Stanley Pool), upstream of the Kintambo rapids, the first in a series of falls and rapids that prohibit navigation on the lower Congo, the second most powerful river after the Amazon <xref ref-type="bibr" rid="scirp.140991-9">
      [9]
     </xref> <xref ref-type="bibr" rid="scirp.140991-10">
      [10]
     </xref>. Covering an area of 32,640 ha, the urban area of Brazzaville city is divided administratively into nine (09) arrondissements: 1 (Makélékélé), 2 (Bacongo), 3 (Poto-Poto), 4 (Moungali), 5 (Ouenzé), 6 (Talangaï), 7 (M’filou), 8 (Madibou) and 9 (Djiri). This city is built on a relief of plateaux and plains, in a transitional situation between the Cataractes plateau to the south and the Mbé plateau to the north <xref ref-type="bibr" rid="scirp.140991-10">
      [10]
     </xref>. This relief has a stepped appearance, decreasing towards the Congo River, and is incised by a natural drainage network serving as primary collectors, consisting of geological ravines (Glacière, Chad, Mission), streams (Mfilou, Makélékélé, Mfoa, the Ouenzé known as Madoukoutsékélé, Kélékélé, Ngamakosso) and rivers (Loua, Djoué, Tsiémé, Djiri) belonging to the Stanley-Pool watershed <xref ref-type="bibr" rid="scirp.140991-10">
      [10]
     </xref>. Brazzaville has a humid tropical or “Bas-Congolais” climate with two seasons. A dry season lasting 4 months, from June to September, and a rainy season lasting 8 months, from October to May <xref ref-type="bibr" rid="scirp.140991-11">
      [11]
     </xref>. According to the latest General Census of Population and Housing <xref ref-type="bibr" rid="scirp.140991-12">
      [12]
     </xref>, the population of the city of Brazzaville has risen in just over 50 years, from 124,030 in 1960 to 2,145,783 in 2023, or 34.94% of the country’s population, resulting in a high demand for building space <xref ref-type="bibr" rid="scirp.140991-12">
      [12]
     </xref>. Brazzaville’s soils are mainly of three types: PODZOLS, FERRALSOLS and GLEYSOLS <xref ref-type="bibr" rid="scirp.140991-13">
      [13]
     </xref> <xref ref-type="bibr" rid="scirp.140991-14">
      [14]
     </xref>. Depending on the nature of the parent rock, these soils are sandy-clayey, in the case of those derived from Inkisi arkosic sandstones, or sandy in the case of those derived from Batéké sands <xref ref-type="bibr" rid="scirp.140991-15">
      [15]
     </xref>.</p>
   </sec>
   <sec id="s2_2">
    <title>2.2. Methods</title>
    <p>Soil samples were taken on both banks of five tributaries of the Congo River flowing through the Brazzaville city (Djoué, Mfilou, Mfoa, Djiri and Tsiémé rivers). To take account of the heterogeneity of the environment, 15 sites soil sampling were determined on whole study area, comprised three sampling locations on each river: upstream, midstream and downstream. At each site and on each riverbank, three soil samples were taken at an equidistance of 250 m, giving a total of 6 soil samples taken at each site. Globally, 90 soil samples were taken over the entire study area. Taking into account the costs of chemical analysis, and ensuring that the study area was representative, a composite soil sample was made up of six elemental samples from each sampling site. Finally, 15 composite samples representative of the study area were analysed.</p>
    <fig id="fig1" position="float">
     <label>Figure 1</label>
     <caption>
      <title>Figure 1. Study area and soil sampling sites.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1660996-rId16.jpeg?20250303112959" />
    </fig>
    <p>The sampling points were georeferenced so that they could be represented spatially on a map (<xref ref-type="fig" rid="fig1">
      Figure 1
     </xref>). The samples were then transported to the geosciences and environment research laboratory (LARGEN) for drying and sieving (using a 2 mm square-mesh sieve) before being analysed in the analysis laboratory. After these preparation operations, the samples were stored in jars for dispatch to the analysis laboratory at the National Institute for Research in Exact and Natural Sciences (IRSEN) in Pointe Noire (Republic of Congo).</p>
    <p>The parameters measured were: pH H<sub>2</sub>O, pH KCl, total carbon and total nitrogen. The pH H<sub>2</sub>O was determined by direct measurement using a bench pH meter, in a suspension of soil in distilled water or in a 1N KCl solution made with 20 g of soil in 50 mL of solution. Total carbon was determined using the Walkley and Black (1934) method, which involves wet oxidation of organic matter using a potassium dichromate/sulphuric acid mixture <xref ref-type="bibr" rid="scirp.140991-16">
      [16]
     </xref>-<xref ref-type="bibr" rid="scirp.140991-18">
      [18]
     </xref>. Total nitrogen was determined by the Kjeldahl method (1883): mineralization with H<sub>2</sub>SO<sub>4</sub>, distillation, then volumetric titration <xref ref-type="bibr" rid="scirp.140991-18">
      [18]
     </xref>-<xref ref-type="bibr" rid="scirp.140991-20">
      [20]
     </xref>. The C/N ratio was calculated to assess changes in soil organic matter in general <xref ref-type="bibr" rid="scirp.140991-21">
      [21]
     </xref> <xref ref-type="bibr" rid="scirp.140991-22">
      [22]
     </xref>.</p>
    <p>Eight (8) metallic trace elements were determined at the Environmental Analytics laboratory, Steenhouwerstraat 15, Rotterdam, Netherlands: mercury (Hg), arsenic (As), copper (Cu), zinc (Zn), chromium (Cr), cadmium (Cd) and antimony (Sb). These elements were measured by inductively coupled plasma optical emission spectroscopy (ICP OES). Most of the TMEs selected are elements usually found in household waste and waste from human activities observed in the city of Brazzaville. <xref ref-type="bibr" rid="scirp.140991-23">
      [23]
     </xref>.</p>
    <p>To assess the risks of soil pollution, a soil pollution index (PI) was developed, incorporating the various levels of TMEs in the surveyed soils and their accepted thresholds <xref ref-type="bibr" rid="scirp.140991-24">
      [24]
     </xref>-<xref ref-type="bibr" rid="scirp.140991-27">
      [27]
     </xref>. The determination of the PI is based on the following formula:</p>
    <p>
     <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> 
       <mtext>
         PI 
       </mtext> 
       <mo>
         = 
       </mo> 
       <msqrt> 
        <mrow> 
         <mfrac> 
          <mrow> 
           <msubsup> 
            <mrow> 
             <mrow> 
              <mo>
                ( 
              </mo> 
              <mrow> 
               <mfrac> 
                <mrow> 
                 <mi>
                   C 
                 </mi> 
                 <mi>
                   i 
                 </mi> 
                </mrow> 
                <mrow> 
                 <mi>
                   C 
                 </mi> 
                 <mi>
                   S 
                 </mi> 
                 <mi>
                   i 
                 </mi> 
                </mrow> 
               </mfrac> 
              </mrow> 
              <mo>
                ) 
              </mo> 
             </mrow> 
            </mrow> 
            <mrow> 
             <mi>
               max 
             </mi> 
            </mrow> 
            <mn>
              2 
            </mn> 
           </msubsup> 
           <mo>
             + 
           </mo> 
           <msup> 
            <mrow> 
             <mrow> 
              <mo>
                ( 
              </mo> 
              <mrow> 
               <mfrac> 
                <mn>
                  1 
                </mn> 
                <mi>
                  n 
                </mi> 
               </mfrac> 
               <msubsup> 
                <mstyle mathsize="140%" displaystyle="true"> 
                 <mo>
                   ∑ 
                 </mo> 
                </mstyle> 
                <mrow> 
                 <mi>
                   i 
                 </mi> 
                 <mo>
                   = 
                 </mo> 
                 <mn>
                   1 
                 </mn> 
                </mrow> 
                <mi>
                  n 
                </mi> 
               </msubsup> 
               <mfrac> 
                <mrow> 
                 <mi>
                   C 
                 </mi> 
                 <mi>
                   i 
                 </mi> 
                </mrow> 
                <mrow> 
                 <mi>
                   C 
                 </mi> 
                 <mi>
                   S 
                 </mi> 
                 <mi>
                   i 
                 </mi> 
                </mrow> 
               </mfrac> 
              </mrow> 
              <mo>
                ) 
              </mo> 
             </mrow> 
            </mrow> 
            <mn>
              2 
            </mn> 
           </msup> 
          </mrow> 
          <mn>
            2 
          </mn> 
         </mfrac> 
        </mrow> 
       </msqrt> 
      </mrow> 
     </math></p>
    <p>where 
     <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> 
       <msubsup> 
        <mrow> 
         <mrow> 
          <mo>
            ( 
          </mo> 
          <mrow> 
           <mfrac> 
            <mrow> 
             <mi>
               C 
             </mi> 
             <mi>
               i 
             </mi> 
            </mrow> 
            <mrow> 
             <mi>
               C 
             </mi> 
             <mi>
               S 
             </mi> 
             <mi>
               i 
             </mi> 
            </mrow> 
           </mfrac> 
          </mrow> 
          <mo>
            ) 
          </mo> 
         </mrow> 
        </mrow> 
        <mrow> 
         <mi>
           max 
         </mi> 
        </mrow> 
        <mo> 
        </mo> 
       </msubsup> 
      </mrow> 
     </math> is the highest pollution index of a soil sample; Ci is the concentration of the TME; CSi is the normative threshold concentration of the TMES considered and n is the number of TMESs studied.</p>
    <p>Based on the PI values, 4 classes of soil pollution levels have been defined: if PI &lt; 1, the soil is unpolluted; if 1 ≤ PI &lt; 2, the soil is slightly polluted; if 2 ≤ PI &lt; 3, the soil is moderately polluted; if PI ≥ 3, the soil is polluted.</p>
    <p>The results of the analyses obtained were processed using Excel software for descriptive statistics, and OriginPro 9.0 for analysis of variance (ANOVA) and the Bonferroni test for comparisons of means at the 5% threshold.</p>
   </sec>
  </sec><sec id="s3">
   <title>3. Results and Discussion</title>
   <sec id="s3_1">
    <title>3.1. pH H<sub>2</sub>O and pH KCl</title>
    <p>The pH is an important factor in the availability of nutrients, as well as toxicity problems in the soil. The values of pH H<sub>2</sub>O and pH KCl obtained from the analyses are shown in <xref ref-type="fig" rid="fig2">
      Figure 2
     </xref> and <xref ref-type="fig" rid="fig3">
      Figure 3
     </xref>. The water pH values range from 5.1 (upstream of the Djoué) to 8.1 (downstream of the Mfoa), with an average of 7.4 ± 0.7. pH H<sub>2</sub>O values of between 6.5 and 7.5 were observed in the soils at all the sites sampled, with the exception of upstream of the Djoué river. These values, which reflect the neutral pH of the soils, are optimal for the absorption of mineral elements in the soil, and create conditions for the availability of nutrients for most plants <xref ref-type="bibr" rid="scirp.140991-28">
      [28]
     </xref>. The pH KCl values follow the same trend, ranging from 4.3 to 8.0 for the same watercourses, with an average of 7.1 ± 0.9. Potential soil acidity (pH H<sub>2</sub>O-pHKCl) varies from 0.02 to 0.79, with an average of 0.40; the greatest variations are observed on the soils of the banks of the Djoué river and its tributary, and the Mfilou river. These recorded pH values are thought to be due to the low carbonate content of these soils and the constant rainfall in the area. These results are similar to those of several authors <xref ref-type="bibr" rid="scirp.140991-29">
      [29]
     </xref>-<xref ref-type="bibr" rid="scirp.140991-31">
      [31]
     </xref>.</p>
    <fig id="fig2" position="float">
     <label>Figure 2</label>
     <caption>
      <title>Figure 2. pH H2O of the soil on the banks of Brazzaville’s watercourses. US: upstream; MC: mid-course; DS: downstream.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1660996-rId21.jpeg?20250303113003" />
    </fig>
    <fig id="fig3" position="float">
     <label>Figure 3</label>
     <caption>
      <title>Figure 3. pH KCl of the soil on the banks of Brazzavill’s watercourses. US: upstream; MC: mid-course; DS: downstream.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1660996-rId22.jpeg?20250303113003" />
    </fig>
    <p>Comparison of the mean pH values of the soils on the banks of each river, using the Bonferroni test, shows that there is no significant difference between the riverbanks, either for pH H<sub>2</sub>O or for KCl pH (<xref ref-type="fig" rid="fig4">
      Figure 4
     </xref> and <xref ref-type="fig" rid="fig5">
      Figure 5
     </xref>). However, the soils on the banks of the Djoué river have the lowest pH values.</p>
   </sec>
   <sec id="s3_2">
    <title>3.2. Total Carbon</title>
    <p>
     <xref ref-type="bibr" rid="scirp.140991-"></xref>Soil organic matter is an important indicator of soil quality degradation due to its contribution to soil stability, increasing soil water retention capacity, fixing mineral elements, and acting as a substrate for soil microorganisms <xref ref-type="bibr" rid="scirp.140991-32">
      [32]
     </xref>.</p>
    <fig id="fig4" position="float">
     <label>Figure 4</label>
     <caption>
      <title>Figure 4. Average pH H<sub>2</sub>O values for soils on the banks of Brazzaville rivers.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1660996-rId23.jpeg?20250303113004" />
    </fig>
    <fig id="fig5" position="float">
     <label>Figure 5</label>
     <caption>
      <title>Figure 5. Average pH KCl values for soils on the banks of Brazzaville rivers.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1660996-rId24.jpeg?20250303113004" />
    </fig>
    <p>The organic carbon content of the soils studied is shown in <xref ref-type="fig" rid="fig6">
      Figure 6
     </xref>. They range from 0.46% (upstream of the Tsiémé) to 1.65% (downstream of the Djoué), with an average of 0.83% ± 0.3%. With organic carbon contents of less than 2%, these soils have a low to medium level of organic matter fertility <xref ref-type="bibr" rid="scirp.140991-33">
      [33]
     </xref>-<xref ref-type="bibr" rid="scirp.140991-36">
      [36]
     </xref>. On the banks of all the rivers studied, organic carbon levels increase from upstream to downstream. These results can be explained by the sandy texture of the soils and the deforestation caused by accelerated urbanization, which exposes the soils and causes organic matter to leach out at depth or along the slope, thus enriching the areas located downstream of the watercourses <xref ref-type="bibr" rid="scirp.140991-28">
      [28]
     </xref> <xref ref-type="bibr" rid="scirp.140991-37">
      [37]
     </xref>-<xref ref-type="bibr" rid="scirp.140991-39">
      [39]
     </xref>.</p>
    <p>
     <xref ref-type="bibr" rid="scirp.140991-"></xref>Comparison of the mean organic carbon content, using the Bonferroni test, shows that there are no significant differences (p = 0.27) between the soils on the banks of the rivers studied (<xref ref-type="fig" rid="fig7">
      Figure 7
     </xref>). Nevertheless, the soils bordering the Djoué river had the highest organic matter content (1.15%) compared with the other rivers, where organic carbon content varied between 0.61% (Djiri river soils) and 0.84% (Mfilou river soils).</p>
   </sec>
   <sec id="s3_3">
    <title>3.3. Total Nitrogen</title>
    <p>
     <xref ref-type="bibr" rid="scirp.140991-"></xref>The total nitrogen content of the analyzed soils varied between 0.07% (upstream of the Tsiémé) and 0.16% (downstream of the Djoué) with an average of 0.01% ± 0.02%. Total nitrogen levels in the soils studied increased from upstream to downstream sites for the Djoué, Mfilou and Tsiémé rivers, whereas they moved</p>
    <fig id="fig6" position="float">
     <label>Figure 6</label>
     <caption>
      <title>Figure 6. Organic carbon content of riverbank soils in Brazzaville.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1660996-rId25.jpeg?20250303113005" />
    </fig>
    <fig id="fig7" position="float">
     <label>Figure 7</label>
     <caption>
      <title>Figure 7. Average organic carbon content of Brazzaville riverbank soils.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1660996-rId26.jpeg?20250303113005" />
    </fig>
    <p>in the opposite direction for the Mfoa and Djiri rivers (<xref ref-type="fig" rid="fig8">
      Figure 8
     </xref>). The average total nitrogen (<xref ref-type="fig" rid="fig9">
      Figure 9
     </xref>) content of the soils on the banks of the rivers studied varied between 0.08% (Djiri soils) and 0.13% (Djoué soils). According to the Bonferroni test, there was no significant difference between the soils bordering the different rivers. As with organic carbon content, total nitrogen content places these soils in the low to medium fertility categories. These low levels of total nitrogen in the soils could be attributed to the low organic matter content of these soils <xref ref-type="bibr" rid="scirp.140991-8">
      [8]
     </xref> <xref ref-type="bibr" rid="scirp.140991-35">
      [35]
     </xref> <xref ref-type="bibr" rid="scirp.140991-39">
      [39]
     </xref> <xref ref-type="bibr" rid="scirp.140991-40">
      [40]
     </xref>.</p>
    <fig id="fig8" position="float">
     <label>Figure 8</label>
     <caption>
      <title>Figure 8. Total nitrogen content of Brazzaville riverbank soils.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1660996-rId27.jpeg?20250303113004" />
    </fig>
    <fig id="fig9" position="float">
     <label>Figure 9</label>
     <caption>
      <title>Figure 9. Average total nitrogen content of Brazzaville riverbank soils.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1660996-rId28.jpeg?20250303113004" />
    </fig>
   </sec>
   <sec id="s3_4">
    <title>3.4. C/N Ratio</title>
    <p>As shown in <xref ref-type="fig" rid="fig10">
      Figure 10
     </xref>, the C/N ratios of the soils studied vary between 5 (upstream of the Mfilou) and 10 (downstream of the Djoué). It can be seen that the C/N ratios of the soils at the sites located upstream of the watercourses are lower than those of the soils at the sites located in the middle reaches and downstream of the watercourses.</p>
    <p>
     <xref ref-type="fig" rid="fig11">
      Figure 11
     </xref> shows the variations in mean C/N ratio values, which range from 7 (Mfoa and Mfilou soils) to 9 (Djoué soils). According to the Bonferroni test, the C/N ratio values are not significantly different between the rivers (P &gt; 0.05). These values reflect well-decomposed organic matter in the Djoué soils and rapid mineralization of organic matter in the soils on the banks of the other rivers <xref ref-type="bibr" rid="scirp.140991-5">
      [5]
     </xref> <xref ref-type="bibr" rid="scirp.140991-21">
      [21]
     </xref> <xref ref-type="bibr" rid="scirp.140991-22">
      [22]
     </xref> <xref ref-type="bibr" rid="scirp.140991-33">
      [33]
     </xref> <xref ref-type="bibr" rid="scirp.140991-40">
      [40]
     </xref>.</p>
    <fig id="fig10" position="float">
     <label>Figure 10</label>
     <caption>
      <title>Figure 10. Total nitrogen content of Brazzaville riverbank soils.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1660996-rId29.jpeg?20250303113006" />
    </fig>
    <fig id="fig11" position="float">
     <label>Figure 11</label>
     <caption>
      <title>Figure 11. Average total nitrogen content of Brazzaville riverbank soils.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1660996-rId30.jpeg?20250303113006" />
    </fig>
   </sec>
   <sec id="s3_5">
    <title>3.5. Distribution of Trace Metal Content in Soil</title>
    <p>The results of the analysis of trace metal elements in soil samples from the Brazzaville city are shown in <xref ref-type="fig" rid="figFigures 12-19">
      Figures 12-19
     </xref>. These results show that the mean values of trace metal concentrations in soils vary according to the metal element. Furthermore, they do not show any significant difference (p &gt; 0.05) between the analyzed elements and the banks of the rivers where the samples were taken. Nevertheless, these values are all below accepted standards, i.e. 300 ppm for Zn, 150 ppm for Chromium, 100 ppm for Pb, 50 ppm for Nikel, 25 ppm for As, 30 ppm for Sb, 1 ppm for Hg, and 2 ppm for Cd <xref ref-type="bibr" rid="scirp.140991-41">
      [41]
     </xref>-<xref ref-type="bibr" rid="scirp.140991-45">
      [45]
     </xref>. Only lead has a value above the standard, at the site downstream of the Djoué River (<xref ref-type="fig" rid="fig18">
      Figure 18
     </xref>), where there is heavy vehicle traffic and the dumping of solid metal waste. Lead is present in lubricants, tyres and brake pads <xref ref-type="bibr" rid="scirp.140991-46">
      [46]
     </xref>. These results are similar to those obtained in urban soils by several authors in Brazzaville <xref ref-type="bibr" rid="scirp.140991-39">
      [39]
     </xref>, Niamey <xref ref-type="bibr" rid="scirp.140991-44">
      [44]
     </xref>, Dakar <xref ref-type="bibr" rid="scirp.140991-45">
      [45]
     </xref>, Sidi Bel Abbes <xref ref-type="bibr" rid="scirp.140991-46">
      [46]
     </xref>, Cotonou <xref ref-type="bibr" rid="scirp.140991-47">
      [47]
     </xref>, Kinshasa <xref ref-type="bibr" rid="scirp.140991-48">
      [48]
     </xref> and Lagos <xref ref-type="bibr" rid="scirp.140991-49">
      [49]
     </xref> where Pb values are higher than accepted standards.</p>
    <p>
     <xref ref-type="bibr" rid="scirp.140991-"></xref>The low concentrations of trace metal elements in the sampling sites are thought to be due either to the leaching of elements such as cadmium, which is fairly mobile <xref ref-type="bibr" rid="scirp.140991-48">
      [48]
     </xref>, or to the absence of industry, or to the absence of intensive agriculture, using large quantities of pesticides and chemical inputs, in the Brazzaville city <xref ref-type="bibr" rid="scirp.140991-50">
      [50]
     </xref>. These results are similar to those of several authors showing that the total content of trace metals in soils varies according to the type of soil, the metal element, the type of waste buried and the presence of a source of contamination or pollution in or near the sampling site <xref ref-type="bibr" rid="scirp.140991-44">
      [44]
     </xref> <xref ref-type="bibr" rid="scirp.140991-48">
      [48]
     </xref> <xref ref-type="bibr" rid="scirp.140991-49">
      [49]
     </xref> <xref ref-type="bibr" rid="scirp.140991-51">
      [51]
     </xref> <xref ref-type="bibr" rid="scirp.140991-52">
      [52]
     </xref>.</p>
    <fig id="fig12" position="float">
     <label>Figure 12</label>
     <caption>
      <title>Figure 12. Average antimony levels along rivers.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1660996-rId31.jpeg?20250303113007" />
    </fig>
    <fig id="fig13" position="float">
     <label>Figure 13</label>
     <caption>
      <title>Figure 13. Average antimony levels along rivers.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1660996-rId32.jpeg?20250303113007" />
    </fig>
    <fig id="fig14" position="float">
     <label>Figure 14</label>
     <caption>
      <title>Figure 14. Average antimony levels along rivers.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1660996-rId33.jpeg?20250303113007" />
    </fig>
    <fig id="fig15" position="float">
     <label>Figure 15</label>
     <caption>
      <title>Figure 15. Average antimony levels along rivers.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1660996-rId34.jpeg?20250303113007" />
    </fig>
    <fig id="fig16" position="float">
     <label>Figure 16</label>
     <caption>
      <title>Figure 16. Average antimony levels along rivers.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1660996-rId35.jpeg?20250303113007" />
    </fig>
    <fig id="fig17" position="float">
     <label>Figure 17</label>
     <caption>
      <title>Figure 17. Average antimony levels along rivers.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1660996-rId36.jpeg?20250303113007" />
    </fig>
    <fig id="fig18" position="float">
     <label>Figure 18</label>
     <caption>
      <title>Figure 18. Average antimony levels along rivers.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1660996-rId37.jpeg?20250303113007" />
    </fig>
    <fig id="fig19" position="float">
     <label>Figure 19</label>
     <caption>
      <title>Figure 19. Average antimony levels along rivers.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1660996-rId38.jpeg?20250303113006" />
    </fig>
    <p>The pH values, most of which are alkaline or close to neutral, could also be the cause of the low presence of trace metals elements in the soils, as the low mobility of trace metals is due to alkaline pH <xref ref-type="bibr" rid="scirp.140991-35">
      [35]
     </xref> <xref ref-type="bibr" rid="scirp.140991-45">
      [45]
     </xref> <xref ref-type="bibr" rid="scirp.140991-53">
      [53]
     </xref>-<xref ref-type="bibr" rid="scirp.140991-55">
      [55]
     </xref>. Soils on the banks of the Djoué with an acid pH have the highest levels of most of the trace metals elements determined, namely Sb, As, Cr, Ni and Pb. The highest levels of Hg and Cd are found in the soil on the banks of the Tsiémé, where people dump large quantities of household waste <xref ref-type="bibr" rid="scirp.140991-44">
      [44]
     </xref> <xref ref-type="bibr" rid="scirp.140991-48">
      [48]
     </xref> <xref ref-type="bibr" rid="scirp.140991-49">
      [49]
     </xref> <xref ref-type="bibr" rid="scirp.140991-51">
      [51]
     </xref>.</p>
    <p>Assessment of the soil pollution index for the surveyed soils</p>
    <p>For soils on the riverbanks in the city of Brazzaville, the PI values and their significance are given in <xref ref-type="fig" rid="fig20">
      Figure 20
     </xref>. Although TMES values are below threshold levels at most of the sampling sites, the PI values show that the soils of the Djoué river are polluted with TMES, those of the Tsiémé river are moderately polluted and the soils of the banks of the Mfoa and Mfilou rivers are slightly polluted. Soil on the banks of the Djiri river is unpolluted. This soil quality would seem to be linked to the rate of land use and urbanisation along the banks of these rivers: rivers with polluted soils run through neighbourhoods that are more or less old and often densely populated <xref ref-type="bibr" rid="scirp.140991-10">
      [10]
     </xref> <xref ref-type="bibr" rid="scirp.140991-12">
      [12]
     </xref>.</p>
    <fig id="fig20" position="float">
     <label>Figure 20</label>
     <caption>
      <title>Figure 20. Pollution Index of the soils of the different rivers banks.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1660996-rId39.jpeg?20250303113006" />
    </fig>
   </sec>
  </sec><sec id="s4">
   <title>4. Conclusions</title>
   <p>The aim of this study was to assess the levels of organic matter and trace metals in the soil on the banks of the tributaries of the Congo River that flow through the Brazzaville city. The study revealed that the pH values of the soils vary from 5.1 to 8.1. These soils are weakly acidic to basic; this could reduce the mobility of trace metal elements (TMEs) in the soil. Organic carbon values ranged from 0.54 to 1.1 (%), and total nitrogen from 0.07 to 0.16 (%). The C/N ratio shows that all the analyzed soils are subdivided into two (02) groups: soils with well-decomposed organic matter and soils with poorly mineralized organic matter.</p>
   <p>The levels of trace metals elements (Pb, Ni, Hg, As, Sb, Cd, Zn and Cr) did not show any significant differences between the sampling sites on the riverbanks. The values for the various TMEs were below the AFNOR U44-41 standard for TMEs pollution in soils, with the exception of lead, whose levels were exceptionally high in the soil sample from downstream of the Djoué river, which is exposed to heavy vehicle traffic and the dumping of solid household waste. The low concentrations of TMEs in the soils are thought to be due either to the pH of the soil, which is close to neutral or only slightly alkaline, because the pH of the soil solution and the redox potential (Eh) directly and indirectly influence all the chemical processes and therefore also regulate the dynamics of the TMEs in the soil. In addition, the low levels of TMEs could be explained by the absence of industry, or to the fact that intensive agriculture, using large quantities of pesticides and chemical inputs, is not practiced in the Brazzaville city. Although TMEs values are below threshold levels at most of the sampling sites, the PI values show that the soils of the Djoué river are polluted with TMEs, those of the Tsiémé river are moderately polluted and the soils of the banks of the Mfoa and Mfilou rivers are slightly polluted. To mitigate the harmful effects of TMEs in Brazzaville’s soils, the population needs to be made aware of the need to adopt good household waste management practices. The municipality should set up a waste treatment system and implement the most appropriate processes for cleaning up the city.</p>
  </sec><sec id="s5">
   <title>Acknowledgements</title>
   <p>We would like to thank the World Bank for funding the research work, the African Centre of Excellence for Water and Sanitation (C2EA) coordinated by the National Water Institute (INE) in Benin for the training received and logistical support. We would also like to thank the laboratories Plant and Life Chemistry Unit (UC2V) and the laboratory for Geosciences and Environmental Research (LARGEN) of the Université Marien Ngouabi for their hospitality and scientific supervision of the work carried out. We would also like to thank the Forest Research Institute Laboratory (IRF) in Brazzaville (Congo) for the space it provided for the pre-treatment of soil samples, and all other people who contributed to the success of this work.</p>
  </sec>
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