<?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">
    jwarp
   </journal-id>
   <journal-title-group>
    <journal-title>
     Journal of Water Resource and Protection
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    1945-3094
   </issn>
   <issn publication-format="print">
    1945-3108
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/jwarp.2024.168031
   </article-id>
   <article-id pub-id-type="publisher-id">
    jwarp-134895
   </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>
    Microbiological and Physico-Chemical Analysis of the Waters of the “Mamouwol” Stream in the Urban District of Mamou (Republic of Guinea)
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Mamadou Lamarana
      </surname>
      <given-names>
       Souare
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Mamadou Madaniou
      </surname>
      <given-names>
       Sow
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Saran
      </surname>
      <given-names>
       Camara
      </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>
       Adama Moussa
      </surname>
      <given-names>
       Sakho
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aTechnical Department of Laboratory, Superior Institute of Technology, Mamou, Republic of Guinea
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aStudy and Research Center in the Environment (CERE), Gamal Abdel Nasser University of Conakry, Conakry, Republic of Guinea
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     29
    </day> 
    <month>
     07
    </month>
    <year>
     2024
    </year>
   </pub-date> 
   <volume>
    16
   </volume> 
   <issue>
    08
   </issue>
   <fpage>
    559
   </fpage>
   <lpage>
    568
   </lpage>
   <history>
    <date date-type="received">
     <day>
      9,
     </day>
     <month>
      June
     </month>
     <year>
      2024
     </year>
    </date>
    <date date-type="published">
     <day>
      26,
     </day>
     <month>
      June
     </month>
     <year>
      2024
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      26,
     </day>
     <month>
      July
     </month>
     <year>
      2024
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © Copyright 2014 by authors and Scientific Research Publishing Inc. 
    </copyright-statement>
    <copyright-year>
     2014
    </copyright-year>
    <license>
     <license-p>
      This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/
     </license-p>
    </license>
   </permissions>
   <abstract>
    Water is essential to life and to the sustainable socio-economic development of a nation, it is therefore interesting to have a better knowledge of the quality of this water. The aim was to determine the degree of microbiological and physico-chemical pollution of the water of the “Mamouwol” river in the town of Mamou. To do this, we chose four (4) sampling sites spread throughout the town of Mamou. During the month of March (2024), 4 water samples were analyzed to monitor the water quality of this river. The average values of the flora analyzed show that these water are heavily contaminated with bacteria indicative of fecal and metal pollution. This study showed that sites: Mam4; Mam2 and Mam1 contain the highest loads, with Total Coliform counts ranging from 1534 CFU/100 ml to 2100 CFU/100 ml, the number of faecal coliforms varies between 526 and 1240 CFU/100 ml, and that of faecal streptococci between 526 and 841 CFU/100 ml. Metal content, BOD5 and COD all comply with the laboratory’s analysis criteria, although they vary from point to point.
   </abstract>
   <kwd-group> 
    <kwd>
     Pollution
    </kwd> 
    <kwd>
      Water
    </kwd> 
    <kwd>
      Watercourses
    </kwd> 
    <kwd>
      Waterborne Diseases
    </kwd> 
    <kwd>
      Microbiological Analysis
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>
    <xref ref-type="bibr" rid="scirp.134895-"></xref>A modelling study has shown that, by 2100, 5.5 billion people worldwide could be affected by polluted water <xref ref-type="bibr" rid="scirp.134895-1">
     [1]
    </xref>. At present, according to the report published by UNESCO on behalf of UN-Water at the United Nations Conference on Water in 2023 in New York, nearly (2) billion people (26% of the population) have no access to drinking water and 3.6 billion (46% of the population) lack reliable sanitation <xref ref-type="bibr" rid="scirp.134895-2">
     [2]
    </xref> <xref ref-type="bibr" rid="scirp.134895-3">
     [3]
    </xref>. It should be noted that visions on climate, socio-economic development and surface water quality have already been assessed by some researchers in the form of maps. In Africa, 70% to 80% of water-borne diseases in children are mainly due to poor water quality <xref ref-type="bibr" rid="scirp.134895-3">
     [3]
    </xref>. In the case of the Republic of Guinea, the hydrographic network includes 1161 watercourses, 23 of which are basins and 14 of which are international <xref ref-type="bibr" rid="scirp.134895-4">
     [4]
    </xref> <xref ref-type="bibr" rid="scirp.134895-5">
     [5]
    </xref>. However, according to UNICEF results published in New York in March 2023, 190 million children living in 10 African countries, including the Republic of Guinea, are exposed to risks linked to: climatic hazards, water-related diseases and lack of specialized water supply services <xref ref-type="bibr" rid="scirp.134895-4">
     [4]
    </xref>. The distribution of drinking water is supplied by: Guinea Water Exploitation Company SEG (Guinea Water Company), National Water Point Development Service (SNAPE) which are public services and some private individuals, mainly through boreholes. At present, all of Guinea’s water resources are threatened by massive silting of our watercourses caused by drought provoked by anthropogenic activities. <xref ref-type="bibr" rid="scirp.134895-3">
     [3]
    </xref> <xref ref-type="bibr" rid="scirp.134895-6">
     [6]
    </xref> <xref ref-type="bibr" rid="scirp.134895-7">
     [7]
    </xref>. Numerous works have been reported on water management and treatment around the world <xref ref-type="bibr" rid="scirp.134895-6">
     [6]
    </xref> <xref ref-type="bibr" rid="scirp.134895-8">
     [8]
    </xref>-<xref ref-type="bibr" rid="scirp.134895-10">
     [10]
    </xref>. We recently reported a study investigating anthropogenic activities along the same watercourse one of the most important watercourses in the commune of</p>
   <fig id="fig1" position="float">
    <label>Figure 1</label>
    <caption>
     <title>Figure 1. Special representation of the Mamouwol stream showing sampling sites.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/9404933-rId13.jpeg?20240909014643" />
   </fig>
   <p>Mamou in the Republic of Guinea is Mamouwol, which plays an important role in the lives of the people living along the river <xref ref-type="bibr" rid="scirp.134895-11">
     [11]
    </xref>. For a continuation, we report a Microbiological analysis of the water of the “Mamouwol” stream in the urban commune of Mamou (Republic of Guinea). <xref ref-type="fig" rid="fig1">
     Figure 1
    </xref> shows the special representation of the river Mamouwol and sampling sites.</p>
  </sec><sec id="s2">
   <title>2. Materials and Methods</title>
   <sec id="s2_1">
    <title>2.1. Presentation of the Study Area</title>
    <p>
     <xref ref-type="bibr" rid="scirp.134895-"></xref>This study was carried out in the Mamou prefecture. According to the administrative division, the Mamou prefecture is the capital of the Mamou Administrative Region and comprises 13 sub-prefectures plus the urban commune. It is made up of 28 neighborhoods. It covers an area of 17,074 km<sup>2</sup> with a population of 340,956 inhabitants (RGPH, 2016) including 43 inhabitants per km<sup>2</sup>. The Mamou prefecture lies between 9˚54’ and 11˚10’ North attitude and between 11˚25’ and 12˚26’ West longitude with a foutanian climate and an alternation of two (2) seasons: A dry season from November to April and a rainy season from May to October.</p>
   </sec>
   <sec id="s2_2">
    <title>2.2. Study Framework</title>
    <p>The laboratory of the National Office of Quality Control (ONCQ) at Matoto (Conakry, Republic of Guinea) was used as the setting for this study.</p>
   </sec>
   <sec id="s2_3">
    <title>2.3. Sampling and Equipment Used</title>
    <p>Sampling was carried out upstream and downstream of the Mamouwal River (Mamou commune) at four (4) sampling points: Mamou 1, 2, 3 and 4 (<xref ref-type="table" rid="table1">
      Table 1
     </xref>), followed by sample conditioning and transport to the laboratory for physico-chemical and microbiological analysis. The equipment used is GARMIN 72 GPS, camera, 50 cl sterile bottles, cooler, motorcycle, glue, pen, notepad. The sampling points were chosen according to the intensity of anthropogenic activities at these points, as shown in (<xref ref-type="fig" rid="fig2">
      Figure 2
     </xref>). Sampling was carried out on Sunday 24/03/2024.</p>
    <p>After rinsing and sterilizing the polymer bottles intended to take the water sample, we waited a few minutes for the water to flow through them, we proceeded to levy samples in these previously prepared vials. The flasks were then placed in a polystyrene cooler at a temperature of around 5˚C, and transported directly to the laboratory for spectrophotometric analysis. Conventional gallery and PCR amplification enabled us to identify the salmonella typhi strain.</p>
    <p>
     <xref ref-type="bibr" rid="scirp.134895-"></xref>Microbiological analyses were carried out using the enumeration method. This method consists in determining the micro-organism content in a product in order to control its quality <xref ref-type="bibr" rid="scirp.134895-12">
      [12]
     </xref>.</p>
    <fig id="fig2" position="float">
     <label>Figure 2</label>
     <caption>
      <title>(a) (b)<p class="imgGroupCss_v"><img class=" imgMarkCss lazy" data-original="https://html.scirp.org/file/9404933-rId16.jpeg?20240909014644" /></p> <p class="imgGroupCss_v"><img class=" imgMarkCss lazy" data-original="https://html.scirp.org/file/9404933-rId17.jpeg?20240909014644" /></p>(c) (d)Figure 2. Showing photos of the Mamouwol stream. With a traditional toilet (a); a water merchant with cans and tricycle (b); teenagers: mechanic cleaning his hands and clothes, then drinking afterward, and boatman on old car tanks with shoes in hand (c), (d).</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="" />
    </fig>
    <fig id="fig2" position="float">
     <label>Figure 2</label>
     <caption>
      <title>(a) (b)<p class="imgGroupCss_v"><img class=" imgMarkCss lazy" data-original="https://html.scirp.org/file/9404933-rId16.jpeg?20240909014644" /></p> <p class="imgGroupCss_v"><img class=" imgMarkCss lazy" data-original="https://html.scirp.org/file/9404933-rId17.jpeg?20240909014644" /></p>(c) (d)Figure 2. Showing photos of the Mamouwol stream. With a traditional toilet (a); a water merchant with cans and tricycle (b); teenagers: mechanic cleaning his hands and clothes, then drinking afterward, and boatman on old car tanks with shoes in hand (c), (d).</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/9404933-rId14.jpeg?20240909014644" />
    </fig>
    <fig id="fig2" position="float">
     <label>Figure 2</label>
     <caption>
      <title>(a) (b)<p class="imgGroupCss_v"><img class=" imgMarkCss lazy" data-original="https://html.scirp.org/file/9404933-rId16.jpeg?20240909014644" /></p> <p class="imgGroupCss_v"><img class=" imgMarkCss lazy" data-original="https://html.scirp.org/file/9404933-rId17.jpeg?20240909014644" /></p>(c) (d)Figure 2. Showing photos of the Mamouwol stream. With a traditional toilet (a); a water merchant with cans and tricycle (b); teenagers: mechanic cleaning his hands and clothes, then drinking afterward, and boatman on old car tanks with shoes in hand (c), (d).</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/9404933-rId15.jpeg?20240909014644" />
    </fig>
    <p>Heavy metals are metallic elements whose density exceeds 5 g/cm<sup>3</sup>. They are referred to as trace metals in the environment, and generally come from pollution of human origin. Their intensification in aquatic environments can have effects on human and environmental health <xref ref-type="bibr" rid="scirp.134895-13">
      [13]
     </xref> <xref ref-type="bibr" rid="scirp.134895-14">
      [14]
     </xref>. Some, such as iron, manganese and lead, have been measured by UV-visible spectrophotometry using photo Lab. 7600. Biological and chemical oxygen demand (BOD5; COD) are indices of water pollution that assess the biodegradable fraction of carbon pollution in water and the quantity of dissolved oxygen capable of oxidizing organic matter, in order to assess the impact of effluents, chemical parameters were also determined using a Real-Tech measuring device.</p>
   </sec>
  </sec><sec id="s3">
   <title>3. Results and Discussion</title>
   <p>The results of the geographical coordinates in degrees, minutes and seconds (DMS) of the sampling points, the times and the microbiological and physicochemical analyses of the water are shown in (<xref ref-type="table" rid="tableTables 1-4">
     Tables 1-4
    </xref> and <xref ref-type="fig" rid="fig3">
     Figure 3
    </xref>).</p>
   <p>
    <xref ref-type="bibr" rid="scirp.134895-"></xref><xref ref-type="table" rid="table1">
     Table 1
    </xref> shows the results obtained from the use of GPS in this study, which enabled us to take the coordinates of the sampling points in the various locations of the Mamouwol watercourse where anthropogenic activities are intense at the times indicated in (<xref ref-type="table" rid="table1">
     Table 1
    </xref>). Microbiological analyses of water samples taken from these points were carried out, and the results are reported in (<xref ref-type="table" rid="table2">
     Table 2
    </xref>). The results show that the water analyzed contains certain microorganisms of fecal origin, accompanied by pathogenic organisms, in particular bacteria: Salmonella; Faecal Streptococci; Total Coliforms; Faecal Coliforms; Escherichia coli.</p>
   <table-wrap id="table1">
    <label>
     <xref ref-type="table" rid="table1">
      Table 1
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.134895-"></xref>Table 1. Geographical coordinates of sampling points and times.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td acenter" width="19.51%">Sampling points<p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="19.51%">Date of Sample<p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="19.51%">Time of Sampling<p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="41.48%">Location and contact details GPS<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="19.51%">Mamou1<p style="text-align:center"></p></td> 
      <td rowspan="4" class="custom-top-td acenter" width="19.51%">24/03/2024<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="19.51%">09 h - 57 mn<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="41.48%">10˚.21'51.50''N - 12˚.03'45.01''W<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="19.51%">Mamou 2<p style="text-align:center"></p></td> 
      <td class="acenter" width="19.51%">11 h - 03 mn<p style="text-align:center"></p></td> 
      <td class="acenter" width="41.48%">10˚.37'40.88''N - 12˚.07'16.66''W<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="19.51%">Mamou 3<p style="text-align:center"></p></td> 
      <td class="acenter" width="19.51%">14 h - 20 mn<p style="text-align:center"></p></td> 
      <td class="acenter" width="41.48%">10˚.38'16.40''N - 12˚.08'02.64''W<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="19.51%">Mamou 4<p style="text-align:center"></p></td> 
      <td class="acenter" width="19.51%">16 h - 45 mn<p style="text-align:center"></p></td> 
      <td class="acenter" width="41.48%">10˚.38'59.39''N - 12˚.08'94.55''W<p style="text-align:center"></p></td> 
     </tr> 
    </table>
   </table-wrap>
   <table-wrap id="table2">
    <label>
     <xref ref-type="table" rid="table2">
      Table 2
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.134895-"></xref>Table 2. Results of microbiological water analysis.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td rowspan="2" class="acenter" width="6.62%">N°<p style="text-align:center"></p></td> 
      <td rowspan="2" class="acenter" width="18.78%">Types<p style="text-align:center"></p></td> 
      <td rowspan="2" class="acenter" width="16.45%">Units<p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="44.11%" colspan="4">Samples<p style="text-align:center"></p></td> 
      <td rowspan="2" class="acenter" width="14.05%">Criteria<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="11.02%">MAM1<p style="text-align:center"></p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="11.03%">MAM2<p style="text-align:center"></p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="11.02%">MAM3<p style="text-align:center"></p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="11.03%">MAM4<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="6.62%">1<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="18.78%">Salmonella<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="16.45%">Abs/ml<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="11.02%">Present<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="11.03%">Present<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="11.02%">Present<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="11.03%">Present<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="14.05%">Absent<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="6.62%">2<p style="text-align:center"></p></td> 
      <td class="acenter" width="18.78%">Streptococci<p style="text-align:center"></p></td> 
      <td class="acenter" width="16.45%">UFC/100 ml<p style="text-align:center"></p></td> 
      <td class="acenter" width="11.02%">526<p style="text-align:center"></p></td> 
      <td class="acenter" width="11.03%">604<p style="text-align:center"></p></td> 
      <td class="acenter" width="11.02%">602<p style="text-align:center"></p></td> 
      <td class="acenter" width="11.03%">841<p style="text-align:center"></p></td> 
      <td class="acenter" width="14.05%">≤ 500<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="6.62%">3<p style="text-align:center"></p></td> 
      <td class="acenter" width="18.78%">Total coliforms<p style="text-align:center"></p></td> 
      <td class="acenter" width="16.45%">UFC/100 ml<p style="text-align:center"></p></td> 
      <td class="acenter" width="11.02%">1640<p style="text-align:center"></p></td> 
      <td class="acenter" width="11.03%">1534<p style="text-align:center"></p></td> 
      <td class="acenter" width="11.02%">1804<p style="text-align:center"></p></td> 
      <td class="acenter" width="11.03%">2100<p style="text-align:center"></p></td> 
      <td class="acenter" width="14.05%">580 - 13.10<sup>4</sup><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="6.62%">4<p style="text-align:center"></p></td> 
      <td class="acenter" width="18.78%">Fecal coliforms<p style="text-align:center"></p></td> 
      <td class="acenter" width="16.45%">UFC/100 ml<p style="text-align:center"></p></td> 
      <td class="acenter" width="11.02%">685<p style="text-align:center"></p></td> 
      <td class="acenter" width="11.03%">724<p style="text-align:center"></p></td> 
      <td class="acenter" width="11.02%">526<p style="text-align:center"></p></td> 
      <td class="acenter" width="11.03%">1240<p style="text-align:center"></p></td> 
      <td class="acenter" width="14.05%">0 - 83.10<sup>3</sup><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="6.62%">5<p style="text-align:center"></p></td> 
      <td class="acenter" width="18.78%">Escherichia coli.<p style="text-align:center"></p></td> 
      <td class="acenter" width="16.45%">UFC/100 ml<p style="text-align:center"></p></td> 
      <td class="acenter" width="11.02%">103<p style="text-align:center"></p></td> 
      <td class="acenter" width="11.03%">98<p style="text-align:center"></p></td> 
      <td class="acenter" width="11.02%">120<p style="text-align:center"></p></td> 
      <td class="acenter" width="11.03%">124<p style="text-align:center"></p></td> 
      <td class="acenter" width="14.05%">≤ 126<p style="text-align:center"></p></td> 
     </tr> 
    </table>
   </table-wrap>
   <fig id="fig3" position="float">
    <label>Figure 3</label>
    <caption>
     <title>Figure 3. Concentration diagram of microorganisms found during the study.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/9404933-rId18.jpeg?20240909014644" />
   </fig>
   <p>Evaluation of salmonella concentration at points (Mamou 1, 2, 3 and 4)</p>
   <p>Esting for salmonella in the water of the Mamouwol stream revealed the presence of salmonella at all sampling points (Mam1, 2, 3 and 4) during the hours indicated in <xref ref-type="table" rid="table1">
     Table 1
    </xref>. 100% of water samples taken during the study period were found to be positive for salmonella. This depends on the epidemiological and environmental conditions in the regions where the studies were carried out <xref ref-type="bibr" rid="scirp.134895-15">
     [15]
    </xref>.</p>
   <p>Evaluation of fecal streptococci concentration</p>
   <p>The count of fecal pollution indicators shows that the water analyzed is colonized by fecal streptococci. Streptococcus concentrations range from 526 CFU/100 mL to 841 CFU/100 mL. However, the highest value was obtained at Mamou 4, followed by Mamou 2, Mamou 3 and Mamou 1 respectively (<xref ref-type="table" rid="table2">
     Table 2
    </xref>). These high concentrations of fecal streptococci observed in these points are probably linked to the consequences of human activities such as water from residential sewers, vehicle washing stations, traditional toilets, winter run-off from the tambassa cemetery, mechanical garages, poultry farms, washing, all of which are less than 25 m from the watercourse.</p>
   <p>Changes in total coliform (TC) concentrations at the various stations studied</p>
   <p>Total coliform (TC) concentrations for sampling sites Mam1; Mam2; Mam3 and Mam4 were: 1640, 1534, 1804 and 2100 CFU/100 ml respectively. Maximum concentrations were obtained at the following sampling points: Mam4 (2100) and Mam3 (1804 CFU//100 ml). However, minimum concentrations were observed at sampling points Mam2 and Mam1: 1640, 1534 CFU/100 ml respectively, with a difference of 106 CFU/100 ml between the two sampling sites. According to the results of studies carried out by <xref ref-type="bibr" rid="scirp.134895-16">
     [16]
    </xref> on the surface waters of Oued Hassar (Casablanca, Morocco), total coliform concentrations of: 7.4.103 and 6.4.1010 CFU/100 ml, were far higher than those reported in our study.</p>
   <p>Changes in fecal coliform (FC) concentration</p>
   <p>
    <xref ref-type="table" rid="table2">
     Table 2
    </xref> shows the results for fecal coliform (FC) concentrations. The table shows a jagged variation in values: 685; 724; 526 and 1240 CFU/100 ml for (Mam1; Mam2; Mam3 and Mam4) respectively. However, the highest value is observed at Mam4 and the lowest at Mam3 (1240; 526 CFU/100 ml). According to the standards indicated by <xref ref-type="bibr" rid="scirp.134895-17">
     [17]
    </xref>, values in excess (&gt; 1000/100 ml CFU/100 ml), classify this water as of poor bacteriological quality for agricultural use. The results of our study are close to the values indicated by the laboratory’s analysis criteria (<xref ref-type="table" rid="table2">
     Table 2
    </xref>). This compliance would probably be due to certain factors such as sampling mode and times; frequency rate of human and animal activities; and even the impact of public awareness campaigns.</p>
   <p>Assessment of Escherichia coli concentration in water</p>
   <p>Numerous studies have shown that this species is generally associated with a fecal source. Today, E. coli is considered an indicator of the onset of pollution by human or warm-blooded animal faeces <xref ref-type="bibr" rid="scirp.134895-18">
     [18]
    </xref>. In contrast to the other microorganisms listed in (<xref ref-type="table" rid="table2">
     Table 2
    </xref>), we found Escherichia-coli in the various sampling points (Mam1; 2; 3; 4) with growth from upstream to downstream of the town; the concentrations found were: (Mam1 = 114 CFU/100 ml; Mam2 = 98 CFU/100 ml; Mam3 = 120 CFU/100 ml; Mam4 = 124 CFU/100 ml) respectively. Based on these results, two (2) trends were observed: An increase to 120 and 124 CFU/100 ml at points Mam3 and 4, and a decrease to 103 and 98 CFU/100 ml at points Mam1 and 2. These variations are probably due, on the one hand, to the maintenance of domestic habits and behaviours and, on the other, to the low frequency of visits by the population. A recent study reported by <xref ref-type="bibr" rid="scirp.134895-19">
     [19]
    </xref> in the town of Mamou confirmed the presence of E. coli in the waters of Mamouwol.</p>
   <p>The origin of faecal contamination according to <xref ref-type="bibr" rid="scirp.134895-19">
     [19]
    </xref></p>
   <p>The origin of fecal contamination is determined by the quantitative ratio R: CF/SF (where CF is fecal coliform; SF is fecal streptococcus). According to the criteria defined by <xref ref-type="bibr" rid="scirp.134895-20">
     [20]
    </xref>, contamination is of animal origin if the R ratio is less than 0.7, and of human origin if R is greater than 4. The origin of the contamination is said to be predominantly animal if R is between 0.7 and 1, uncertain if R is between 1 and 2, and predominantly human if R is between 2 and 4. <xref ref-type="table" rid="table3">
     Table 3
    </xref> presents the results and conclusions of our report on the origin of pollution.</p>
   <p>Concentrations of certain physicochemical parameters such as iron, manganese, lead, calcium, biological oxygen demand (BOD5), chemical oxygen demand (COD) and salinity are shown in (<xref ref-type="table" rid="table4">
     Table 4
    </xref>).</p>
   <table-wrap id="table3">
    <label>
     <xref ref-type="table" rid="table3">
      Table 3
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.134895-"></xref>Table 3. Origin of pollution at the various stations studied.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td acenter" width="26.62%">Sampling sites<p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="26.62%">CF/SF<p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="46.76%">Source of contamination<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="26.62%">Mam1<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="26.62%">3.11<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="46.76%">Mixed, predominantly human<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="26.62%">Mam2<p style="text-align:center"></p></td> 
      <td class="acenter" width="26.62%">2.53<p style="text-align:center"></p></td> 
      <td class="acenter" width="46.76%">Mixed, predominantly human<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="26.62%">Mam3<p style="text-align:center"></p></td> 
      <td class="acenter" width="26.62%">2.99<p style="text-align:center"></p></td> 
      <td class="acenter" width="46.76%">Mixed, predominantly human<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="26.62%">Mam4<p style="text-align:center"></p></td> 
      <td class="acenter" width="26.62%">2.49<p style="text-align:center"></p></td> 
      <td class="acenter" width="46.76%">Mixed, predominantly human<p style="text-align:center"></p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>
    <xref ref-type="bibr" rid="scirp.134895-"></xref></p>
   <table-wrap id="table4">
    <label>
     <xref ref-type="table" rid="table4">
      Table 4
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.134895-"></xref>Table 4. Results for physicochemical parameters.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td rowspan="2" class="acenter" width="8.09%">N°<p style="text-align:center"></p></td> 
      <td rowspan="2" class="acenter" width="16.93%">Parameters<p style="text-align:center"></p></td> 
      <td rowspan="2" class="acenter" width="12.50%">Units<p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="49.98%" colspan="4">Samples<p style="text-align:center"></p></td> 
      <td rowspan="2" class="acenter" width="12.50%">Criteria<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="12.50%">MAM1<p style="text-align:center"></p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="12.50%">MAM2<p style="text-align:center"></p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="12.50%">MAM3<p style="text-align:center"></p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="12.50%">MAM4<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="8.09%">1<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="16.93%">Iron<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="12.50%">mg/l<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="12.50%">0.041<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="12.50%">0.034<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="12.50%">0.036<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="12.50%">0.036<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="12.50%">&lt; 1<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="8.09%">2<p style="text-align:center"></p></td> 
      <td class="acenter" width="16.93%">Manganese<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">mg/l<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">&lt; 0.50<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">&lt; 0.50<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">&lt; 0.50<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">&lt; 0.50<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">&lt; 0.50<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="8.09%">3<p style="text-align:center"></p></td> 
      <td class="acenter" width="16.93%">Lead<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">mg/l<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">&lt; 0.01<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">&lt; 0.01<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">&lt; 0.01<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">&lt; 0.01<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">&lt; 0.01<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="8.09%">4<p style="text-align:center"></p></td> 
      <td class="acenter" width="16.93%">Calcium<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">mg/l<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">139.5<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">138.4<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">134.4<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">134<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">&lt; 270<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="8.09%">5<p style="text-align:center"></p></td> 
      <td class="acenter" width="16.93%">BOD5<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">mg/l<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">24.1<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">18.4<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">26.1<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">25.84<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">&lt; 30<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="8.09%">6<p style="text-align:center"></p></td> 
      <td class="acenter" width="16.93%">COD<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">mg/l<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">40<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">36<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">29<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">43<p style="text-align:center"></p></td> 
      <td class="acenter" width="12.50%">&lt; 50<p style="text-align:center"></p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>The results (<xref ref-type="table" rid="table4">
     Table 4
    </xref>) show that the levels of the identified metals comply with the laboratory’s analytical criteria (<xref ref-type="table" rid="table4">
     Table 4
    </xref>). However, manganese levels in the (4) sampling sites are identical to the normal value of the laboratory’s analysis criterion, which is: &lt; 0.50 mg/l. other iron, lead and calcium levels comply with criteria, but with variations in values between sampling sites. It should be noted that iron and manganese often occur together in spring water. However, manganese is generally found in much lower concentrations according to <xref ref-type="bibr" rid="scirp.134895-19">
     [19]
    </xref>. However, in our analytical results, manganese has the highest content compared to iron.</p>
  </sec><sec id="s4">
   <title>
    <xref ref-type="bibr" rid="scirp.134895-"></xref>4. Conclusion</title>
   <p>In this work, we have processed the microbiological and chemical analysis of the water of the river “Mamouwol” in the town of Mamou in order to determine the degree of pollution of this important river for the population of the town of Mamou. To do this, we have processed a series of sampling on four (4) points of levy upstream and downstream, namely Mamou 1, 2, 3 and 4 (<xref ref-type="table" rid="table1">
     Table 1
    </xref>). Microbiological and chemical analysis using enumeration techniques and UV-visible spectrophotometry has enabled us to confirm that the four samples analyzed contain microorganisms of fecal origin, in particular pathogenic bacteria that are: salmonella; fecal streptococci; total coliforms; faecal coliforms; escherichia coli. However, the analysis showed that the content of the identified metals complied with the analytical laboratory’s criteria, and the manganese and lead contents were identical in the four sampling points at know: (0.50) et (0.01) respectively. In contrast to iron, lead and calcium, their contents present a variation of value in the four sampling sites in <xref ref-type="table" rid="table4">
     Table 4
    </xref>. A sensitization regional on the protection of this nurturer river for the town of Mamou will make a significant contribution to the sustainable management of this water resource.</p>
  </sec>
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