<?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">
    gep
   </journal-id>
   <journal-title-group>
    <journal-title>
     Journal of Geoscience and Environment Protection
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    2327-4336
   </issn>
   <issn publication-format="print">
    2327-4344
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/gep.2025.134003
   </article-id>
   <article-id pub-id-type="publisher-id">
    gep-141836
   </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>
    Wastewater and Excreta Management Evaluation in the Bukavu City, Democratic Republic of the Congo
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Papy Mukambilwa
      </surname>
      <given-names>
       Kishota
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Patrice
      </surname>
      <given-names>
       Bigumandondera
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff3"> 
      <sup>3</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Norbert
      </surname>
      <given-names>
       Manirakiza
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff4"> 
      <sup>4</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Jean-Antoine
      </surname>
      <given-names>
       Faby
      </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>
       Thierry Tangu
      </surname>
      <given-names>
       Tabou
      </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>
       Alex Lina
      </surname>
      <given-names>
       Aleke
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff7"> 
      <sup>7</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aCentre de Recherche en Sciences Naturelles et de l’Environnement (CRSNE), Doctoral School, University of Burundi, Bujumbura, Burundi
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aInstitut Supérieur Pédagogique de Kamituga, Kamituga, Democratic Republic of the Congo
    </addr-line> 
   </aff> 
   <aff id="aff3">
    <addr-line>
     aCentre Universitaire de Recherche et de Pédagogie Appliquées au Sciences (CURPAS), Université du Burundi, Bujumbura, Burundi
    </addr-line> 
   </aff> 
   <aff id="aff4">
    <addr-line>
     aCentre de Recherche en Sciences et de Perfectionnement Professionnel (CReSP), Burundi Higher Institute of Education, Bujumbura, Burundi
    </addr-line> 
   </aff> 
   <aff id="aff5">
    <addr-line>
     aAgroParis Tech, Chaire Eau pour Tous SUEZ, Montpellier, France
    </addr-line> 
   </aff> 
   <aff id="aff6">
    <addr-line>
     aDépartement des Sciences et Gestion de l’Environnement, Faculté de Sciences, Université de Kinshasa, Kinshasa, Democratic Republic of the Congo
    </addr-line> 
   </aff> 
   <aff id="aff7">
    <addr-line>
     aFaculté des Sciences, Université Officielle de Bukavu, Bukavu, Democratic Republic of the Congo
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     02
    </day> 
    <month>
     04
    </month>
    <year>
     2025
    </year>
   </pub-date> 
   <volume>
    13
   </volume> 
   <issue>
    04
   </issue>
   <fpage>
    37
   </fpage>
   <lpage>
    48
   </lpage>
   <history>
    <date date-type="received">
     <day>
      4,
     </day>
     <month>
      February
     </month>
     <year>
      2025
     </year>
    </date>
    <date date-type="published">
     <day>
      6,
     </day>
     <month>
      February
     </month>
     <year>
      2025
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      6,
     </day>
     <month>
      April
     </month>
     <year>
      2025
     </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>
    The increasing production of wastewater and excreta presents a significant management challenge in the city of Bukavu, in Democratic Republic of the Congo (DRC). The objective of this study was to evaluate the causes and consequences of poor wastewater and excreta management and their associated environmental risks in Bukavu. This study was conducted from October 15 to November 18, 2023, and encompassed 1210 households across the three municipalities of Bukavu. The research was carried out through field surveys, interviews, observations, and documentary analysis. The findings revealed that the majority of households (66%) are owner-occupied, compared to 21% by tenants. In the Bagira municipality, most households utilize manually flushed latrines (47%), whereas the use of modern toilets and pit latrines predominates in the Ibanda (67%) and Kadutu (70%) municipalities, respectively. Common disposal sites for fecal sludge include designated pits (65%), nearby canals (20%), and rivers and lakes (15%). Furthermore, over 60% of households in Bagira and more than 80% in Kadutu discharge their wastewater into open drainage channels, while over 65% of households in Ibanda discharge it into soak pits. Wastewater serves as a breeding ground for mosquitoes, which are vectors of malaria, the most prevalent disease in Bukavu. The results indicate that wastewater and excreta are predominantly managed in an unsanitary manner and are discharged into the environment. Pearson’s Chi-square test indicated a statistically significant difference (p &lt; 0.05) in wastewater discharge locations across the municipalities of Bukavu. It is imperative to intensify public awareness campaigns about the detrimental consequences of improper wastewater and excreta disposal.
   </abstract>
   <kwd-group> 
    <kwd>
     Wastewater
    </kwd> 
    <kwd>
      Fecal Sludge
    </kwd> 
    <kwd>
      Management
    </kwd> 
    <kwd>
      Bukavu City
    </kwd> 
    <kwd>
      DRC
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>The current world is undergoing rapid urbanization. The global population is projected to reach 13 billion by 2030, and urban water demands are expected to double by 2050, leading to an increase in domestic wastewater production over time (<xref ref-type="bibr" rid="scirp.141836-9">
     Hasan et al., 2021
    </xref>). Approximately 2.8 billion people in low- and middle-income countries still rely on on-site sanitation systems for wastewater disposal, with nearly half of these systems failing to adequately treat human excreta (<xref ref-type="bibr" rid="scirp.141836-#HYPERLINK  l R11">
     Jakariya et al., 2023
    </xref>). Sanitation management in this context poses significant challenges for most cities, particularly in the management of fecal sludge in urban areas where many individuals rely on individual sanitation facilities (<xref ref-type="bibr" rid="scirp.141836-24">
     Ya Lubo Shabantu et al., 2021
    </xref>).</p>
   <p>Indeed, 580 million people shared sanitation facilities with other households, and 616 million used unimproved facilities (<xref ref-type="bibr" rid="scirp.141836-24">
     Ya Lubo Shabantu et al., 2021
    </xref>). Two-thirds of individuals without any sanitation services lived in rural areas, with about half residing in sub-Saharan Africa (<xref ref-type="bibr" rid="scirp.141836-#HYPERLINK  l R14">
     Kwiringira et al., 2021
    </xref>). The discharge of wastewater and fecal sludge into open environments and rivers is common in developing countries such as Bangladesh, India, and sub-Saharan Africa (<xref ref-type="bibr" rid="scirp.141836-22">
     Singh et al., 2020
    </xref>; <xref ref-type="bibr" rid="scirp.141836-7">
     Foster et al., 2021
    </xref>; <xref ref-type="bibr" rid="scirp.141836-5">
     Chandana &amp; Rao, 2022
    </xref>).</p>
   <p>Studies conducted in African and Asian countries have highlighted gaps in fecal sludge management practices. For example, in Togo, a study in the city of Vogan revealed that nearly nine out of ten households (89.43%) had latrines. Among those without latrines, 66.67% practiced open defecation, 14.28% used neighbors’ facilities, and 19.05% used public toilets (<xref ref-type="bibr" rid="scirp.141836-#HYPERLINK  l R18">
     Nyakpo, 2022
    </xref>; <xref ref-type="bibr" rid="scirp.141836-8">
     Gbekley et al., 2023
    </xref>). A similar study in Thailand found that only 30% of the fecal sludge generated by on-site sanitation systems is managed safely, while the remaining 70% is handled unsafely (<xref ref-type="bibr" rid="scirp.141836-2">
     Alemu et al., 2023
    </xref>; <xref ref-type="bibr" rid="scirp.141836-23">
     Sisay et al., 2024
    </xref>). Additionally, research conducted in the city of Bukavu, in the Kadutu municipality, showed that most households along the “Kahuwa” river lacked septic tanks, with their toilets discharging directly into the river (<xref ref-type="bibr" rid="scirp.141836-10">
     Isidore et al., 2022
    </xref>).</p>
   <p>Bukavu faces its own sanitation challenges. With an on-site sanitation system primarily comprising latrines and septic tanks (<xref ref-type="bibr" rid="scirp.141836-#HYPERLINK  l R03">
     Bagalwa Nyamugara et al., 2024
    </xref>), poor sizing of sanitation infrastructure and mismanagement of accumulated water inevitably lead to soil and water pollution, affecting both surface and groundwater (<xref ref-type="bibr" rid="scirp.141836-4">
     Baltazar et al., 2021
    </xref>; <xref ref-type="bibr" rid="scirp.141836-6">
     Conaway et al., 2023
    </xref>). In Bukavu, few studies have addressed the issue of poor wastewater and excreta management. The works of <xref ref-type="bibr" rid="scirp.141836-10">
     Isidore et al. (2022)
    </xref> and <xref ref-type="bibr" rid="scirp.141836-3">
     Bagalwa Nyamugara et al. (2024)
    </xref> focused on analyzing fecal sludge management practices in certain neighborhoods of Bukavu. To build upon previous research, this study aims to evaluate the broader issue of poor wastewater and excreta management and its environmental risks throughout the city of Bukavu.</p>
   <p>Specifically, the study seeks to 1) identify the types of facilities households use to collect and store wastewater and excreta in Bukavu, 2) analyze the practices households employ to dispose of wastewater and excreta, and 3) identify the causes and consequences of poor wastewater and excreta management in Bukavu.</p>
  </sec><sec id="s2">
   <title>2. Material and Methods</title>
   <sec id="s2_1">
    <title>2.1. Study Area Description</title>
    <p>Bukavu is a city located in the eastern part of the Democratic Republic of the Congo (DRC), situated on the southwestern shore of Lake Kivu (<xref ref-type="fig" rid="fig1">
      Figure 1
     </xref>). Positioned at an altitude ranging from 1460 meters (lake level) to 1900 meters (Kadutu summit), it serves as the administrative center of the South Kivu province. The city shares a border with Rwanda, demarcated by the Ruzizi River and Lake Kivu (<xref ref-type="bibr" rid="scirp.141836-15">
      Lina, 2016
     </xref>).</p>
    <p>Administratively, Bukavu is divided into three municipalities: Ibanda, Kadutu, and Bagira. These municipalities cover a total area of 63 km<sup>2</sup>, of which 20 km<sup>2</sup> is water surface on the lake (<xref ref-type="bibr" rid="scirp.141836-#HYPERLINK  l R12">
      Kalikone et al., 2017
     </xref>). Kadutu was the first of the three municipalities established in Bukavu. It hosts the largest market in Bukavu, numerous schools, a university, and the city’s largest hospital. Overall, the city contains a total of 11 markets (<xref ref-type="bibr" rid="scirp.141836-#HYPERLINK  l R12">
      Kalikone et al., 2017
     </xref>).</p>
    <fig id="fig1" position="float">
     <label>Figure 1</label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.141836-"></xref>Figure 1. Study area: Bukavu city (DRC).</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2173278-rId12.jpeg?20250409103334" />
    </fig>
    <p>In 2020, the city of Bukavu had an estimated population of approximately 1.3 million, resulting in a population density of about 30,000 inhabitants per square kilometer. Based on projections with a growth rate of 4.1%, the population is expected to reach 1,942,901 by 2030 and 2,375,222 by 2035 (<xref ref-type="bibr" rid="scirp.141836-15">
      Lina, 2016
     </xref>).</p>
   </sec>
   <sec id="s2_2">
    <title>2.2. Methodology</title>
    <p>The study was based on the hypothesis that in the city of Bukavu, there is a significant correlation between the use of non-collective sanitation and hygiene-related diseases. To test this hypothesis, we employed two data collection techniques: documentary research and field data collection (observations and questionnaire surveys conducted with household heads). The questionnaire survey gathered information on the geolocation and characteristics of sanitation types, household attributes, perceptions, challenges, and health issues among the population of Bukavu. A total of 1210 household heads were surveyed between October 15 and November 18, 2023, across 17 neighborhoods, taking into account the specific characteristics and geographical locations of the neighborhoods.</p>
    <p>For data collection, the tablets were configured by installing the Kobo Collect application. The city of Bukavu is estimated to comprise 216,327 households, and for each surveyed household, only one individual was considered. Regarding household selection, a random targeting approach was employed to ensure comprehensive coverage of the sampling frame. The distribution of households to be surveyed within each neighborhood was proportional to the total number of households in that area. The sample size was calculated based on the formula provided by <xref ref-type="bibr" rid="scirp.141836-19">
      Rea and Parker (2014)
     </xref>:</p>
    <p>
     <xref ref-type="bibr" rid="scirp.141836-"></xref> 
     <math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> 
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     </math>(1)</p>
    <p>where n = sample size; N = target population size (number of households); P = expected proportion of responses from the population; t<sub>p</sub> = sampling confidence interval; and y = sampling margin of error. Accordingly, with n representing the sample size and N the total number of households, the sampling interval t<sub>p</sub> was determined for each neighborhood using the formula t<sub>p</sub> = N/n. The first household was randomly selected within the interval [1, t<sub>p</sub>], while the remaining households were chosen following the predetermined sampling step, as calculated above (systematic sampling). In other words, the sampling fraction was iteratively added to the randomly selected starting point. In cases where a building had multiple apartments on different floors, only one household per building was included in the sample.</p>
    <p>Given the possibility of errors or incomplete forms during the survey, we increased the sample size by 5%. The total number of households surveyed was 1210. Based on the percentage distribution of households in each commune of Bukavu, we surveyed 290 households (24%) in the Bagira commune, 520 households (43%) in the Ibanda commune, and 400 households (33%) in the Kadutu commune.</p>
    <p>The data collected from survey forms and interviews were entered into an SPSS version 16 database. The analysis initially involved interpreting respondents’ opinions, with proportions determined by calculating percentages. Subsequently, cross-tabulations of different variables were conducted using SPSS version 16 to identify potential dependencies between two variables. Pearson’s Chi-square test was applied to assess deviations from independence.</p>
   </sec>
  </sec><sec id="s3">
   <title>3. Findings</title>
   <sec id="s3_1">
    <title>
     <xref ref-type="bibr" rid="scirp.141836-"></xref>3.1. Characteristics of Surveyed Households</title>
    <p>According to the distribution of household living standards in the city of Bukavu, Bagira primarily hosts middle-income households, accounting for 82.3%, while 17.7% belong to the low-income category (<xref ref-type="fig" rid="fig2">
      Figure 2
     </xref>). The Ibanda municipality is predominantly characterized by high-income households, comprising 74.1%, with middle-income households making up 25.9%. In contrast, the Kadutu municipality is mainly populated by low-income households, which represent 89.5%, while middle-income households account for 10.5%.</p>
    <p>
     <xref ref-type="bibr" rid="scirp.141836-"></xref></p>
    <fig id="fig2" position="float">
     <label>Figure 2</label>
     <caption>
      <title>Figure 2. Households categories.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2173278-rId15.jpeg?20250409103337" />
    </fig>
    <fig id="fig3" position="float">
     <label>Figure 3</label>
     <caption>
      <title>Figure 3. Household occupation status.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2173278-rId16.jpeg?20250409103337" />
    </fig>
    <p>The majority of housing units (66%) are occupied by owners, 21% by tenants, and 13% are provided without charge (<xref ref-type="fig" rid="fig3">
      Figure 3
     </xref>).</p>
    <p>The majority of households in the Bagira commune predominantly use manually flushed latrines (47%), whereas the use of modern toilets and pit latrines is significantly more prevalent in the Ibanda (67%) and Kadutu (70%) communes, respectively (<xref ref-type="fig" rid="fig4">
      Figure 4
     </xref>).</p>
    <fig id="fig4" position="float">
     <label>Figure 4</label>
     <caption>
      <title>Figure 4. Types of toilets used by households.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2173278-rId17.jpeg?20250409103339" />
    </fig>
   </sec>
   <sec id="s3_2">
    <title>3.2. Wastewater Disposal Sites and Sludge Dumping Locations</title>
    <p>In the city of Bukavu, 61.4% of households in Bagira and 35.8% of households in Kadutu discharge their wastewater into drainage ditches, whereas over 69.8% of households in Ibanda discharge into seepage wells (<xref ref-type="table" rid="table1">
      Table 1
     </xref>).</p>
    <table-wrap id="table1">
     <label>
      <xref ref-type="table" rid="table1">
       Table 1
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.141836-"></xref>Table 1. Cross-referencing the origin and location of wastewater discharges.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td rowspan="2" class="acenter" width="35.71%" colspan="3"><p style="text-align:center"></p></td> 
       <td class="custom-bottom-td acenter" width="55.04%" colspan="5"><p style="text-align:center">Waste water discharge</p></td> 
       <td rowspan="1" class="acenter" width="9.25%"><p style="text-align:center">Total</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="11.00%"><p style="text-align:center">Gutter</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="11.01%"><p style="text-align:center">Courtyard</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="11.01%"><p style="text-align:center">street</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="11.01%"><p style="text-align:center">Sinkhole</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="11.01%"><p style="text-align:center">River</p></td> 
      </tr> 
      <tr> 
       <td rowspan="6" class="custom-top-td acenter" width="12.51%"><p style="text-align:center">Municipality</p></td> 
       <td rowspan="2" class="custom-top-td acenter" width="12.50%"><p style="text-align:center">Bagira</p></td> 
       <td class="custom-top-td acenter" width="10.71%"><p style="text-align:center">Number</p></td> 
       <td class="custom-top-td acenter" width="11.00%"><p style="text-align:center">178</p></td> 
       <td class="custom-top-td acenter" width="11.01%"><p style="text-align:center">21</p></td> 
       <td class="custom-top-td acenter" width="11.01%"><p style="text-align:center">15</p></td> 
       <td class="custom-top-td acenter" width="11.01%"><p style="text-align:center">1</p></td> 
       <td class="custom-top-td acenter" width="11.01%"><p style="text-align:center">75</p></td> 
       <td class="custom-top-td acenter" width="9.25%"><p style="text-align:center">290</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="10.71%"><p style="text-align:center">%</p></td> 
       <td class="custom-bottom-td acenter" width="11.00%"><p style="text-align:center">61.4</p></td> 
       <td class="custom-bottom-td acenter" width="11.01%"><p style="text-align:center">7.2</p></td> 
       <td class="custom-bottom-td acenter" width="11.01%"><p style="text-align:center">5.2</p></td> 
       <td class="custom-bottom-td acenter" width="11.01%"><p style="text-align:center">0.3</p></td> 
       <td class="custom-bottom-td acenter" width="11.01%"><p style="text-align:center">25.9</p></td> 
       <td class="custom-bottom-td acenter" width="9.25%"><p style="text-align:center">100</p></td> 
      </tr> 
      <tr> 
       <td rowspan="2" class="custom-top-td acenter" width="12.50%"><p style="text-align:center">Ibanda</p></td> 
       <td class="custom-top-td acenter" width="10.71%"><p style="text-align:center">Number</p></td> 
       <td class="custom-top-td acenter" width="11.00%"><p style="text-align:center">87</p></td> 
       <td class="custom-top-td acenter" width="11.01%"><p style="text-align:center">12</p></td> 
       <td class="custom-top-td acenter" width="11.01%"><p style="text-align:center">22</p></td> 
       <td class="custom-top-td acenter" width="11.01%"><p style="text-align:center">363</p></td> 
       <td class="custom-top-td acenter" width="11.01%"><p style="text-align:center">36</p></td> 
       <td class="custom-top-td acenter" width="9.25%"><p style="text-align:center">520</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="10.71%"><p style="text-align:center">%</p></td> 
       <td class="custom-bottom-td acenter" width="11.00%"><p style="text-align:center">16.7</p></td> 
       <td class="custom-bottom-td acenter" width="11.01%"><p style="text-align:center">2.3</p></td> 
       <td class="custom-bottom-td acenter" width="11.01%"><p style="text-align:center">4.2</p></td> 
       <td class="custom-bottom-td acenter" width="11.01%"><p style="text-align:center">69.8</p></td> 
       <td class="custom-bottom-td acenter" width="11.01%"><p style="text-align:center">6.9</p></td> 
       <td class="custom-bottom-td acenter" width="9.25%"><p style="text-align:center">100</p></td> 
      </tr> 
      <tr> 
       <td rowspan="2" class="custom-top-td acenter" width="12.50%"><p style="text-align:center">Kadutu</p></td> 
       <td class="custom-top-td acenter" width="10.71%"><p style="text-align:center">Number</p></td> 
       <td class="custom-top-td acenter" width="11.00%"><p style="text-align:center">143</p></td> 
       <td class="custom-top-td acenter" width="11.01%"><p style="text-align:center">51</p></td> 
       <td class="custom-top-td acenter" width="11.01%"><p style="text-align:center">33</p></td> 
       <td class="custom-top-td acenter" width="11.01%"><p style="text-align:center">140</p></td> 
       <td class="custom-top-td acenter" width="11.01%"><p style="text-align:center">33</p></td> 
       <td class="custom-top-td acenter" width="9.25%"><p style="text-align:center">400</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="10.71%"><p style="text-align:center">%</p></td> 
       <td class="custom-bottom-td acenter" width="11.00%"><p style="text-align:center">35.8</p></td> 
       <td class="custom-bottom-td acenter" width="11.01%"><p style="text-align:center">12.8</p></td> 
       <td class="custom-bottom-td acenter" width="11.01%"><p style="text-align:center">8.3</p></td> 
       <td class="custom-bottom-td acenter" width="11.01%"><p style="text-align:center">35</p></td> 
       <td class="custom-bottom-td acenter" width="11.01%"><p style="text-align:center">8.3</p></td> 
       <td class="custom-bottom-td acenter" width="9.25%"><p style="text-align:center">100</p></td> 
      </tr> 
      <tr> 
       <td rowspan="2" class="custom-top-td acenter" width="25.01%" colspan="2"><p style="text-align:center">Total</p></td> 
       <td class="custom-top-td acenter" width="10.71%"><p style="text-align:center">Number</p></td> 
       <td class="custom-top-td acenter" width="11.00%"><p style="text-align:center">408</p></td> 
       <td class="custom-top-td acenter" width="11.01%"><p style="text-align:center">84</p></td> 
       <td class="custom-top-td acenter" width="11.01%"><p style="text-align:center">70</p></td> 
       <td class="custom-top-td acenter" width="11.01%"><p style="text-align:center">504</p></td> 
       <td class="custom-top-td acenter" width="11.01%"><p style="text-align:center">144</p></td> 
       <td class="custom-top-td acenter" width="9.25%"><p style="text-align:center">1210</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="10.71%"><p style="text-align:center">%</p></td> 
       <td class="acenter" width="11.00%"><p style="text-align:center">33.7</p></td> 
       <td class="acenter" width="11.01%"><p style="text-align:center">6.9</p></td> 
       <td class="acenter" width="11.01%"><p style="text-align:center">5.8</p></td> 
       <td class="acenter" width="11.01%"><p style="text-align:center">41.7</p></td> 
       <td class="acenter" width="11.01%"><p style="text-align:center">12</p></td> 
       <td class="acenter" width="9.25%"><p style="text-align:center">100</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>Chi-square tests of Pearson: 164.524<sup>a</sup>, Likelihood ratio 195, 729; ddl: 8, p &lt; 0.05.</p>
    <p>The survey conducted in the three municipalities reveals that the common disposal sites for emptied materials are as follows: constructed pits (65%), nearby canals (20%), and various other locations such as rivers and lakes (15%) (<xref ref-type="fig" rid="fig5">
      Figure 5
     </xref>).</p>
    <fig id="fig5" position="float">
     <label>Figure 5</label>
     <caption>
      <title>Figure 5. Dumping sites for sludge.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2173278-rId18.jpeg?20250409103339" />
    </fig>
   </sec>
   <sec id="s3_3">
    <title>
     <xref ref-type="bibr" rid="scirp.141836-"></xref>3.3. Causes and Consequences of Poor Wastewater and Excreta Management</title>
    <p>The results obtained from our respondents indicate that 47% of our sample assert that the incivility of the population is the primary cause of the inadequate management of waste in the city of Bukavu. This is followed by unregulated construction and the lack of state involvement, each representing 18% of the sample size (<xref ref-type="fig" rid="fig6">
      Figure 6
     </xref>).</p>
    <fig id="fig6" position="float">
     <label>Figure 6</label>
     <caption>
      <title>Figure 6. Causes of poor management of wastewater sludge and excreta.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2173278-rId19.jpeg?20250409103340" />
    </fig>
    <p>The findings obtained (<xref ref-type="fig" rid="fig7">
      Figure 7
     </xref>) from our survey indicate that 56% of the respondents recognize that inadequate management of wastewater and excreta contributes to the proliferation of diseases in the city of Bukavu. This highlights a significant level of awareness among the population regarding the public health risks associated with poor sanitation practices</p>
    <fig id="fig7" position="float">
     <label>Figure 7</label>
     <caption>
      <title>Figure 7. Consequences of poor wastewater and excreta management.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2173278-rId20.jpeg?20250409103340" />
    </fig>
   </sec>
  </sec><sec id="s4">
   <title>4. Findings Discussion</title>
   <sec id="s4_1">
    <title>4.1. Characteristics of Surveyed Households</title>
    <p>The results obtained in the city of Bukavu indicate that over 60% of households are owner-occupied, while less than 15% are tenant-occupied (<xref ref-type="fig" rid="fig3">
      Figure 3
     </xref>). This parameter is significant as it provides insights into the sanitary conditions of their homes, given their relatively long-term residence. Additionally, it would be relatively easier to encourage these homeowners to invest in improving their wastewater and excreta treatment facilities (<xref ref-type="bibr" rid="scirp.141836-15">
      Lina, 2016
     </xref>).</p>
    <p>The findings of this study are consistent with those of <xref ref-type="bibr" rid="scirp.141836-18">
      Nyakpo (2022)
     </xref> in the city of Vogan, where 53.42% of households were owner-occupied, 16.44% were occupied by family members of the owner, and 30.14% were tenant-occupied.</p>
    <p>For social categories (<xref ref-type="fig" rid="fig2">
      Figure 2
     </xref>), the Bagira commune predominantly hosts middle-class households (82.3%), Ibanda is mainly occupied by high-income households (74.1%), and Kadutu by low-income households (89.5%). The majority of households in Bagira commune use manual flush latrines (47%), while modern toilets and pit latrines dominate in the Ibanda (67%) and Kadutu (70%) communes, respectively (<xref ref-type="fig" rid="fig4">
      Figure 4
     </xref>).</p>
    <p>This indicates that household income influences the type of toilet facilities installed in homes. High-income households tend to install septic tanks, while low-income households rely on traditional or pit latrines. The latter pose significant health and environmental risks and should be replaced with facilities that are more health- and environmentally-friendly (<xref ref-type="bibr" rid="scirp.141836-#HYPERLINK  l R01">
      Aissi et al., 2023
     </xref>).</p>
    <p>Traditional latrines do not provide a barrier between the user and excreta. Populations using such facilities are not considered to have access to adequate sanitation as per the Sustainable Development Goals (SDGs). It is therefore crucial to support these populations in acquiring sanitation facilities that ensure reliable health and environmental protection. Otherwise, the situation risks becoming more chaotic by the SDG deadline (<xref ref-type="bibr" rid="scirp.141836-#HYPERLINK">
      Nguea, 2024
     </xref>).</p>
    <p>These findings align with those of <xref ref-type="bibr" rid="scirp.141836-3">
      Bagalwa Nyamugara (2024)
     </xref>, who reported that 69.3% and 47.3% of high- and middle-income social categories, respectively, used modern toilets with septic tanks. In contrast, low-income households predominantly used traditional latrines (41.3%) or pit latrines (36%).</p>
   </sec>
   <sec id="s4_2">
    <title>4.2. Wastewater Disposal Sites and Sludge Dumping Locations</title>
    <p>Regarding the common sites for the disposal of wastewater and septic sludge, survey results (<xref ref-type="fig" rid="fig5">
      Figure 5
     </xref>) indicate that septic sludge is primarily discharged into designated pits (65%), nearby drainage channels (20%), and rivers and lakes (15%). As for wastewater (<xref ref-type="fig" rid="fig1">
      Figure 1
     </xref>), over 60% of households in Bagira and more than 80% of households in Kadutu discharge their wastewater into drains, while over 65% of households in Ibanda release their wastewater into leach pits.</p>
    <p>The cross-tabulation percentages represent the occurrences where each municipality discharges its wastewater (<xref ref-type="table" rid="table1">
      Table 1
     </xref>). The data reveal that all municipalities discharge wastewater into drainage channels, with Bagira (middle-income) leading, followed by Kadutu (low-income). Notably, in Kadutu, soak pits are also used for wastewater management, whereas in Ibanda (high-income), wastewater is predominantly discharged into rivers. Pearson’s Chi-square test yielded a high coefficient of 164.524, with a Likelihood Ratio of 195.729 for 1210 valid observations. These results indicate a statistically significant difference (p &lt; 0.05) in wastewater discharge locations across the municipalities of Bukavu.</p>
    <p>The current wastewater and septic sludge management practices in the city of Bukavu have significant public health and environmental consequences. They notably contribute to the pollution of water bodies that could potentially be used for drinking. The high prevalence of malaria could be attributed to the development of mosquito larvae in stagnant wastewater pools (<xref ref-type="bibr" rid="scirp.141836-13">
      Kawata et al., 2024
     </xref>). Diarrheal diseases and intestinal parasitoses are likely caused by the ingestion of pathogens due to poor sanitation conditions (<xref ref-type="bibr" rid="scirp.141836-24">
      Ya Lubo Shabantu et al., 2021
     </xref>). Ensuring better management of wastewater and excreta would help improve the health of the population in the city of Bukavu (<xref ref-type="bibr" rid="scirp.141836-#HYPERLINK  l R01">
      Aissi et al., 2023
     </xref>).</p>
    <p>These findings reinforce those already reported by <xref ref-type="bibr" rid="scirp.141836-10">
      Isidore et al. (2022)
     </xref> in the Kadutu commune, which indicate that the so-called “other” practice involves discharging the contents of septic tanks into rivers or drains, both of which rely on manual emptying. It is important to note that these practices have harmful health and environmental consequences. The city of Bukavu lacks a sludge treatment facility. The majority of households are unaware of the existence of a sludge treatment station, which results in a situation where sludge emptiers discharge the waste anywhere, disregarding any protective measures for the surrounding population and the receiving environment.</p>
   </sec>
   <sec id="s4_3">
    <title>4.3. Causes and Consequences of Poor Wastewater and Excreta Management</title>
    <p>The survey results presented on <xref ref-type="fig" rid="fig6">
      Figure 6
     </xref> indicate that 47% of our sample identify public incivility as the primary cause of poor excreta management in the city of Bukavu. These findings align with those of <xref ref-type="bibr" rid="scirp.141836-10">
      Isidore et al. (2022)
     </xref> in the Kadutu municipality. Other cited causes include anarchic construction and the lack of state involvement, each accounting for 18% of the responses.</p>
    <p>Despite this, 56% of respondents acknowledge that poor wastewater and excreta management leads to the proliferation of diseases in Bukavu, a result consistent with the findings of <xref ref-type="bibr" rid="scirp.141836-15">
      Lina (2016)
     </xref> in the same city. It is important to note that untreated wastewater contains various excreted organisms, including pathogenic agents. To address this issue, it would be essential to implement public information, awareness, and environmental education programs, while also enforcing legal regulations when necessary (<xref ref-type="bibr" rid="scirp.141836-21">
      Singh et al., 2021
     </xref>).</p>
    <p>Studies have also supported the conclusion that proper wastewater management practices effectively reduce diarrheal diseases (<xref ref-type="bibr" rid="scirp.141836-20">
      Shukla et al., 2023
     </xref>). In several countries, wastewater and excreta treatment and valorization are now mandatory to improve sanitary conditions. Various reuse options are available depending on the treatment processes, including agricultural irrigation, recreational and municipal reuse, groundwater recharge, aquaculture, and land application. However, these applications require water quality standards appropriate for each specific use (<xref ref-type="bibr" rid="scirp.141836-16">
      Nasim et al., 2022
     </xref>).</p>
   </sec>
  </sec><sec id="s5">
   <title>5. Conclusion</title>
   <p>At the end of the study, it was noted that people’s wastewater and excreta management practices present health and environmental risks. The aim of this study was to assess the causes and consequences of the poor management of wastewater and excreta and the environmental risks involved in the city of Bukavu.</p>
   <p>We found that the population of Bukavu has poor access to wastewater and excreta management. The population’s lack of civic responsibility is the main cause, and the proliferation of disease is the consequence of poor wastewater and excreta management in Bukavu. The absence of robust public policies and of the necessary sanitation skills within the government departments responsible for sanitation, the lack of a sanitation culture among citizens and the lack of adequate financial, technical and human resources are just some of the factors that are exacerbating the situation of access to basic sanitation in the city of Bukavu. To this end, the population needs to be educated about environmental sanitation, and human, financial and technological resources need to be mobilized with a view to achieving Sustainable Development Goal 6. Semi-collective sanitation systems need to be set up and will concern to develop shared sanitation facilities that serve multiple households, particularly in densely populated urban areas where individual sanitation systems are impractical on one hand, and to build decentralized wastewater treatment units at the neighborhood level to prevent direct discharge into the environment on other hand. Finally, improved sanitation facilities need to be built for low-income households; laws and regulations need to be enforced and the development plan for the city of Bukavu needs to be reviewed.</p>
  </sec><sec id="s6">
   <title>Acknowledgements</title>
   <p>The authors express their gratitude to the University of Burundi’s Doctoral School and the Burundi Higher Institute of Education (ENS) for the multifaceted support they have received.</p>
  </sec>
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