<?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">JEP</journal-id><journal-title-group><journal-title>Journal of Environmental Protection</journal-title></journal-title-group><issn pub-type="epub">2152-2197</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jep.2021.1210041</article-id><article-id pub-id-type="publisher-id">JEP-112478</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Determination of the Toxicological Risk of Urban Waste from the City of Uvira Dumped into the North-Western Coast in Lake Tanganyika (Democratic Republic of Congo)
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lumami</surname><given-names>Kapepula Vercus</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Théophile</surname><given-names>Ndikumana</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>Njoyim</surname><given-names>Estella Buleng Tamungang</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>Musibono</surname><given-names>Dieu-Donné</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>Lukusa</surname><given-names>Mbaya Alain</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>Nsimanda</surname><given-names>Ipey Camille</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>Patricia</surname><given-names>Luis Alconero</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>Bart</surname><given-names>Van Der Bruggen</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Hydrology, Hydrobiology Research Center, Uvira, R.D. Congo</addr-line></aff><aff id="aff6"><addr-line>Process Engineering for Sustainable Systems (ProcESS), Katholieke Universiteit Leuven, Celestijnenlaan 200f, 3001 Leuven, Belgium</addr-line></aff><aff id="aff5"><addr-line>Materials &amp;amp; Process Engineering (IMAP), Catholic University of Louvain, Place Sainte Barbe 2, B-1348 Louvain-la-Neuve, Belgium</addr-line></aff><aff id="aff3"><addr-line>Department of Chemistry, Faculty of Science, University of Dschang, Dschang, Cameroon</addr-line></aff><aff id="aff2"><addr-line>Department of Chemistry, University of Burundi, Bujumbura, Burundi</addr-line></aff><aff id="aff4"><addr-line>Department of the Environment, University of Kinshasa, Kinshasa, D.R. Congo</addr-line></aff><pub-date pub-type="epub"><day>14</day><month>10</month><year>2021</year></pub-date><volume>12</volume><issue>10</issue><fpage>677</fpage><lpage>693</lpage><history><date date-type="received"><day>19,</day>	<month>August</month>	<year>2021</year></date><date date-type="rev-recd"><day>12,</day>	<month>October</month>	<year>2021</year>	</date><date date-type="accepted"><day>15,</day>	<month>October</month>	<year>2021</year></date></history><permissions><copyright-statement>&#169; 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><p>
 
 
  This study focuses on determining the toxicological risks of urban waste from the city of Uvira, discharged into Lake Tanganyika, on the surrounding population. Volatile organic compounds were measured in a variety of solid waste matrices, including inorganic micropollutants in wastewater and fish. The concentrations of Hg and Pb in the lake were found to be 1.21 and 1.42 μg/L respectively and between 0.83 to 18.36 μg/L of Hg and 8.25 to 670 μg/L of Pb, at the collector outlet. The presence of trace metallic elements, such as Cr, Co, Ni, Cu, Zn, As, Sb, Hg and Pb, were detected at high concentrations compared to the WHO standard. An ecotoxicology experiment herein on wastewater samples showed lethal pollutant concentrations of the order of 0.0055 mL/mL which killed at least 50% of fish (LC50), confirming the toxicity of the wastewater. These potentially harmful effluents also contain volatile organic compounds originating in high concentration from the pharmaceutical discharges of the general Uvira hospital, in particular: toluene, ethylbenzene, m-xylene/p-xylene, o-xylene and chloroform in higher concentrations compared to the norm. Other components such as benzene, bromodichloroethane and 1,1-dichloroethane were found to be present, but at a concentration below 0.05 ppb. A variety of trace organics can be suspected to be present as well.
 
</p></abstract><kwd-group><kwd>Lake Tanganyika</kwd><kwd> Lethal Dose</kwd><kwd> Volatile Organic Compounds</kwd><kwd> Heavy Metals</kwd><kwd> Water Pollution</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The hydrosphere is among the ecosystems most threatened by the impact of anthropogenic effects over the past century [<xref ref-type="bibr" rid="scirp.112478-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.112478-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.112478-ref3">3</xref>]. Living things can be exposed to a large number of xenobiotics, synthetic or natural (toxins), from microorganisms, plants or animals, which can disrupt the normal metabolic pro- cesses of a person or animal and thus are harmful to the body. These can be toxic products, such as environmental pollutants (metals, pesticides and plant protection products, polychlorinated hydrocarbons and non-medicinal narcotics [<xref ref-type="bibr" rid="scirp.112478-ref4">4</xref>]. More recently, micropollutants are linked to diffuse emissions of particles and domestic practices [<xref ref-type="bibr" rid="scirp.112478-ref5">5</xref>]. Among the most commonly encountered organic micropollutants are 1,4-dichlorobenzene, 1,1-dichloroethane, toluene, xylenes, ethylenediaminetetraacetic acid EDTA and acetone [<xref ref-type="bibr" rid="scirp.112478-ref6">6</xref>]. In addition, there are also pharmaceuticals and stimulants such as caffeine, salicylic acid and diclofenac. It is interesting to note that the low concentration of trace organic compounds in wastewater and their low biodegradability make their treatment difficult in intensive purification processes [<xref ref-type="bibr" rid="scirp.112478-ref7">7</xref>].</p><p>Heavy metal pollution has become a concern because industrial wastewater containing copper, cadmium, zinc, lead, mercury and manganese etc. are often deliberately or accidentally released into local water resources [<xref ref-type="bibr" rid="scirp.112478-ref8">8</xref>]. The treatment of heavy metals is of particular concern because of their resistant nature and their persistence in the environment [<xref ref-type="bibr" rid="scirp.112478-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.112478-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.112478-ref11">11</xref>].</p><p>Unlike organic contaminants, heavy metals tend to accumulate in living organisms and many heavy metals are known to be toxic or carcinogenic like Cadmium (Cd), mercury (Hg) and lead (Pb) [<xref ref-type="bibr" rid="scirp.112478-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.112478-ref13">13</xref>]. Toxic heavy metals present special concerns in industrial wastewater treatment containing zinc, copper, nickel, mercury, cadmium, lead and chromium [<xref ref-type="bibr" rid="scirp.112478-ref10">10</xref>]. They are transferred through the aquatic environment to fish, humans and other piscivorous animals and can have negative impacts on the environment and human health [<xref ref-type="bibr" rid="scirp.112478-ref14">14</xref>]. Thus, aquatic life may be exposed to high concentrations of heavy metals and trace metals depending on their bioavailability and the particular organism exposed and may become persistent in the environment and constitute a degradation challenge aggravated by the lack of available data [<xref ref-type="bibr" rid="scirp.112478-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.112478-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.112478-ref17">17</xref>]. The problems associated with heavy metal contamination were first highlighted in industrialized countries, due to their larger industrial developments, and especially following accidents due to cadmium pollution in Sweden, and mercury in Japan (Minamata disease from 1949 to 1965) [<xref ref-type="bibr" rid="scirp.112478-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.112478-ref19">19</xref>].</p><p>The level of industrial activities is lower in most African countries, with 19% in North Africa and 14% in Sub-Saharan Africa, thus allowing activities to be monitored. This contributes to increased productivity, reduction of waste and emissions, and management of energy consumption [<xref ref-type="bibr" rid="scirp.112478-ref20">20</xref>]. There is growing awareness of the need to rationally manage aquatic resources and in particular to control waste discharges into the environment [<xref ref-type="bibr" rid="scirp.112478-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.112478-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.112478-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.112478-ref24">24</xref>].</p><p>In Africa, population growth, rural exodus and the degradation of the environment constitute great threats which weigh on humanity. Indeed, the growing population is increasingly concentrated in the cities. All of the foregoing can dangerously affect aquatic ecosystems and pose a long-term danger to human existence.</p><p>The demography of the Democratic Republic of Congo (DRC) is high hence poor soil occupation due to anarchic constructions mainly situated at the base of erosions. Moreover, the technique locally used to fight against these erosions is the installation of bins to retain the soil which goes a long way to explain the abundance of waste in the Democratic Republic of Congo. This calls for urban waste management as a major concern for the preservation of the environment [<xref ref-type="bibr" rid="scirp.112478-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.112478-ref26">26</xref>]. The city of Uvira, located in the province of South Kivu in the east of the Democratic Republic of Congo and in the North-west of Lake Tanganyika, is encountering a critical pollution problem due to lack of a sewer network, as well as a liquid and solid waste treatment plant. Consequently, all of the household waste, both solid and liquid, is dumped in the gutters of several avenues of the municipalities from where they are carried to Lake Tanganyika [<xref ref-type="bibr" rid="scirp.112478-ref26">26</xref>].</p><p>This is the case of the large collector built by the Belgian Technical Cooperation, which carries hospital effluents from the Uvira General Reference Hospital and effluents from the central prison of Uvira to Lake Tanganyika.</p><p>Meanwhile, the population obtains water for domestic use from the shore of Lake Tanganyika, fishing is done near the coast between 0 and 5 meters deep [<xref ref-type="bibr" rid="scirp.112478-ref27">27</xref>]. It is therefore possible that the population is infected with water-borne diseases due to the contamination of coastal waters. The various annual reports of the health zone of Uvira in the Democratic Republic of Congo have established cases of water-borne diseases in the city from 2014-2019 as shown in <xref ref-type="table" rid="table1">Table 1</xref> below.</p><p>The main aim of this work was to determine the toxicity caused by waste discharged into Lake Tanganyika, due to lack of proper sanitation, and the negative impacts of this situation of the inhabitants of Uvira. In a previous study [<xref ref-type="bibr" rid="scirp.112478-ref28">28</xref>], the threat of physico-chemical pollution on the lake coast was studied. The present work is geared towards the development of a master plan for the management of liquid and solid effluents in the countries bordering Lake Tanganyika as well as everywhere else, and to develop strategies for the elimination of wastewater pollutants.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Annual statistics of water-borne diseases and disseminated by water-related vectors (HGR Uvira)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle"  colspan="2"  >2014</th><th align="center" valign="middle"  colspan="2"  >2015</th><th align="center" valign="middle"  colspan="2"  >2016</th><th align="center" valign="middle"  colspan="2"  >2017</th><th align="center" valign="middle"  colspan="2"  >2018</th><th align="center" valign="middle"  colspan="2"  >2019</th></tr></thead><tr><td align="center" valign="middle" >Disease</td><td align="center" valign="middle" >Case</td><td align="center" valign="middle" >Death</td><td align="center" valign="middle" >Case</td><td align="center" valign="middle" >Death</td><td align="center" valign="middle" >Case</td><td align="center" valign="middle" >Death</td><td align="center" valign="middle" >Case</td><td align="center" valign="middle" >Death</td><td align="center" valign="middle" >Case</td><td align="center" valign="middle" >Death</td><td align="center" valign="middle" >Case</td><td align="center" valign="middle" >Death</td></tr><tr><td align="center" valign="middle" >Cholera</td><td align="center" valign="middle" >1914</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >1364</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >1434</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >1266</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >1078</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >959</td><td align="center" valign="middle" >11</td></tr><tr><td align="center" valign="middle" >Typhoid</td><td align="center" valign="middle" >15,128</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >18,994</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >22,415</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >18,582</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >17,896</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Diarrhea</td><td align="center" valign="middle" >1474</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >11,500</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >13,318</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >14,847</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >11,783</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Malaria</td><td align="center" valign="middle" >46,184</td><td align="center" valign="middle" >175</td><td align="center" valign="middle" >59,475</td><td align="center" valign="middle" >64</td><td align="center" valign="middle" >69,216</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >72,915</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >50,005</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Hepatitis</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >86</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >44</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Histosomiasis</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >114</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>Annual reports from the Uvira/South Kivu health zone in the Democratic Republic of Congo.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Presentation of the Study Environment</title><p><xref ref-type="fig" rid="fig1">Figure 1</xref> shows the study area, as located by Google Earth and the Arc GIS version 9.3 software. The GPS enabled the geographic coordinates of the sampling sites to be determined. Wastewater was collected at point S4 with coordinates 029˚08'39.0'' longitude N and 03˚24'26.3'' latitude E and was taken to the aquarium room of the Hydrobiology research Center for experiments.</p><p><xref ref-type="fig" rid="fig1">Figure 1</xref> shows the sites of fish capture in blue and green colors. This study was mainly centered around these sites. The site in yellow color shows the facility in which water samples from Lake Tanganyika were diluted in aquariums in order to determine the pollutant doses therein</p><p>From a geological point of view, the slope of the western edge of the graben of Lake Tanganyika is represented by a metamorphosed Precambrian ensemble and a Cenozoic ensemble which is a superficial formation [<xref ref-type="bibr" rid="scirp.112478-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.112478-ref30">30</xref>]. These are sediments from Precambrian rocks (schists, quartzophyllades, quartzites, mica schists, gneisses, migmatites, dolomitic limestones and mylonites) which undergo physical alteration and their particles form these substrates in our sampling sites.</p><p>The rocks are interspersed in veins of white quartz, amphibolite lenses and pegmatite [<xref ref-type="bibr" rid="scirp.112478-ref30">30</xref>]. The two fish sampling sites in the littoral zone of Lake Tanganyika are close and present the same characteristics, for example the vegetation consists of reeds (Phragmites australis) associated with lawn and the presence of sediments predominantly made up of quartzite, quartz and pegmatite gravels with a diameter of more or less 7 to 11 cm with the presence of green algae growing thereon.</p><p>Natural sand and silt in small quantities were also observed along the shoreline of the sampling site. Fish sampling at Site 7 was located 20 m away from homes.</p></sec><sec id="s2_2"><title>2.2. Methodology</title><p>The samples used for analysis of the metallic trace elements were etched with 8 ml HNO<sub>3</sub> 65% to ensure the perfect dissolution of the residual metal particles and 2 ml H<sub>2</sub>O<sub>2</sub> 35%; measured with ICP-MS: Thermo Scientific XSERIES 2 Quadrupole Inductively Coupled Plasma Mass Spectrometer (ICP-MS).</p><p>Volatile organic compounds with boiling points below 200˚C, were determined using a hybrid method [<xref ref-type="bibr" rid="scirp.112478-ref31">31</xref>]. The method uses a Gas chromatographic/mass spectrometric procedure with sample introduction by means of purging and trapping in order to analyze several compounds. A short, narrow I.D. SPB- 624 column was used to shorten the analysis time to under 11 minutes. A high desorbed flow through the trap was necessary to prevent band broadening of the gaseous VOCs. This was accomplished by increasing the split ratio, thus increasing the total flow through the trap during desorption.</p><p>The method calibration data: 8260 /Haps/Method/Analyze/Headspace/ER_HSS_Tri-Bed_PPB_Quant.mth on the peak search parameters were as follows: Peak resolution: 5; Sound level multiplier: 2000; Minimum area: 50,000; Minimum width: 7; Maximum width: 70; Minimum adjustment: 0.900; Minimum purity: 0.400; Analysis time: 10.</p><p>An inert gas was bubbled through a vessel containing the water sample. The volatile organic compounds partitioned into the gas phase were transported to a sorbent trap, where they are adsorbed. After the purge cycle, the sorbent trap was heated and the volatiles were swept into the GC column, where they were separated on the basis of their boiling points. The gas chromatograph was connected directly to a mass spectrometer which had bombarded the compounds with electrons as they sequentially exited the GC column. The resulting fragments, which have unique charge and mass characteristics for each compound, were detected by the mass detector of the spectrometer. The signal from the mass detector was used to construct a compound mass spectrum which was used to identify the compound. The detector signal intensities for the selected ions unique to each target compound were used to quantify the amount of the compound in the sample.</p><p>The toxicity tests were carried out in the aquariums of the Hydrobiology Research Center (HRC-Uvira) by bio-tests during which the fish have been exposed to a given pollutant in order to assess the concentration levels causing death.</p><p>Coastal fish of economic importance due to its consumption by the population were caught on two rocky sites and considered unpolluted in Lake Tanganyika.</p><p>This population of aquatic organisms was exposed to polluted wastewater at different concentrations of raw effluent that were successively diluted by a decimal dilution (10<sup>0</sup>, 10<sup>−1</sup>, 10<sup>−9</sup>), in aquaria for 96 hours to estimate the toxicity in order to assess the concentration levels causing toxic effects.</p><p>These tests were carried out under controlled light conditions in a well ventilated non-cumbersome aquarium room at room temperature between 24˚C to 25˚C.</p><p>Furthermore, an air pump was used to oxygenate the water. An aquarium served as the control solution for the water samples from the lake, and in each dilution aquarium there were 20 individual fishes. The LC50 calculation method was used according to the literature [<xref ref-type="bibr" rid="scirp.112478-ref32">32</xref>] [<xref ref-type="bibr" rid="scirp.112478-ref33">33</xref>].</p><p>The least squares method consists in minimizing the sum of the squares of the deviations, in multidimensional cases between each point of the regression cloud and its projection that is parallel to the y-axis on the regression line.</p></sec></sec><sec id="s3"><title>3. Results and Discussion</title><sec id="s3_1"><title>3.1. Inorganic Micropollutants</title><p>The water samples used for toxicological analysis are listed in <xref ref-type="table" rid="table2">Table 2</xref>. It is worthy of note that the water from Lake Tanganyika was used as a reference and the wastewater samples from the collector diluted by 10 to 90% were considered as indicators of the toxicological level.</p><p>The highest concentrations for the different wastewater samples are underlined.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Results of chemical analysis on aquarium water at different dilutions, in &#181;g/L</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Conc aquarium</th><th align="center" valign="middle" >Cr</th><th align="center" valign="middle" >Co</th><th align="center" valign="middle" >Ni</th><th align="center" valign="middle" >Cu</th><th align="center" valign="middle" >Zn</th><th align="center" valign="middle" >As</th><th align="center" valign="middle" >Sn</th><th align="center" valign="middle" >Sb</th><th align="center" valign="middle" >Hg</th><th align="center" valign="middle" >Pb</th></tr></thead><tr><td align="center" valign="middle" >Eau du lac</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >1.11</td><td align="center" valign="middle" >1.23</td><td align="center" valign="middle" >0.96</td><td align="center" valign="middle" >2.65</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >0.21</td><td align="center" valign="middle" >1.21</td><td align="center" valign="middle" >1.42</td></tr><tr><td align="center" valign="middle" >10%</td><td align="center" valign="middle" >3.18</td><td align="center" valign="middle" >1.42</td><td align="center" valign="middle" >3.69</td><td align="center" valign="middle" >0.87</td><td align="center" valign="middle" >0.24</td><td align="center" valign="middle" >6.09</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >2.18</td><td align="center" valign="middle" >0.83</td><td align="center" valign="middle" >&lt;0.05</td></tr><tr><td align="center" valign="middle" >20%</td><td align="center" valign="middle" >2.08</td><td align="center" valign="middle" >1.25</td><td align="center" valign="middle" >2.34</td><td align="center" valign="middle" >0.82</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >6.33</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >1.05</td><td align="center" valign="middle" >0.61</td><td align="center" valign="middle" >&lt;0.05</td></tr><tr><td align="center" valign="middle" >30%</td><td align="center" valign="middle" >3.83</td><td align="center" valign="middle" >1.64</td><td align="center" valign="middle" >3.96</td><td align="center" valign="middle" >1.72</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >5.35</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >3.01</td><td align="center" valign="middle" >0.48</td><td align="center" valign="middle" >&lt;0.05</td></tr><tr><td align="center" valign="middle" >40%</td><td align="center" valign="middle" >2.95</td><td align="center" valign="middle" >0.74</td><td align="center" valign="middle" >1.67</td><td align="center" valign="middle" >0.36</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >3.47</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >0.88</td><td align="center" valign="middle" >0.41</td><td align="center" valign="middle" >&lt;0.05</td></tr><tr><td align="center" valign="middle" >50%</td><td align="center" valign="middle" >4.92</td><td align="center" valign="middle" >1.01</td><td align="center" valign="middle" >2.79</td><td align="center" valign="middle" >1.74</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >4.3</td><td align="center" valign="middle" >0.09</td><td align="center" valign="middle" >1.08</td><td align="center" valign="middle" >0.37</td><td align="center" valign="middle" >&lt;0.05</td></tr><tr><td align="center" valign="middle" >60%</td><td align="center" valign="middle" >7.25</td><td align="center" valign="middle" >1.96</td><td align="center" valign="middle" >3.32</td><td align="center" valign="middle" >1.51</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >3.93</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >0.42</td><td align="center" valign="middle" >0.36</td><td align="center" valign="middle" >8.25</td></tr><tr><td align="center" valign="middle" >70%</td><td align="center" valign="middle" >6.2</td><td align="center" valign="middle" >0.58</td><td align="center" valign="middle" >1.69</td><td align="center" valign="middle" >1.33</td><td align="center" valign="middle" >2.24</td><td align="center" valign="middle" >4.59</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >0.33</td><td align="center" valign="middle" >&lt;0.05</td></tr><tr><td align="center" valign="middle" >80%</td><td align="center" valign="middle" >6.42</td><td align="center" valign="middle" >1.26</td><td align="center" valign="middle" >2.3</td><td align="center" valign="middle" >0.96</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >2.55</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >1.67</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >0.88</td></tr><tr><td align="center" valign="middle" >90%</td><td align="center" valign="middle" >7.15</td><td align="center" valign="middle" >0.97</td><td align="center" valign="middle" >1.55</td><td align="center" valign="middle" >1.95</td><td align="center" valign="middle" >5.34</td><td align="center" valign="middle" >2.86</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >0.31</td><td align="center" valign="middle" >0.26</td><td align="center" valign="middle" >&lt;0.05</td></tr><tr><td align="center" valign="middle" >WW Norme OMS mg&#183;l<sup>−1</sup></td><td align="center" valign="middle" >5.55 0.05</td><td align="center" valign="middle" >2.76</td><td align="center" valign="middle" >4.36 0.07</td><td align="center" valign="middle" >0.9 2</td><td align="center" valign="middle" >0.47 3</td><td align="center" valign="middle" >7.09 0.01</td><td align="center" valign="middle" >&lt;0.05 0.01</td><td align="center" valign="middle" >1.07 0.02</td><td align="center" valign="middle" >0.22 0.01</td><td align="center" valign="middle" >&lt;0.05 0.01</td></tr></tbody></table></table-wrap><p>%: dilution in percentage, Standards: [<xref ref-type="bibr" rid="scirp.112478-ref34">34</xref>], WW: Waste Water.</p><p>Presented in <xref ref-type="table" rid="table2">Table 2</xref> are the guidelines for the quality of surface and drinking water, as updated in 2017, which are the benchmarks for drinking water safety</p><p>As can be seen from <xref ref-type="table" rid="table3">Table 3</xref>, the reference values are lower than those obtained from the effluents from the collector, except those for Hg.</p><p>High concentrations of Hg and Pb were measured in the lake with values of 1.21 and 1.42 &#181;g/L respectively. With regards to sampling in order to determine the toxicity of the effluent from the collector, the highest values were found to be: Pb: 8.25; Sb: 14; Zn: 16; Cr: 7.25; Co: 2.76; Ni: 4.36; Cu: 1.95; As: 7.09; Sn: 0.09 and Hg: 0.83 &#181;g/L. The variation of the different concentrations in the aquarium as listed in <xref ref-type="table" rid="table2">Table 2</xref> does not depend on the wastewater dilution factor as these samples were taken at the same site but on sampling time, since the samples were collected on two different days. It was observed that the variation of the concentrations could be due to the different activities carried out by the users of the said collector. It was also confirmed that concentrations at the same site could be different depending on the interval and sampling time. The wastewater was found to contain inorganic micropollutants such as heavy metals, which have a negative health and environmental impact through the contamination of aquatic environments. These micropollutants originated from domestic sources such as drugs, cosmetics, detergents, pesticides, batteries, batteries and surfactants. Since hydrophobic micropollutants such as heavy micropollutants are preferentially stored in the sediments, they represent a direct risk for organisms living or feeding in the sediments as well as the higher organisms feeding on them.</p><p>These pollutants present proven or suspected harmful effects, although their concentrations in samples from Lake Tanganyika are slightly lower than those in the collector effluents. These values are higher than those reported in literature [<xref ref-type="bibr" rid="scirp.112478-ref22">22</xref>], for which Cu &lt; 0.006 ppm; Pb is 0.007 and Zn &lt; 0.00. In addition, our results are lower than the results [<xref ref-type="bibr" rid="scirp.112478-ref35">35</xref>] whose metal concentrations are slightly higher than the effluents of the wastewater treatment plants of Jaganpur and are respectively Pb, 1480 ppb; Zn, 1159 ppb; Cd, 119 ppb; Co, 163 ppb and Cr 123 ppb whereby it was also observed that the concentrations of Cu, Zn and Cd were below the detection limit. The values in <xref ref-type="table" rid="table4">Table 4</xref> describe the interaction, during 4 days, between the fish and its polluted environment in the aquariums. Some of the fish died in some aquariums, and those that survived were killed in order to determine the bioconcentration by heavy metals.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> WHO surface water quality standard</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Element</th><th align="center" valign="middle" >Concentration normally found in surface water</th><th align="center" valign="middle" >WHO guidelines</th></tr></thead><tr><td align="center" valign="middle" >Sb</td><td align="center" valign="middle" >&lt;4 μg/l</td><td align="center" valign="middle" >0.02 mg/l</td></tr><tr><td align="center" valign="middle" >As</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.01 mg/l</td></tr><tr><td align="center" valign="middle" >Cd</td><td align="center" valign="middle" >&lt;1 &#181;g/l</td><td align="center" valign="middle" >0.003 mg/l</td></tr><tr><td align="center" valign="middle" >Cr<sup>+3</sup>, Cr<sup>+6</sup></td><td align="center" valign="middle" >&lt;2 &#181;g/l</td><td align="center" valign="middle" >Chrome total: 0.05 mg/l</td></tr><tr><td align="center" valign="middle" >Cu<sup>+2</sup></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >2 mg/l</td></tr><tr><td align="center" valign="middle" >Pb</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.01 mg/l</td></tr><tr><td align="center" valign="middle" >Hg</td><td align="center" valign="middle" >&lt;0.5 &#181;g/l</td><td align="center" valign="middle" >0.01 mg/l</td></tr><tr><td align="center" valign="middle" >Ni</td><td align="center" valign="middle" >&lt;0.02 &#181;g/l</td><td align="center" valign="middle" >0.07 mg/l</td></tr><tr><td align="center" valign="middle" >Zn</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >3 mg/l</td></tr></tbody></table></table-wrap><p>world health organization 2017, quality guidelines for drinking water.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Results of analysis of fish in aquariums with different concentrations, in &#181;g/kg</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Conc aquarium</th><th align="center" valign="middle" >Cr</th><th align="center" valign="middle" >Co</th><th align="center" valign="middle" >Ni</th><th align="center" valign="middle" >Cu</th><th align="center" valign="middle" >Zn</th><th align="center" valign="middle" >As</th><th align="center" valign="middle" >Sn</th><th align="center" valign="middle" >Sb</th><th align="center" valign="middle" >Hg</th><th align="center" valign="middle" >Pb</th></tr></thead><tr><td align="center" valign="middle" >Eau du lac</td><td align="center" valign="middle" >0.21</td><td align="center" valign="middle" >0.13</td><td align="center" valign="middle" >0.21</td><td align="center" valign="middle" >0.54</td><td align="center" valign="middle" >21.13</td><td align="center" valign="middle" >0.18</td><td align="center" valign="middle" >0.06</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >0.11</td><td align="center" valign="middle" >0.49</td></tr><tr><td align="center" valign="middle" >10%</td><td align="center" valign="middle" >0.15</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >0.28</td><td align="center" valign="middle" >4.35</td><td align="center" valign="middle" >21.03</td><td align="center" valign="middle" >0.08</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >0.08</td><td align="center" valign="middle" >0.16</td></tr><tr><td align="center" valign="middle" >20%</td><td align="center" valign="middle" >0.37</td><td align="center" valign="middle" >0.12</td><td align="center" valign="middle" >0.25</td><td align="center" valign="middle" >0.95</td><td align="center" valign="middle" >15.5</td><td align="center" valign="middle" >0.15</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >0.2</td></tr><tr><td align="center" valign="middle" >30%</td><td align="center" valign="middle" >0.27</td><td align="center" valign="middle" >0.17</td><td align="center" valign="middle" >0.17</td><td align="center" valign="middle" >0.28</td><td align="center" valign="middle" >9.49</td><td align="center" valign="middle" >0.22</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >0.11</td></tr><tr><td align="center" valign="middle" >40%</td><td align="center" valign="middle" >0.36</td><td align="center" valign="middle" >0.39</td><td align="center" valign="middle" >0.28</td><td align="center" valign="middle" >0.81</td><td align="center" valign="middle" >13.6</td><td align="center" valign="middle" >0.2</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.2</td></tr><tr><td align="center" valign="middle" >50%</td><td align="center" valign="middle" >0.42</td><td align="center" valign="middle" >0.16</td><td align="center" valign="middle" >0.25</td><td align="center" valign="middle" >0.57</td><td align="center" valign="middle" >14.31</td><td align="center" valign="middle" >0.33</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >0.23</td></tr><tr><td align="center" valign="middle" >60%</td><td align="center" valign="middle" >0.24</td><td align="center" valign="middle" >0.09</td><td align="center" valign="middle" >0.19</td><td align="center" valign="middle" >0.48</td><td align="center" valign="middle" >14.17</td><td align="center" valign="middle" >0.26</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >0.28</td></tr><tr><td align="center" valign="middle" >70%</td><td align="center" valign="middle" >0.13</td><td align="center" valign="middle" >0.1</td><td align="center" valign="middle" >0.29</td><td align="center" valign="middle" >0.57</td><td align="center" valign="middle" >14.89</td><td align="center" valign="middle" >0.21</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >0.2</td></tr><tr><td align="center" valign="middle" >80%</td><td align="center" valign="middle" >0.24</td><td align="center" valign="middle" >0.11</td><td align="center" valign="middle" >0.62</td><td align="center" valign="middle" >0.64</td><td align="center" valign="middle" >14.54</td><td align="center" valign="middle" >0.24</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >0.2</td></tr><tr><td align="center" valign="middle" >90%</td><td align="center" valign="middle" >0.1</td><td align="center" valign="middle" >0.06</td><td align="center" valign="middle" >0.09</td><td align="center" valign="middle" >0.21</td><td align="center" valign="middle" >12.47</td><td align="center" valign="middle" >0.19</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >0.13</td></tr><tr><td align="center" valign="middle" >WW Normes OMS mg&#183;l<sup>−1</sup></td><td align="center" valign="middle" >0.24</td><td align="center" valign="middle" >0.08</td><td align="center" valign="middle" >0.16</td><td align="center" valign="middle" >0.31 30</td><td align="center" valign="middle" >13.55</td><td align="center" valign="middle" >0.25 0.1</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.06 0.45</td><td align="center" valign="middle" >0.21 0.5</td></tr></tbody></table></table-wrap><p>WW: dilution with x% of Waste Water.</p><p>The underlined values in <xref ref-type="table" rid="table4">Table 4</xref> are relatively high values of heavy metal concentrations in the fish after a 96 hour-stay in the various aquariums. For the aquariums in <xref ref-type="table" rid="table4">Table 4</xref>, these values were lower in the wastewater. The effect of bioconcentration of these metals by fish was observed. The non-underlined values in <xref ref-type="table" rid="table4">Table 4</xref>, were higher in the aquariums but not bioconcentrated by the fish. This is because of a regulatory mechanism for some heavy metals in the fish as an organism. <xref ref-type="table" rid="table4">Table 4</xref> equally made it possible to assess the case fatality rate from wastewater in aquariums, which could be used for the determination of the LC50. It is necessary to emphasize that some heavy metals were bioconcentrated in fish while others were stable. The death of fishes was not only due to the presence of metals but also due to other organic pollutants. A wastewater toxicity test study on Oreochromisniloticus was conducted in the aquariums and the results are shown in <xref ref-type="table" rid="table5">Table 5</xref>.</p><p>After a stay of 24 hours in the aquaria of the Hydrobiology Research Center containing raw concentrated and diluted (to 50%) wastewater, the Oreochromis niloticus species of the Cichlidae family, Order, Perciformes, captured in Nyangara Pond developed Ectofungus all over the skin.</p><p>Investigations revealed that the fish accumulated heavy metals in their ecosystems thus an improvement to existing results. Chale in 2002 [<xref ref-type="bibr" rid="scirp.112478-ref22">22</xref>] carried out a research on Oreochromis from Lake Tanganyika and obtained the following values: Cu: 5; Mn: 0.9; Zn 28; Pb: 2.7 and Cd 0.2 &#181;g/g in the fish sampled at Utinta. For those sampled at Kirando, he reported Cu 3.5; Mn: 1.6; Zn: 58; Pb: 6.1 and Cd 0.2 &#181;g/g. These results clearly demonstrate the risk of discharging wastewater directly into Lake Tanganyika, as it has harmful consequences on biodiversity.</p><p>The results in <xref ref-type="table" rid="table6">Table 6</xref>, which made it possible to assess the lethal levels of wastewater in the aquariums, were used to determine the LC50 on the basis of daily deaths. The LC50 curves are shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>. The median lethal concentration (LC50) is a quantitative indicator of the toxicity of a substance. This indicator measures the dose of a substance causing the death of 50% of a given animal population under specific experimental conditions, usually during acute exposure.</p><p>With regards to the curve presented in <xref ref-type="fig" rid="fig2">Figure 2</xref>, it was noticed that all the twenty fishes studied were dead on the first day in the raw sewage tank (100% concentrated). After 24 hours, the deaths were observed in the aquariums diluted to 10<sup>−1</sup> and 10<sup>−2</sup>. There were no deaths in aquariums diluted from 10<sup>−9</sup> to 10<sup>−3</sup> wastewater during the 4 days. However, several observations relating to the behavior of fish have been reported, including the appearance of sores infected with cottony tufts or fungi all over the body. These pollutants damaged the fins of the fish and the swimming movement was significantly reduced. There was also exophthalmos and the presence of trematode in the aquarium containing the concentrated wastewater. The LC50 of the acute toxicity test carried out over 4 days corresponded to 0.0055 ml/ml. The LC100 was observed in raw wastewater, after a few hours which explains why the effluent is very toxic.</p><p>The values underlined in <xref ref-type="table" rid="table6">Table 6</xref>, are the bioconcentrates by the fish during 4 days in the wastewater of the aquariums. Zn and Pb are bioconcentrated while with Cu, there is more control from the aquarium by 50 to 100%. The fishes had also succeeded to stabilize metal ions such as Cr, Co, Ni, As, Sn, Sb and Hg, found in the control aquarium of Lake Tanganyika at 100%. Zinc is an essential trace element for human health. It is important for the physiological functions of</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Description of acute toxicity test on Oreochromisniloticus in aquariums expressed in mg&#183;kg<sup>−1</sup></title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="3"  >Species</th></tr></thead><tr><td align="center" valign="middle"  colspan="3"  >Oreochromis niloticus</td></tr><tr><td align="center" valign="middle"  colspan="2"  >100% concentrated waste water</td><td align="center" valign="middle" >Waste water diluted at 50%</td></tr><tr><td align="center" valign="middle" >ETM</td><td align="center" valign="middle" >X &#177; SD</td><td align="center" valign="middle" >X &#177; SD</td></tr><tr><td align="center" valign="middle" >Al</td><td align="center" valign="middle" >707.25 &#177; 419.3</td><td align="center" valign="middle" >30.33 &#177; 15.69</td></tr><tr><td align="center" valign="middle" >Cr</td><td align="center" valign="middle" >1.5 &#177; 0.57</td><td align="center" valign="middle" >0.33 &#177; 0.57</td></tr><tr><td align="center" valign="middle" >Mn</td><td align="center" valign="middle" >49.5 &#177; 17.59</td><td align="center" valign="middle" >28.33 &#177; 19.55</td></tr><tr><td align="center" valign="middle" >Ni</td><td align="center" valign="middle" >2.5 &#177; 0.57</td><td align="center" valign="middle" >2 &#177; 1</td></tr><tr><td align="center" valign="middle" >Cu</td><td align="center" valign="middle" >3.7 &#177; 0.5</td><td align="center" valign="middle" >2.66 &#177; 0.57</td></tr><tr><td align="center" valign="middle" >Zn</td><td align="center" valign="middle" >53.75 &#177; 20.48</td><td align="center" valign="middle" >50 &#177; 19</td></tr><tr><td align="center" valign="middle" >Pd</td><td align="center" valign="middle" >0.34 &#177; 0.17</td><td align="center" valign="middle" >0.033 &#177; 0.02</td></tr><tr><td align="center" valign="middle" >Ag</td><td align="center" valign="middle" >0.062 &#177; 0.060</td><td align="center" valign="middle" >0.013 &#177; 0.0057</td></tr><tr><td align="center" valign="middle" >Cd</td><td align="center" valign="middle" >0.022 &#177; 0.026</td><td align="center" valign="middle" >0.02 &#177; 0.025</td></tr><tr><td align="center" valign="middle" >Pb</td><td align="center" valign="middle" >0.76 &#177; 0.16</td><td align="center" valign="middle" >0.22 &#177; 0.026</td></tr></tbody></table></table-wrap><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Lethal dose (LC50)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Concentration</th><th align="center" valign="middle"  colspan="4"  ># Deaths</th><th align="center" valign="middle"  rowspan="2"  ># Living</th><th align="center" valign="middle"  rowspan="2"  >% Living</th></tr></thead><tr><td align="center" valign="middle" >1<sup>st</sup> day</td><td align="center" valign="middle" >2<sup>nd</sup> day</td><td align="center" valign="middle" >3<sup>rd</sup> day</td><td align="center" valign="middle" >4<sup>th</sup></td></tr><tr><td align="center" valign="middle" >10<sup>0</sup></td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >10<sup>−1</sup></td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >10<sup>−2</sup></td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >10<sup>−3</sup></td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >10<sup>−4</sup></td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >10<sup>−5</sup></td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >10<sup>−6</sup></td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >10<sup>−7</sup></td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >10<sup>−8</sup></td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >10<sup>−9</sup></td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >Witnesses</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><p>living tissue and regulates many biochemical processes. However, excess zinc in the human body can cause prominent health problems such as stomach cramps, irritation, vomiting, nausea and anemia [<xref ref-type="bibr" rid="scirp.112478-ref36">36</xref>]. Copper plays an essential role in animal metabolism but its excessive ingestion leads to serious toxicological problems such as vomiting, cramps, convulsions and even death [<xref ref-type="bibr" rid="scirp.112478-ref37">37</xref>]. The direct effects of these metals in fish are not yet well understood. In the present study, the toxicological effects of the stable metallic trace elements Hg and Pb were investigated on samples obtained from 5 different sites and the results are presented in <xref ref-type="table" rid="table7">Table 7</xref>.</p><p>According to the values in <xref ref-type="table" rid="table7">Table 7</xref>, the concentrations of Pb and Hg vary from one site to another. Evidently, the concentrations are very high at the 4 sampling sites of the collector. It is noted that these concentrations were also high in Lake Tanganyika. Among the sites investigated, the statistical difference was significant only at the central prison and household sites, with p = 0.05. Sources of Lead in the environment include foundries, metallurgy industries, coal combustion, waste incineration, batteries, electrical devices, biocides, plastics, boxes of cans contaminated with old lead pipes and certain containers glazed with lead or lead-tin alloy (false “tins”) [<xref ref-type="bibr" rid="scirp.112478-ref38">38</xref>] [<xref ref-type="bibr" rid="scirp.112478-ref39">39</xref>].</p></sec><sec id="s3_2"><title>3.2. Organic Micropollutants</title><p>These compounds are usually present in concentrations of the order of ppb (=&#181;g/L). <xref ref-type="table" rid="table8">Table 8</xref> presents the concentrations (ppb) of volatile organic compounds in the wastewater obtained from the General Reference Hospital of Uvira, the mixing of the GRH, the Central Prison and the households which are connected to the collector and the coast of Lake Tanganyika at the outlet of the collector.</p><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Monitoring of hazardous metallic trace elements in the collector</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle"  colspan="3"  >Hg (ppb)</th><th align="center" valign="middle"  colspan="3"  >Pb (ppm)</th><th align="center" valign="middle" >p-value</th></tr></thead><tr><td align="center" valign="middle" >X &#177; SD</td><td align="center" valign="middle" >Min</td><td align="center" valign="middle" >Max</td><td align="center" valign="middle" >X &#177; SD</td><td align="center" valign="middle" >Min</td><td align="center" valign="middle" >Max</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >CP</td><td align="center" valign="middle" >17.07 &#177; 0.82</td><td align="center" valign="middle" >16.032</td><td align="center" valign="middle" >18.007</td><td align="center" valign="middle" >0.41 &#177; 0.16</td><td align="center" valign="middle" >0.245</td><td align="center" valign="middle" >0.612</td><td align="center" valign="middle" >PC &amp; GH = 0.24</td></tr><tr><td align="center" valign="middle" >GH</td><td align="center" valign="middle" >13.57 &#177; 4.90</td><td align="center" valign="middle" >6.726</td><td align="center" valign="middle" >18.367</td><td align="center" valign="middle" >0.51 &#177; 0.19</td><td align="center" valign="middle" >0.379</td><td align="center" valign="middle" >0.67</td><td align="center" valign="middle" >PC &amp; GH = 0.05</td></tr><tr><td align="center" valign="middle" >HW</td><td align="center" valign="middle" >15.3 &#177; 1.36</td><td align="center" valign="middle" >13.64</td><td align="center" valign="middle" >18.007</td><td align="center" valign="middle" >0.37 &#177; 0.3</td><td align="center" valign="middle" >0.009</td><td align="center" valign="middle" >0.6</td><td align="center" valign="middle" >HW &amp; Lac = 0.38</td></tr><tr><td align="center" valign="middle" >LT</td><td align="center" valign="middle" >10.37 &#177; 4.77</td><td align="center" valign="middle" >6.801</td><td align="center" valign="middle" >17.415</td><td align="center" valign="middle" >0.3 &#177; 0.2</td><td align="center" valign="middle" >0.188</td><td align="center" valign="middle" >0.61</td><td align="center" valign="middle" >PC &amp; LT = 0.08</td></tr></tbody></table></table-wrap><p>* p &lt; 0.001: Highly significant, ** p &lt; 0.01: very significant and *** p &lt; 0.05: significant. CP: Central prison. GH: General hospital. HW: household waste. LT: Lake Tanganyika.</p><table-wrap id="table8" ><label><xref ref-type="table" rid="table8">Table 8</xref></label><caption><title> Concentrations in ppb of organic compounds in wastewater and lake Tangayika</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Compound</th><th align="center" valign="middle" >GRH</th><th align="center" valign="middle" >GRH, CP, HW</th><th align="center" valign="middle" >LT</th><th align="center" valign="middle" >Standard</th></tr></thead><tr><td align="center" valign="middle" >Benzene</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >10<sup>−4</sup></td></tr><tr><td align="center" valign="middle" >Toluene</td><td align="center" valign="middle" >0.53</td><td align="center" valign="middle" >0.678</td><td align="center" valign="middle" >0.341</td><td align="center" valign="middle" >10<sup>−4</sup></td></tr><tr><td align="center" valign="middle" >Ethylbenzene</td><td align="center" valign="middle" >0.065</td><td align="center" valign="middle" >0.071</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >10<sup>−4</sup></td></tr><tr><td align="center" valign="middle" >m-Xylene/p-Xylene</td><td align="center" valign="middle" >0.067</td><td align="center" valign="middle" >0.051</td><td align="center" valign="middle" >0.054</td><td align="center" valign="middle" >2 &#215; 10<sup>−4</sup></td></tr><tr><td align="center" valign="middle" >o-Xylene</td><td align="center" valign="middle" >0.1</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >2 &#215; 10<sup>−4</sup></td></tr><tr><td align="center" valign="middle" >Chloroform</td><td align="center" valign="middle" >0.498</td><td align="center" valign="middle" >0.983</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >10<sup>−5</sup></td></tr><tr><td align="center" valign="middle" >Bromodichloromethane</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >1,1-Dichloroethane</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >6.10<sup>−6</sup></td></tr></tbody></table></table-wrap><p>GRH: General Reference Hospital, CP: Central Prison, HW: Households waste, ppb: parts per billion.</p><p>Generally, wastewater and hospital effluent contain several organic micropollutants such as: hydrocarbons, polychlorinated biphenyls (PCB), polybrominated biphenyls (PBB), polychlorinated dibenzodioxins (PCDD), polychlorinated dibenzofurans (PCDF), detergents (or surfactants), phthalate esters, various drug substances, but these were not detected in the present study. Perhaps high performance laboratory equipment was required for their detection. Nevertheless, toluene, ethylbenzene, m-xylene/p-xylene, o-xylene and chloroform were detected at concentrations higher than the recommended standard. Benzene, bromodichloroethane, and 1,1-dichloroethane were present in the samples but in concentrations less than 0.05 ppb, which is the limit of detection for ICP-MS. The samples collected at the mixing point of the GRH, CP and H effluents before leaving Lake Tanganyika were found to contain: toluene, ethylbenzene, m-xylene/p-xylene and chloroform at concentrations above the standard but with no o-xylene.</p><p>According to our results, the hospital effluent was found to contain toluene, ethylbenzene, m-xylene/p-xylene, o-xylene and chloroform in higher concentrations than the standard. Moreover, Benzene, bromodichloroethane and 1,1-di- chloroethane were detected in these samples, but in concentrations less than 0.05 ppb, which is the ICP-MS detection limit. It was observed that the concentrations of toluene, ethylbenzene and chloroform increased during mixing, which explains the contribution of the Central Prison, which has a dispensary. In Lake Tanganyika, a high concentration of toluene and m-xylene/p-xylene was observed, compared to the standard, which presents a great danger to the biodiversity and the surrounding population that depends on this water for domestic purposes.</p><p>Very few studies on this topic have been published in literature. The research works carried out on the two rivers Rhine and IJsselmeer in Europe [<xref ref-type="bibr" rid="scirp.112478-ref40">40</xref>] [<xref ref-type="bibr" rid="scirp.112478-ref41">41</xref>] [<xref ref-type="bibr" rid="scirp.112478-ref42">42</xref>], yielded lower values than those reported in this study, in particular: 0.2 &#181;g/L toluene, &lt;0.1 &#181;g/L bromodichloroethane and &lt;0.1 &#181;g/L chloroform in the IJsselmeer river water and &lt;0.1 &#181;g/L toluene, &lt;0.1 &#181;g/L bromodichloethane and 0.2 &#181;g/L chloroform for the Rhine river water. Previous studies showed that the micropollutants found in urban water (waste and rainwater) come from domestic, artisanal, industrial activities, road traffic, rain runoff water and road cleaning, maintenance practices of urban spaces (green spaces, facades, etc.) [<xref ref-type="bibr" rid="scirp.112478-ref43">43</xref>].</p><p>Some compounds have easily identifiable sources such as parabens or pharmaceutical residues which largely come from domestic uses and are restricted to wastewater or polycyclic aromatic hydrocarbons which are mainly produced by automobile traffic and are abundantly present in rainwater. On the contrary, micropollutants such as alkylphenols, have many origins linked to the multiplicity of their uses [<xref ref-type="bibr" rid="scirp.112478-ref5">5</xref>]. Other micropollutants come from domestic cleaning products like disinfectants and body care products. [<xref ref-type="bibr" rid="scirp.112478-ref44">44</xref>] [<xref ref-type="bibr" rid="scirp.112478-ref45">45</xref>]. The probable sources of micropollutants identified in this study in the city of Uvira are degradation of wastes from the processing of agro-food products, used car parts such as lead accumulators, household waste dumped in the environment, effluents of pharmaceutical residues and phytosanitary products into the environment.</p></sec></sec><sec id="s4"><title>4. Conclusions</title><p>This study had as main aim to determine the ecotoxicological risk of urban waste from the city of Uvira discharged into Lake Tanganyika on the northwest coast of the Democratic Republic of Congo. The study showed the presence of inorganic micropollutants at high concentration compared to the standards such as: Cr, Co, Ni, Cu, Zn, As, Sb, Hg and Pb, while Sn was found to be too low and negligible.</p><p>The presence of Pb and Hg at significant concentrations was observed at all sampling sites including the shore of Lake Tanganyika. Some organic micropollutants were identified in high concentrations except those in the samples obtained from the General Hospital of Uviral which is attributable to pharmaceutical residues.</p><p>The acute ecotoxicological experiment carried out on aquariums at the Center for Research in Hydrobiology showed that about 50% of the fish population in the investigated region is likely to die at the concentration of 0.0055 ml/ml of water which confirms that the wastewater from the above-mentioned sources is toxic.</p><p>It is important to put in place and to strictly respect some regulations that would guarantee the purity of Lake Tanganyika. Regular monitoring of the pollution level of the water is also recommended.</p><p>Measures to prevent the sale of products containing extremely toxic and poorly biodegradable compounds would be an asset. The application of the membrane process for the removal of non-biodegradable compounds or elements contained in solid-liquid and liquid-liquid, could be a perfect solution to the pollution problem of Lake Tanganyika. These measures, if implemented, are very likely to improve upon the quality of water from Lake Tanganyika.</p></sec><sec id="s5"><title>Acknowledgements</title><p>The authors acknowledge the support received from the Chemistry Engineering Department at KU Leuven, the Chemistry laboratory at the Hydrobiology Research Center, and the UERHA environmental analysis laboratory at the Higher Pedagogical Institute of Bukavu.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Vercus, L.K., Ndi- kumana, T., Tamungang, N.E.B., Dieu- Donn&#233;, M., Alain, L.M., Camille, N.I., Alconero, P.L. and Van Der Bruggen, B. (2021) Determination of the Toxicological Risk of Urban Waste from the City of Uvira Dumped into the North-Western Coast in Lake Tanganyika (Democratic Republic of Congo). 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