<?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">IJG</journal-id><journal-title-group><journal-title>International Journal of Geosciences</journal-title></journal-title-group><issn pub-type="epub">2156-8359</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ijg.2022.1311051</article-id><article-id pub-id-type="publisher-id">IJG-121185</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>
 
 
  Hydrogeological Characterization and Approach to a Conceptual Model of the Aquifer of the Cuvette Basin, Republic of Congo
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Noida</surname><given-names>Janesia Lebela Mouakoumbat</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Urbain</surname><given-names>Mbilou Gampio</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>Guy</surname><given-names>Moukandi Nkaya</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Chesther</surname><given-names>Gatsé Ebotehouna</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>Armel</surname><given-names>Obami Ondon</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Romain</surname><given-names>Richard Niere</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Department of Geology, Faculties of Science and Technology, Marien Ngouabi University, Brazzaville, Congo</addr-line></aff><aff id="aff1"><addr-line>National Polythecnic School, Marien Ngouabi University, Brazzaville, Congo</addr-line></aff><pub-date pub-type="epub"><day>14</day><month>11</month><year>2022</year></pub-date><volume>13</volume><issue>11</issue><fpage>997</fpage><lpage>1023</lpage><history><date date-type="received"><day>29,</day>	<month>September</month>	<year>2022</year></date><date date-type="rev-recd"><day>11,</day>	<month>November</month>	<year>2022</year>	</date><date date-type="accepted"><day>14,</day>	<month>November</month>	<year>2022</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>
 
 
  The continuous aquifers of the Congolese Cuvette basin constitute the seat of significant water tables reversibly supplying the Congo River basin as well as the water tables they drain. Consisting mainly of sandy-clayey-sandstone formations, t
  hese aquifers contain groundwater which is the main source of drinking water supply for communities in this sector of the departments Cuvette and Cuvette-Ouest. The need for water being more and more acute, these aquifers have been subjected to drilling operations in order to supply drinking water to these populations. The information obtained from these operations 
  is
   data which made it possible to obtain information relating to the lithology, the hydrogeological parameters of these aquifers and information on the depth and on the lateral variations of the water table. The purpose of this present work is to contribute to the hydrogeological characterization of the aquifer of the Cuvette basin in the departments of Cuvette and Cuvette-Ouest via data from the analysis of the technical sheets of drillings carried out by the ASPERBRAS Company, collected at the Ministry of Major Works and territory planning. This characterization was made using Visual MODFLOW Flex 2015.1 software coupled with Surfer 10 software and Rock Works 17 software. The hydrogeological interpretation of the data shows that this aquifer, whose constitution is essentially made up of sands, clayey sands and clay
  ,
   is continuous, porous and free. This composition gives the aquifer of Cuvette basin a heterogeneous character. In addition, a piezometric map was produced in order to indicate the direction of the water flows which turned out to be from west to east tow
  ards the lowest areas occupied by the valleys of the rivers and rivers. The conceptual model shows that the depth of the aquifer decease
  s
   considerably from the Cuvette-Ouest towards the Cuvette.
 
</p></abstract><kwd-group><kwd>Cuvette Basin</kwd><kwd> Hydrogeology</kwd><kwd> Aquifer</kwd><kwd> Piezometric Map</kwd><kwd> Conceptual Model</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>In equatorial and humid tropical regions, surface water resources are very abundant, but their accessibility and quality mean that they are used less than groundwater resources, which are very valuable to the populations. Groundwater resources are essential for sustainable economic and population growth ( [<xref ref-type="bibr" rid="scirp.121185-ref1">1</xref>]). Compared to surface waters, groundwaters require more investigation effort because they follow a given geological structure ( [<xref ref-type="bibr" rid="scirp.121185-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.121185-ref3">3</xref>]). This structuring is the engine of the dynamics of water flows, hence the importance of knowing it and defining it well for easy research. Groundwater is found in most geological formations, in sediments and rocks forming an underground reservoir or aquifer in which groundwater can be stored and transmitted ( [<xref ref-type="bibr" rid="scirp.121185-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.121185-ref4">4</xref>]). Furthermore, groundwater availability depends on the hydrogeological context, which can be highly variable even within a single lithological formation ( [<xref ref-type="bibr" rid="scirp.121185-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.121185-ref4">4</xref>]).</p><p>Over the past decade, in the Republic of Congo, the increase in groundwater demand has led to the installation of several drinking water supply boreholes throughout the country. Then, some of these boreholes were declared dry after some pumping time. This is how interest arose in better characterizing the nature of the aquifers of Congolese Cuvette basin in the departments of Cuvette and Cuvette-Ouest.</p><p>In addition, previous work sufficiently shows that the Congo has not yet carried out a complete assessment of its water resources and therefore suffers from a huge deficit in terms of hydrogeological knowledge ( [<xref ref-type="bibr" rid="scirp.121185-ref5">5</xref>]). Previous studies did not provide enough information to acquire a mastery of the hydrogeological characteristics of the aquifers of the Cuvette basin in the Cuvette and Cuvette-Ouest departments, which would have facilitated our understanding of the functioning of Congolese Cuvette basin aquifers ( [<xref ref-type="bibr" rid="scirp.121185-ref6">6</xref>]). The data available on the hydrogeological situation of the Cuvette and Cuvette-Ouest departments reveal that the aquifer in these sectors is porous, continuous, permeable, and widespread ( [<xref ref-type="bibr" rid="scirp.121185-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.121185-ref7">7</xref>]).</p><p>However, recent studies have provided information on the lithology, piezometry and water quality in the area ( [<xref ref-type="bibr" rid="scirp.121185-ref7">7</xref>]). In addition, scientific progress in recent years has repeatedly demonstrated that modeling is the simplified way to represent the reality on the ground ( [<xref ref-type="bibr" rid="scirp.121185-ref8">8</xref>]). Reliable groundwater modeling is necessary for successful management of groundwater resources ( [<xref ref-type="bibr" rid="scirp.121185-ref9">9</xref>]). In addition, scientific progress in recent years has repeatedly demonstrated that modeling is the simplified way to represent the reality on the ground ( [<xref ref-type="bibr" rid="scirp.121185-ref8">8</xref>]). Two options are generally involved in building a geological model. These are conceptual and numerical models. In accordance with our database, we opted for the construction of a conceptual model. Building a conceptual model of an area helps simplify field problems so that the system can be analyzed more effectively ( [<xref ref-type="bibr" rid="scirp.121185-ref10">10</xref>]). However, before starting to build a groundwater model, it is essential to create lithological and stratigraphic models of the area, providing information on the texture of the formations, the rock materials, the thickness of the strata, the ages and the spatial variation of physical properties over the region of interest ( [<xref ref-type="bibr" rid="scirp.121185-ref11">11</xref>]).</p><p>The lithology provides valuable information on the dominant rock types in the region and their physical and geochemical properties. It can also provide important information to predict the origin of groundwater and its former environment of deposition ( [<xref ref-type="bibr" rid="scirp.121185-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.121185-ref12">12</xref>]). The influence of rock lithology on the development of the drainage network and the shape of the basin has been reported by Mukherjee and Jha ( [<xref ref-type="bibr" rid="scirp.121185-ref13">13</xref>]). A lithologic model can give a general overview of the spatial distribution of the main geological formations in an area. Additionally, it facilitates a more accurate discrimination of different stratigraphic units vertically and hence a more realistic conceptual groundwater model ( [<xref ref-type="bibr" rid="scirp.121185-ref13">13</xref>]). Over the past four decades, several techniques have been developed to predict rock lithology, such as interpretation of seismic data ( [<xref ref-type="bibr" rid="scirp.121185-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.121185-ref15">15</xref>]), physical well logs and geochemical data ( [<xref ref-type="bibr" rid="scirp.121185-ref16">16</xref>]), and, recently, remote sensing data ( [<xref ref-type="bibr" rid="scirp.121185-ref17">17</xref>]). Software development over the past decades has provided powerful tools to create and visualize 3D models at different resolutions in a reasonable timeframe, providing comprehensive subsurface information even in areas with complex geology ( [<xref ref-type="bibr" rid="scirp.121185-ref2">2</xref>]).</p><p>It is on this basis that this paper proposes to initiate this study in order to contribute even a little to the mastery of knowledge on the hydrogeological characteristics of the aquifers of the Cuvette basin in the departments of Cuvette and Cuvette-Ouest and to serve as a decision-making aid tool during the search for and exploitation of groundwater resources (installation of adequate hydraulic structures and capture of the groundwater table).</p><p>To do this, this paper aims to provide a fairly clear and detailed knowledge of the hydrogeological characteristics of the aquifer and to set up a conceptual model of the aquifer of Cuvette basin in the departments of Cuvette and Cuvette-Ouest. To achieve this goal, Rockworks.17 software coupled with Visual MODFLOW Flex 2015.1 software, which is often used in groundwater-focused studies ( [<xref ref-type="bibr" rid="scirp.121185-ref18">18</xref>]), was used for this purpose.</p></sec><sec id="s2"><title>2. General Context of the Study Area</title><sec id="s2_1"><title>2.1. Geographical Location of the Study Area</title><p>The study area is located in the center of the Republic of Congo-Brazzaville, more precisely in the Congolese Cuvette basin which is presented as an immense basin of 196,689 km<sup>2 </sup>where several rivers converge ( [<xref ref-type="bibr" rid="scirp.121185-ref19">19</xref>]). In this vast ensemble, our study (<xref ref-type="fig" rid="fig1">Figure 1</xref>) only concerned the departments of Cuvette and Cuvette-Ouest.</p><p>The study area is bounded to the north by the department of Sangha, to the northeast by the department of Likouaka, to the west, it is bounded by Gabon</p><p>and to the east by the Congo River and to the south by the department of Plateaux (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p></sec><sec id="s2_2"><title>2.2. Climatology</title><p>Our study area comprising the departments of Cuvette and Cuvette-Ouest highlights two types of climates: the equatorial climate and the humid tropical climate. These climatic nuances are largely dependent on the intertropical convergence and also on the type of relief found in the area ( [<xref ref-type="bibr" rid="scirp.121185-ref20">20</xref>]).</p><p>The equatorial climate: It is characterized by relatively modest rainfall (1600 to 1800 mm) 50% of which comes from evaporation and local evapotranspiration generated by the large forest mass. A recession is more or less marked in Loukolela, Mossaka, Makoua, owando in January and also in July in Mbomo. April and May; October and May; are the wettest months with 200 to 250 mm (<xref ref-type="fig" rid="fig2">Figure 2</xref>(a)).</p><p>January and July are less watered with 50 and 80 mm. The dry season is almost non-existent and is between December and January with very low rainfall irregularity (10% to 15%). The average annual temperature is close to 25˚C to 26˚C (<xref ref-type="fig" rid="fig2">Figure 2</xref>(b)) with a low annual amplitude (1˚C to 2˚C).</p><p><xref ref-type="fig" rid="fig2">Figure 2</xref>(b) shows the evolution of monthly temperatures recorded in the Makoua station. Average temperatures vary between 29˚C and 30˚C from February to April with a maximum of 32˚C and a minimum of 25˚C. The relative humidity of the air is constantly high (<xref ref-type="fig" rid="fig2">Figure 2</xref>(c)). <xref ref-type="fig" rid="fig2">Figure 2</xref>(c) illustrates the average relative humidity recorded at the Makoua synoptic station. It shows that the study area is sufficiently watered with more than 97% humidity all year round. The study area is subject to two climatic nuances: the subequatorial climate and the equatorial climate ( [<xref ref-type="bibr" rid="scirp.121185-ref21">21</xref>]).</p><p>Humid tropical climate: It is present in the sector of the western basin where a relief of northwest plateaus and hills predominates, in particular the south of Mbomo, Kell&#233;, Ewo and Okoyo. This climate is characterized by abundant rains of the order of 1200 to 1600 mm of water per year, the annual distribution of which highlights a division of the seasons. A long rainy season from October to May interspersed with a short dry season between January and February and a more sensitive dry season from June to September. Annual temperatures in this area vary between 23˚ and 26˚C. In sum, such a climate justifies the abundance of groundwater in the area.</p></sec><sec id="s2_3"><title>2.3. Hydrographic Network</title><p>The hydrographic network is mainly represented by the Congo River and its tributaries. These drain the western and northern part of the Congo River watershed. Their confluences are located along a section of 600 km, in an overall North-South direction, upstream of Brazzaville ( [<xref ref-type="bibr" rid="scirp.121185-ref22">22</xref>]). The hydrographic network presents a remarkable convergence. A wide range of tributaries narrows towards the Congo: Likouala-aux-Herbes, Sangha, Likouala-Mossaka, Alima. They flow into the river for less than 100 km, via a series of braided deltas; dozens of arms intertwine where the waters flow in one direction or the other, depending on the level of the respective floods ( [<xref ref-type="bibr" rid="scirp.121185-ref23">23</xref>]).</p><p>In the study area, we find the following sub-basins ( [<xref ref-type="bibr" rid="scirp.121185-ref24">24</xref>]) (<xref ref-type="fig" rid="fig3">Figure 3</xref>(a)):</p><p>&#183; The Sangha sub-basin with more than 240,000 km<sup>2</sup> in area.</p><p>&#183; The Likouala-Mossaka sub-basin with an area of nearly 60,000 km<sup>2</sup>.</p><p>&#183; The Alima sub-basin with an area of 20,300 km<sup>2</sup>.</p></sec><sec id="s2_4"><title>2.4. Geological and Hydrogeological Context</title><sec id="s2_4_1"><title>2.4.1. Geological Background</title><p>The geology of the study area (<xref ref-type="fig" rid="fig3">Figure 3</xref>(b)) shows from top to bottom the following formations:</p><p>1) Plio-Pleistocene cover formations comprising: a clayey-sandy series made up of sandy clays of a red hue; clayey, sandy and loamy alluvium; surface formations comprising more or less yellow clays, ferruginous gravel levels and weathered rock levels. The thickness of these cover formations is not well known but it is at least several tens of meters ( [<xref ref-type="bibr" rid="scirp.121185-ref25">25</xref>]).</p><p>2) The Plateaux series of Tertiary age, whose thickness is not known, divided into two:</p><p>&#183; the series of Bat&#233;k&#233; Plateaux made up of essentially sandstone and sandy continental formations which extend into vast plateaus with a characteristic semi-desert aspect, to the north of Brazzaville, between the alluvium of the Congo River to the east and the old series that they overcome to the west.</p><p>The upper layers, called sandy silts, of Neogene age (Ba 2) overlie a set of soft, fine-grained polymorphic sandstones, Paleogene (Ba l). The total power of this series is 300 to 400 meters ( [<xref ref-type="bibr" rid="scirp.121185-ref25">25</xref>]);</p><p>&#183; the Plateaux de Bambio series borders the alluvial deposits of the Congolese basin to the North. These are silicified sandstones, beige sands and sandy silts.</p><p>3) The Secondary formations directly overlie the Precambrian formations of the basement. The Secondary is represented here by the Stanley-Pool series which includes:</p><p>&#183; in the Upper Jurassic, argillites with sandstone past.</p><p>&#183; in the middle and lower Cretaceous, compact white sandstones locally indurated and soft kaolinic sandstones with crossed stratification.</p><p>The Stanley-Pool series of Upper Jurassic to Cretaceous age is made up of fossiliferous clays and marls (SP1), overlain by kaolinic soft sands and sandstones with large intersecting stratifications (SP2) and kaolinic white sands of SP3 ( [<xref ref-type="bibr" rid="scirp.121185-ref25">25</xref>]).</p><p>&#183; The sandstone-pelitic series, of Mesoproterozoic age, outcrops to the northwest of our study area. It begins with conglomerates and coarse sandstones then ends with pelites with whitish aspects at the base which are in turn surmounted by brown and black, micaceous and pyritic pelites ( [<xref ref-type="bibr" rid="scirp.121185-ref26">26</xref>]).</p><p>&#183; The furrows of the Kell&#233; zone, of Archean age, outcrop in the northwestern part of the study area. They consist of gneiss, garnet leptynites; ortho-amphibolites which are most often associated with ultrabasic rocks which clearly correspond to ancient basic lavas, as well as soapstones and actinolites; the quartzite bars are also represented there ( [<xref ref-type="bibr" rid="scirp.121185-ref26">26</xref>]) (<xref ref-type="fig" rid="fig3">Figure 3</xref>(b)).</p></sec><sec id="s2_4_2"><title>2.4.2. Tectonic</title><p>The eastern half of the Cuvette department would form a vast depression, comparable to a subsidence zone where the total thickness of the sedimentary series would reach 6000 m above the Precambrian basement ( [<xref ref-type="bibr" rid="scirp.121185-ref26">26</xref>]). The aeromagnetic survey carried out in 1980 by the CGG for Hydro-Congo made it possible to follow under the recent covers, a certain number of deep fractures and to define a certain number of basins where the thickness of the sediments above the magnetic basement can reach 4000 m from North to South ( [<xref ref-type="bibr" rid="scirp.121185-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.121185-ref26">26</xref>]):</p><p>&#183; Impfondo basin.</p><p>&#183; Liranga Basin.</p><p>&#183; Owando-Gamboma Basin.</p><p>&#183; Mb&#233;-Odziba Basin.</p><p>Some data from the Airmag sometimes confirms the observation of the hydrographic network: the rectilinear lines of the watercourses probably reflect neotectonics in relation to deep structures ( [<xref ref-type="bibr" rid="scirp.121185-ref24">24</xref>]).</p></sec><sec id="s2_4_3"><title>2.4.3. Hydrogeological Context</title><p>The hydrogeological context depends on the geology of the study area. The Congo has 4 hydrogeological units:</p><p>&#183; the coastal sedimentary basin: 6000 km<sup>2</sup>.</p><p>&#183; the continental lands of the Congolese basin: 224,000 km<sup>2</sup>.</p><p>&#183; the old sedimentary series: 68,000 km<sup>2</sup>.</p><p>&#183; crystalline and crystallophyllian rocks of the lower Precambrian: 44,000 km<sup>2 </sup>( [<xref ref-type="bibr" rid="scirp.121185-ref24">24</xref>]).</p><p>The first two sets are essentially formed of loose sedimentary rocks with interstice porosity. They constitute generalized aquifers. The last two, on the other hand, are essentially formed of compact rocks, granites and metamorphic rocks. They constitute discontinuous aquifers with fissure porosity ( [<xref ref-type="bibr" rid="scirp.121185-ref24">24</xref>]).</p><p>Regarding the limits of our study area, two hydrogeological contexts stand out:</p><p>&#183; The continental lands of the Congolese Basin.</p><p>&#183; The old sedimentary series (specifically, the schisto-sandstone formations outcropping in the north of the country) ( [<xref ref-type="bibr" rid="scirp.121185-ref26">26</xref>]).</p></sec></sec></sec><sec id="s3"><title>3. Materials and Methods</title><sec id="s3_1"><title>3.1. Datasets</title><p>Data from 243 boreholes (<xref ref-type="fig" rid="fig4">Figure 4</xref>) were used for lithological and stratigraphic modeling, including detailed description of lithology and depths.</p><p><xref ref-type="fig" rid="fig4">Figure 4</xref> shows the selected borehole locations. The total depths of the boreholes vary from 30 to 220 m. All drilling data was provided by the Congolese Ministry in charge of Major Works and the company Asperbras Congo.</p><p>In addition, the geological map at 1/1,000,000 from Desthieux ( [<xref ref-type="bibr" rid="scirp.121185-ref25">25</xref>]) and sections at different scales were used to calibrate the final models. The piezometric data consists of time series of groundwater levels with sampling at 243 well sites <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> Representative list of drill point coordinates</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >HOLE/Village</th><th align="center" valign="middle" >Longitude (X)</th><th align="center" valign="middle" >Latitude (Y)</th><th align="center" valign="middle" >Altitude (m)</th><th align="center" valign="middle" >Static level</th></tr></thead><tr><td align="center" valign="middle" >Mbesse</td><td align="center" valign="middle" >544,811.1261</td><td align="center" valign="middle" >9,902,860.056</td><td align="center" valign="middle" >378</td><td align="center" valign="middle" >−3.25</td></tr><tr><td align="center" valign="middle" >Adinga</td><td align="center" valign="middle" >549,449.7467</td><td align="center" valign="middle" >10,004,175.73</td><td align="center" valign="middle" >372</td><td align="center" valign="middle" >−5.73</td></tr><tr><td align="center" valign="middle" >Atekou 1</td><td align="center" valign="middle" >590,790.7972</td><td align="center" valign="middle" >9,983,388.07</td><td align="center" valign="middle" >375</td><td align="center" valign="middle" >−22.88</td></tr><tr><td align="center" valign="middle" >Atekou 2</td><td align="center" valign="middle" >591,013.3613</td><td align="center" valign="middle" >9,983,182.344</td><td align="center" valign="middle" >375</td><td align="center" valign="middle" >−17.18</td></tr><tr><td align="center" valign="middle" >Embouli 1</td><td align="center" valign="middle" >557,610.1343</td><td align="center" valign="middle" >9,985,433.973</td><td align="center" valign="middle" >351</td><td align="center" valign="middle" >−7.95</td></tr><tr><td align="center" valign="middle" >Okokohoko</td><td align="center" valign="middle" >584,415.8701</td><td align="center" valign="middle" >9,968,701.869</td><td align="center" valign="middle" >372</td><td align="center" valign="middle" >−25.7</td></tr><tr><td align="center" valign="middle" >Tsiako</td><td align="center" valign="middle" >563,028.8098</td><td align="center" valign="middle" >10013543.69</td><td align="center" valign="middle" >386</td><td align="center" valign="middle" >−28.44</td></tr><tr><td align="center" valign="middle" >Tsama 2</td><td align="center" valign="middle" >531,844.0423</td><td align="center" valign="middle" >9,923,337.239</td><td align="center" valign="middle" >347</td><td align="center" valign="middle" >−4.10</td></tr><tr><td align="center" valign="middle" >Atanda</td><td align="center" valign="middle" >584,282.3804</td><td align="center" valign="middle" >9,913,772.736</td><td align="center" valign="middle" >325</td><td align="center" valign="middle" >−4.25</td></tr><tr><td align="center" valign="middle" >Boko</td><td align="center" valign="middle" >617,748.9404</td><td align="center" valign="middle" >9,962,364.243</td><td align="center" valign="middle" >345</td><td align="center" valign="middle" >−15.54</td></tr><tr><td align="center" valign="middle" >Ihimbou</td><td align="center" valign="middle" >581,175.0695</td><td align="center" valign="middle" >9,952,962.546</td><td align="center" valign="middle" >334</td><td align="center" valign="middle" >−8.2</td></tr><tr><td align="center" valign="middle" >Yengui</td><td align="center" valign="middle" >591,455.0514</td><td align="center" valign="middle" >9,942,269.688</td><td align="center" valign="middle" >359</td><td align="center" valign="middle" >−18</td></tr><tr><td align="center" valign="middle" >Edou Illanga</td><td align="center" valign="middle" >606,444.0795</td><td align="center" valign="middle" >9,876,499.01</td><td align="center" valign="middle" >332</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Elondji</td><td align="center" valign="middle" >613,368.6287</td><td align="center" valign="middle" >9,879,622.649</td><td align="center" valign="middle" >320</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Kali-Otoko</td><td align="center" valign="middle" >625,692.9347</td><td align="center" valign="middle" >9,889,752.232</td><td align="center" valign="middle" >319</td><td align="center" valign="middle" >−2.1</td></tr><tr><td align="center" valign="middle" >Liboka</td><td align="center" valign="middle" >627,108.1537</td><td align="center" valign="middle" >9,888,354.47</td><td align="center" valign="middle" >349</td><td align="center" valign="middle" >−2.1</td></tr><tr><td align="center" valign="middle" >Mbobo</td><td align="center" valign="middle" >587,810.4007</td><td align="center" valign="middle" >9,890,478.694</td><td align="center" valign="middle" >334</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Miaba</td><td align="center" valign="middle" >616,951.1877</td><td align="center" valign="middle" >9,880,275.539</td><td align="center" valign="middle" >313</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Okona</td><td align="center" valign="middle" >564,405.7337</td><td align="center" valign="middle" >9,899,191.334</td><td align="center" valign="middle" >349</td><td align="center" valign="middle" >−5.65</td></tr><tr><td align="center" valign="middle" >Boundji Ast&#233;</td><td align="center" valign="middle" >640,037.6364</td><td align="center" valign="middle" >9,858,173.694</td><td align="center" valign="middle" >288</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Elonzi</td><td align="center" valign="middle" >649,618.0177</td><td align="center" valign="middle" >9,873,327.989</td><td align="center" valign="middle" >308</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Illanga</td><td align="center" valign="middle" >636,832.018</td><td align="center" valign="middle" >9,878,370.142</td><td align="center" valign="middle" >308</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Ololi 1</td><td align="center" valign="middle" >460,549.9464</td><td align="center" valign="middle" >10,024,360.08</td><td align="center" valign="middle" >407</td><td align="center" valign="middle" >−5.94</td></tr><tr><td align="center" valign="middle" >Ololi 2</td><td align="center" valign="middle" >464,336.3848</td><td align="center" valign="middle" >10,021,154.68</td><td align="center" valign="middle" >442</td><td align="center" valign="middle" >−27.51</td></tr><tr><td align="center" valign="middle" >Palabaka</td><td align="center" valign="middle" >492,878.401</td><td align="center" valign="middle" >10,001,050.04</td><td align="center" valign="middle" >409</td><td align="center" valign="middle" >−39</td></tr><tr><td align="center" valign="middle" >Tcherre</td><td align="center" valign="middle" >473,361.9496</td><td align="center" valign="middle" >10,009,502.57</td><td align="center" valign="middle" >421</td><td align="center" valign="middle" >−36.3</td></tr><tr><td align="center" valign="middle" >Ontchouomo</td><td align="center" valign="middle" >447,913.4924</td><td align="center" valign="middle" >10,012,788.09</td><td align="center" valign="middle" >443</td><td align="center" valign="middle" >−39.06</td></tr><tr><td align="center" valign="middle" >Okeka</td><td align="center" valign="middle" >490,476.7254</td><td align="center" valign="middle" >9,973,082.807</td><td align="center" valign="middle" >424</td><td align="center" valign="middle" >−21.54</td></tr><tr><td align="center" valign="middle" >Ebana</td><td align="center" valign="middle" >486,566.587</td><td align="center" valign="middle" >10,016,324.66</td><td align="center" valign="middle" >468</td><td align="center" valign="middle" >−44.48</td></tr></tbody></table></table-wrap><p>Geological modeling was carried out using RockWorks software ( [<xref ref-type="bibr" rid="scirp.121185-ref27">27</xref>]), while ArcGIS version 10.1 ( [<xref ref-type="bibr" rid="scirp.121185-ref28">28</xref>]) was used for post-processing of spatial data. The RockWorks program uses different types of algorithms to interpolate the 3D distribution of geological units. Therefore, the results would not simulate the actual outcrop distribution in reality. In addition, the digital geological map (polygon files), formation boundaries and lineaments (polylines) were used to calibrate the final models. The 3D hydrogeological simulation was carried out using the Visual MODFLOW Flex 2015 software ( [<xref ref-type="bibr" rid="scirp.121185-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.121185-ref29">29</xref>]).</p></sec><sec id="s3_2"><title>3.2. Data Preparation</title><p>The lithological succession, depths and elevations have been transformed into data sheets. The formations have been subdivided into depths based on their lithologic types and background information. Drilling data was imported into the RockWorks database, including all model geometry, coordinates, lithology and stratigraphy information. In addition, spatial information (shapefiles, surface geological boundaries and faults) was imported into the software and saved in the polylines/polygons database.</p></sec><sec id="s3_3"><title>3.3. Lithological Model</title><p>The lithology of the stratigraphic formation in the study area was described using a 3-D lithologic model made using the lithologic modeling option of RockWorks.17 ( [<xref ref-type="bibr" rid="scirp.121185-ref30">30</xref>]). First, the lithological types of the different geological formations were identified from the lithological column of the selected boreholes. These have been stored in <xref ref-type="table" rid="table2">Table 2</xref> of lithological types from the RockWorks.17 database ( [<xref ref-type="bibr" rid="scirp.121185-ref30">30</xref>]). <xref ref-type="table" rid="table2">Table 2</xref> includes detailed information about the rock material, pattern, color, and order in the pattern from top to bottom. The solid model was made from the drilling database (spatial information, depths and lithological types). Lateral extrusions, advanced midpoint random correlations and outlier interpolation algorithms were used in the full voxel mode modeling option available in RockWorks.17 ( [<xref ref-type="bibr" rid="scirp.121185-ref30">30</xref>]).</p></sec><sec id="s3_4"><title>3.4. Preparation of the Piezometric Map</title><p>The piezometric map relating to the year of data collection was drawn up from the elements of the kriging equation applicable to the depth of the layers. Kriging being a geostatistical technique of spatial modeling, has made it possible, from dispersed data of the depths of the layers, to obtain a homogeneous representation of these. Kriging therefore made it possible, using the depth values, to estimate the spatial distribution of the static levels of the aquifer to create a piezometric map. The kriging technique has the advantage of taking into account the distances between the wells for which the depth is to be estimated. The statistical kriging method is based on the assumption of spatial autocorrelation of the data. Concretely, this means that two data close in space tend to have similar characteristics. Then, the results obtained from the kriging</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Representative data of lithologic information from the various boreholes in the study area</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >HOLE/Village</th><th align="center" valign="middle" >Longitude (X)</th><th align="center" valign="middle" >Latitude (Y)</th><th align="center" valign="middle" >Altitude (m)</th><th align="center" valign="middle" >Lithology</th><th align="center" valign="middle" >Depth (m)</th></tr></thead><tr><td align="center" valign="middle" >Mbesse</td><td align="center" valign="middle" >544,811.1261</td><td align="center" valign="middle" >9,902,860.056</td><td align="center" valign="middle" >378</td><td align="center" valign="middle" >Brown medium fine sand</td><td align="center" valign="middle" >0 - 9</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Yellowish fine sand</td><td align="center" valign="middle" >9 - 13.5</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Greyish medium sand</td><td align="center" valign="middle" >13.5 - 22.5</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Light greyish fine sand</td><td align="center" valign="middle" >22.5 - 27</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Brick-red sandy silty sand</td><td align="center" valign="middle" >27 - 31.5</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Reddish fine sand</td><td align="center" valign="middle" >31.5 - 49</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Brick-red sandy silty sand</td><td align="center" valign="middle" >49 - 54</td></tr><tr><td align="center" valign="middle" >Adinga</td><td align="center" valign="middle" >5494.497467</td><td align="center" valign="middle" >10,004,175.73</td><td align="center" valign="middle" >372</td><td align="center" valign="middle" >Yellowish fine sand</td><td align="center" valign="middle" >0 - 24</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Coarse pinkish sand</td><td align="center" valign="middle" >24 - 48</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Reddish clay sandstone</td><td align="center" valign="middle" >48 - 62</td></tr><tr><td align="center" valign="middle" >Atekou 1</td><td align="center" valign="middle" >590,790.7972</td><td align="center" valign="middle" >9,983,388.07</td><td align="center" valign="middle" >375</td><td align="center" valign="middle" >Yellowish fine sand</td><td align="center" valign="middle" >0 - 18</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Fine orange sand</td><td align="center" valign="middle" >18 - 42</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Reddish sandy clay</td><td align="center" valign="middle" >42 - 96</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Fine pinkish clay sand</td><td align="center" valign="middle" >96 - 130</td></tr><tr><td align="center" valign="middle" >Embouli 1</td><td align="center" valign="middle" >557,610.1343</td><td align="center" valign="middle" >9,985,433.973</td><td align="center" valign="middle" >351</td><td align="center" valign="middle" >Greyish fine sand</td><td align="center" valign="middle" >0 - 24</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Greyish medium coarse sand</td><td align="center" valign="middle" >24 - 48</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Pinkish fine sand</td><td align="center" valign="middle" >48 - 111</td></tr><tr><td align="center" valign="middle" >Okokohoko</td><td align="center" valign="middle" >584,415.8701</td><td align="center" valign="middle" >9,968,701.869</td><td align="center" valign="middle" >372</td><td align="center" valign="middle" >Yellowish fine sand</td><td align="center" valign="middle" >0 - 18</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Fine orange sand</td><td align="center" valign="middle" >18 - 48</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Pinkish fine sand</td><td align="center" valign="middle" >48 - 125</td></tr><tr><td align="center" valign="middle" >Tsiako</td><td align="center" valign="middle" >563,028.8098</td><td align="center" valign="middle" >10,013,543.69</td><td align="center" valign="middle" >386</td><td align="center" valign="middle" >Yellowish sandy clay</td><td align="center" valign="middle" >0 - 18</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Orange sandy clay</td><td align="center" valign="middle" >18 - 48</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Reddish sandy clay</td><td align="center" valign="middle" >48 - 98</td></tr><tr><td align="center" valign="middle" >Edou Illanga</td><td align="center" valign="middle" >606,444.0795</td><td align="center" valign="middle" >9,876,499.01</td><td align="center" valign="middle" >332</td><td align="center" valign="middle" >Yellowish fine sand</td><td align="center" valign="middle" >0 - 48</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Greyish sandstone</td><td align="center" valign="middle" >48 - 90</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >yellowish clay sand</td><td align="center" valign="middle" >90 - 114</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Yellowish fine sand</td><td align="center" valign="middle" >114 - 169</td></tr><tr><td align="center" valign="middle" >Elondji</td><td align="center" valign="middle" >613,368.6287</td><td align="center" valign="middle" >9,879,622.649</td><td align="center" valign="middle" >320</td><td align="center" valign="middle" >Greyish fine sand</td><td align="center" valign="middle" >0 - 54</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Brown sandy clay</td><td align="center" valign="middle" >54 - 120</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Reddish lateritic clay</td><td align="center" valign="middle" >120 - 170</td></tr><tr><td align="center" valign="middle" >Liboka</td><td align="center" valign="middle" >625,692.9347</td><td align="center" valign="middle" >9,889,752.232</td><td align="center" valign="middle" >319</td><td align="center" valign="middle" >Medium brown sand</td><td align="center" valign="middle" >0 - 31.5</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Greyish clay</td><td align="center" valign="middle" >31.5 - 40.5</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Fine to medium greyish sand</td><td align="center" valign="middle" >40.5 - 58.5</td></tr><tr><td align="center" valign="middle" >Miaba</td><td align="center" valign="middle" >616,951.1877</td><td align="center" valign="middle" >9,880,275.539</td><td align="center" valign="middle" >313</td><td align="center" valign="middle" >Blackish fine sand with organic matter</td><td align="center" valign="middle" >0 - 42</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Fine brown clay sand</td><td align="center" valign="middle" >42 - 155</td></tr></tbody></table></table-wrap><p>technique were imported into the Visual MODFLOW Flex software ( [<xref ref-type="bibr" rid="scirp.121185-ref8">8</xref>]) which provides the tools to create three-dimensional conceptual and numerical models.</p></sec><sec id="s3_5"><title>3.5. Groundwater Conceptual Model</title><p>The results of the stratigraphic model of the Cuvette basin in the departments of Cuvette and Cuvette-Ouest were used to build the conceptual groundwater model. These include the topographic surface, and the stratigraphic horizons of the formations. Data from different sources were used in the conceptual model, such as spatial data, shapefiles (rivers, boundary area) and observation and pumping wells. All layers are referenced to the UTM WGS84 zone 33N projection system. Surfer software was chosen as the pre- and post-processor to build the groundwater flow models and supports many groundwater models including MODFLOW.</p><p>The US Geological Survey (USGS) MODFLOW ( [<xref ref-type="bibr" rid="scirp.121185-ref31">31</xref>]) is a modular, three-dimensional, finite-difference groundwater flow model that is widely applied in groundwater modeling and used in the present work. Visual MODFLOW Flex 2015 ( [<xref ref-type="bibr" rid="scirp.121185-ref8">8</xref>]) was used to model the area. The lithological model of the study area was exported to MODFLOW to represent the different layers with their topography and thicknesses. The MODFLOW model grid has been adjusted to match the dimensions of the lithologic model. The model grid was constructed in 80 rows by 70 columns with a grid spacing of 1000 m, and vertically the model was divided into 37 slices of 5 m each to coincide with the dimensions of the lithologic model.</p></sec></sec><sec id="s4"><title>4. Results and Discussions</title><sec id="s4_1"><title>4.1. Hydrogeological Characteristics of the Aquifer System</title><sec id="s4_1_1"><title>4.1.1. Lithologic Description and Location of the Aquifer</title><p>Case of the Embouli 1 village</p><p>The lithological data of the Embouli 1 village show, from bottom to top over a depth of about 100 m, a succession of layers of fine sand with an average thickness of about 63 m, medium to coarse sand with an average thickness of about 24 m and finally fine sand towards the top with an average thickness of 24 m (<xref ref-type="fig" rid="fig5">Figure 5</xref>(a)). The drilling carried out in the locality of Embouli 1 reveals that the aquifer of this locality is in the layer of fine sand and at a depth of 63 m (<xref ref-type="fig" rid="fig5">Figure 5</xref>(a)).</p><p>Case of Yengui village</p><p>Here, after drilling operation, the lithology shows from bottom to top over a depth of about 100 m, a clayey layer has passed sandstone with an average thickness of about 61 m representing the aquifer level; then comes a level of fine clayey sand with an average thickness of about 30 m and finally a clayey level with an average thickness of 24 m (<xref ref-type="fig" rid="fig5">Figure 5</xref>(b)).</p><p>Case of Atekou village 1</p><p>The lithological description made in the Atekou 1 locality after the drilling,</p><p>shows from bottom to top over a depth of about 100 m, a sandy-clayey layer with an average thickness of about 34 m, representing the aquifer level; then comes a clayey-sandy level with an average thickness of about 54 m; then a level of medium sand with an average thickness of about 24 m and finally a level of very fine sand with an average thickness of 18 m (<xref ref-type="fig" rid="fig6">Figure 6</xref>(a)).</p><p>Case of the Atanda village</p><p>At the level of the Atenda village, the lithological description (<xref ref-type="fig" rid="fig6">Figure 6</xref>(b)) reveals that from bottom to top over a depth of about 50 m: a layer of fine sand with an average thickness of about 54 m, representing the aquifer level; then comes a clayey-sandy level with an average thickness of about 14 m; finally, a level of fine sand with the presence of organic matter with an average thickness of 23 m.</p></sec><sec id="s4_1_2"><title>4.1.2. Aquifer Geometry: Data from Lithostratigraphic Sections</title><p>During this study, four lines (<xref ref-type="fig" rid="fig7">Figure 7</xref>) of lithostratigraphic sections were carried</p><p>out with the aim of locating and determining the morphology of the aquifer.</p><p>These sections make it possible to follow the evolution of the geometry of the aquifer system and to examine the lateral changes of the lithological facies as well as the thicknesses of the reservoir levels in the departments of Cuvette and Cuvette-Ouest. These lines are as follows (<xref ref-type="fig" rid="fig7">Figure 7</xref>):</p><p>&#183; Section line that goes from Ololi 2 to Boya 1.</p><p>&#183; Section line which goes from Ololi 1 to Indinga.</p><p>&#183; Section line that goes from Okeka to Elonzi.</p><p>&#183; Section line that goes from Tsama 2 Boundji-Atse.</p><p>1) Section line that goes from Ololi 2 to Boya 1</p><p>The sandy-clayey level of this line is present everywhere in the Ololi 2 - Boya 1 sector important at this stage (<xref ref-type="fig" rid="fig8">Figure 8</xref>(a)).</p><p>This model leads to significant local variations in the thickness of the sandy layers, most often in the form of a syncline, hosting the main aquifer (<xref ref-type="fig" rid="fig8">Figure 8</xref>(b))</p><p>of this sector from Ololo 2 to Boya 1. Despite the presence of the clayey level, from a local point of view, this can constitute a good aquifer accessible by wells during drilling operations. Furthermore, fluvial erosion during recent eras of geological history has also cut deeply into the clayey-sandy level.</p><p>2) Section line that goes from Ololi 1 to Indinga</p><p>Just like the section profile of the Ololi 2 Boya 1 sector, the profile of the Ololi 1 section at Indinga suffered significant erosion during the setting up of the sandy and lateritic levels. On the other hand, the sandy-clayey level presents a linear continuity with variation of thickness. However, according to the lithostratigraphic section, shreds of sandstone and clayey-sandy levels are preserved respectively on the sides of the alluvial valleys and at the top of a small anticline (<xref ref-type="fig" rid="fig9">Figure 9</xref>(a)) when they are not eroded. In addition, the clayey-sandy level overhangs the sandy-clayey and lateritic levels located very close to Ololi 1.</p><p>The aquifer of the Ololi 1 sector in Indinga (<xref ref-type="fig" rid="fig9">Figure 9</xref>(b)) is hosted by the sandy-clayey and clayey layers -sandy, where it is in the form of an anticline very close to the village Ololi 1 and in the form of a syncline all along the section going towards the village Indinga. The aquifer in the Ololi 1 sector at Indinga, despite a fairly large proportion of clays in their level, turns out to have good hydrodynamic characteristics due to the presence of a very high proportion of</p><p>coarse sand which thus makes it very good the productivity and permeability of structures. In addition to this information, there is also a piezometric level with a shallow depth of around 60 m in places.</p><p>3) Section line that goes from Okeka to Elonzi</p><p>The section profile from Okeka to Elonzi (<xref ref-type="fig" rid="fig1">Figure 1</xref>0(a)), presents a discontinuity of layer like those of the two preceding profiles reflecting a significant erosion during the installation of the clayey-sandstone layer.</p><p>The sandy-clayey layer also presents a discontinuity with the sandy layer which in turn is in the form of a lens characterizing its placement in the channels. The same is true for the lateritic, sandstone and clayey-sandy layers which also appear in the form of lenses indicating their placement in the channels. The aquifer in this sector is generally in the form of a syncline located at the level of the sandy and clay-sandstone layers (<xref ref-type="fig" rid="fig1">Figure 1</xref>0(b)). The contact of the two aquifer levels of the Okeka sector in Elonzi is noted by a lens located between the sandy layer and the clayey-sandstone layer, which are in communication precisely when approaching the village of Elonzi (<xref ref-type="fig" rid="fig1">Figure 1</xref>0(b)). The aquifer in the Okeka sector in Elonzi is captured at fairly varied depths ranging from the surface, near the Okeka village, to the foothills of Elonzi at more than 100 m.</p><p>3) Section line that goes from Tsama 2 to Boundji-Atse</p><p>Section of the profile of Tsama 2 at Boundji-Atse (<xref ref-type="fig" rid="fig1">Figure 1</xref>1(a)), shows that the clayey-sandy layer overlies the sandy-clayey layer between Tsama 2 and Boundji-Atse, showing the lateral variations in thickness and the sandy, sandstone, and clayey-sandy layers in the form of lenses intercalated between the two along the entire length of the profile. The sandy and clayey-sandstone layers which present continuity with lateral variation in thickness, host the aquifer of</p><p>the Tsama 2 sector in Boundji-Atse which is in the form of anticline and syncline (<xref ref-type="fig" rid="fig1">Figure 1</xref>1(b)).</p><p>The interpretation of this section illustrates the lateral change of facies and thicknesses of the two aquifer levels. The clay-sandstone level is thicker, continuous and of sandstone constitution with a low proportion of clay, ranging from Tsama2 village to Boundji-Atse. The sandy level which appears as a lens and a little deeper than the clay-sandstone level towards the village of Tsama 2. The thickness of this clay-sandstone level becomes less and less important in the central part of the section (line) and then increase towards the Boundji-Atse village (<xref ref-type="fig" rid="fig1">Figure 1</xref>1(a)). These variations in the thickness of the aquifer level in both cases are linked to the sedimentation conditions, which depend on the folding of</p><p>the bedrock.</p><p>The lens morphology of the sandy level brought them into contact with the more or less permeable clay-sandstone level. This thus allowed hydraulic continuity between the two adjacent levels (<xref ref-type="fig" rid="fig1">Figure 1</xref>1(a)).</p></sec></sec><sec id="s4_2"><title>4.2. Piezometric Levels of the Study Area</title><p><xref ref-type="fig" rid="fig1">Figure 1</xref>2(a) below represents the piezometric map of the study area relating to the year of data collection by the Asperbras Company during the installation of the boreholes in 2015. This shows that all the arrows converging towards the</p><p>lowest static level.</p><p>At the Cuvette-Ouest level the arrows generally converge in the direction of the Cuvette but on the other hand, we notice that at the Cuvette level the arrows diverge more. Static levels throughout the eastern part of the study area are between 0 and 10 m depth relative to mean sea level and at altitudes ranging from 200 to 470 m. On the other hand, the static level has considerably increased from East to West towards the West Cuvette.</p><p>The piezometric map of the departments of Cuvette-Ouest and Cuvette, extracted from the 3D geological model, shows that the thickness of this formation varies between 240 and 310 m with a majority of values between 300 and 320 m (<xref ref-type="fig" rid="fig1">Figure 1</xref>2(b)). The average thickness is about 310 m above the basin department. The most important is mainly observed at the eastern ends of the department of the Cuvette where it reaches more than 350 m (<xref ref-type="fig" rid="fig1">Figure 1</xref>2(b)). The department of Cuvette-Ouest recorded thickness values greater than 400 m, among the strongest in the geological model.</p></sec><sec id="s4_3"><title>4.3. Approach to the Hydrogeological Model of the Aquifer in the Departments of Cuvette and Cuvette-Ouest</title><p>The 3D geological visualization model of the depth layers of the Cuvette and the Cuvette-Ouest was produced from the interpolation of the geological data collected in the end-of-borehole reports from 243 water wells. The interpolation of these data using the Visual MODFLOW Flex software ( [<xref ref-type="bibr" rid="scirp.121185-ref8">8</xref>]), makes it possible to characterize and visualize the three-dimensional geometry of the departments of Cuvette-Ouest (CO) and Cuvette (C), to where the term “3D geological model of the departments of Cuvette-Ouest and Cuvette. If the Visual MODFLOW Flex software does not make it possible to visualize the volumes, it does on the other hand make it possible to edit sections for illustration of the layer of the roofs of the wells of the boreholes (<xref ref-type="fig" rid="fig1">Figure 1</xref>3(a)), of the statistical level of the wells (<xref ref-type="fig" rid="fig1">Figure 1</xref>3(b)) and the depth of location of the water table (<xref ref-type="fig" rid="fig1">Figure 1</xref>3(c)). Three surfaces allowing to characterize the 3D geometry of the departments of Cuvette-Ouest and Cuvette were thus obtained. They represent the morphology of the roof and the wall of the Cuvette-Ouest and Cuvette departments as well as its thickness (<xref ref-type="fig" rid="fig1">Figure 1</xref>3(a) and <xref ref-type="fig" rid="fig1">Figure 1</xref>4).</p><p>Overall, the 3D geological model of the Cuvette-Ouest and Cuvette departments shows that this aquifer forms a large asymmetrical syncline, molded on the deep morphology of the basin of the Congolese basin, the depth of which increases from west to east, that is to say that our aquifer is much thicker at the level of the Cuvette department (170 m) than at the level of the Cuvette-Ouest department (85 m). This model shows that the aquifer is continuous and free throughout the extent of our study area (<xref ref-type="fig" rid="fig1">Figure 1</xref>4). This is in accordance with the geology of this study area and with the results of the work of ( [<xref ref-type="bibr" rid="scirp.121185-ref24">24</xref>]). This model shows that the static level of the wells is located at a depth between 10 and 40 m (<xref ref-type="fig" rid="fig1">Figure 1</xref>3(c)).</p><p>To estimate the depth of the roof and that of the wall of the water table and then deduce the thickness, it was necessary to carry out a 3D geological visualization model of the different layers crossed by the boreholes from the drilling data. It emerges from this model that the elevation of the roof of this formation appears between 430 m and 150 m under the departments of Cuvette-Ouest (CO) and Cuvette (C) deepening from west to East (<xref ref-type="fig" rid="fig1">Figure 1</xref>3(a) and <xref ref-type="fig" rid="fig1">Figure 1</xref>4). In the basin department, on the other hand, the boreholes reach values of 150 m to 200 m maximum depth (<xref ref-type="fig" rid="fig1">Figure 1</xref>4).</p><p>At first glance, the piezometric maps and those of depth extracted from the 3D geological model show that between the department of the basin and that of the western basin, the department of the basin is indeed the favorable zone for hydrogeological exploration. This represents almost two-thirds of the eastern part of the model (<xref ref-type="fig" rid="fig1">Figure 1</xref>4). Observation made, it is noted that the layers of the geological formations located in the department of the Cuvette appear thicker and deeper than those located at the level of the department of the Cuvette-Ouest.</p></sec></sec><sec id="s5"><title>5. Conclusions</title><p>The study of the aquifer is seen as a powerful tool for the assessment, development and management of groundwater resources. A combination of lithostratigraphic sections and piezometric maps was used to develop a conceptual hydrogeological model of the Congolese Cuvette basin aquifer in the departments of Cuvette and Cuvette-Ouest. The conceptual hydrogeological model was designed using MODFLOW Flex 2015.1 software to characterize the geometry of the aquifer and to understand the direction of groundwater flow in the Congolese Cuvette basin.</p><p>Lithostratigraphic sections were designed using Rock-Works.17 software using data resulting from perforated boreholes across the Congolese Cuvette basin. These sections showed a vertical variation of the lithological layers according to the following arrangement from bottom to top: clay - clayey sand - sand and which gives the aquifer a heterogeneous character. They also showed that the thickness of the geological layers traversed during the drilling varies considerably from the Cuvette-Ouest towards the Cuvette. This aquifer is generally located in sandy to clayey formations which constitute a generalized and porous aquifer.</p><p>The piezometric map shows us that the water flows from a place with a strong hydraulic gradient towards an area with a weak hydraulic gradient. In this case, we can say that the water flows from the Cuvette-Ouest towards the Cuvette. This may be due to the morphology of the terrain because compared to the relief of the Cuvette, the relief of the Cuvette-Ouest is high.</p><p>The geometry of the aquifer is presented through a 3D model showing its different overlapping layers. The general direction of groundwater flow is from west to east that is to say from Cuvette-Ouest (CO) to Cuvette (C). The rocks that contain these groundwater layers constitute a large free aquifer in constant communication with the rivers and rivers as indicated by the flows which are all oriented towards the low areas where the rivers and rivers flow.</p></sec><sec id="s6"><title>Acknowledgements</title><p>We thank Mr. Wesley BAKINGA LAMASS, from the drinking water department at the Ministry of Territorial Development and Major Works for providing data. We thank Mr. Moukolo and F. O. Kifoula (Soci&#233;t&#233; Nationale de Distribution d’eau (SNDE), Republic of Congo) for helping with the information relating to the aquifer in the study area. The authors would also like to thank Pr. B. Mabiala for his constant support and his availability, especially for learning the Visual MODFLOW Flex software.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Lebela Mouakoumbat, N.J., Gampio, U.M., Moukandi Nkaya, G., Gatse Ebotehouna, C., Obami Ondon, A. and Niere, R.R. (2022) Hydrogeological Characterization and Approach to a Conceptual Model of the Aquifer of the Cuvette Basin, Republic of Congo. International Journal of Geosciences, 13, 997-1023. https://doi.org/10.4236/ijg.2022.1311051</p></sec></body><back><ref-list><title>References</title><ref id="scirp.121185-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Gleeson, T., Wada, Y., Bierkens, M.F. and Van Beek, L.P. (2012) Water Balance of Global Aquifers Revealed by Groundwater Footprint. 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