<?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.2014.513122</article-id><article-id pub-id-type="publisher-id">JEP-50759</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>
 
 
  Physico-Chemical Analysis of Eutrophication’s Parameters in a Coastal River (C&#244;te D’ivoire)
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>offi</surname><given-names>Sébastien Ouffoué</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>Moreto</surname><given-names>Salla</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>Denis</surname><given-names>Yapo Kicho</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>Dodiomon</surname><given-names>Soro</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>Kouhété</surname><given-names>Philippe Da</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>Zanahi</surname><given-names>Félix Tonzibo</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Laboratoire de Botanique, U.F.R. Biosciences, Université Félix Houphouet-Boigny, Abidjan, Cote d’Ivoire</addr-line></aff><aff id="aff1"><addr-line>Centre Ivoirien Anti-Pollution (C.I.A.POL.), Abidjan, Cote d’Ivoire</addr-line></aff><aff id="aff3"><addr-line>Laboratoire de Chimie Organique, U.F.R. SSMT, Université Félix Houphouet-Boigny, Abidjan, Cote d’Ivoire</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>offoe@yahoo.fr(OSO)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>22</day><month>10</month><year>2014</year></pub-date><volume>05</volume><issue>13</issue><fpage>1285</fpage><lpage>1293</lpage><history><date date-type="received"><day>23</day>	<month>August</month>	<year>2014</year></date><date date-type="rev-recd"><day>18</day>	<month>September</month>	<year>2014</year>	</date><date date-type="accepted"><day>12</day>	<month>October</month>	<year>2014</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>
 
 
  A study on some physico-chemical and biological variables of water quality was conducted on a coastal river in Ivory Coast. It’s the first assessment on water quality state. Those coastal rivers actually play an important role in the physical, biological and hydrological exchange between lagoons and the sea. Unfortunately, they are not taken into account by the national monitoring for water quality (RNO-CI). The samples were collected along Boubo River body through three stations, in the south of Cote d’Ivoire, during two years. Results show sharp fluctuations of the concentration N-
  NO<sub>3</sub><sup style="margin-left:-7px;">-</sup>
   nitrate, N-
  N
  H
  <sub></sub>
  4
  <sup style="margin-left:-7px;"></sup>
  +
  
   ammonium and chlorophyll a with more than 20% variation. However, small fluctuations were noted for temperature, pH and conductivity with 4% - 20%. Measures are generally inferior to the threshold for hazardous water class. But respective average concentrations of N-
  NO<sub>3</sub><sup style="margin-left:-7px;">-</sup>
  , P-PO&lt;sub&gt;4&lt;/sub&gt;&lt;sup style=&quot;margin-left:-7px;&quot;&gt;3-&lt;/sup&gt;
  
  
  , COD and BOD5 are above natural water threshold, representing 67% of the analyzed samples of P-PO&lt;sub&gt;4&lt;/sub&gt;&lt;sup style=&quot;margin-left:-7px;&quot;&gt;3-&lt;/sup&gt;
  
  
   and 100% of the other. These results show that the river is not exempt of pollution: 0.2 mg/l of P-PO&lt;sub&gt;4&lt;/sub&gt;&lt;sup style=&quot;margin-left:-7px;&quot;&gt;3-&lt;/sup&gt;
  
  
  <sup> </sup>
  and 0.9 mg/l of N-
  NO<sub>3</sub><sup style="margin-left:-7px;">-</sup>
   are the limits of appropriate siege for the proliferation of invasive aquatic plants (IAP).
 
</p></abstract><kwd-group><kwd>Water Quality</kwd><kwd> Nutriments</kwd><kwd> Chlorophyll A</kwd><kwd> Pollution</kwd><kwd> Eutrophication</kwd><kwd> River</kwd><kwd> C&#244;te d’Ivoire</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Demographic growth in developing countries has brought a fast expansion in urbanization and industrialisation. C&#244;te d’Ivoire, a West African state, possesses a vast hydrographic network, mainly in the southern part. This network is threatened by serious pollutions mainly due to uncontrolled population growth. In 1994, a national monitoring network for water quality was put in place in order to know physico-chemical and ecological quality of waters. The monitoring program has covered 55 fixed stations of water body withdrawal, of sediments and living organisms. 28 stations were counted on inland waterways, 18 stations in Ebri&#233; lagoon of Abidjan Central Basin and 9 stations along the coast from east to west. Actually, this network was focused on three major rivers (Como&#233;, Bandama, Sassandra) and didn’t take into account many rivers and water sources which play a key role in economic, social and cultural of population’s life. This situation explains the lack of scientific series and data. In the coastal area they are many rivers which represent nutritive and biodiversity resources. Unfortunately they are under pollution impact. These zones are known for decades for intense agricultural activities (industrial and local plantations of coffee, cocoa, pineapple, palm oil…) and mining. The farm covers nearly 44% of the area of this region [<xref ref-type="bibr" rid="scirp.50759-ref1">1</xref>] . The production of these cultures favors the use of pesticides and chemical fertilizers. The residues of chemical products are carried and focused in inland water. It modifies some local waterways quality and leads to deep changes in the composition and structure of animal and vegetable organisms of this hydrosystem [<xref ref-type="bibr" rid="scirp.50759-ref2">2</xref>] .</p></sec><sec id="s2"><title>2. Material and methods</title><sec id="s2_1"><title>2.1. Sampling area</title><p>Boubo River is among the main coastal rivers of the country (figure 1). It stretches from Center to the South coast over 130 Km with a catchment area of 5100 km&#178;. Overall, twelve (12) campaigns grouped into four (04) great seasons were realized from May 2009 to April 2010. The campaigns of collect of samples covered the periods of Long Dry Season (LDS), Minor Dry Season (MDS), the Long Wet Season (LWS) and the Minor Wet Season (MWS). Three (03) sampling stations were installed along the stream and heading from upstream to downstream:</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Hydrolycal map of Boubo’s river</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-6702070x13.png"/></fig><p>&#183; Upstream: Station St1 (station of Divo, 5˚75'N and 5˚31'W) on the deck located on Divo-Lakota route, at 5 km from the downtown.</p><p>&#183; In the center: Station St2 (PALMCI-Boubo, 5˚61'N and 5˚25'W) on the bridge located at 400 m from palm oil production unit (PALMCI-Divo).</p><p>&#183; Downstream: Station St3 (Station of Adahidougou, 5˚18'N and 5˚11'W), on the bridge, 25 km to Grand-La- hou town.</p></sec><sec id="s2_2"><title>2.2. Physico-Chemical Parameters</title><p>The parameters studied are temperature, pH, conductivity, transparency, nitrates (<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x14.png" xlink:type="simple"/></inline-formula>), ammonium (<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x15.png" xlink:type="simple"/></inline-formula>), orthophosphates (<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x16.png" xlink:type="simple"/></inline-formula>), Biological Oxygen Demand (BOD5 or DBO<sub>5</sub>), Chemical Oxygen Demand (COD) and chlorophyll a.</p><sec id="s2_2_1"><title>2.2.1. Physical Parameters Measurement</title><p>The pH, conductivity (&#181;S/cm) and water temperature (˚C) are measured in situ with calibrated multiparameters probe. The transparency of water (m) is measured using Secchi disc.</p></sec><sec id="s2_2_2"><title>2.2.2. Chemical Parameters Analysis</title><p>The nutrients<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x17.png" xlink:type="simple"/></inline-formula>, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x18.png" xlink:type="simple"/></inline-formula>and <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x19.png" xlink:type="simple"/></inline-formula> are analyzed at the laboratory. The concentrations determined by [<xref ref-type="bibr" rid="scirp.50759-ref3">3</xref>] calorimetric method for nitrates and method for orthophosphates [<xref ref-type="bibr" rid="scirp.50759-ref4">4</xref>] . The nitrate concentrations are determined by difference, once they are reduced into nitrites on a Cd-Cu column that enables nitrites analyzed. The concentration of nitrate is determined by difference of the initial nitrites concentration in the sample. Orthophosphate is determined as follow: with antimonies, ammonium molybdate form a complex with orthophosphates; that complex is reducible by ascorbic acid. The blue coloration reduced form, absorbs wavelength at 885 nm, helping to know ion phosphate concentration in the dosed sample. After the value solution, vessel sample is placed in the spectrophotometer to see ion content.</p><p>Chemical Oxygen Demand (COD or DCO): a V1 volume of water is treated in a test tube containing a specific COD reagent. They are all placed in a digester under 120˚C during 2 hours. We let the mixture cool down and then we measure with the help of the spectrophotometer that gives a concentration (mg/l) corresponding to the DCO value.</p><p>Biological Oxygen Demand (BOD5 or DCO5): a V2 volume of water sample is poured into an oxi-top glass flask (1 liter colored flask). The flask is clogged by a closure with a digital display for DBO<sub>5</sub> reading. The flask is then placed into an incubator for 5 days. At the 5th day, we proceed to the reading of DBO<sub>5</sub> value on the screen (mg/l).</p></sec></sec><sec id="s2_3"><title>2.3. Chlorophyll A Analysis</title><p>Chlorophyll a dosage is done using NFT90-117 method. A volume of 250 ml is filtered through GF/C ruled filter paper. The filtrate is placed into a tube containing 90 degree ethanol. Then we move to the centrifugation at 3000 r.p.m for 15 minutes. The organics phase is used to measure chlorophyll with calibrated spectrophoto-me- ter [<xref ref-type="bibr" rid="scirp.50759-ref3">3</xref>] .</p></sec></sec><sec id="s3"><title>3. Results</title>Quantitative analysis of variables (<xref ref-type="table" rid="table1">Table 1</xref>(a), <xref ref-type="table" rid="table1">Table 1</xref>(b) and figure 2)<p>&#183; Temperature (Temp): extreme values are measured at St2: Boubo River, center, during Major Dry Season (MDS) between 24˚C and 25.8˚C with an average of 25.82˚C.</p><p>&#183; PH: values of water are between 5.8 and 7.3 with an average of 6.53. Minimal value is obtained at Station St2 during Long Dry Season (MDS).</p><p>&#183; Conductivity (Cond): values are between 88 and 160.7 &#181;S/cm with an average of 117.91 &#181;S/cm. The low values are obtained at Station St2 during the Minor Wet Season (MWS). The maximal conductivity is measured during the Minor Dry Season (MDS).</p><p>&#183; Transparency (Transp): water transparency is measured between 0.2 and 0.9 with an average of 0.62 m. the lowest measure was determined at Adahidougou Station (St3), downstream during the Long Wet Season</p><table-wrap-group id="1"><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> (a) Physical-chemical and Chl a data of the Boubo River; (b) Physical-chemical and Chl a data of the Boubo River</title></caption><table-wrap id="1_1"><caption><title> (b)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Stations</th><th align="center" valign="middle" >Seasons</th><th align="center" valign="middle" >Temp</th><th align="center" valign="middle" >pH</th><th align="center" valign="middle" >Cond</th><th align="center" valign="middle" >Transp</th></tr></thead><tr><td align="center" valign="middle"  rowspan="4"  >St<sub>1</sub></td><td align="center" valign="middle" >GSP</td><td align="center" valign="middle" >25.6</td><td align="center" valign="middle" >6.9</td><td align="center" valign="middle" >113</td><td align="center" valign="middle" >0.6</td></tr><tr><td align="center" valign="middle" >PSS</td><td align="center" valign="middle" >25.3</td><td align="center" valign="middle" >6.9</td><td align="center" valign="middle" >160.7</td><td align="center" valign="middle" >0.9</td></tr><tr><td align="center" valign="middle" >PSP</td><td align="center" valign="middle" >26.2</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >93.4</td><td align="center" valign="middle" >0.7</td></tr><tr><td align="center" valign="middle" >GSS</td><td align="center" valign="middle" >25.8</td><td align="center" valign="middle" >5.9</td><td align="center" valign="middle" >90</td><td align="center" valign="middle" >0.8</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >St<sub>2</sub></td><td align="center" valign="middle" >GSP</td><td align="center" valign="middle" >28.8</td><td align="center" valign="middle" >7.2</td><td align="center" valign="middle" >121.5</td><td align="center" valign="middle" >0.6</td></tr><tr><td align="center" valign="middle" >PSS</td><td align="center" valign="middle" >26.1</td><td align="center" valign="middle" >7.3</td><td align="center" valign="middle" >105.4</td><td align="center" valign="middle" >0.7</td></tr><tr><td align="center" valign="middle" >PSP</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >88</td><td align="center" valign="middle" >0.5</td></tr><tr><td align="center" valign="middle" >GSS</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >5.8</td><td align="center" valign="middle" >100.3</td><td align="center" valign="middle" >0.6</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >St<sub>3</sub></td><td align="center" valign="middle" >GSP</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >6.6</td><td align="center" valign="middle" >137.7</td><td align="center" valign="middle" >0.4</td></tr><tr><td align="center" valign="middle" >PSS</td><td align="center" valign="middle" >26.6</td><td align="center" valign="middle" >6.7</td><td align="center" valign="middle" >156</td><td align="center" valign="middle" >0.8</td></tr><tr><td align="center" valign="middle" >PSP</td><td align="center" valign="middle" >25.4</td><td align="center" valign="middle" >6.2</td><td align="center" valign="middle" >135</td><td align="center" valign="middle" >0.6</td></tr><tr><td align="center" valign="middle" >GSS</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >5.9</td><td align="center" valign="middle" >114</td><td align="center" valign="middle" >0.2</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Average</td><td align="center" valign="middle" >25.82</td><td align="center" valign="middle" >6.53</td><td align="center" valign="middle" >117.91</td><td align="center" valign="middle" >0.62</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Standard Deviation (σ)</td><td align="center" valign="middle" >1.16</td><td align="center" valign="middle" >0.55</td><td align="center" valign="middle" >24.79</td><td align="center" valign="middle" >0.19</td></tr><tr><td align="center" valign="middle"  colspan="2"  >σ/moy (%)</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >30</td></tr></tbody></table></table-wrap><table-wrap id="1_2"><caption><title></title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Stations</th><th align="center" valign="middle" >Seasons</th><th align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x20.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x21.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x22.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" >DBO<sub>5</sub></th><th align="center" valign="middle" >COD</th><th align="center" valign="middle" >Chl a</th></tr></thead><tr><td align="center" valign="middle"  rowspan="4"  >St1</td><td align="center" valign="middle" >GSP</td><td align="center" valign="middle" >1.04</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >0.2</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >116</td><td align="center" valign="middle" >9.6</td></tr><tr><td align="center" valign="middle" >PSS</td><td align="center" valign="middle" >0.47</td><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >0.1</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >7.6</td></tr><tr><td align="center" valign="middle" >PSP</td><td align="center" valign="middle" >0.72</td><td align="center" valign="middle" >0.04</td><td align="center" valign="middle" >0.1</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >67</td><td align="center" valign="middle" >19.2</td></tr><tr><td align="center" valign="middle" >GSS</td><td align="center" valign="middle" >0.45</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >0.2</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >62</td><td align="center" valign="middle" >15.9</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >St2</td><td align="center" valign="middle" >GSP</td><td align="center" valign="middle" >1.3</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >0.2</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >78</td><td align="center" valign="middle" >11.4</td></tr><tr><td align="center" valign="middle" >PSS</td><td align="center" valign="middle" >0.76</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >0.1</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >83</td><td align="center" valign="middle" >9.8</td></tr><tr><td align="center" valign="middle" >PSP</td><td align="center" valign="middle" >0.81</td><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >0.2</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >89</td><td align="center" valign="middle" >18.4</td></tr><tr><td align="center" valign="middle" >GSS</td><td align="center" valign="middle" >0.44</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >88</td><td align="center" valign="middle" >15.2</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >St3</td><td align="center" valign="middle" >GSP</td><td align="center" valign="middle" >2.2</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >15.5</td></tr><tr><td align="center" valign="middle" >PSS</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >0.2</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >107</td><td align="center" valign="middle" >9.3</td></tr><tr><td align="center" valign="middle" >PSP</td><td align="center" valign="middle" >1.21</td><td align="center" valign="middle" >0.04</td><td align="center" valign="middle" >0.1</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >67</td><td align="center" valign="middle" >27.1</td></tr><tr><td align="center" valign="middle" >GSS</td><td align="center" valign="middle" >0.87</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >76</td><td align="center" valign="middle" >16.6</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Average</td><td align="center" valign="middle" >0.94</td><td align="center" valign="middle" >0.024</td><td align="center" valign="middle" >0.21</td><td align="center" valign="middle" >29.17</td><td align="center" valign="middle" >77.33</td><td align="center" valign="middle" >14.63</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Standard deviation (σ)</td><td align="center" valign="middle" >0.49</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >0.12</td><td align="center" valign="middle" >8.15</td><td align="center" valign="middle" >21.17</td><td align="center" valign="middle" >5.51</td></tr><tr><td align="center" valign="middle"  colspan="2"  >σ/moy (%)</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >57</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >37</td></tr></tbody></table></table-wrap></table-wrap-group><p>(LWS).</p><p>&#183; Nitrate (<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x23.png" xlink:type="simple"/></inline-formula>): nitrate concentration is between 0.44 and 2.2 mg/l. The average value is of 0.94 mg/l. The lowest nitrate concentration was measured at Station St2, Center in Long Dry Season (LDS). The highest value has been obtained at Adahidougou Station (St3), during Long Wet Season (LWS).</p><p>&#183; Ammonium (c): ammonium concentration varies between 0.01 and 0.04 mg/l. The average is of 0.02 mg/l. The lowest values are measured downstream (St1) and in the Center (St2) during Long Dry Season (LDS). The highest content in stations is measured St1 and St3 during Minor Wet Season (MWS).</p><p>&#183; Orthophosphates (<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x24.png" xlink:type="simple"/></inline-formula>): orthophosphates vary between 0.1 and 0.5 mg/l with an average concentration of 0.21 mg/l. The lowest concentration is measured at station St1 downstream the river with during Minor Dry Season (MDS) and the Minor Wet Season (MWS). Highest concentrations are noted during Long Wet Season (LWS).</p><fig id="fig2"  position="float"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Variation of physico-chemical parameters according to the seasons on the three stations of the Boubo River</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-6702070x25.png"/></fig><p>&#183; Biological Oxygen Demand BOD<sub>5</sub> and COD extreme values vary respectively between 14 and 44 mg/l and 44 and 116 mg/l with averages of 29.17 mg/l and 77.33 mg/l. Lowest contents in BOD<sub>5</sub> and COD are determined at station St3, upstream, during Long Wet Season (LWS) and highest value at Station St3 during Minor Wet Season (MWS).</p><p>&#183; Chlorophyll a: the concentrations for Boubo River water vary between 7.6 and 27.1 mg/l. The averages of chlorophyll a value for these waters are 14.62 mg/l. The lowest chlorophyll is determined at station St1, during Minor Dry Season (MDS) and the highest at station St3, during Minor Wet Season (MWS).</p><p>We generally notice a fluctuation of the different variable measurement from one station to another and from season to another (<xref ref-type="table" rid="table2">Table 2</xref>). The importance of this fluctuation is evaluated with the ratio of the standard deviation and the average. It appears, along the rivers, strong fluctuations of concentration of nutriments<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x26.png" xlink:type="simple"/></inline-formula>, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x26.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x27.png" xlink:type="simple"/></inline-formula>, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x26.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x27.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x28.png" xlink:type="simple"/></inline-formula>and chlorophyll a with more than 20%. Low fluctuations are determined for the temperature, pH and conductivity with 4% - 20%.</p></sec><sec id="s4"><title>4. Discussion</title>Seasonal and spatial variation<p>The study shows that extreme temperatures in PALMCI-BOUBO station (St2) located in the Center (<xref ref-type="fig" rid="fig3">Figure 3</xref>). The average temperature calculated 25.71˚C on most of the stations is between 25˚C - 29˚C like most of tropical rivers in C&#244;te d’Ivoire [<xref ref-type="bibr" rid="scirp.50759-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.50759-ref5">5</xref>] and estuarial water rivers in France [<xref ref-type="bibr" rid="scirp.50759-ref6">6</xref>] . Differences in temperature of the water in the tropical zone are relatively low in comparison to those of temperate countries. A very large rise in temperature is caused by the intrusion of hot water of industrial liquid effluents. The St2 station, which is located in the area of the production palm oil, is not affected by the warm waters of these effluents. This situation can be explained by the fact that the temperature drop as far as we move away from the point of discharge. Water found the average surrounding equilibrium temperature. Temperature is an important factor in the development of phytoplankton. Authors have noticed that an increase of the water temperature would facilitate chemical reactions with the mineralization of organic matter into nutrients. The increase in temperature reduces the solubility of the gases dissolved in the water. Authors have shown that an increase of 7˚C causes a fall of 13% O<sub>2</sub>. An elevated temperature promotes the degradation of matter organic in oxidation. Extreme measures of the BOD<sub>5</sub> and COD vary respectively between 17 and 44 mg/l 43 and 116 mg/l. These results show the presence of organic matter naturally and quickly biodegradable in equilibrium with little degradable organic matter. The organic matter with little degradable matter is an index of chemical contamination. The mineralization of organic matter into nutrients (<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x29.png" xlink:type="simple"/></inline-formula>, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x29.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x30.png" xlink:type="simple"/></inline-formula>, and<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x29.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x30.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x31.png" xlink:type="simple"/></inline-formula>), sunlight and permanent oxygenation through the movement of water, create favorable conditions for the development of phytoplankton.</p><p>The river Boubo presents in average, low acid PH 6.5. The extreme values are obtained during the Long Dry Season (5.8) and the Minor Dry Season (7.3). These values are comparable to the pH generally measured from coastal rivers between 6.4 and 7.5. The tendency to the acidity of the waters of the Boubo’s river would be justified by the localization in coastal zone. In according to Iltis &amp; L&#233;v&#234;que’s studies in 1982, coastal rivers have a slightly acidic and alkaline pH [<xref ref-type="bibr" rid="scirp.50759-ref7">7</xref>] . Also it had been showed that the weakly acidic or slightly alkaline waters are favorable to the development of many Desmidiales [<xref ref-type="bibr" rid="scirp.50759-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.50759-ref8">8</xref>] . When the values of pH are between 6.4 - 8, the nutrients are in their ionic and dissolved forms. Thus ammoniac nitrogen is in ionic form dissolves (<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x32.png" xlink:type="simple"/></inline-formula>)</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Comparison table of the measured average values and levels of quality of waters according to Deborah</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Average value measured in the Boubo River</th><th align="center" valign="middle" >Level observed in natural waters (Deborah C.)</th><th align="center" valign="middle" >Level observed in polluted water (Deborah C.)</th></tr></thead><tr><td align="center" valign="middle" >Temp (˚C)</td><td align="center" valign="middle" >25.82</td><td align="center" valign="middle" >0 - 30</td><td align="center" valign="middle" >40</td></tr><tr><td align="center" valign="middle" >pH</td><td align="center" valign="middle" >6.53</td><td align="center" valign="middle" >6 - 9</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Cond (&#181;S/cm)</td><td align="center" valign="middle" >117.91</td><td align="center" valign="middle" >10 - 1000</td><td align="center" valign="middle" >&gt;1000</td></tr><tr><td align="center" valign="middle" >Transp (m)</td><td align="center" valign="middle" >0.62</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x33.png" xlink:type="simple"/></inline-formula>( mg/l)</td><td align="center" valign="middle" >0.94</td><td align="center" valign="middle" >0.1</td><td align="center" valign="middle" >5</td></tr><tr><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x34.png" xlink:type="simple"/></inline-formula>(mg/l)</td><td align="center" valign="middle" >0.024</td><td align="center" valign="middle" >0.1</td><td align="center" valign="middle" >2</td></tr><tr><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x35.png" xlink:type="simple"/></inline-formula>(mg/l)</td><td align="center" valign="middle" >0.21</td><td align="center" valign="middle" >&lt;0.2</td><td align="center" valign="middle" >&gt;0.2</td></tr><tr><td align="center" valign="middle" >BOD5 (mg/l)</td><td align="center" valign="middle" >29.17</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >COD (mg/l)</td><td align="center" valign="middle" >77.33</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >200</td></tr><tr><td align="center" valign="middle" >Chl a (mg/l)</td><td align="center" valign="middle" >14.63</td><td align="center" valign="middle" >5 - 140</td><td align="center" valign="middle" >&gt;300</td></tr></tbody></table></table-wrap><fig id="fig3"  position="float"><label><xref ref-type="fig" rid="fig3">Figure 3</xref></label><caption><title> Box plot of the variation of parameters physico-chemicals on the three stations of the Boubo River</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-6702070x36.png"/></fig><p>non-toxic, favorable to the development of algae. There is also the phosphorus as<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x37.png" xlink:type="simple"/></inline-formula>. Generally, the aver- age value of the conductivity is 117.92 &#181;S/cm in the unpolluted water. The extreme values obtained (58.7 and 140.8 &#181;S/cm) are close to those studies on the water quality of coastal rivers of C&#244;te d’Ivoire [<xref ref-type="bibr" rid="scirp.50759-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.50759-ref10">10</xref>] . These values are found generally in natural and unpolluted water. These results are confirmed by previous work that showed a range of conductivity between 100 and 200 &#181;S/cm in the tropical region in coastal streams and are influenced by continental waters [<xref ref-type="bibr" rid="scirp.50759-ref11">11</xref>] .</p><p>In temperate zone, Andresen Leit&#227;o in 1984 proposed a scale of 444 &#181;S/cm. This value corresponds to the limit of mineralization [<xref ref-type="bibr" rid="scirp.50759-ref12">12</xref>] . In comparison, the results of conductivity obtained, show that the river’s Boubo is weakly mineralized. The respective averages of nutrients are 0.94 mg/l for the<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x38.png" xlink:type="simple"/></inline-formula>, 0.024 mg/l <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x38.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x39.png" xlink:type="simple"/></inline-formula> and 0.21 mg/l<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x38.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x39.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x40.png" xlink:type="simple"/></inline-formula>. The highest concentrations reach 2.2 mg/l <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x38.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x39.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x40.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x41.png" xlink:type="simple"/></inline-formula> and 0.5 mg/l for the <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x38.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x39.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x40.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x41.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x42.png" xlink:type="simple"/></inline-formula> respectively at the station of the Centre (St2) and downstream St3 Long Dry Season (LDS). Similar studies have measured concentrations of <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x38.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x39.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x40.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x41.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x42.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x43.png" xlink:type="simple"/></inline-formula><sup> </sup>(0.25 mg/l) in the waters of the river Marahou&#233;, located on the Center of the C&#244;te d’Ivoire, and on rivers in general levels of 0.030 mg/l for phosphorus [<xref ref-type="bibr" rid="scirp.50759-ref13">13</xref>] .</p><p>In natural waters, nitrogen and phosphorus are naturally present. The respective levels are lower than 0.1 mg/l for the both <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x44.png" xlink:type="simple"/></inline-formula> and <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x44.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x45.png" xlink:type="simple"/></inline-formula> and 0.1 mg/l for the<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x44.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x45.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x46.png" xlink:type="simple"/></inline-formula>. As the results there is a relative high levels concentration of nutrients in Boubo’s river during the periods of Long Dry Season (LDS). Naturally the decomposition organics matters from plant and animal produce minerals. There is the high contribution of the charcoal production and the bushfire. This zone is characterized by the importance of agricultural farm of Hevea palmist oil, cocoa and coffee. There is also a high density of populations using fertilizers and detergents. Domestic waste water containing the detergent agro industrial effluents and fertilizer runoff elevate the nutrient level. The Chlorophyll a is the most prevalent pigment in different micro-algal classes identified in this study. Its quantification allows the determination of algal biomass in waters body. The weakness of chlorophyll a in our results can be explained by the occupation of the water’s surfaces of the stations affected by the aquatic plants such as Eichhornia crassipes, Salvinia molesta and Echinochloa pyramidalis in the dry season. These invasive plants reduce the photosynthesis, hence the low chlorophyll a. The values of chlorophyll obtained, ranging from 9.28 and 14.63 mg/l, reflect a wealth of micro-algal biomass through a chlorophyll activity relatively dense. The high concentrations observed during the rainy seasons, especially in stations downstream and in the centre are similar to the results of Pages et al. (1979) [<xref ref-type="bibr" rid="scirp.50759-ref14">14</xref>] . For these authors, the strong values of chlorophyll a are measured at the beginning of the Long Wet Season rainy (GSP). High chlorophyll a concentrations indicate in generally high phytoplankton biomass. These levels of chlorophylla could explain the abundance of the chlorophyta, the heterocontophyta, the cyanophyta and euglenophyta [<xref ref-type="bibr" rid="scirp.50759-ref15">15</xref>] .</p><p>The water quality class is defined by many de references: p.ex WHO, European Directives, EPA or the using and constraints of the national water regulations (<xref ref-type="table" rid="table2">Table 2</xref>). In absence of official references for watersheds in C&#244;te d’Ivoire, the variables of this studied are used. The mean and extreme values had been compared with the data in the literature on the quality waters reported by Deborah Chapman (1992) [<xref ref-type="bibr" rid="scirp.50759-ref16">16</xref>] . The <xref ref-type="table" rid="table2">Table 2</xref> summaries the value of the limit in natural water and the threshold of the exposure to pollution. Most of measures are significantly lower than the classified waters polluted. However, as the result, it appears that the average of<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x47.png" xlink:type="simple"/></inline-formula>, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x47.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x48.png" xlink:type="simple"/></inline-formula>, COD and BOD5 (DBO<sub>5</sub>) are superior than the threshold values established for natural waters. That represents 67% of samples analyzed for the <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x47.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x48.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x49.png" xlink:type="simple"/></inline-formula> and 100% for the other. These results show that the river cannot be considered unpolluted. The level measured at 0.2 mg/l and 0.92 mg/l for <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x47.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x48.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x49.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x50.png" xlink:type="simple"/></inline-formula> indicate the presence of pollution and the tendency for eutrophication and proliferation of invasive aquatic plants. The fringe of Eichhornia crassipes, Salvinia molesta and Echinochloa pyramidalis is a physical indication of the phenomena.</p></sec><sec id="s5"><title>5. Conclusion</title><p>The study is based on the parameters: temperature, pH, conductivity, transparency, nitrates<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x51.png" xlink:type="simple"/></inline-formula>, ammonium<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x51.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x52.png" xlink:type="simple"/></inline-formula>, orthophosphate<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x51.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x52.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-6702070x53.png" xlink:type="simple"/></inline-formula>, the Biological Demand in Oxygen (BOD5), Chemical Demand Oxygen (COD) and the chlorophyll a—indicators of the quality of a water body. The results show that temperature, pH and transparency are normal like National River. It appears in the same order of magnitude compared with surface water non-exposed to pollution. However the BOD5, COD and nutriments are both high levels. It indicates the beginning of eutrophication. Chlorophyll a concentration is significant by the presence of invasive aquatic plants. The main sources of contributions are domestic rural waste, agro-industrial holdings and bush fires. This study has shown that hydrophytes colonizing water lagoon of Abidjan was caused by the rivers. Also the nutrients (N and P) present in the washed water were the major factor. ONO River, located in the southeast, whose watershed was more contaminated by residues of fertilizers (NPK), is principal sources of proliferation of the AIP. These first results highlight the fragility of river Boubo like the most of coastal rivers and the risk of pollution by nutrients from anthropogenic activities. In the long term this river may be transformed into a site of high production of IAP. This situation will change the physico-chemical, biological and hydrological equilibrium. That is why it is urgent to take rigorousness actions to limit the charge of nutrients and implement the national program for the integrated management of water resources.</p></sec><sec id="s6"><title>Acknowledgements</title><p>The authors would like to thank AIEA projects RAF 7/008 and RAF 7/009: Supporting an Integrated Approach for Marine Pollution Monitoring Using Nuclear Analytical Techniques for providing financial and technical support for this research.</p></sec><sec id="s7"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.50759-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Anonyme (2001) Recensement National de l’Agriculture (RNA) 2001. Region du Sud-Comoe. Ministere d’Etat, Ministere de l’Agriculture, Direction des statistiques, de la documentation et de l’informatique de Cote d’Ivoire, 29 p.</mixed-citation></ref><ref id="scirp.50759-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Niamien-Ebrottie, J.E. (2010) Composition et distribution spatio-temporelle des peuplements d’algues de quatre rivieres du Sud-Est de la Cote d’Ivoire (Soumie, Eholie, Ehania et Noe). These de Doctorat Unique, Universite d’Abobo-Adjame, Abidjan, 146 p.</mixed-citation></ref><ref id="scirp.50759-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Aminot, A. and Chaussepied, M. (1983) Manuel des analyses chimiques en milieu marin. Editions Jouve, CNEXO, Paris, 395 p.</mixed-citation></ref><ref id="scirp.50759-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Murphy, J. and Riley, J.P. (1962) A Modified Single Solution Method for the Determination of Phosphorus in Natural Waters. Analytica Chimica Acta, 27, 31-36.</mixed-citation></ref><ref id="scirp.50759-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Da, K.P. (2007) Etude taxinomique du phytoplancton dulcaquicole des masses d’eau lentiques et lotiques de quelques sites au Sud de la Cote d’Ivoire, entre les fleuves Bandama et Bia: Apports de la microscopie electronique a balayage. These d’Etat es Sciences Naturelles, Universite de Cocody, Abidjan, 402 p.</mixed-citation></ref><ref id="scirp.50759-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">De Oliveira, C.J. (2000) Le phytoplancton estuarien de deux fleuves de Guyane francaise (l’Iracoubo et le Sinnamary): Caracterisation du milieu, composition et diversite specifique. These de Doctorat de l’Universite Paris 6, Paris, 258 p.</mixed-citation></ref><ref id="scirp.50759-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Iltis, A. and Leveque, C. (1982) Caracteristiques physico-chimiques des rivieres de Cote d’Ivoire. Revue d’Hydrobiologie tropicale, 15, 115-130.</mixed-citation></ref><ref id="scirp.50759-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Bremond, R. and Vuichard, R. (1973) Parametres de la qualite des eaux. Documentation Francaise, Paris, 178 p.</mixed-citation></ref><ref id="scirp.50759-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Diomande, D. (2001) Macrofaune benthique et strategies alimentaires de Synodontis bastiani et S. schall en milieu fluvio-lacustre (Bassins Bia et Agnebi, Cote d’Ivoire). These de Doctorat, Universite d’Abobo-Adjame, Abidjan, 260 p.</mixed-citation></ref><ref id="scirp.50759-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Dietoa, Y.M. (2002) Entomofaune et strategies alimentaires des poissons du genre Brycinus (Characidae) en milieux fluviatiles et lacustre (Bassins Bia et Agneby, Cote d’Ivoire). These de Doctorat, Universite d’Abobo-Adjame, Abidjan, 261 p.</mixed-citation></ref><ref id="scirp.50759-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Bamba, S.B., Ouffoue, S., Ble, M.C., Metongo, S.B. and Bakayoko, S. (2008) Etat de l’environnement lagunaire de l’ile vitre (grand-bassam, cote d’ivoire): Aspects physiques, chimiques et biologiques. Revue Ivoirienne des Sciences et Technologie, 12, 77-92.</mixed-citation></ref><ref id="scirp.50759-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Andresen Leitao, A. (1984) Aspects du phytoplancton d’un bassin de retention: Relations avec quelques parametres physico-chimiques du milieu. These de Doctorat 3e cycle. Toxicologie, Universite Paris V, Paris, 165 p.</mixed-citation></ref><ref id="scirp.50759-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Mainstone, C.P. and Parr, W. (2002) Phosphorus in Rivers—Ecology and Management. Science of the Total Environment, 282-283, 25-47. http://dx.doi.org/10.1016/S0048-9697(01)00937-8</mixed-citation></ref><ref id="scirp.50759-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Pages, J., Lemasson, L. and Dufour, P. (1979) Elements nutritifs et production primaire dans les lagunes de Cote d’Ivoire: Cycle annuel. Archives Scientifiques, Centre de Recherches Oceanographiques, Abidjan, 5, 1-60.</mixed-citation></ref><ref id="scirp.50759-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Salla, M., Da Kouhete, P., Koffi, S.O. and Traore, D. (2011) Cyanobacteries des rivieres Boubo et Me dans le Sud cotier de la Cote d’Ivoire. International Journal of Biological and Chemical Sciences, 5, 1365-1373.</mixed-citation></ref><ref id="scirp.50759-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Chapman, D. (1992) Water Quality Assessment: A Guide to the Use of Biota, Sediment and Water in Environmental Monitoring. WHO, Geneva, 585 p.</mixed-citation></ref></ref-list></back></article>