<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JWARP</journal-id><journal-title-group><journal-title>Journal of Water Resource and Protection</journal-title></journal-title-group><issn pub-type="epub">1945-3094</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jwarp.2017.96046</article-id><article-id pub-id-type="publisher-id">JWARP-76543</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>
 
 
  Low-Cost Stormwater Filtration System to Improve Urban Water Quality: The Case of Addis Ababa, Ethiopia
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Dagnachew</surname><given-names>Adugna</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>Larissa</surname><given-names>Larsen</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>Brook</surname><given-names>Lemma</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>Geremew</surname><given-names>Sahilu</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib></contrib-group><aff id="aff4"><addr-line>Institute of Water Resources, Addis Ababa University, Addis Ababa, Ethiopia</addr-line></aff><aff id="aff3"><addr-line>College of Natural Science, Addis Ababa University, Addis Ababa, Ethiopia</addr-line></aff><aff id="aff1"><addr-line>Ethiopian institute of Architecture, Building Construction and City Development, Addis Ababa University, Addis Ababa, Ethiopia</addr-line></aff><aff id="aff2"><addr-line>Taubman College of Architecture and Urban Planning, University of Michigan, Ann Arbor, Michigan, USA</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>dagnachew2@gmail.com(DA)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>11</day><month>05</month><year>2017</year></pub-date><volume>09</volume><issue>06</issue><fpage>692</fpage><lpage>705</lpage><history><date date-type="received"><day>February</day>	<month>25,</month>	<year>2017</year></date><date date-type="rev-recd"><day>Accepted:</day>	<month>May</month>	<year>24,</year>	</date><date date-type="accepted"><day>May</day>	<month>27,</month>	<year>2017</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>
 
 
  Urbanization in developing countries often negatively impacts water re-sources by polluting surface waters. Addis Ababa, Ethiopia, is currently experiencing rapid urbanization accompanied by significant water shortages, unmanaged stormwater, and increasing river water pollution. To supplement the need for non-potable water and address stormwater runoff pollution, we constructed a low cost stormwater filtration system. The filtration system is comprised of a sedimentation area followed by three gravel grain sizes arranged horizontally from coarse to medium to fine filter media. We compared the quality of pretreatment water with post-treatment water by measuring physicochemical parameters, heavy metals and nutrients. We found that the filtration system reduced turbidity by 87%, TSS by 80%, Cu by 87% and Zn by 90%. Further, it positively increased the concentration of DO by 42%. However, the filtration system did not remove nitrates and nitrites. Implementing this system at outfalls in the rapidly expanding condominium housing areas can increase residents’ supply of non-potable water and reduce the amount of polluted stormwater entering nearby streams and rivers.
 
</p></abstract><kwd-group><kwd>Low Cost</kwd><kwd> Stormwater</kwd><kwd> Filtration</kwd><kwd> Addis Ababa</kwd><kwd> Water Quality</kwd><kwd> Performance Test</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Urbanization in developing countries often negatively impacts water resources by polluting surface waters [<xref ref-type="bibr" rid="scirp.76543-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.76543-ref2">2</xref>] and decreasing infiltration to recharge aquifers [<xref ref-type="bibr" rid="scirp.76543-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.76543-ref4">4</xref>] . Simultaneously, water demand increases with population growth and per capita consumption rises with increasing standards of living. Addis Ababa, which is the capital of Ethiopia and the site of many international organizations, is currently experiencing rapid urbanization [<xref ref-type="bibr" rid="scirp.76543-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.76543-ref6">6</xref>] . Since 2007 when the population was 2.7 million [<xref ref-type="bibr" rid="scirp.76543-ref7">7</xref>] , it has expanded to an estimated 4 million. For new residents, access to water as well as housing is two significant problems.</p><p>In an effort to address Addis Ababa’s housing shortage, the city administration is constructing an extensive number of multi-story, multi-family condominium projects. According to the Addis Ababa Housing Construction and Development Bureau (2014), these multistory condominiums, are located on more than 134 sites throughout the city and are projected to house 1.3 million people upon completion [<xref ref-type="bibr" rid="scirp.76543-ref6">6</xref>] . One of the problems linked with these new developments is a water shortage due to the imbalance between the available water supply sources (such as limited water supply sources and insufficient water infrastructure) and the growing population (the annual rate of population growth is 2.8%) [<xref ref-type="bibr" rid="scirp.76543-ref8">8</xref>] .</p><p>The natural distribution of rainfall is another challenge to the provision of water for Addis Ababa residents. While the city receives an average annual rainfall of 1057 mm [<xref ref-type="bibr" rid="scirp.76543-ref9">9</xref>] , 75% falls during a four-month rainy season. Due to the erratic nature of the rainfall, improving water supplies would require huge reservoirs to harvest rain water for later use. These are unaffordable and practically impossible. Little attention is given to stormwater management as a resource and most stormwater is directly discharged into rivers reducing river water quality [<xref ref-type="bibr" rid="scirp.76543-ref10">10</xref>] . The rivers are highly polluted year round and many city residents consider the rivers as sewer lines [<xref ref-type="bibr" rid="scirp.76543-ref11">11</xref>] . Thus, providing a low cost stormwater filtration system could provide water for non-potable uses at the new condominium developments and reduce the amount of polluted stormwater reaching the rivers. Moreover, the filtration system addressed residents’ stated concerns that standing water impeded children’s play in the common areas.</p><p>Sustainable stormwater filtration systems are generally categorized either as coarse or fine filtration systems. Coarse media stormwater filtration is efficient for larger pollutant removal, but it is not effective in removing dissolved pollutants [<xref ref-type="bibr" rid="scirp.76543-ref12">12</xref>] . In addition, coarse media filtration is more likely to clog due to the migration of fine sediments and compaction of the media [<xref ref-type="bibr" rid="scirp.76543-ref13">13</xref>] . Conversely, fine filter media may provide for better removal of pollutants through mechanisms that include fine filtration, sorption, ionic adhesion, and precipitation [<xref ref-type="bibr" rid="scirp.76543-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.76543-ref15">15</xref>] . Recently sustainable stormwater management systems are increasingly used in both the United States and Australia [<xref ref-type="bibr" rid="scirp.76543-ref16">16</xref>] , although there is currently limited data evaluating their water quality impacts [<xref ref-type="bibr" rid="scirp.76543-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.76543-ref18">18</xref>] .</p><p>In addition, sand filtration systems are also categorized as either slow or rapid sand filters. In general, the sand filtration systems work vertically at various depths and they are generally found to be more effective at greater depths. Slow sand filters have a grain size of 0.15 to 0.35 mm and are used as a secondary treatment to reduce pathogen concentrations. Slow sand filtration is used to produce drinking water―the size of the filtration system is determined based on the required flow rate [<xref ref-type="bibr" rid="scirp.76543-ref19">19</xref>] . Slow sand filter is a biological process which reduces bacteria from 90% - 99% without chemicals [<xref ref-type="bibr" rid="scirp.76543-ref19">19</xref>] . However, slow sand filtration requires low turbidity levels to work efficiently and filters water at a slow, constant rate so that the biological processes can occur [<xref ref-type="bibr" rid="scirp.76543-ref19">19</xref>] . In Gaza, a vertical slow sand filtration system was tested for fecal coliform and suspended solid to investigate the removal efficiency of the system at different filter depth. Using a 203 mm (or 8 inch) cylindrical PVC-U pipe, the slow sand filter removed fecal coliform at a depth of 150 cm [<xref ref-type="bibr" rid="scirp.76543-ref20">20</xref>] .</p><p>Rapid sand filters use sand that varies from 0.4 to 12.0 mm in grain size and they are used for primary treatment [<xref ref-type="bibr" rid="scirp.76543-ref21">21</xref>] . Rapid sand filtration alone is not as effective for producing drinking water as slow sand filtration due to the fact that the biological systems are relatively less effective [<xref ref-type="bibr" rid="scirp.76543-ref19">19</xref>] . According to Zaman et al. [<xref ref-type="bibr" rid="scirp.76543-ref19">19</xref>] , rapid sand filtration is suitable for large urban areas where land is scarce. Conversely slow filtration is suitable to areas where land scarcity is not a problem as it requires a larger surface area to filter the same amount of water.</p><p>Gravel is the other commonly used filter media to treat polluted water by the formation of biofilm. The biofilm is a gelatinous layer consisting of bacteria, algae, protozoa and other aquatic insect larvae that develops after 10 to 20 days of operation and degrades some of the organic components. Further, the filter materials remove pollutants by adsorption, sedimentation, physical and mechanical straining [<xref ref-type="bibr" rid="scirp.76543-ref22">22</xref>] . Moreover, in a vermifiltration system, gravel ranging in grain size from 10 to 40 mm in combination with sawdust was used to filter grey wastewater. The average removal efficiency of the system for TSS was found to be 98% [<xref ref-type="bibr" rid="scirp.76543-ref23">23</xref>] .</p><p>To correct some of the identified drawbacks of the coarse media filtration and the sand filtration systems, the present study combined three gravel grain sizes (coarse, medium and fine gravels). To maintain separation of the three gravel areas, we added layers of wire mesh. Importantly to reduce the possibility of clogging, a sedimentation pond was created nearest the inlet to trap sediments before it entered the filtration system.</p><p>This study focuses on a horizontal filtration system where water passes through the three grain sizes-from the coarse to the fine gravel. We selected this horizontal arrangement, as opposed to a vertical system, so the water could flow smoothly at shallow depths without mechanical pumping. We call this a low cost stormwater filtration system because it relies on locally available materials, is relatively low-cost, is simple to construct and requires no pumping. This system is appropriate for the context of Addis Ababa because it would help reduce water shortages in the condominium housing areas and reduce the contribution of polluted stormwater to the rivers. Municipalities or community groups could implement this low-cost stormwater filtration system at outfalls along with installing new drains and retrofitting the existing outfalls.</p><p>The specific objectives of this study are to:</p><p>・ Characterize pre treatment stormwater quality at the condominium site,</p><p>・ Develop low-cost stormwater filtration system and estimate the filtration capacity of the system,</p><p>・ Test the performance of the low-cost stormwater filtration system in reducing pollutants.</p></sec><sec id="s2"><title>2. Materials and Methodology</title><sec id="s2_1"><title>2.1. Study Area</title><p>The study area is located at the “Biruh tesfa” compound in Jemo No. 1 condominium in a southwestern part of Addis Ababa. There are 1264 people who live in “Biruh tesfa”. The “Biruh tesfa” community gave permission for the construction and testing of this filtration system (<xref ref-type="fig" rid="fig1">Figure 1</xref>). In addition, there was a commitment from the community representatives to connect the filtration system with storage tanks to use the filtered water for non-drinking purposes (e.g. car washing, urban agriculture within the “Biruh tesfa” compound).</p></sec><sec id="s2_2"><title>2.2. Materials and Methods</title><p>Stormwater at the “Biruh tesfa” compound was collected at a manhole where stormwater from a rooftop, local streets, and parking lots combined. The manhole is connected to our filtration system by underground PVC pipe. Based on the volume of the stormwater from the rooftop, local streets, and parking lots, we selected a 110 mm PVC pipe stormwater (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p><p>On site, a 2.22 meter by 1.22 meter rectangular brick masonry box was constructed in the ground at a depth of 0.60 meter (<xref ref-type="fig" rid="fig3">Figure 3</xref>). The box for the filtration system was made based on the volume of stormwater which can be generated from the rooftop, local street and parking lots. The filtration bed was made from concrete on top of compacted stones. The walls were plastered with mortar to prevent leakage and/or entrance of water from outside via the brick joints. To</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> The condominium housing area, filtration system, and distribution of area land uses</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/11-9403124x2.png"/></fig><fig id="fig2"  position="float"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Schematic presentation of the filtration system with the contributing sub-watersheds that drain into the system (B30 stands for Block No. 30 apartment)</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/11-9403124x3.png"/></fig><fig id="fig3"  position="float"><label><xref ref-type="fig" rid="fig3">Figure 3</xref></label><caption><title> The schematic presentation of the elements of the low-cost stormwater filtration system with their dimensions and volumetric capacity</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/11-9403124x4.png"/></fig><p>prevent the entrance of rainwater from the top, after the three filters media were in place, geo-synthetic material was laid on the top. The top of the filtration system was then covered with soil except for the area over the sedimentation pond that was covered by a reinforced concrete slab to permit maintenance. Within the rectangular masonry box, there are four different compartments. The sedimentation area at the inlet of the system traps is created by a wood baffle. This area permits sediments and some soluble pollutants to settle before water then enter into the filtration system.</p><p>After the sedimentation area, the next three compartments are filled with coarse (30 - 40 mm), medium (20 - 30 mm) and fine (10 - 20 mm) gravel respectively. Small holes were uniformly drilled at a depth of 25 centimeters from the top on the common wall between the sedimentation area and the filtration system (<xref ref-type="fig" rid="fig4">Figure 4</xref>). The length of the filter with the finest gravel was 50% of the total length of the filtration system and the medium was about 33%. The remaining 17% of the total length of the filtration system was the coarse gravel. The area with the finest gravel is largest due to its smaller hydraulic conductivity and relative importance in filtering the stormwater.</p></sec><sec id="s2_3"><title>2.3. Stormwater Samples Collection for Performance Test</title><p>To evaluate the filtration system’s performance, stormwater samples were collected before and after the filtration system. Pre treatment samples were taken at the manhole. Post treatment samples were taken after the stormwater passed through the filtration system. For reliability, we collected three sets of samples within a rainy season (between July and August), more than 10 days after construction (to let the biofilms develop).</p><p>The pre and post-treatment water samples were tested for levels of physicochemical parameters (pH, EC, Turbidity and DO), nutrients (NO<sub>2</sub>-N, NO<sub>3</sub>-N, NH<sub>3</sub>-N and PO<sub>4</sub>-P) and heavy metals (Cu, Cr, Pb and Zn).</p></sec><sec id="s2_4"><title>2.4. Stormwater Samples Transportation</title><p>The stormwater samples were collected with a plastic container (20 liters in volume) pre and post treatment in the low-cost stormwater filtration system immediately after rain fall and measured in-situ for pH, DO (mg/l), EC (μs/cm) and Turbidity (NTU). The other stormwater samples for NO<sub>2</sub>-N, NO<sub>3</sub>-N, NH<sub>3</sub>-N, PO<sub>4</sub>-P, Cu, Pb, Zn, and Cr analysis were collected at same time at the same sampling point with plastic bottles rinsed with distilled water (1000 ml in volume) and then transported within two hours for laboratory analysis.</p><fig id="fig4"  position="float"><label><xref ref-type="fig" rid="fig4">Figure 4</xref></label><caption><title> The low-cost stormwater filtration system from excavation to filling the system with filtration media (top) to making the system ready for performance test (bottom)</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/11-9403124x5.png"/></fig></sec><sec id="s2_5"><title>2.5. Stormwater Samples Measurement</title><p>The physicochemical parameters (DO, pH, EC and Turbidity) were measured using standard methods (APHA, 1998). The DO probe (LDO 10105, Model USPAT 6912050) and the Conductivity probe (CDC 40105) were mounted on the multi-meter (Hach-Model-HQ40d multi-parameter digital meter) which measures DO and pH, and EC respectively. The turbidity was measured using the portable turbidity meter (OAKTON T-100 Model).</p><p>The concentration of NO<sub>2</sub>-N, NO<sub>3</sub>-N, NH<sub>3</sub>-N and PO<sub>4</sub>-P were analyzed at the lab using spectrophotometer (JENWAY 6405 UV/Vis) following standard methods (APHA, 1995).</p><p>The heavy metals including Cr, Cu, Mn, and Zn were analyzed using Bicin Chonimate, Diphenyl carbohydride, Periodate oxidation and Zincon (HACH, Atomic Absorption Spectrometer) methods respectively.</p></sec><sec id="s2_6"><title>2.6. Softwares Used to Delineate the Land Uses Draining in to the Filtration System</title><p>ArcGIS was used to delineate the contributing sub-watersheds (or land uses) that drain stormwater into the filtration system and to calculate the area of each contributing sub-watershed following ESRI’s standard method. Furthermore, Microsoft excel was employed to analyze the in-situ and laboratory data of stormwater including the means and percentage removal efficiency of the filtration system.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. The Low-Cost Stormwater Filtration System and Its Filtering Capacity</title><p>Based on <xref ref-type="fig" rid="fig2">Figure 2</xref>, the volume of the filtration system and volume of stormwater diverted from upstream contributing land uses in to the filtration system was computed as follows:</p><p>Volume of stormwater diverted from the rooftop (Rt), Local street (Ls), Parking lots (Pl) and green spaces (Gs) in to the filtration system:</p><p>= stormwater from (rooftops + local streets + parking lots + green spaces);</p><p>= Area of contributing land use &#215; Runoff coefficient &#215; Daily rainfall;</p><p>= (A of Rt &#215; C &#215; R) + (A of Ls &#215; R) + (A of Pl &#215; C &#215; R) + (A of Gs &#215; C &#215; R);</p><p>= (148 m<sup>2</sup> &#215; 0.85 &#215; 31.4 mm/day) + (378 m<sup>2</sup> &#215; 0.5 &#215; 31.4 mm/day) + (177 m<sup>2</sup> &#215; 0.4 &#215; 31.4 mm/day) + (121 m<sup>2</sup> &#215; 0.2 &#215; 31.4 mm/day);</p><p>= 12,870 liters per day or 536 liters per hour or 8.9 liters per minute.</p><p>According to the volume of stormwater which can be generated from the contributing land uses, the volume and capacity of the filtration system was estimated.</p><p>Volume of filtration system = Volume of the (course + medium + fine) filtering media:</p><p>= (0.229 m &#215; 1.22 m &#215; 0.6 m) + (0.58 m &#215; 1.22 m &#215; 0.60 m) + (0.86 m &#215; 1.22 m &#215; 0.60 m);</p><p>= 1.28 m<sup>3</sup>.</p><p>The PVC pipe transports 1.14 m<sup>3</sup> (π &#215; r<sup>2</sup> &#215; 30 m) of stormwater once per its entire length (30 m) showing that with a free board of nearly 10% the filtration system (1.28 m<sup>3</sup> capacity) has the ability to hold all the stormwater that passes through the PVC pipe. Further, stormwater from the common points of the contributing watersheds (i.e. at the manhole) to the filtration system were reached in 70 seconds. Thus, 10.42 liters {(12.8 m<sup>3</sup> &#215; 70 sec) &#247; (24 hr &#215; 3600 sec/hr)} of stormwater could be filtered (or treated) per 70 seconds revealing that 0.15 liters (10.42 liters &#247; 70 sec) of stormwater could be filtered per second by the filtration system.</p><p>In the future, we hope that water storage tanks will be connected to the outlet of the filtration system and local residents can use the filtered water for activities such as car washing and urban agriculture.</p></sec><sec id="s3_2"><title>3.2. Pre Treatment Stormwater Quality</title><p>The concentration of stormwater pollutants and physicochemical parameters found in-situ and with laboratory measurements is reported in <xref ref-type="table" rid="table1">Table 1</xref>.</p></sec><sec id="s3_3"><title>3.3. Performance of the Low-Cost Stormwater Filtration System</title><p>The performance of the filtration system was tested for physicochemical parameters, heavy metals, total suspended solids and nutrients (Tables 2-4). The results of the present study showed that, with the exception of the nutrients, quality of the stormwater had notably improved.</p><p>Physical observation (as presented in <xref ref-type="fig" rid="fig5">Figure 5</xref>) showed that the filtration system in clarity after filtration.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> The pre-treatment concentration of stormwater pollutants at “Biruh tesfa” compound</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"   rowspan="2"  >Stormwater pollutants and physicochemical parameters</th><th align="center" valign="middle"  colspan="3"  >Replications</th><th align="center" valign="middle"  rowspan="2"  >Mean value</th></tr></thead><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >3</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Physicochemical parameters</td><td align="center" valign="middle" >DO (mg/l)</td><td align="center" valign="middle" >5.15</td><td align="center" valign="middle" >2.56</td><td align="center" valign="middle" >5.26</td><td align="center" valign="middle" >4.32</td></tr><tr><td align="center" valign="middle" >Turbidity (NTU)</td><td align="center" valign="middle" >777</td><td align="center" valign="middle" >675.3</td><td align="center" valign="middle" >454</td><td align="center" valign="middle" >635.43</td></tr><tr><td align="center" valign="middle" >EC (μs/cm)</td><td align="center" valign="middle" >44.9</td><td align="center" valign="middle" >41.7</td><td align="center" valign="middle" >63.4</td><td align="center" valign="middle" >50.00</td></tr><tr><td align="center" valign="middle" >pH</td><td align="center" valign="middle" >8.58</td><td align="center" valign="middle" >7.96</td><td align="center" valign="middle" >8.13</td><td align="center" valign="middle" >8.22</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Heavy metals</td><td align="center" valign="middle" >Cu (mg/l)</td><td align="center" valign="middle" >0.12</td><td align="center" valign="middle" >0.08</td><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >0.08</td></tr><tr><td align="center" valign="middle" >Pb (mg/l)</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Zn (mg/l)</td><td align="center" valign="middle" >2.30</td><td align="center" valign="middle" >3.72</td><td align="center" valign="middle" >5.06</td><td align="center" valign="middle" >3.69</td></tr><tr><td align="center" valign="middle" >Cr (mg/l)</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Nutrients</td><td align="center" valign="middle" >NO<sub>2</sub>-N (mg/l)</td><td align="center" valign="middle" >0.538</td><td align="center" valign="middle" >4.15</td><td align="center" valign="middle" >0.167</td><td align="center" valign="middle" >1.62</td></tr><tr><td align="center" valign="middle" >NO<sub>3</sub>-N (mg/l)</td><td align="center" valign="middle" >0.179</td><td align="center" valign="middle" >0.094</td><td align="center" valign="middle" >0.393</td><td align="center" valign="middle" >0.074</td></tr><tr><td align="center" valign="middle" >NH<sub>3</sub>-N (mg/l)</td><td align="center" valign="middle" >0.422</td><td align="center" valign="middle" >0.523</td><td align="center" valign="middle" >0.074</td><td align="center" valign="middle" >0.114</td></tr><tr><td align="center" valign="middle" >PO<sub>4</sub>-P (mg/l)</td><td align="center" valign="middle" >0.374</td><td align="center" valign="middle" >0.196</td><td align="center" valign="middle" >0.0178</td><td align="center" valign="middle" >0.065</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Physicochemical water quality parameters</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="3"  ></th><th align="center" valign="middle"  colspan="6"  >Replication No.</th><th align="center" valign="middle"  colspan="2"   rowspan="2"  >Mean</th><th align="center" valign="middle"  rowspan="3"  >% mean removal</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  >1</td><td align="center" valign="middle"  colspan="2"  >2</td><td align="center" valign="middle"  colspan="2"  >3</td></tr><tr><td align="center" valign="middle" >Before</td><td align="center" valign="middle" >After</td><td align="center" valign="middle" >Before</td><td align="center" valign="middle" >After</td><td align="center" valign="middle" >Before</td><td align="center" valign="middle" >After</td><td align="center" valign="middle" >Before</td><td align="center" valign="middle" >After</td></tr><tr><td align="center" valign="middle" >Turbidity (NTU)</td><td align="center" valign="middle" >777</td><td align="center" valign="middle" >123.33</td><td align="center" valign="middle" >675.3</td><td align="center" valign="middle" >454</td><td align="center" valign="middle" >454</td><td align="center" valign="middle" >79.10</td><td align="center" valign="middle" >635.43</td><td align="center" valign="middle" >84.04</td><td align="center" valign="middle" >−87%</td></tr><tr><td align="center" valign="middle" >EC (μs/cm)</td><td align="center" valign="middle" >44.9</td><td align="center" valign="middle" >37.87</td><td align="center" valign="middle" >41.7</td><td align="center" valign="middle" >35.60</td><td align="center" valign="middle" >63.4</td><td align="center" valign="middle" >54.90</td><td align="center" valign="middle" >50.00</td><td align="center" valign="middle" >42.79</td><td align="center" valign="middle" >−14%</td></tr><tr><td align="center" valign="middle" >pH</td><td align="center" valign="middle" >8.58</td><td align="center" valign="middle" >7.88</td><td align="center" valign="middle" >7.96</td><td align="center" valign="middle" >7.88</td><td align="center" valign="middle" >8.13</td><td align="center" valign="middle" >8.00</td><td align="center" valign="middle" >8.22</td><td align="center" valign="middle" >7.92</td><td align="center" valign="middle" >4%</td></tr><tr><td align="center" valign="middle" >DO (mg/l)</td><td align="center" valign="middle" >5.15</td><td align="center" valign="middle" >6.2</td><td align="center" valign="middle" >2.56</td><td align="center" valign="middle" >4.7</td><td align="center" valign="middle" >5.26</td><td align="center" valign="middle" >7.5</td><td align="center" valign="middle" >4.32</td><td align="center" valign="middle" >6.15</td><td align="center" valign="middle" >+42%</td></tr><tr><td align="center" valign="middle" >Total suspended solids (mg/l)</td><td align="center" valign="middle" >2777.10</td><td align="center" valign="middle" >92.80</td><td align="center" valign="middle" >1040</td><td align="center" valign="middle" >415</td><td align="center" valign="middle" >1535</td><td align="center" valign="middle" >580</td><td align="center" valign="middle" >1784.033</td><td align="center" valign="middle" >362.60</td><td align="center" valign="middle" >−80%</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Heavy metals</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="3"  ></th><th align="center" valign="middle"  colspan="6"  >Replication No.</th><th align="center" valign="middle"  colspan="2"   rowspan="2"  >Mean</th><th align="center" valign="middle"  rowspan="3"  >% mean removal</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  >1</td><td align="center" valign="middle"  colspan="2"  >2</td><td align="center" valign="middle"  colspan="2"  >3</td></tr><tr><td align="center" valign="middle" >Before</td><td align="center" valign="middle" >After</td><td align="center" valign="middle" >Before</td><td align="center" valign="middle" >After</td><td align="center" valign="middle" >Before</td><td align="center" valign="middle" >After</td><td align="center" valign="middle" >before</td><td align="center" valign="middle" >After</td></tr><tr><td align="center" valign="middle" >Cu (mg/l)</td><td align="center" valign="middle" >0.12</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >0.08</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >0.0767</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >−87%</td></tr><tr><td align="center" valign="middle" >Zn (mg/l)</td><td align="center" valign="middle" >2.30</td><td align="center" valign="middle" >0.20</td><td align="center" valign="middle" >3.72</td><td align="center" valign="middle" >0.21</td><td align="center" valign="middle" >5.06</td><td align="center" valign="middle" >0.73</td><td align="center" valign="middle" >3.69</td><td align="center" valign="middle" >0.38</td><td align="center" valign="middle" >−90%</td></tr><tr><td align="center" valign="middle" >Pb (mg/l)</td><td align="center" valign="middle" >Below detection limit (BDL)</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Cr (mg/l)</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >-</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Nutrients</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="3"  ></th><th align="center" valign="middle"  colspan="6"  >Replication No.</th><th align="center" valign="middle"  colspan="2"   rowspan="2"  >Mean</th><th align="center" valign="middle"  rowspan="3"  >% mean removal</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  >1</td><td align="center" valign="middle"  colspan="2"  >2</td><td align="center" valign="middle"  colspan="2"  >3</td></tr><tr><td align="center" valign="middle" >Before</td><td align="center" valign="middle" >After</td><td align="center" valign="middle" >Before</td><td align="center" valign="middle" >After</td><td align="center" valign="middle" >Before</td><td align="center" valign="middle" >After</td><td align="center" valign="middle" >before</td><td align="center" valign="middle" >After</td></tr><tr><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/11-9403124x6.png" xlink:type="simple"/></inline-formula>-N (mg/l)</td><td align="center" valign="middle" >0.422</td><td align="center" valign="middle" >0.069</td><td align="center" valign="middle" >0.523</td><td align="center" valign="middle" >0.18</td><td align="center" valign="middle" >0.074</td><td align="center" valign="middle" >0.378</td><td align="center" valign="middle" >0.340</td><td align="center" valign="middle" >0.209</td><td align="center" valign="middle" >−38%</td></tr><tr><td align="center" valign="middle" >PO<sub>4</sub>-P (mg/l)</td><td align="center" valign="middle" >0.374</td><td align="center" valign="middle" >0.168</td><td align="center" valign="middle" >0.196</td><td align="center" valign="middle" >0.223</td><td align="center" valign="middle" >0.0178</td><td align="center" valign="middle" >0.045</td><td align="center" valign="middle" >0.196</td><td align="center" valign="middle" >0.145</td><td align="center" valign="middle" >−26%</td></tr><tr><td align="center" valign="middle" >NO<sub>2</sub>-N (mg/l)</td><td align="center" valign="middle" >0.538</td><td align="center" valign="middle" >3.086</td><td align="center" valign="middle" >4.154</td><td align="center" valign="middle" >0.374</td><td align="center" valign="middle" >1.675</td><td align="center" valign="middle" >19.22</td><td align="center" valign="middle" >2.122</td><td align="center" valign="middle" >7.560</td><td align="center" valign="middle" >+356</td></tr><tr><td align="center" valign="middle" >NO<sub>3</sub>-N (mg/l)</td><td align="center" valign="middle" >0.179</td><td align="center" valign="middle" >3.299</td><td align="center" valign="middle" >0.094</td><td align="center" valign="middle" >0.607</td><td align="center" valign="middle" >0.383</td><td align="center" valign="middle" >0.393</td><td align="center" valign="middle" >0.219</td><td align="center" valign="middle" >1.433</td><td align="center" valign="middle" >+654</td></tr></tbody></table></table-wrap></sec></sec><sec id="s4"><title>4. Discussion</title><p>The present study was limited to stormwater filtration as the entire condominium site where all the sanitation systems (e.g. toilets, showers, kitchens) are connected into a separate sewer system.</p><fig-group id="fig5"><label><xref ref-type="fig" rid="fig5">Figure 5</xref></label><caption><title> A physical comparison of the performance of the filtration system before and after filtration shows the improvement in the water quality.</title></caption><fig id ="fig5_1"><label></label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/11-9403124x7.png"/></fig><fig id ="fig5_2"><label></label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/11-9403124x8.png"/></fig></fig-group><sec id="s4_1"><title>4.1. Characterization of Stormwater Pollutants and Physicochemical Parameters</title><p>In Addis Ababa, Ethiopia, the absence of stormwater water quality data has hindered research. Therefore, the pretreatment stormwater pollutant data may serve as a baseline for further investigations. The data showed that stormwater pollutants common in urban areas [<xref ref-type="bibr" rid="scirp.76543-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.76543-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.76543-ref26">26</xref>] were also found at the condominium housing site.</p></sec><sec id="s4_2"><title>4.2. Building a Low-Cost Stormwater Filtration System</title><p>As in many urban areas, stormwater management is a problem in Addis Ababa, Ethiopia [<xref ref-type="bibr" rid="scirp.76543-ref27">27</xref>] [<xref ref-type="bibr" rid="scirp.76543-ref28">28</xref>] . This stormwater filtration system was built to investigate a low-cost, on-site approach that provide residents with additional water and reduce stormwater pollutants from entering the river. In the short term (before city-wide structures are put in place), low-cost stormwater filtration system such as this one can be installed at outfalls in existing or newly constructed drains. This system costs approximately $1400 USD.</p></sec><sec id="s4_3"><title>4.3. Performance of the Low-Cost Stormwater Filtration System</title><p>Based on a comparison of pre and post-treatment water samples, the filtration system removed turbidity by 87%, decreased conductivity by 14% and increased the desirable dissolved oxygen by 42%. The filtration system also removed the detected heavy metals of Cu and Zn by more than 85%. This is promising when compared with the heavy metal reduction achieved by other stormwater treatment technologies such as wetlands, infiltration trenches, retention ponds [<xref ref-type="bibr" rid="scirp.76543-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.76543-ref30">30</xref>] . The performance test provided evidence for the effectiveness of the system at outfalls (refer <xref ref-type="fig" rid="fig6">Figure 6</xref>) in areas of the city where no pathogens are not expected</p><fig id="fig6"  position="float"><label><xref ref-type="fig" rid="fig6">Figure 6</xref></label><caption><title> Installing the low-cost stormwater filtration system as outfall</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/11-9403124x9.png"/></fig><p>due to the presence of sewer systems (e.g. condominiums, industries, universities). This implies that if Addis Ababa is going to install the present technology at outfalls the rivers water quality will be significantly improved.</p><p>Such promising performances may be due to adsorption [<xref ref-type="bibr" rid="scirp.76543-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.76543-ref32">32</xref>] and the formation of biofilms (a thin layer of cells of microorganisms such as bacteria, and fungus) on the surfaces of the gravel (Headley &amp; Tanner, 2012 and Wong et al., 1999). In addition, the sedimentation area combined with adsorption and biofilms might have increased the performance of the filtration system by settling the dissolved pollutants before they get in to the filtration system. The findings of Jellison et al. (2000) showed that biofilm can be developed 10 - 20 days after construction-which is consistent with the present study as samples were taken from the filtration system after 10 days.</p><p>The present study cannot be compared with sand filtration systems conducted by various researchers (e.g. Zaman et al., 2014; Nassar &amp; Hajjaj, 2013 and Rowe &amp; Abdel-Majid, 1995) as the grain size of sand filtration system varied significantly. In addition, our system involved three gravel grain sizes in a horizontal arrangement. Conversely, studies conducted by Rowe &amp; Abdel-Majid (1995), Nassar &amp; Hajjaj (2013) and Zamana et al. (2014) used different the filter media (i.e. the sands) and were vertically arranged.</p></sec></sec><sec id="s5"><title>5. Conclusion</title><p>In Addis Ababa, Ethiopia, stormwater runoff carries pollutants that impair river water quality. Thus, to supplement residents’ need for non-potable water supplies and to improve river water quality, we constructed a low cost stormwater filtration system and tested its effectiveness in July through August 2016 (during the Ethiopian rainy season) by comparing water samples based on levels of physicochemical parameters, heavy metals and nutrients. The stormwater was collected from the rooftops, a local street, and parking lots. Our system used three gravel grain sizes (coarse, medium and fine) arranged horizontally from coarse to medium to fine. Based on water sample testing, our filtration system removed turbidity, total suspended solids, and heavy metals by more than 80%. Further, it increased the concentration of dissolved oxygen by 42%. However, our filtration system was not effective at lowering nitrates and nitrites levels. It is our hope that the filtered stormwater will eventually be connected to an underground storage tank at the “Biruh tesfa” condominium housing site. We will continue to monitor the water quality and we hope this low-cost filtration system will serve as a community asset that produces water quality improvements and assists residents in their daily tasks.</p></sec><sec id="s6"><title>Cite this paper</title><p>Adugna, D., Larsen, L., Lemma, B. and Sahilu, G. (2017) Low-Cost Stormwater Filtration System to Improve Urban Water Quality: The Case of Addis Ababa, Ethiopia. Journal of Water Re- source and Protection, 9, 692-705. https://doi.org/10.4236/jwarp.2017.96046</p></sec></body><back><ref-list><title>References</title><ref id="scirp.76543-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Ouyang, T., Zhu, Z. and Kuang, Y. (2006) Assessing Impact of Urbanization on River Water Quality in the Pearl River Delta Economic Zone, China. 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