<?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.2020.122009</article-id><article-id pub-id-type="publisher-id">JWARP-98176</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>
 
 
  Biological Treatability of Low Total Dissolved Solids (LTDS) Using SBR as a Pre-Treatment for Reverse Osmosis
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sareddy</surname><given-names>Ravi Sankara Reddy</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Satyanarayana</surname><given-names>Yalakala</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Vara</surname><given-names>Saritha</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Environmental Science, GITAM Institute of Science, GITAM (Deemed to be) University, Visakhapatnam, India</addr-line></aff><pub-date pub-type="epub"><day>19</day><month>01</month><year>2020</year></pub-date><volume>12</volume><issue>02</issue><fpage>135</fpage><lpage>154</lpage><history><date date-type="received"><day>7,</day>	<month>January</month>	<year>2020</year></date><date date-type="rev-recd"><day>7,</day>	<month>February</month>	<year>2020</year>	</date><date date-type="accepted"><day>10,</day>	<month>February</month>	<year>2020</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>
 
 
  Huge quantity of effluents is generated from pharmaceutical industries attributed to their wide array of manufacturing and maintenance processes. Wastewaters from pharmaceuticals are characterized by the presence of solids, pH, temperature, biodegradable organic compounds, unusual turbidity, hardness and conductivity. Wastewater from pharmaceutical industry arising from various units is categorised as low total dissolved solids (LTDS) and high total dissolved solids (HTDS) based on the concentration of total dissolved solids. The present study focuses on treatment of LTDS using a combination of biological treatment followed by membrane process, reverse osmosis. This research presents the results from the pilot-scale studies focussed on biological treatment using SBR as pre-treatment for RO towards the removal of LTDS effluent. Three-month data on a daily basis is presented. The efficiency of the process was tested with a reduction in parameters like total dissolved solids and chemical oxygen demand. SBR tested for its suitability as a preliminary treatment for the Reverse Osmosis process during the months of August-October. The highest and lowest TDS reduction was recorded as 9.72% and ?4.67% in the month of August. The highest and least COD reduction was recorded as 87.28% and 80.66% in the same month. The highest and lowest TDS reduction was recorded as 0.84% and ?7.92% in the month of September. The highest and least COD reduction was recorded as 87.07% and 83.28% in the same month. The performance of RO tested for its efficiency in removing the TDS and COD after SBR as pre-treatment. The highest and lowest TDS reduction was recorded as 94.93% and 93.27% in the month of August. The highest and least COD reduction was recorded as 96.84% and 90.19% in the same month. The highest and lowest TDS reduction was recorded at 96.53% and 91.25% in the month of October. The highest and least COD reduction was recorded as 94.31% and 72.57% in the same month. SBR has proved to be a promising solution for pre-treatment removing all substances that might result in membrane fouling. Hence, the present study concludes that a combination of SBR and RO will be a promising solution for effective removal of TDS and COD from pharmaceutical wastewaters. 
 
</p></abstract><kwd-group><kwd>Low Total Dissolved Solids</kwd><kwd> Sequencing Batch Reactor</kwd><kwd> Reverse Osmosis</kwd><kwd> Pharmaceutical Effluents</kwd><kwd> Waste Water</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Pharmaceuticals are considered as large and assorted assembly of natural and synthetic compounds which are intended to preclude, cure and treat chronic and acute diseases towards improving prospects of health. Modern society is driven and protected by pharmaceuticals and their beneficial effects are widely recognized, for example, its utilization has led to long life expectation by people and development in health care. Consumption and use of pharmaceuticals are constantly increasing, which attributes to the discovery of novel drugs. Global drug consumption by humans is nearly 1 lakh ton/year, with an average of 15 gm/capita/annum [<xref ref-type="bibr" rid="scirp.98176-ref1">1</xref>]. While 12,000 authorized human pharmaceuticals are reported that 850 active compounds are realised to be troublesome with respect to the environment [<xref ref-type="bibr" rid="scirp.98176-ref2">2</xref>].</p><p>Indian pharmaceutical industry is ranked third-largest in the world with reference to volume and is at 14<sup>th</sup> position with reference to value. Experiencing 8 to 9 per cent annual growth rate, it is predicted to have 4.5 billion dollars’ worth [<xref ref-type="bibr" rid="scirp.98176-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.98176-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.98176-ref5">5</xref>]. The pharmaceutical industry encompasses the manufacturing of biological products, botanical products, medicinal chemicals and pharmaceutical products. The industry is portrayed with diverse products, plant sizes, processes including quality and quantity of wastewater generated. Having such diversity, describing a “distinctive” pharmaceutical wastewater is nearly impossible [<xref ref-type="bibr" rid="scirp.98176-ref6">6</xref>]. Typical processes in pharmaceutical manufacturing include fermentation, chemical synthesis, extraction along with other complex methods. Huge quantity of effluents is generated from pharmaceutical industries attributed to their wide array of manufacturing and maintenance processes.</p><p>Wastewaters from pharmaceuticals are characterized by the presence of solids, pH, temperature, biodegradable organic compounds, unusual turbidity, hardness and conductivity. Further, pollution index of these wastewaters is presented in terms of oxygen content in biological oxygen demand (BOD) and chemical oxygen demand (COD) and nutrient status measured with reference to the concentration of phosphorus and nitrogen of the wastewater [<xref ref-type="bibr" rid="scirp.98176-ref7">7</xref>]. In the scenario where water pollution is threatening the world, industries are required to meet stringent standards with the disposal and should resort to the recycling of treated wastewater. Reuse of treated industrial wastewaters is one of the crucial aspects of water sustainability [<xref ref-type="bibr" rid="scirp.98176-ref8">8</xref>].</p><p>Wastewater from pharmaceutical industry arising from various units is categorised as low total dissolved solids (LTDS) and high total dissolved solids (HTDS) based on the concentration of total dissolved solids. While treatment of HTDS requires more attention along with advanced treatment methods, LTDS treatment also needs enough attention since reusable waters are easily achievable from this stream of wastewaters. The present study focuses on treatment of LTDS using a combination of biological treatment followed by membrane process, reverse osmosis.</p></sec><sec id="s2"><title>2. Methodology</title><p>Flow Chart:</p><disp-formula id="scirp.98176-formula2"><graphic  xlink:href="//html.scirp.org/file/4-9403948x2.png"  xlink:type="simple"/></disp-formula><p>Process:</p><p>The effluents generated from different sections like Domestic Canteen, Utility Blowdowns, like Boiler bleed off, cooling tower bleed-off etc., are segregated. All the LTDs effluents are transferred into the LTDS RCC tank with capacity 80 KL. The collected effluents are Equalized by means of operating the air blower and followed by neutralization. The samples of the LTDS sample from the collection tank and after biological treatment on daily basis for the analysis of pH, Total Dissolved Solids (TDS), and Chemical Oxygen Demand (COD) as per the Standard testing procedures [<xref ref-type="bibr" rid="scirp.98176-ref9">9</xref>]. The LTD effluents are pumped into the Sequencing Batch Reactors (SBR) which is filled and Draw activated sludge system having the facility of equalization, aeration, and clarification which can be achieved using single batch reactor. Feed certain quantity (Max 40 KL with 4000 ppm COD) of effluent to the SBR system by keeping the aeration continuously at this time no effluent is allowed to enter or leave the system.</p><p>After completion of these process, Aeration is Turn off for at least 2 hrs to allow the biomass to settle and then remove the clear supernatant from SBR to settling tank. Then the effluents are transferred to lamellar settler for removing of TSS (total suspended solids). Excess biomass may be wasted at any time during the cycle. After treatment, the samples are again collected from SBR Inlet and outlet composites and tested again for pH, TDS, COD, Sludge volume and DO and TSS. The treated effluents are collected into the decant tank and then passed to the lamellar settler. Overflow from the lamellar settler is collected in one collection tank and then sludge at the bottom is feed to Mono-belt for filtration (Nanobelt is a dewatering system). The sludge is removed from the bottom of collection sumps periodically to avoid the unfavourable conditions and blockage of pumps. The treated effluent is transferred for further treatment with sand filter, 10-micron filter followed by Reverse Osmosis (RO) from the collection tank.RO permeate using in Utilities and rejects again recycling into the High- Pressure RO system.</p><p>Wastewater sampling</p><p>Wastewater samples were collected once every in a day with a temporal frequency of morning, afternoon and evening, the composite sample was taken from the three samples. Samples are collected in sterile plastic containers and transferred instantly to the laboratory in the premises of the industry. The analysis was taken up immediately and completed within 48 hours duration (except for biological oxygen demand). Samples were stored at 4˚C for analysis during the following days (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><p>Analysis</p><p>Physico-chemical parameters were analysed as per the per standards methods of APHA (<xref ref-type="table" rid="table1">Table 1</xref>), 2012. All parameters were analysed in triplets to avoid errors.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Analytical techniques adopted in the present study</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >S. No</th><th align="center" valign="middle" >Parameter</th><th align="center" valign="middle" >Method of Analysis</th></tr></thead><tr><td align="center" valign="middle" >1.</td><td align="center" valign="middle" >pH</td><td align="center" valign="middle" >APHA Standard Method 4500</td></tr><tr><td align="center" valign="middle" >2.</td><td align="center" valign="middle" >Total dissolved solids</td><td align="center" valign="middle" >APHA Standard Method 2540C</td></tr><tr><td align="center" valign="middle" >3.</td><td align="center" valign="middle" >Chemical Oxygen demand</td><td align="center" valign="middle" >APHA Standard Method 5220</td></tr></tbody></table></table-wrap></sec><sec id="s3"><title>3. Results</title><p>This research presents the results from the pilot-scale studies focussed on biological treatment using SBR as pre-treatment for RO towards the removal of LTDS effluent. Three-month data on a daily basis is presented. The efficiency of the process was tested with a reduction in parameters like total dissolved solids and chemical oxygen demand. Further, as a surrogate for removal of TDS and COD, sludge volume and dissolved oxygen respectively were also recorded.</p><p>The efficiency of Biological Treatment using SBR</p><p><xref ref-type="table" rid="table2">Table 2</xref> illustrates data of SBR tested for its suitability as a preliminary treatment for the Reverse Osmosis process during the month of August. The highest and lowest TDS reduction was recorded as 9.72% and −4.67% in the month of August (<xref ref-type="table" rid="table2">Table 2</xref>). The highest and least COD reduction was recorded as 87.28% and 80.66% in the same month (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p><p>Sludge Volume and Dissolved Oxygen:</p><p>In line with the poor removal of TDS sludge volume has recorded the lowest values ranging from 190 - 310 ml in the month of August, 210 - 310 ml in the month of September and 210 - 560 ml in the month of October. Dissolved oxygen values ranged between 1.96 to 2.5 mg/l in the month of August, 1.8 to 2.6 mg/l in the month of September and 1.8 to 2.6 in the month of October respectively (Tables 3-5).</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Efficiency of SBR as a pre-treatment for RO (August)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Date</th><th align="center" valign="middle" >% TDS Removal</th><th align="center" valign="middle" >% COD Removal</th><th align="center" valign="middle" >Date</th><th align="center" valign="middle" >% TDS Removal</th><th align="center" valign="middle" >% COD Removal</th></tr></thead><tr><td align="center" valign="middle" >01-08-2019</td><td align="center" valign="middle" >−2.64</td><td align="center" valign="middle" >84.75</td><td align="center" valign="middle" >17-08-2019</td><td align="center" valign="middle" >1.16</td><td align="center" valign="middle" >83.13</td></tr><tr><td align="center" valign="middle" >02-08-2019</td><td align="center" valign="middle" >0.61</td><td align="center" valign="middle" >85.98</td><td align="center" valign="middle" >18-08-2019</td><td align="center" valign="middle" >−2.4</td><td align="center" valign="middle" >83.28</td></tr><tr><td align="center" valign="middle" >03-08-2019</td><td align="center" valign="middle" >−2.96</td><td align="center" valign="middle" >84.77</td><td align="center" valign="middle" >19-08-2019</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >84.89</td></tr><tr><td align="center" valign="middle" >04-08-2019</td><td align="center" valign="middle" >−2.54</td><td align="center" valign="middle" >84.61</td><td align="center" valign="middle" >20-08-2019</td><td align="center" valign="middle" >−1.27</td><td align="center" valign="middle" >80.66</td></tr><tr><td align="center" valign="middle" >05-08-2019</td><td align="center" valign="middle" >−0.69</td><td align="center" valign="middle" >85.15</td><td align="center" valign="middle" >21-08-2019</td><td align="center" valign="middle" >−0.28</td><td align="center" valign="middle" >81.07</td></tr><tr><td align="center" valign="middle" >06-08-2019</td><td align="center" valign="middle" >0.74</td><td align="center" valign="middle" >86.41</td><td align="center" valign="middle" >22-08-2019</td><td align="center" valign="middle" >−2.87</td><td align="center" valign="middle" >85.57</td></tr><tr><td align="center" valign="middle" >07-08-2019</td><td align="center" valign="middle" >−2.83</td><td align="center" valign="middle" >85.66</td><td align="center" valign="middle" >23-08-2019</td><td align="center" valign="middle" >−0.33</td><td align="center" valign="middle" >82.01</td></tr><tr><td align="center" valign="middle" >08-08-2019</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >82.45</td><td align="center" valign="middle" >24-08-2019</td><td align="center" valign="middle" >−1.23</td><td align="center" valign="middle" >83.86</td></tr><tr><td align="center" valign="middle" >09-08-2019</td><td align="center" valign="middle" >−3.03</td><td align="center" valign="middle" >82.32</td><td align="center" valign="middle" >25-08-2019</td><td align="center" valign="middle" >−1.47</td><td align="center" valign="middle" >84.19</td></tr><tr><td align="center" valign="middle" >10-08-2019</td><td align="center" valign="middle" >−0.64</td><td align="center" valign="middle" >85.43</td><td align="center" valign="middle" >26-08-2019</td><td align="center" valign="middle" >0.27</td><td align="center" valign="middle" >81.54</td></tr><tr><td align="center" valign="middle" >11-08-2019</td><td align="center" valign="middle" >−0.84</td><td align="center" valign="middle" >82.84</td><td align="center" valign="middle" >27-08-2019</td><td align="center" valign="middle" >−3.04</td><td align="center" valign="middle" >87.01</td></tr><tr><td align="center" valign="middle" >12-08-2019</td><td align="center" valign="middle" >−2.45</td><td align="center" valign="middle" >80.90</td><td align="center" valign="middle" >28-08-2019</td><td align="center" valign="middle" >0.25</td><td align="center" valign="middle" >86.69</td></tr><tr><td align="center" valign="middle" >13-08-2019</td><td align="center" valign="middle" >−4.67</td><td align="center" valign="middle" >83.05</td><td align="center" valign="middle" >29-08-2019</td><td align="center" valign="middle" >9.72</td><td align="center" valign="middle" >82.13</td></tr><tr><td align="center" valign="middle" >14-08-2019</td><td align="center" valign="middle" >0.81</td><td align="center" valign="middle" >81.03</td><td align="center" valign="middle" >30-08-2019</td><td align="center" valign="middle" >−2.94</td><td align="center" valign="middle" >87.28</td></tr><tr><td align="center" valign="middle" >15-08-2019</td><td align="center" valign="middle" >−0.65</td><td align="center" valign="middle" >84.39</td><td align="center" valign="middle" >31-08-2019</td><td align="center" valign="middle" >−0.59</td><td align="center" valign="middle" >83.91</td></tr><tr><td align="center" valign="middle" >16-08-2019</td><td align="center" valign="middle" >−4.13</td><td align="center" valign="middle" >84.23</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Trends of sludge volume and DO in the month of August</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Date</th><th align="center" valign="middle" >Sludge Volume</th><th align="center" valign="middle" >DO</th><th align="center" valign="middle" >Date</th><th align="center" valign="middle" >Sludge Volume</th><th align="center" valign="middle" >DO</th></tr></thead><tr><td align="center" valign="middle" >01-08-2019</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >2.00</td><td align="center" valign="middle" >17-08-2019</td><td align="center" valign="middle" >260</td><td align="center" valign="middle" >1.98</td></tr><tr><td align="center" valign="middle" >02-08-2019</td><td align="center" valign="middle" >240</td><td align="center" valign="middle" >2.10</td><td align="center" valign="middle" >18-08-2019</td><td align="center" valign="middle" >250</td><td align="center" valign="middle" >2.00</td></tr><tr><td align="center" valign="middle" >03-08-2019</td><td align="center" valign="middle" >230</td><td align="center" valign="middle" >2.10</td><td align="center" valign="middle" >19-08-2019</td><td align="center" valign="middle" >280</td><td align="center" valign="middle" >1.98</td></tr><tr><td align="center" valign="middle" >04-08-2019</td><td align="center" valign="middle" >250</td><td align="center" valign="middle" >2.40</td><td align="center" valign="middle" >20-08-2019</td><td align="center" valign="middle" >310</td><td align="center" valign="middle" >2.00</td></tr><tr><td align="center" valign="middle" >05-08-2019</td><td align="center" valign="middle" >200</td><td align="center" valign="middle" >2.10</td><td align="center" valign="middle" >21-08-2019</td><td align="center" valign="middle" >200</td><td align="center" valign="middle" >2.10</td></tr><tr><td align="center" valign="middle" >06-08-2019</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >2.00</td><td align="center" valign="middle" >22-08-2019</td><td align="center" valign="middle" >230</td><td align="center" valign="middle" >1.98</td></tr><tr><td align="center" valign="middle" >07-08-2019</td><td align="center" valign="middle" >260</td><td align="center" valign="middle" >2.50</td><td align="center" valign="middle" >23-08-2019</td><td align="center" valign="middle" >240</td><td align="center" valign="middle" >2.00</td></tr><tr><td align="center" valign="middle" >08-08-2019</td><td align="center" valign="middle" >245</td><td align="center" valign="middle" >2.20</td><td align="center" valign="middle" >24-08-2019</td><td align="center" valign="middle" >250</td><td align="center" valign="middle" >1.98</td></tr><tr><td align="center" valign="middle" >09-08-2019</td><td align="center" valign="middle" >320</td><td align="center" valign="middle" >2.00</td><td align="center" valign="middle" >25-08-2019</td><td align="center" valign="middle" >250</td><td align="center" valign="middle" >1.96</td></tr><tr><td align="center" valign="middle" >10-08-2019</td><td align="center" valign="middle" >230</td><td align="center" valign="middle" >1.90</td><td align="center" valign="middle" >26-08-2019</td><td align="center" valign="middle" >240</td><td align="center" valign="middle" >2.30</td></tr><tr><td align="center" valign="middle" >11-08-2019</td><td align="center" valign="middle" >270</td><td align="center" valign="middle" >2.00</td><td align="center" valign="middle" >27-08-2019</td><td align="center" valign="middle" >230</td><td align="center" valign="middle" >2.00</td></tr><tr><td align="center" valign="middle" >12-08-2019</td><td align="center" valign="middle" >250</td><td align="center" valign="middle" >2.00</td><td align="center" valign="middle" >28-08-2019</td><td align="center" valign="middle" >230</td><td align="center" valign="middle" >2.80</td></tr><tr><td align="center" valign="middle" >13-08-2019</td><td align="center" valign="middle" >280</td><td align="center" valign="middle" >1.98</td><td align="center" valign="middle" >29-08-2019</td><td align="center" valign="middle" >190</td><td align="center" valign="middle" >2.1</td></tr><tr><td align="center" valign="middle" >14-08-2019</td><td align="center" valign="middle" >270</td><td align="center" valign="middle" >1.97</td><td align="center" valign="middle" >30-08-2019</td><td align="center" valign="middle" >260</td><td align="center" valign="middle" >2.00</td></tr><tr><td align="center" valign="middle" >15-08-2019</td><td align="center" valign="middle" >250</td><td align="center" valign="middle" >2.40</td><td align="center" valign="middle" >31-08-2019</td><td align="center" valign="middle" >240</td><td align="center" valign="middle" >2.1</td></tr><tr><td align="center" valign="middle" >16-08-2019</td><td align="center" valign="middle" >230</td><td align="center" valign="middle" >1.99</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></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> Trends of sludge volume and DO in the month of September</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Date</th><th align="center" valign="middle" >Sludge Volume</th><th align="center" valign="middle" >DO</th><th align="center" valign="middle" >Date</th><th align="center" valign="middle" >Sludge Volume</th><th align="center" valign="middle" >DO</th></tr></thead><tr><td align="center" valign="middle" >01-09-2019</td><td align="center" valign="middle" >250</td><td align="center" valign="middle" >1.90</td><td align="center" valign="middle" >16-09-2019</td><td align="center" valign="middle" >240</td><td align="center" valign="middle" >2.10</td></tr><tr><td align="center" valign="middle" >02-09-2019</td><td align="center" valign="middle" >230</td><td align="center" valign="middle" >2.00</td><td align="center" valign="middle" >17-09-2019</td><td align="center" valign="middle" >280</td><td align="center" valign="middle" >2.30</td></tr><tr><td align="center" valign="middle" >03-09-2019</td><td align="center" valign="middle" >260</td><td align="center" valign="middle" >2.10</td><td align="center" valign="middle" >18-09-2019</td><td align="center" valign="middle" >300</td><td align="center" valign="middle" >2.20</td></tr><tr><td align="center" valign="middle" >04-09-2019</td><td align="center" valign="middle" >280</td><td align="center" valign="middle" >2.40</td><td align="center" valign="middle" >19-09-2019</td><td align="center" valign="middle" >310</td><td align="center" valign="middle" >2.50</td></tr><tr><td align="center" valign="middle" >05-09-2019</td><td align="center" valign="middle" >300</td><td align="center" valign="middle" >2.10</td><td align="center" valign="middle" >20-09-2019</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >2.40</td></tr><tr><td align="center" valign="middle" >06-09-2019</td><td align="center" valign="middle" >310</td><td align="center" valign="middle" >2.00</td><td align="center" valign="middle" >21-09-2019</td><td align="center" valign="middle" >240</td><td align="center" valign="middle" >2.10</td></tr><tr><td align="center" valign="middle" >07-09-2019</td><td align="center" valign="middle" >300</td><td align="center" valign="middle" >2.50</td><td align="center" valign="middle" >22-09-2019</td><td align="center" valign="middle" >230</td><td align="center" valign="middle" >2.30</td></tr><tr><td align="center" valign="middle" >08-09-2019</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >2,0</td><td align="center" valign="middle" >23-09-2019</td><td align="center" valign="middle" >240</td><td align="center" valign="middle" >1.80</td></tr><tr><td align="center" valign="middle" >09-09-2019</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >2.40</td><td align="center" valign="middle" >24-09-2019</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >2.10</td></tr><tr><td align="center" valign="middle" >10-09-2019</td><td align="center" valign="middle" >240</td><td align="center" valign="middle" >2.20</td><td align="center" valign="middle" >25-09-2019</td><td align="center" valign="middle" >230</td><td align="center" valign="middle" >2.20</td></tr><tr><td align="center" valign="middle" >11-09-2019</td><td align="center" valign="middle" >210</td><td align="center" valign="middle" >2.00</td><td align="center" valign="middle" >26-09-2019</td><td align="center" valign="middle" >250</td><td align="center" valign="middle" >1.95</td></tr><tr><td align="center" valign="middle" >12-09-2019</td><td align="center" valign="middle" >230</td><td align="center" valign="middle" >2.00</td><td align="center" valign="middle" >27-09-2019</td><td align="center" valign="middle" >240</td><td align="center" valign="middle" >2.00</td></tr><tr><td align="center" valign="middle" >13-09-2019</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >1.98</td><td align="center" valign="middle" >28-09-2019</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >2.60</td></tr><tr><td align="center" valign="middle" >14-09-2019</td><td align="center" valign="middle" >240</td><td align="center" valign="middle" >1.85</td><td align="center" valign="middle" >29-09-2019</td><td align="center" valign="middle" >230</td><td align="center" valign="middle" >2.50</td></tr><tr><td align="center" valign="middle" >15-09-2019</td><td align="center" valign="middle" >250</td><td align="center" valign="middle" >2.00</td><td align="center" valign="middle" >30-09-2019</td><td align="center" valign="middle" >250</td><td align="center" valign="middle" >2.30</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Trends of sludge volume and DO in the month of October</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Date</th><th align="center" valign="middle" >Sludge Volume</th><th align="center" valign="middle" >DO</th><th align="center" valign="middle" >Date</th><th align="center" valign="middle" >Sludge Volume</th><th align="center" valign="middle" >DO</th></tr></thead><tr><td align="center" valign="middle" >01-10-2019</td><td align="center" valign="middle" >210</td><td align="center" valign="middle" >1.90</td><td align="center" valign="middle" >17-10-2019</td><td align="center" valign="middle" >300</td><td align="center" valign="middle" >2.30</td></tr><tr><td align="center" valign="middle" >02-10-2019</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >2.00</td><td align="center" valign="middle" >18-10-2019</td><td align="center" valign="middle" >225</td><td align="center" valign="middle" >2.20</td></tr><tr><td align="center" valign="middle" >03-10-2019</td><td align="center" valign="middle" >215</td><td align="center" valign="middle" >2.10</td><td align="center" valign="middle" >19-10-2019</td><td align="center" valign="middle" >240</td><td align="center" valign="middle" >2.50</td></tr><tr><td align="center" valign="middle" >04-10-2019</td><td align="center" valign="middle" >230</td><td align="center" valign="middle" >2.40</td><td align="center" valign="middle" >20-10-2019</td><td align="center" valign="middle" >235</td><td align="center" valign="middle" >2.40</td></tr><tr><td align="center" valign="middle" >05-10-2019</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >2.10</td><td align="center" valign="middle" >21-10-2019</td><td align="center" valign="middle" >250</td><td align="center" valign="middle" >2.10</td></tr><tr><td align="center" valign="middle" >06-10-2019</td><td align="center" valign="middle" >250</td><td align="center" valign="middle" >2.00</td><td align="center" valign="middle" >22-10-2019</td><td align="center" valign="middle" >245</td><td align="center" valign="middle" >2.30</td></tr><tr><td align="center" valign="middle" >07-10-2019</td><td align="center" valign="middle" >240</td><td align="center" valign="middle" >2.50</td><td align="center" valign="middle" >23-10-2019</td><td align="center" valign="middle" >260</td><td align="center" valign="middle" >1.80</td></tr><tr><td align="center" valign="middle" >08-10-2019</td><td align="center" valign="middle" >240</td><td align="center" valign="middle" >2,0</td><td align="center" valign="middle" >24-10-2019</td><td align="center" valign="middle" >240</td><td align="center" valign="middle" >2.10</td></tr><tr><td align="center" valign="middle" >09-10-2019</td><td align="center" valign="middle" >250</td><td align="center" valign="middle" >2.40</td><td align="center" valign="middle" >25-10-2019</td><td align="center" valign="middle" >240</td><td align="center" valign="middle" >2.20</td></tr><tr><td align="center" valign="middle" >10-10-2019</td><td align="center" valign="middle" >270</td><td align="center" valign="middle" >2.20</td><td align="center" valign="middle" >26-10-2019</td><td align="center" valign="middle" >250</td><td align="center" valign="middle" >1.95</td></tr><tr><td align="center" valign="middle" >11-10-2019</td><td align="center" valign="middle" >560</td><td align="center" valign="middle" >2.00</td><td align="center" valign="middle" >27-10-2019</td><td align="center" valign="middle" >260</td><td align="center" valign="middle" >2.00</td></tr><tr><td align="center" valign="middle" >12-10-2019</td><td align="center" valign="middle" >265</td><td align="center" valign="middle" >2.00</td><td align="center" valign="middle" >28-10-2019</td><td align="center" valign="middle" >240</td><td align="center" valign="middle" >2.60</td></tr><tr><td align="center" valign="middle" >13-10-2019</td><td align="center" valign="middle" >270</td><td align="center" valign="middle" >1.98</td><td align="center" valign="middle" >29-10-2019</td><td align="center" valign="middle" >250</td><td align="center" valign="middle" >2.50</td></tr><tr><td align="center" valign="middle" >14-10-2019</td><td align="center" valign="middle" >260</td><td align="center" valign="middle" >1.85</td><td align="center" valign="middle" >30-10-2019</td><td align="center" valign="middle" >245</td><td align="center" valign="middle" >2.30</td></tr><tr><td align="center" valign="middle" >15-10-2019</td><td align="center" valign="middle" >270</td><td align="center" valign="middle" >2.00</td><td align="center" valign="middle" >31-10-2019</td><td align="center" valign="middle" >250</td><td align="center" valign="middle" >2.40</td></tr><tr><td align="center" valign="middle" >16-10-2019</td><td align="center" valign="middle" >280</td><td align="center" valign="middle" >2.10</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p><xref ref-type="table" rid="table6">Table 6</xref> illustrates the performance of SBR tested for its suitability as a preliminary treatment for the Reverse Osmosis process during the month of September. The highest and lowest TDS reduction was recorded as 0.84% and −7.92% in the month of September. The highest and least COD reduction was recorded as 87.07% and 83.28% in the same month (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p><p><xref ref-type="table" rid="table7">Table 7</xref> illustrates the performance of SBR tested for its suitability as a preliminary treatment for the Reverse Osmosis process during the month of October. The highest and lowest TDS reduction was recorded as 0.84% and −7.92% in the month of October. The highest and least COD reduction was recorded as 87.07% and 83.28% in the same month (<xref ref-type="fig" rid="fig4">Figure 4</xref>).</p><p>The efficiency of Reverse Osmosis after biological Treatment using SBR</p><p><xref ref-type="table" rid="table8">Table 8</xref> illustrates the performance of RO tested for its efficiency in removing the TDS and COD after SBR as pre-treatment. The highest and lowest TDS reduction was recorded as 94.93% and 93.27% in the month of August (<xref ref-type="table" rid="table8">Table 8</xref>). The highest and least COD reduction was recorded as 96.84% and 90.19% in the same month (<xref ref-type="fig" rid="fig5">Figure 5</xref>).</p><p><xref ref-type="table" rid="table9">Table 9</xref> illustrates the performance of RO tested for its efficiency in removing the TDS and COD after SBR as pre-treatment. The highest and lowest TDS reduction was recorded as 94.93% and 93.27% in the month of September (<xref ref-type="table" rid="table9">Table 9</xref>). The highest and least COD reduction was recorded as 96.84% and 90.19% in the same month (<xref ref-type="fig" rid="fig6">Figure 6</xref>).</p><p><xref ref-type="table" rid="table1">Table 1</xref>0 illustrates the performance of RO tested for its efficiency in removing the TDS and COD after SBR as pre-treatment. The highest and lowest TDS</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Efficiency of SBR as a pre-treatment for RO (September)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Date</th><th align="center" valign="middle" >% TDS Removal</th><th align="center" valign="middle" >% COD Removal</th><th align="center" valign="middle" >Date</th><th align="center" valign="middle" >% TDS Removal</th><th align="center" valign="middle" >% COD Removal</th></tr></thead><tr><td align="center" valign="middle" >01-09-2019</td><td align="center" valign="middle" >−0.26</td><td align="center" valign="middle" >84.08</td><td align="center" valign="middle" >16-09-2019</td><td align="center" valign="middle" >−0.91</td><td align="center" valign="middle" >86.64</td></tr><tr><td align="center" valign="middle" >02-09-2019</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >84.72</td><td align="center" valign="middle" >17-09-2019</td><td align="center" valign="middle" >−0.27</td><td align="center" valign="middle" >87.07</td></tr><tr><td align="center" valign="middle" >03-09-2019</td><td align="center" valign="middle" >−0.96</td><td align="center" valign="middle" >83.28</td><td align="center" valign="middle" >18-09-2019</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >84.49</td></tr><tr><td align="center" valign="middle" >04-09-2019</td><td align="center" valign="middle" >−0.95</td><td align="center" valign="middle" >83.90</td><td align="center" valign="middle" >19-09-2019</td><td align="center" valign="middle" >0.84</td><td align="center" valign="middle" >83.92</td></tr><tr><td align="center" valign="middle" >05-09-2019</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >83.93</td><td align="center" valign="middle" >20-09-2019</td><td align="center" valign="middle" >−2.42</td><td align="center" valign="middle" >85.09</td></tr><tr><td align="center" valign="middle" >06-09-2019</td><td align="center" valign="middle" >0.53</td><td align="center" valign="middle" >85.97</td><td align="center" valign="middle" >21-09-2019</td><td align="center" valign="middle" >−0.88</td><td align="center" valign="middle" >85.10</td></tr><tr><td align="center" valign="middle" >07-09-2019</td><td align="center" valign="middle" >−2.12</td><td align="center" valign="middle" >84.92</td><td align="center" valign="middle" >22-09-2019</td><td align="center" valign="middle" >−1.19</td><td align="center" valign="middle" >85.5</td></tr><tr><td align="center" valign="middle" >08-09-2019</td><td align="center" valign="middle" >−0.49</td><td align="center" valign="middle" >84.51</td><td align="center" valign="middle" >23-09-2019</td><td align="center" valign="middle" >−1.64</td><td align="center" valign="middle" >85.58</td></tr><tr><td align="center" valign="middle" >09-09-2019</td><td align="center" valign="middle" >−1.15</td><td align="center" valign="middle" >84.76</td><td align="center" valign="middle" >24-09-2019</td><td align="center" valign="middle" >−2.94</td><td align="center" valign="middle" >84.28</td></tr><tr><td align="center" valign="middle" >10-09-2019</td><td align="center" valign="middle" >−1.60</td><td align="center" valign="middle" >84.04</td><td align="center" valign="middle" >25-09-2019</td><td align="center" valign="middle" >−1.26</td><td align="center" valign="middle" >84.79</td></tr><tr><td align="center" valign="middle" >11-09-2019</td><td align="center" valign="middle" >0.67</td><td align="center" valign="middle" >85.64</td><td align="center" valign="middle" >26-09-2019</td><td align="center" valign="middle" >1.36</td><td align="center" valign="middle" >84.55</td></tr><tr><td align="center" valign="middle" >12-09-2019</td><td align="center" valign="middle" >−0.28</td><td align="center" valign="middle" >84.84</td><td align="center" valign="middle" >27-09-2019</td><td align="center" valign="middle" >−1.22</td><td align="center" valign="middle" >84.52</td></tr><tr><td align="center" valign="middle" >13-09-2019</td><td align="center" valign="middle" >−0.77</td><td align="center" valign="middle" >85.62</td><td align="center" valign="middle" >28-09-2019</td><td align="center" valign="middle" >−1.26</td><td align="center" valign="middle" >84.45</td></tr><tr><td align="center" valign="middle" >14-09-2019</td><td align="center" valign="middle" >−0.96</td><td align="center" valign="middle" >84.74</td><td align="center" valign="middle" >29-09-2019</td><td align="center" valign="middle" >−7.91</td><td align="center" valign="middle" >84.69</td></tr><tr><td align="center" valign="middle" >15-09-2019</td><td align="center" valign="middle" >−1.65</td><td align="center" valign="middle" >84.65</td><td align="center" valign="middle" >30-09-2019</td><td align="center" valign="middle" >0.82</td><td align="center" valign="middle" >84.77</td></tr></tbody></table></table-wrap><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Efficiency of SBR as a pre-treatment for RO (October)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Date</th><th align="center" valign="middle" >% TDS Removal</th><th align="center" valign="middle" >% COD Removal</th><th align="center" valign="middle" >Date</th><th align="center" valign="middle" >% TDS Removal</th><th align="center" valign="middle" >% COD Removal</th></tr></thead><tr><td align="center" valign="middle" >01-10-2019</td><td align="center" valign="middle" >7.31</td><td align="center" valign="middle" >79.40</td><td align="center" valign="middle" >17-10-2019</td><td align="center" valign="middle" >4.16</td><td align="center" valign="middle" >78.90</td></tr><tr><td align="center" valign="middle" >02-10-2019</td><td align="center" valign="middle" >10.06</td><td align="center" valign="middle" >83.19</td><td align="center" valign="middle" >18-10-2019</td><td align="center" valign="middle" >14.53</td><td align="center" valign="middle" >81</td></tr><tr><td align="center" valign="middle" >03-10-2019</td><td align="center" valign="middle" >11.11</td><td align="center" valign="middle" >85.17</td><td align="center" valign="middle" >19-10-2019</td><td align="center" valign="middle" >12.80</td><td align="center" valign="middle" >81.46</td></tr><tr><td align="center" valign="middle" >04-10-2019</td><td align="center" valign="middle" >6.90</td><td align="center" valign="middle" >82.17</td><td align="center" valign="middle" >20-10-2019</td><td align="center" valign="middle" >9.52</td><td align="center" valign="middle" >88.29</td></tr><tr><td align="center" valign="middle" >05-10-2019</td><td align="center" valign="middle" >4.10</td><td align="center" valign="middle" >82.43</td><td align="center" valign="middle" >21-10-2019</td><td align="center" valign="middle" >6.50</td><td align="center" valign="middle" >77.24</td></tr><tr><td align="center" valign="middle" >06-10-2019</td><td align="center" valign="middle" >5.53</td><td align="center" valign="middle" >83.89</td><td align="center" valign="middle" >22-10-2019</td><td align="center" valign="middle" >24.65</td><td align="center" valign="middle" >73.73</td></tr><tr><td align="center" valign="middle" >07-10-2019</td><td align="center" valign="middle" >6.97</td><td align="center" valign="middle" >89.58</td><td align="center" valign="middle" >23-10-2019</td><td align="center" valign="middle" >8.28</td><td align="center" valign="middle" >84.66</td></tr><tr><td align="center" valign="middle" >08-10-2019</td><td align="center" valign="middle" >9.90</td><td align="center" valign="middle" >89.35</td><td align="center" valign="middle" >24-10-2019</td><td align="center" valign="middle" >11.76</td><td align="center" valign="middle" >87.07</td></tr><tr><td align="center" valign="middle" >09-10-2019</td><td align="center" valign="middle" >3.15</td><td align="center" valign="middle" >74.62</td><td align="center" valign="middle" >25-10-2019</td><td align="center" valign="middle" >11.94</td><td align="center" valign="middle" >80.4</td></tr><tr><td align="center" valign="middle" >10-10-2019</td><td align="center" valign="middle" >18.91</td><td align="center" valign="middle" >70.27</td><td align="center" valign="middle" >26-10-2019</td><td align="center" valign="middle" >21.21</td><td align="center" valign="middle" >85.39</td></tr><tr><td align="center" valign="middle" >11-10-2019</td><td align="center" valign="middle" >9.37</td><td align="center" valign="middle" >86.44</td><td align="center" valign="middle" >27-10-2019</td><td align="center" valign="middle" >10.11</td><td align="center" valign="middle" >76.25</td></tr><tr><td align="center" valign="middle" >12-10-2019</td><td align="center" valign="middle" >6.85</td><td align="center" valign="middle" >82.65</td><td align="center" valign="middle" >28-10-2019</td><td align="center" valign="middle" >9.09</td><td align="center" valign="middle" >81.32</td></tr><tr><td align="center" valign="middle" >13-10-2019</td><td align="center" valign="middle" >7.16</td><td align="center" valign="middle" >85.75</td><td align="center" valign="middle" >29-10-2019</td><td align="center" valign="middle" >12.72</td><td align="center" valign="middle" >84.95</td></tr><tr><td align="center" valign="middle" >14-10-2019</td><td align="center" valign="middle" >6.017</td><td align="center" valign="middle" >76.57</td><td align="center" valign="middle" >30-10-2019</td><td align="center" valign="middle" >16.66</td><td align="center" valign="middle" >80.42</td></tr><tr><td align="center" valign="middle" >15-10-2019</td><td align="center" valign="middle" >13.01</td><td align="center" valign="middle" >80.67</td><td align="center" valign="middle" >31-10-2019</td><td align="center" valign="middle" >11.56</td><td align="center" valign="middle" >82.02</td></tr></tbody></table></table-wrap><table-wrap id="table8" ><label><xref ref-type="table" rid="table8">Table 8</xref></label><caption><title> Efficiency of RO presented in terms of percentage removal (August)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Date</th><th align="center" valign="middle" >TDS</th><th align="center" valign="middle" >COD</th><th align="center" valign="middle" >Date</th><th align="center" valign="middle" >TDS</th><th align="center" valign="middle" >COD</th></tr></thead><tr><td align="center" valign="middle" >01-08-2019</td><td align="center" valign="middle" >94.19</td><td align="center" valign="middle" >92.06</td><td align="center" valign="middle" >17-08-2019</td><td align="center" valign="middle" >94.48</td><td align="center" valign="middle" >94.82</td></tr><tr><td align="center" valign="middle" >02-08-2019</td><td align="center" valign="middle" >93.82</td><td align="center" valign="middle" >91.81</td><td align="center" valign="middle" >18-08-2019</td><td align="center" valign="middle" >93.90</td><td align="center" valign="middle" >95.48</td></tr><tr><td align="center" valign="middle" >03-08-2019</td><td align="center" valign="middle" >94.60</td><td align="center" valign="middle" >90.19</td><td align="center" valign="middle" >19-08-2019</td><td align="center" valign="middle" >94.07</td><td align="center" valign="middle" >93.80</td></tr><tr><td align="center" valign="middle" >04-08-2019</td><td align="center" valign="middle" >94.84</td><td align="center" valign="middle" >91.81</td><td align="center" valign="middle" >20-08-2019</td><td align="center" valign="middle" >94.56</td><td align="center" valign="middle" >95.42</td></tr><tr><td align="center" valign="middle" >05-08-2019</td><td align="center" valign="middle" >93.86</td><td align="center" valign="middle" >93.15</td><td align="center" valign="middle" >21-08-2019</td><td align="center" valign="middle" >94.94</td><td align="center" valign="middle" >93.33</td></tr><tr><td align="center" valign="middle" >06-08-2019</td><td align="center" valign="middle" >94.77</td><td align="center" valign="middle" >96.22</td><td align="center" valign="middle" >22-08-2019</td><td align="center" valign="middle" >93.47</td><td align="center" valign="middle" >95.17</td></tr><tr><td align="center" valign="middle" >07-08-2019</td><td align="center" valign="middle" >94.49</td><td align="center" valign="middle" >95.45</td><td align="center" valign="middle" >23-08-2019</td><td align="center" valign="middle" >94.94</td><td align="center" valign="middle" >91.6</td></tr><tr><td align="center" valign="middle" >08-08-2019</td><td align="center" valign="middle" >94.59</td><td align="center" valign="middle" >92.90</td><td align="center" valign="middle" >24-08-2019</td><td align="center" valign="middle" >94.62</td><td align="center" valign="middle" >93.57</td></tr><tr><td align="center" valign="middle" >09-08-2019</td><td align="center" valign="middle" >93.82</td><td align="center" valign="middle" >93.63</td><td align="center" valign="middle" >25-08-2019</td><td align="center" valign="middle" >93.99</td><td align="center" valign="middle" >94.84</td></tr><tr><td align="center" valign="middle" >10-08-2019</td><td align="center" valign="middle" >94.93</td><td align="center" valign="middle" >93.84</td><td align="center" valign="middle" >26-08-2019</td><td align="center" valign="middle" >94.59</td><td align="center" valign="middle" >92.90</td></tr><tr><td align="center" valign="middle" >11-08-2019</td><td align="center" valign="middle" >93.27</td><td align="center" valign="middle" >95.51</td><td align="center" valign="middle" >27-08-2019</td><td align="center" valign="middle" >94.49</td><td align="center" valign="middle" >91.6</td></tr><tr><td align="center" valign="middle" >12-08-2019</td><td align="center" valign="middle" >94.61</td><td align="center" valign="middle" >96.84</td><td align="center" valign="middle" >28-08-2019</td><td align="center" valign="middle" >94.60</td><td align="center" valign="middle" >94.29</td></tr><tr><td align="center" valign="middle" >13-08-2019</td><td align="center" valign="middle" >94.13</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >29-08-2019</td><td align="center" valign="middle" >94.67</td><td align="center" valign="middle" >95</td></tr><tr><td align="center" valign="middle" >14-08-2019</td><td align="center" valign="middle" >94.261</td><td align="center" valign="middle" >95.41</td><td align="center" valign="middle" >30-08-2019</td><td align="center" valign="middle" >94.60</td><td align="center" valign="middle" >94.75</td></tr><tr><td align="center" valign="middle" >15-08-2019</td><td align="center" valign="middle" >94.84</td><td align="center" valign="middle" >91.81</td><td align="center" valign="middle" >31-08-2019</td><td align="center" valign="middle" >93.86</td><td align="center" valign="middle" >95.17</td></tr><tr><td align="center" valign="middle" >16-08-2019</td><td align="center" valign="middle" >94.63</td><td align="center" valign="middle" >95</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><table-wrap id="table9" ><label><xref ref-type="table" rid="table9">Table 9</xref></label><caption><title> Efficiency of RO presented in terms of percentage removal (September)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Date</th><th align="center" valign="middle" >TDS</th><th align="center" valign="middle" >COD</th><th align="center" valign="middle" >Date</th><th align="center" valign="middle" >TDS</th><th align="center" valign="middle" >COD</th></tr></thead><tr><td align="center" valign="middle" >01-09-2019</td><td align="center" valign="middle" >95.51</td><td align="center" valign="middle" >94.42</td><td align="center" valign="middle" >16-09-2019</td><td align="center" valign="middle" >94.90</td><td align="center" valign="middle" >93.85</td></tr><tr><td align="center" valign="middle" >02-09-2019</td><td align="center" valign="middle" >94.89</td><td align="center" valign="middle" >95.80</td><td align="center" valign="middle" >17-09-2019</td><td align="center" valign="middle" >95.31</td><td align="center" valign="middle" >94.37</td></tr><tr><td align="center" valign="middle" >03-09-2019</td><td align="center" valign="middle" >94.92</td><td align="center" valign="middle" >93.57</td><td align="center" valign="middle" >18-09-2019</td><td align="center" valign="middle" >94.92</td><td align="center" valign="middle" >93.11</td></tr><tr><td align="center" valign="middle" >04-09-2019</td><td align="center" valign="middle" >95.04</td><td align="center" valign="middle" >93.11</td><td align="center" valign="middle" >19-09-2019</td><td align="center" valign="middle" >94.87</td><td align="center" valign="middle" >94.09</td></tr><tr><td align="center" valign="middle" >05-09-2019</td><td align="center" valign="middle" >94.85</td><td align="center" valign="middle" >93.54</td><td align="center" valign="middle" >20-09-2019</td><td align="center" valign="middle" >94.67</td><td align="center" valign="middle" >94.85</td></tr><tr><td align="center" valign="middle" >06-09-2019</td><td align="center" valign="middle" >94.86</td><td align="center" valign="middle" >93.20</td><td align="center" valign="middle" >21-09-2019</td><td align="center" valign="middle" >95.17</td><td align="center" valign="middle" >93.64</td></tr><tr><td align="center" valign="middle" >07-09-2019</td><td align="center" valign="middle" >94.58</td><td align="center" valign="middle" >95.87</td><td align="center" valign="middle" >22-09-2019</td><td align="center" valign="middle" >95.45</td><td align="center" valign="middle" >94.36</td></tr><tr><td align="center" valign="middle" >08-09-2019</td><td align="center" valign="middle" >94.58</td><td align="center" valign="middle" >94.12</td><td align="center" valign="middle" >23-09-2019</td><td align="center" valign="middle" >95.13</td><td align="center" valign="middle" >94.31</td></tr><tr><td align="center" valign="middle" >09-09-2019</td><td align="center" valign="middle" >94.58</td><td align="center" valign="middle" >95.62</td><td align="center" valign="middle" >24-09-2019</td><td align="center" valign="middle" >94.64</td><td align="center" valign="middle" >94.65</td></tr><tr><td align="center" valign="middle" >10-09-2019</td><td align="center" valign="middle" >94.47</td><td align="center" valign="middle" >93.92</td><td align="center" valign="middle" >25-09-2019</td><td align="center" valign="middle" >94.37</td><td align="center" valign="middle" >93.94</td></tr><tr><td align="center" valign="middle" >11-09-2019</td><td align="center" valign="middle" >95.60</td><td align="center" valign="middle" >93.94</td><td align="center" valign="middle" >26-09-2019</td><td align="center" valign="middle" >94.44</td><td align="center" valign="middle" >95.46</td></tr><tr><td align="center" valign="middle" >12-09-2019</td><td align="center" valign="middle" >94.79</td><td align="center" valign="middle" >92.91</td><td align="center" valign="middle" >27-09-2019</td><td align="center" valign="middle" >94.54</td><td align="center" valign="middle" >96.00</td></tr><tr><td align="center" valign="middle" >13-09-2019</td><td align="center" valign="middle" >94.96</td><td align="center" valign="middle" >95.45</td><td align="center" valign="middle" >28-09-2019</td><td align="center" valign="middle" >93.75</td><td align="center" valign="middle" >95.56</td></tr><tr><td align="center" valign="middle" >14-09-2019</td><td align="center" valign="middle" >95.16</td><td align="center" valign="middle" >94.72</td><td align="center" valign="middle" >29-09-2019</td><td align="center" valign="middle" >95.46</td><td align="center" valign="middle" >94.66</td></tr><tr><td align="center" valign="middle" >15-09-2019</td><td align="center" valign="middle" >94.89</td><td align="center" valign="middle" >93.12</td><td align="center" valign="middle" >30-09-2019</td><td align="center" valign="middle" >95.83</td><td align="center" valign="middle" >92.93</td></tr></tbody></table></table-wrap><table-wrap id="table10" ><label><xref ref-type="table" rid="table1">Table 1</xref>0</label><caption><title> Efficiency of RO presented in terms of percentage removal (October)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Date</th><th align="center" valign="middle" >TDS</th><th align="center" valign="middle" >COD</th><th align="center" valign="middle" >Date</th><th align="center" valign="middle" >TDS</th><th align="center" valign="middle" >COD</th></tr></thead><tr><td align="center" valign="middle" >01-10-2019</td><td align="center" valign="middle" >94.40</td><td align="center" valign="middle" >87.5</td><td align="center" valign="middle" >17-10-2019</td><td align="center" valign="middle" >92.52</td><td align="center" valign="middle" >82.16</td></tr><tr><td align="center" valign="middle" >02-10-2019</td><td align="center" valign="middle" >94.40</td><td align="center" valign="middle" >87.36</td><td align="center" valign="middle" >18-10-2019</td><td align="center" valign="middle" >95.54</td><td align="center" valign="middle" >93.42</td></tr><tr><td align="center" valign="middle" >03-10-2019</td><td align="center" valign="middle" >93.93</td><td align="center" valign="middle" >83.25</td><td align="center" valign="middle" >19-10-2019</td><td align="center" valign="middle" >95.86</td><td align="center" valign="middle" >86.76</td></tr><tr><td align="center" valign="middle" >04-10-2019</td><td align="center" valign="middle" >93.22</td><td align="center" valign="middle" >87.77</td><td align="center" valign="middle" >20-10-2019</td><td align="center" valign="middle" >93.50</td><td align="center" valign="middle" >88.10</td></tr><tr><td align="center" valign="middle" >05-10-2019</td><td align="center" valign="middle" >95.53</td><td align="center" valign="middle" >89.84</td><td align="center" valign="middle" >21-10-2019</td><td align="center" valign="middle" >95.21</td><td align="center" valign="middle" >93.03</td></tr><tr><td align="center" valign="middle" >06-10-2019</td><td align="center" valign="middle" >94.33</td><td align="center" valign="middle" >91.22</td><td align="center" valign="middle" >22-10-2019</td><td align="center" valign="middle" >94.90</td><td align="center" valign="middle" >88.86</td></tr><tr><td align="center" valign="middle" >07-10-2019</td><td align="center" valign="middle" >94.03</td><td align="center" valign="middle" >72.57</td><td align="center" valign="middle" >23-10-2019</td><td align="center" valign="middle" >94.19</td><td align="center" valign="middle" >90.8</td></tr><tr><td align="center" valign="middle" >08-10-2019</td><td align="center" valign="middle" >93.88</td><td align="center" valign="middle" >78.04</td><td align="center" valign="middle" >24-10-2019</td><td align="center" valign="middle" >93.24</td><td align="center" valign="middle" >84.34</td></tr><tr><td align="center" valign="middle" >09-10-2019</td><td align="center" valign="middle" >93.26</td><td align="center" valign="middle" >90.14</td><td align="center" valign="middle" >25-10-2019</td><td align="center" valign="middle" >93.57</td><td align="center" valign="middle" >84.48</td></tr><tr><td align="center" valign="middle" >10-10-2019</td><td align="center" valign="middle" >91.25</td><td align="center" valign="middle" >94.31</td><td align="center" valign="middle" >26-10-2019</td><td align="center" valign="middle" >93.84</td><td align="center" valign="middle" >83.78</td></tr><tr><td align="center" valign="middle" >11-10-2019</td><td align="center" valign="middle" >93.79</td><td align="center" valign="middle" >91.26</td><td align="center" valign="middle" >27-10-2019</td><td align="center" valign="middle" >93.43</td><td align="center" valign="middle" >90</td></tr><tr><td align="center" valign="middle" >12-10-2019</td><td align="center" valign="middle" >93.91</td><td align="center" valign="middle" >89.70</td><td align="center" valign="middle" >28-10-2019</td><td align="center" valign="middle" >92.85</td><td align="center" valign="middle" >89.84</td></tr><tr><td align="center" valign="middle" >13-10-2019</td><td align="center" valign="middle" >94.25</td><td align="center" valign="middle" >82.12</td><td align="center" valign="middle" >29-10-2019</td><td align="center" valign="middle" >95.27</td><td align="center" valign="middle" >72.97</td></tr><tr><td align="center" valign="middle" >14-10-2019</td><td align="center" valign="middle" >93.84</td><td align="center" valign="middle" >83.84</td><td align="center" valign="middle" >30-10-2019</td><td align="center" valign="middle" >95.45</td><td align="center" valign="middle" >76.92</td></tr><tr><td align="center" valign="middle" >15-10-2019</td><td align="center" valign="middle" >93.03</td><td align="center" valign="middle" >84.76</td><td align="center" valign="middle" >31-10-2019</td><td align="center" valign="middle" >96.53</td><td align="center" valign="middle" >90</td></tr><tr><td align="center" valign="middle" >16-10-2019</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >88.12</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>reduction was recorded at 96.53% and 91.25% in the month of October. The Highest and least COD reduction was recorded as 94.31% and 72.57% in the same month (<xref ref-type="fig" rid="fig7">Figure 7</xref>).</p><p>From <xref ref-type="table" rid="table1">Table 1</xref>1, it is evident that the removal of TDS has been overwhelming with reverse osmosis with removals of greater than 100% this is attributed to the fact of the principle of reverse osmosis in removing solids. While the removal rates of COD were very less as most of the COD was removed during the biological treatment using SBR.</p></sec><sec id="s4"><title>4. Discussion</title><p>Sequencing Batch Reactor</p><p>Sequencing batch reactor (SBR) is used to treat the wastewater generated from the pharmaceutical manufacturing process and it is tested on a pilot scale. SBR is a modified activated sludge process adopted in the majority of industries due to its flexibilities in controlling process and design leading to achieving treatment in line to latest effluent discharge standards. SBR has the least sludge bulking with negligible footprints and economically viable. Performing equalization, neutralization, biological treatment including primary and secondary clarification in a</p><table-wrap id="table11" ><label><xref ref-type="table" rid="table1">Table 1</xref>1</label><caption><title> % Removal of TDS and in RO after treatment with SBR</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >August</th><th align="center" valign="middle"  colspan="2"  >September</th><th align="center" valign="middle"  colspan="2"  >October</th></tr></thead><tr><td align="center" valign="middle" >TDS</td><td align="center" valign="middle" >COD</td><td align="center" valign="middle" >TDS</td><td align="center" valign="middle" >COD</td><td align="center" valign="middle" >TDS</td><td align="center" valign="middle" >COD</td></tr><tr><td align="center" valign="middle" >102.81</td><td align="center" valign="middle" >8.62</td><td align="center" valign="middle" >100.28</td><td align="center" valign="middle" >12.30</td><td align="center" valign="middle" >92.25</td><td align="center" valign="middle" >10.19</td></tr><tr><td align="center" valign="middle" >99.35</td><td align="center" valign="middle" >6.78</td><td align="center" valign="middle" >100.00</td><td align="center" valign="middle" >13.07</td><td align="center" valign="middle" >89.34</td><td align="center" valign="middle" >5.02</td></tr><tr><td align="center" valign="middle" >103.13</td><td align="center" valign="middle" >6.39</td><td align="center" valign="middle" >101.01</td><td align="center" valign="middle" >12.35</td><td align="center" valign="middle" >88.17</td><td align="center" valign="middle" >−2.25</td></tr><tr><td align="center" valign="middle" >102.69</td><td align="center" valign="middle" >8.51</td><td align="center" valign="middle" >101.00</td><td align="center" valign="middle" >10.98</td><td align="center" valign="middle" >92.59</td><td align="center" valign="middle" >6.81</td></tr><tr><td align="center" valign="middle" >100.74</td><td align="center" valign="middle" >9.40</td><td align="center" valign="middle" >100.00</td><td align="center" valign="middle" >11.45</td><td align="center" valign="middle" >95.70</td><td align="center" valign="middle" >8.99</td></tr><tr><td align="center" valign="middle" >99.22</td><td align="center" valign="middle" >11.36</td><td align="center" valign="middle" >99.43</td><td align="center" valign="middle" >8.41</td><td align="center" valign="middle" >94.13</td><td align="center" valign="middle" >8.74</td></tr><tr><td align="center" valign="middle" >103.00</td><td align="center" valign="middle" >11.42</td><td align="center" valign="middle" >102.25</td><td align="center" valign="middle" >12.90</td><td align="center" valign="middle" >92.58</td><td align="center" valign="middle" >−18.99</td></tr><tr><td align="center" valign="middle" >100.00</td><td align="center" valign="middle" >12.67</td><td align="center" valign="middle" >100.52</td><td align="center" valign="middle" >11.38</td><td align="center" valign="middle" >89.45</td><td align="center" valign="middle" >−12.65</td></tr><tr><td align="center" valign="middle" >103.23</td><td align="center" valign="middle" >13.73</td><td align="center" valign="middle" >101.22</td><td align="center" valign="middle" >12.82</td><td align="center" valign="middle" >96.61</td><td align="center" valign="middle" >20.81</td></tr><tr><td align="center" valign="middle" >100.68</td><td align="center" valign="middle" >9.85</td><td align="center" valign="middle" >101.70</td><td align="center" valign="middle" >11.75</td><td align="center" valign="middle" >79.27</td><td align="center" valign="middle" >34.22</td></tr><tr><td align="center" valign="middle" >100.91</td><td align="center" valign="middle" >15.30</td><td align="center" valign="middle" >99.30</td><td align="center" valign="middle" >9.69</td><td align="center" valign="middle" >90.00</td><td align="center" valign="middle" >5.57</td></tr><tr><td align="center" valign="middle" >102.60</td><td align="center" valign="middle" >19.70</td><td align="center" valign="middle" >100.31</td><td align="center" valign="middle" >9.51</td><td align="center" valign="middle" >92.70</td><td align="center" valign="middle" >8.53</td></tr><tr><td align="center" valign="middle" >104.97</td><td align="center" valign="middle" >13.18</td><td align="center" valign="middle" >100.82</td><td align="center" valign="middle" >11.49</td><td align="center" valign="middle" >92.40</td><td align="center" valign="middle" >−4.23</td></tr><tr><td align="center" valign="middle" >99.13</td><td align="center" valign="middle" >17.74</td><td align="center" valign="middle" >101.02</td><td align="center" valign="middle" >11.78</td><td align="center" valign="middle" >93.59</td><td align="center" valign="middle" >9.49</td></tr><tr><td align="center" valign="middle" >100.69</td><td align="center" valign="middle" >8.79</td><td align="center" valign="middle" >101.75</td><td align="center" valign="middle" >10.01</td><td align="center" valign="middle" >86.01</td><td align="center" valign="middle" >5.07</td></tr><tr><td align="center" valign="middle" >104.37</td><td align="center" valign="middle" >12.78</td><td align="center" valign="middle" >100.97</td><td align="center" valign="middle" >8.33</td><td align="center" valign="middle" >82.27</td><td align="center" valign="middle" >12.44</td></tr><tr><td align="center" valign="middle" >98.76</td><td align="center" valign="middle" >14.06</td><td align="center" valign="middle" >100.29</td><td align="center" valign="middle" >8.39</td><td align="center" valign="middle" >95.50</td><td align="center" valign="middle" >4.13</td></tr><tr><td align="center" valign="middle" >102.56</td><td align="center" valign="middle" >14.64</td><td align="center" valign="middle" >100.00</td><td align="center" valign="middle" >10.20</td><td align="center" valign="middle" >84.79</td><td align="center" valign="middle" >15.33</td></tr><tr><td align="center" valign="middle" >100.00</td><td align="center" valign="middle" >10.50</td><td align="center" valign="middle" >99.11</td><td align="center" valign="middle" >12.12</td><td align="center" valign="middle" >86.64</td><td align="center" valign="middle" >6.51</td></tr><tr><td align="center" valign="middle" >101.34</td><td align="center" valign="middle" >18.31</td><td align="center" valign="middle" >102.56</td><td align="center" valign="middle" >11.46</td><td align="center" valign="middle" >89.82</td><td align="center" valign="middle" >−0.21</td></tr><tr><td align="center" valign="middle" >100.30</td><td align="center" valign="middle" >15.12</td><td align="center" valign="middle" >100.93</td><td align="center" valign="middle" >10.04</td><td align="center" valign="middle" >93.17</td><td align="center" valign="middle" >20.44</td></tr><tr><td align="center" valign="middle" >103.08</td><td align="center" valign="middle" >11.22</td><td align="center" valign="middle" >101.25</td><td align="center" valign="middle" >10.36</td><td align="center" valign="middle" >74.02</td><td align="center" valign="middle" >20.51</td></tr><tr><td align="center" valign="middle" >100.36</td><td align="center" valign="middle" >11.69</td><td align="center" valign="middle" >101.73</td><td align="center" valign="middle" >10.20</td><td align="center" valign="middle" >91.21</td><td align="center" valign="middle" >7.25</td></tr><tr><td align="center" valign="middle" >101.31</td><td align="center" valign="middle" >11.58</td><td align="center" valign="middle" >103.11</td><td align="center" valign="middle" >12.29</td><td align="center" valign="middle" >87.38</td><td align="center" valign="middle" >−3.14</td></tr><tr><td align="center" valign="middle" >101.57</td><td align="center" valign="middle" >12.65</td><td align="center" valign="middle" >101.34</td><td align="center" valign="middle" >10.79</td><td align="center" valign="middle" >87.23</td><td align="center" valign="middle" >5.09</td></tr><tr><td align="center" valign="middle" >99.71</td><td align="center" valign="middle" >13.93</td><td align="center" valign="middle" >98.55</td><td align="center" valign="middle" >12.89</td><td align="center" valign="middle" >77.40</td><td align="center" valign="middle" >−1.89</td></tr><tr><td align="center" valign="middle" >103.23</td><td align="center" valign="middle" >5.27</td><td align="center" valign="middle" >101.30</td><td align="center" valign="middle" >13.59</td><td align="center" valign="middle" >89.18</td><td align="center" valign="middle" >18.03</td></tr><tr><td align="center" valign="middle" >99.73</td><td align="center" valign="middle" >8.77</td><td align="center" valign="middle" >101.35</td><td align="center" valign="middle" >13.15</td><td align="center" valign="middle" >90.21</td><td align="center" valign="middle" >10.48</td></tr><tr><td align="center" valign="middle" >89.72</td><td align="center" valign="middle" >15.67</td><td align="center" valign="middle" >108.29</td><td align="center" valign="middle" >11.77</td><td align="center" valign="middle" >86.64</td><td align="center" valign="middle" >−14.11</td></tr><tr><td align="center" valign="middle" >103.11</td><td align="center" valign="middle" >8.57</td><td align="center" valign="middle" >99.14</td><td align="center" valign="middle" >9.62</td><td align="center" valign="middle" >82.54</td><td align="center" valign="middle" >−4.35</td></tr><tr><td align="center" valign="middle" >100.63</td><td align="center" valign="middle" >13.42</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >88.02</td><td align="center" valign="middle" >9.73</td></tr></tbody></table></table-wrap><p>single vessel by means of timed control sequence [<xref ref-type="bibr" rid="scirp.98176-ref10">10</xref>]. Initially, sewage is treated by SBR, but later on, due to its ameliorating process control and flexible design industries has been adopted for biological treatment. Organic chemicals in wastewater, which are difficult in treating can even be treated by SBR. Dutta &amp; Sarkar, 2015 [<xref ref-type="bibr" rid="scirp.98176-ref11">11</xref>] made a slight change in the design of SBR to treat ever-increasing Nutrient load in Effluents and achieved successful results. In the current study, SBR was run on pilot scale trial for three months i.e., from August to October. Outlets of SBR were fed to RO (Reverse Osmosis) system to study the suitability of SBR as pre-treatment for RO. The efficiency is tested in terms of removal percentage of TDS (Total Dissolved Solids) and COD (Chemical Oxygen Demand).</p><p>The efficiency of SBR during Pilot-scale trails is presented as follows:</p><p>&#183; pH profile</p><p>The efficiency of SBR is primely affected by the pH and it is considered as one of the most important factors. pH can be tacit in two-stage, in the primary stage, the metabolic activity of the microorganisms and utilization of Substrates are influenced whereas in the secondary stage, pollutant removal is affected and can be tested in terms of Sludge yield. The pH of SBR feed was ranged between 6.5 to 7.8 while an increase in pH of the outlet was recorded between 8 to 9.6. An increase in the pH is credited to the fact that organic matter present in terms of ammonia has been converted to nitrate and nitrite where nearly 75% of ammonia is removed. After removal of ammonia called ammonia “valley”, a sharp increase in pH is reported [<xref ref-type="bibr" rid="scirp.98176-ref12">12</xref>]. A similar trend was reported in the present study. Studies from different sources have reported the alkaline nature of wastewater or increased pH values in comparison to influent after treatment with SBR [<xref ref-type="bibr" rid="scirp.98176-ref13">13</xref>]. Further, Morrison et al., 2001 [<xref ref-type="bibr" rid="scirp.98176-ref14">14</xref>] stated that the pH of the effluent regulates its application for various purposes since extreme pH being toxic to aquatic life also alters the solubility of pollutants and essential elements. Also, monitoring profile of pH can be useful in establishing control strategies for removal of nutrients in SBR which contribute through minimising the cost of operation in this area of research.</p><p>&#183; Removal of total dissolved solids</p><p>Treatability of wastewater in sequencing batch reactor is governed by the properties of the wastewater. Among others, one of the parameters that precisely govern the performance of SBR which did not have enough research attention is the content of total dissolved solids of the wastewater under treatment. Previous studies have shown that wastewaters containing high TDS when treated by SBR result in a substantial reduction of chemical oxygen demand since high TDS is considered to affect the dissolvability of oxygen in the wastewater [<xref ref-type="bibr" rid="scirp.98176-ref15">15</xref>]. Highest removal of TDS was noted as 27.32% during the month of September while the lowest with negative removal was observed during the month of March with −29.28%. Wu and Maskaly, 2018 [<xref ref-type="bibr" rid="scirp.98176-ref16">16</xref>] stated that at increasing TDS levels aerobic microorganisms and their metabolism are adversely affected leading to failure in the system. Upon effective working conditions, removal of TDS is observed which is attributed to the oxidative degradation of dissolved solids [<xref ref-type="bibr" rid="scirp.98176-ref17">17</xref>]. Studies conducted by Mahvi, 2008 [<xref ref-type="bibr" rid="scirp.98176-ref18">18</xref>] on wastewater TDS removal reported a reduction of 61.25%.</p><p>&#183; Removal of Chemical Oxygen Demand</p><p>Chemical Oxygen Demand is understood as the amount of oxygen utilized in the process of chemical breakdown of organic and inorganic matter which serves in measuring the ability of organic substances in consuming oxygen present in water. In the present study, the highest and lowest COD removal was noted as 68.74% and 34.98% during the months of March and May respectively. The reduction in COD is attributed to aeration and digestion processes, which are confirmed by previous studies showing 99%, 90%, 98% and 94% removal respectively [<xref ref-type="bibr" rid="scirp.98176-ref19">19</xref>]. As per the report of USEPA, SBR is effective in the removal of COD and BOD along with nitrification, denitrification and suspended solids (USEPA, 2000). SBR has proved to be efficient in treating a wide array of industrial effluents with high strength which include but are not restricted to fruit and food processing, textile, fish farming, tannery, paper and pulp and pharmaceutical industries. Previous studies employing SBR for wastewater treatment have shown good results. NG et al., 1989 [<xref ref-type="bibr" rid="scirp.98176-ref20">20</xref>] obtained 99% to 86% of COD removal under varied loading factors on a lab-scale SBR.</p><p>&#183; Dissolved Oxygen Profile</p><p>The stage of reacting in SBR hosts two activities which are degradation of substrate leading to the elimination of organic matter followed by starvations consequent from the removal of entire organic matter making bacteria much hydrophobic leading to adhesion of microbes to end products. Further, dissolved oxygen concentrations of the system impact the efficiency of SBR treatment. 2.0 mg/l of dissolved oxygen concentration is required for maximum nitrification rate. When the concentration of dissolved oxygen falls below 0.5 mg/l and at a maximum of 1.0 mg/l, inhibits denitrification. The dissolved oxygen concentration of SBR system during the operation is understood to increase during the react stage as aeration is provided, the concentration decreases in the stages of the settle, draw and idle due to ceasing of aeration and mixing processes. Moreover, the concentration of dissolved oxygen is substantially related to the activity of microorganisms in the system. Microbes in the system utilize dissolved oxygen to oxidise chemical oxygen demand and ammonia. Further, the peak of dissolved oxygen occurs after complete depletion of ammonia which indicates the culmination of the nitrification process [<xref ref-type="bibr" rid="scirp.98176-ref10">10</xref>]. An increase in dissolved oxygen is observed when all the organic matter is degraded, reducing the respiration of microbes. Hence, reduction in chemical oxygen demand and ammonia will result in an enhanced concentration of dissolved oxygen. Hence, it is understood that the profile of dissolved oxygen predicts precisely the removal of COD and ammonia. When dissolved oxygen concentration was maintained at 3 mg/l, 83% of COD removal was achieved by Elmolla, 2012 [<xref ref-type="bibr" rid="scirp.98176-ref21">21</xref>].</p><p>&#183; Sludge Volume</p><p>Operating conditions of SBR like famine regimes and cyclic feast, lesser settling times, greater shear stress encourage the development of floc granules which are dense microbial consortia possessing various species of bacteria which perform various roles in the degradation of complex wastes. Sludge from aerobic degradation offers more advantages like greater biomass retention, biosorption, excellent settling properties and also ability in dealing with higher organic load rates and for performing diverse biological processes concurrently including removal of P, N and COD [<xref ref-type="bibr" rid="scirp.98176-ref22">22</xref>]. Sludge volume, in the current study of a one- year trial run of SBR, was reported to be lowest in the month of September (18 ml) and highest (481 ml) was observed in the month of March. Good settleability of sludge results in lower sludge volume which is necessary for good elimination of total suspended solids leading to the removal of COD and BOD. However, lower Sludge Volume from SBR does not necessarily result in good solids settleability. Other conditions promoting good sludge are static fill mode of addition of influent wastewater into SBR without mixing that resembles plug flow type, induces high food to microorganism ratio promoting the growth of floc - forming bacteria by subduing filamentous microbes resulting in sludge that possess good settling characteristics. Formation of sludge takes place in two stages in SBR. In the first stage, sludge is formed from mixed liquor aeration. In the second stage oxidation of ammonia releases nitrites and nitrates resulting in sludge formation in the settling stage [<xref ref-type="bibr" rid="scirp.98176-ref23">23</xref>]. However, when the concentration of MLSS increases in SBR it leads to the enhanced settling time of sludge and also higher suspended solids concentrations in the effluent.</p><p>&#183; Sequencing batch reactor as pre-treatment to Reverse Osmosis</p><p>One-month trial runs were performed wherein treated effluent from SBR is fed to reverse osmosis. The results were promising with higher-end removal of TDS, COD and ammonia recorded as 96%, 88.62% and 87.50% respectively. Meagre studies are found in the context of integrated treatment using SBR followed by RO especially for treating pharmaceutical wastewaters. Gangavarapu et al., 2015 [<xref ref-type="bibr" rid="scirp.98176-ref24">24</xref>] conducted a study on medium scale active pharmaceutical ingredient manufacturing industry that adopted recycling process through a zero liquid discharge system. They reported the flow of effluent treatment process consisted of multiple effect evaporator followed by sequencing batch reactor which is concluded by reverse osmosis. They achieved a reduction in total dissolved solids, total suspended solids and biological oxygen demand in the order of 99.2, 100 and 100 per cent respectively. A combination of membrane sequencing batch reactor with reverse osmosis has achieved 90.9% reduction in chemical oxygen demand, 92% of total organic carbon and 91.5% of oil and grease from produced water of oil and gas field [<xref ref-type="bibr" rid="scirp.98176-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.98176-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.98176-ref27">27</xref>].</p></sec><sec id="s5"><title>5. Conclusion</title><p>Moreover, with changing environmental conditions leading to a wide variety of diseases requiring research and development of new drugs has become a cyclic process with which comes the difficulties of treating these wastewaters which are dynamically changing their characteristics and hence research and development for technologies suitable for effective treatment are always evergreen. Two main parameters understood to be more proficient requiring continuous attention are total dissolved solids and chemical oxygen demand. Over the years available any single technology could not justify their effective removal. As reverse osmosis is garnered being best available technology for the removal of total dissolved solids, it requires pre-treatment to avoid problems related to membrane fouling to have a longer life span. The present study is an attempt to address this challenge and SBR has proved to be a promising solution for pre-treatment removing all substances that might result in membrane fouling. Hence, the present study concludes that a combination of SBR and RO will be a promising solution for effective removal of TDS and COD from pharmaceutical wastewaters.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Reddy, S.R.S., Karnena, M.K., Yalakala, S. and Saritha, V. (2020) Biological Treatability of Low Total Dissolved Solids (LTDS) Using SBR as a Pre-Treatment for Reverse Osmosis. Journal of Water Resource and Protection, 12, 135-154. https://doi.org/10.4236/jwarp.2020.122009</p></sec></body><back><ref-list><title>References</title><ref id="scirp.98176-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Ternes, T.A. and Joss, A. (2006) Human Pharmaceuticals, Hormones and Fragrances. The Challenge of Micropollutants in Urban Water Management. IWA Publishing, London.</mixed-citation></ref><ref id="scirp.98176-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Derksen, J.G.M., Rijs, G.B.J. and Jongbloed, R.H. (2004) Diffuse Pollution of Surface Water by Pharmaceutical Products. 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