The Experiment Research Of Drinking Water Advanced Treatment Technology

At present, the shortage and pollution of water resource in our country is more and more serious, the conventional water purification system can't efficiently remove the pollutants such as the organic matter, ammonia nitrogen etc. in the raw water. At the same time, the public are paying more attention to their drinking water quality. So adopting advanced drinking water purification to obtain high quality water is necessary.The study chose ceramics, a late-model water treatment material, combine with active carbon to dispose drinking water at a deep level. The composite filter has large specific surface area and strong ability of adsorption. Molecular with higher polarity and unsaturated are easily adsorbed by ceramics, and it can also remove the ammonia-N in micro-polluted raw water efficiently. The O3/bio-composite filter fit ozone oxidation, composite adsorption and biological effect together, it overcome the limitations of using three separately, but also give full play to the strengths and synergies among the three parties, with the advantage of efficiently and stability and so on. The experiment uses the LANGMAO reservoir water as the raw water. Static adsorption tests and the combined process of continuous operation tests are carried out.The best matching of the adsorbent is 70% active carbon+30%ceramsite. the removal effect of CODMn and NH3-N by active carbon-ceramics is influenced by temperature insignificant. The time of adsorption equilibrium of active carbon and composite filter materials to CODMn is 4h. The absorption isothermal formula is qe=0.1165Cel.1984. The removal rate is influenced by pH value more remarkably than that of temperature. Under the acid condition, the removal effect of CODMn and NH3-N by active carbon-ceramics is better. The optimal condition of pH value for CODMn remove is 2.5-5.5 and for NH3-N remove is 3.5-8.5, here, the removal rates of NH3-N is better than 30%. While, it has bad removal rates both for CODMn and NH3-N under the alkaline condition. The combined process of continuous operation experiment shows that:The formation of the biofilm is easy. When the average temperature is about 18℃, the relative eliminate rate taken as parameters, after 14days, the removal rate of NH3-N arrives at about 60%. We can confine that the formation of the biofilm finish. The results of the continuous dynamic adsorption experiment shows that:The active carbon-ceramics composite filter materials has good removal effect of pollutants, under the optimal condition for treating reservoir water, 3mg/L of ozone dosage,15-20 min of EBCT, the average removal rates of turbidity, CODMn, UV254, NH3-N and NO2--N are 70.1%,58.4%,43.2%,86.6% and 84.1% respectively. EBCT has a great influence on the biological filter, when extend the EBCT from 5min to 15min then 24min, CODMn removal rate from 51% to 62% then to 73%, turbidity removal rate from 44% to 51% then 67%, NH3-N removal rate from 45% to 92% then 98%, NO2--N from 42% to 55% then to 57%, comprehensive considerate pollutant removal efficiency, processing water volume and economic factors, the best choice EBCT for 15min as the best. In the EBCT of 15min, ozone dosage 3mg/l case, the water turbidity, nitrogen and organic matter contents are decreased gradually with the flow direction, but mainly concentrated above 50cm to complete. the efficiency of NH3-N and NO2--N removal rate is affected by the NH3-N concentration in the source water. In the process of NH3-N concentration from 0.2mg/l gradually increase to 8mg/l, NH3-N removal rate from 4.7% to maximum 88%(NH3-N concentration of 1.7mg/l pm) followed by steady about 80%; NO2--N removal efficiency into a parabolic-type changes, from-6.31% to a maximum 90%(NH3-N concentration of 0.6mg/l pm) decrease gradually after, when the concentration of NH3-N increase to 3mg/l, NO2--N accumulation occurs. CODMn removal is positively correlated with the influent CODMn, its relevance is logarithmic, the correlation coefficient is 0.8; NH3-N removal is negatively correlated with the influent CODMn, its relevance is logarithmic, the correlation coefficient is 0.8.