Cd(II) Adsorption Using Waste Sludge from a Municipal Wastewater Treatment System

In this study, dried waste activated sludge from a municipal wastewater treatment plant was used for Cd (II) ion adsorption with and without pre-treatment. Waste activated sludge was treated with 1% Hydrogen peroxide. Cd (II) adsorption was investigated at an initial Cd(II) concentration of 50 mgL−1 with an adsorbent particle size of 50-70 mesh in erlenmeyer flasks used as batch reactors. The pseudo-first and pseudo-second order kinetic models were used to determine the correlation among the experimental data. The results showed that pretreatment of waste sludge with H2O2 increased equilibrium adsorption capacity. The equilibrium adsorption capacity values obtained for waste activated sludge with and without pretreatment were 39.84 and 20.2 mgg−1, respectively, which increased with increasing solution pH.  The correlation coefficients obtained for pseudo-first (R2>0.87) and pseudo -second (R2>0.96) order kinetic models showed that the latter model better described the experimental data on both types of treated and untreated activated sludge than the latter

The performance evaluation of Khorramabad wastewater treatment plant by using artificial intelligence network

Background: In the last two decades the using of artificial intelligence models for correct operation of the water treatment plant and maintain the stability of systems in favorable conditions, much researches has been done in this area. These models to simulate the behavior of water treatment systems can be used as an effective tool and to be used in the prediction of plant performance. The aim of this study was to evaluate of Khorramabad wastewater treatment plant performance (WWTP) using artificial intelligence network (AIN). Materials and Methods: In this study, by using the AIN-LM and underlying the quality parameters measured at the  entrance of plant (T, PH, DO, BOD, COD, TSS, TDS, NO3, PO4), the corresponding three parameters BOD, COD and TSS in the output of wastewater treatment plant was predicted.  Statistical indicators used in this study were R, MSE and the software Matlab and SPSS (test T-test), respectively. Results: Based on the results, BOD, COD and TSS, respectively, with a maximum R, 0/98, 0/91 and 0/92 for the train data and 0/5, 0/66 and 0/5 for the test data and minimum MSE, 3/5, 33/15 and 2/17 for the train data 11, 115 and 20/99 were predicted for the test data, and the results were acceptable. Also, by calculating the percent removal of pollutants in the output of plant was revealed that TSS had the maximum efficiency of pollutant removal in wastewater treatment plant and was equal to 87/68 %. Also, other amounts of pollutant were closed to TSS. Conclusion: In this study, AIN-LM created a reliable tool for predicting the performance of Khorramabad wastewater treatment plant and could predict the quality of effluent on the basis of measured parameters. So, remove of pollutants through the results were obtained by using the AIN-LM network, showed that, it was a good model, so the observed data indicates that confirm of the performance this model, as well. Also, the reduction of qualitative values as standard values recommended by the DOE indicates that the relatively good performance of the WWTP

The assessment of khorramabad River water quality with National Sanitation Foundation Water Quality Index and Zoning by GIS

Background : Rivers are a fraction of flowing waters in the worlds and one of the important sources of water for different consumptions such as agricultural, drinking and industrial uses. The aim of this study was to assess water quality of the Khorramrood River in Khorramabad by NSFWQI index. Materials and Methods: In this cross-sectional study, quality parameters needed for NASWQI index calculation such as BOD5, dissolved oxygen (DO), total nitrate, fecal coliform, pH, total phosphate, temperature, turbidity and total suspended solids content were measured for six months (from July to December 2012)using standard methods at six selected stations. The river zoning conducted by GIS software. Results: According to the results obtained through this study, the highest and the lowest water quality value was observed in stations 1 and 6 with NSFWQI indexes 82 water with good quality, 42 water with bad quality, respectively. With moving toward last station (from 1 to 6 station) water pollution increased. Conclusion: Results of the study indicated that water quality index NSFWQI is a good index to identify the effect of polluter sources on the river water. Based on the average of the index NSFWQI, water quality in station one was good, in the second, third and fourth stations were mediocre and the fifth and sixth stations had bad quality. These results allow to make decisions about monitoring and controlling water pollution sources, as well as provide different efficient uses of it by relevant authorities

Survey of heavy metal pollution (copper, lead, zinc, cadmium, iron and manganese) in drinking water resources of Nurabad city, Lorestan, Iran 2013

Background: Healthy water passes through the pipelines from supply resources to consuming places in which passing from these stages may cause some cases of contamination like heavy metal contamination. Therefore, the aim of this study was to evaluate the contamination of heavy metals (copper, lead, zinc, cadmium, iron, and manganese) in water resources of Nurabad city of Lorestan in 2013. Materials and Methods: In this cross-sectional study, samples were collected from 7 wells of drinking water and 2 water storage tanks during 6 months in Nurabad. So that, heavy metal parameters such as copper, lead, zinc, cadmium, iron, and manganese were measured using an atomic absorption device and also electrical conductivity, sulfate, chloride and total dissolved solids were also measured in accordance with standard methods. Results: Results indicated that the concentration of studied metals in water sources was lower than the national standards and World Health Organization standard, and in the water supply system the concentration of some metals was more than standard level. Moreover, the results showed that the concentration of studied heavy metals were more in winter than in autumn. Conclusion: Generally, in the water resources of Nurabad city the concentration of studied heavy metals was lower than the national standards and World Health Organization standard and there are not problems for water consumers. However, due to public health and the presence of a high concentration of these metals in the distribution supply, the heavy metal concentration in drinking water of this region should be monitored regularly by responsible organizations

Health evaluation of drinking water regarding to scaling and corrosion potential using corrosion indexes in Noorabad city, Iran

Background : Corrosion can cause economic damages, decreased useful life and diseases in the consumers. Therefore, in the present study, the status of potential of corrosion and scaling were investigated in water resources of Noorabad city of Lorestan. Materials and Methods: In this cross-sectional study, samples were collected from 7 wells of drinking water and 2 water storage tanks during from autumn to winter in Noorabad. To do so, parameters including pH, pHs, temperature, calcium hardness, alkalinity and TDS were measured and based on their values, four indexes including Langelier, Ryznar, Aggressive and Pokoryus were determined. Results: Results showed that Langelier, Rayznr, Pokoryus and Aggressive indexes were in the range of +0.07 to +0.61, 7.44 to 8.06, 6.9 to 7.25 and 11.38 to 11.9, respectively. According to the Langelier, Ryznar, Pukorius and Aggressive indexes, all of drinking water sources were corrosive which were studied in Noorabad city. However, according to the Langelier index, all of drinking water sources were sedimentary. Conclusion: Result obtained from studied indexes showed that the drinking water in Noorabad is corrosive and so the water quality in water supply system should be monitored continuously. The best applicable practices for decreasing water corrosion in water supply system are including continuous control of pH, chlorination mechanism and the use of corrosion resistant pipelines and facilities

The study of advanced oxidation process (UV/H2O2) performance in removal of the ceftriaxone antibiotic from aqueous solution

Background : The presence of antibiotics in water sources indicates inadequacy of conventional treatment processes for antibiotics removal. The objective of the present study is to investigate the effectiveness of the advanced oxidation process, UV/H2O2, in the removal of ceftriaxone from an aqueous solution on a laboratory scale. Materials and Methods: This experimental study was conducted on a lab scale in a reactor with a capacity of 5800 ml. Aqueous solutions containing ceftriaxone with concentrations of 9, 18, and 27 mg/l were produced. The effect of different variables including the initial concentrations of the antibiotic, pH, retention time, different lamp voltages, and H2O2 concentrations were investigated. The ceftriaxone concentrations were measured using HPLC method. Results: The results of the study showed that the UV/H2O2 method is able to remove 75% of a 9 mg/l concentration of ceftriaxone from an aqueous solution in 3 hours. The removal rates for ceftriaxone are affected by parameters such as pH, the initial concentration of ceftriaxone, the concentration of H2O2 and the intensity of UV radiations. Acidic pH (pH=3), low concentrations of ceftriaxone (9 mg/l), high H2O2 concentrations (15 mg/l) and higher radiation levels (36 Watt) resulted in higher removal rates. Conclusion: The advanced oxidation method UV/ H2O2 is able to effectively remove ceftriaxone from aqueous solutions under proper environmental conditions