Resources and Environment

p-ISSN: 2163-2618    e-ISSN: 2163-2634

2015;  5(4): 107-109

doi:10.5923/j.re.20150504.01

Comparison of the Efficiency of Physical and Biological Treatment of Slow Sand Filter in Kahkash (Samaan) Treatment Plant

Abdolmajid Fadaei

Department of Environmental Health Engineering, School of Health, Shahrekord University of Medical Sciences, Shahrekord, Iran

Correspondence to: Abdolmajid Fadaei, Department of Environmental Health Engineering, School of Health, Shahrekord University of Medical Sciences, Shahrekord, Iran.

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Copyright © 2015 Scientific & Academic Publishing. All Rights Reserved.

Abstract

Today, the importance of water is so obvious that it is one of the main bases of sustainable development; in fact, in current decades, the water treatment is one of the most important and complicated world issues. This study aimed to investigate the comparison of the efficiency of physical and biological treatment of slow sand filter in Kahkash (located in Chaharmahal and Bakhtiari province, Iran) treatment plant. This cross-sectional study was carried out in Kahkash, a rural area located in Charharmahal and Bakhtiari province, southwest of Iran. Sixty samples (30 in the spring and 30 in the summer) were randomly filtered. Turbidity was measured by Nephelometer using 0.02 NTU standards, color was measured by colorimetry, coliform and E.coli was evaluated by multiple tube fermentation method, Heterotrophic bacteria was assessed by pour plate method, and suspended solid was accomplished by gravimetric method. The mean amount of suspended solid, turbidity, color, Coliform, E.coli and Heterotrophic bacteria in the spring time, were 50.56, 53.92, 59.37, 91.56, 85.28, and 70.52, respectively and in the summer time were 18.22, 44.22, 40.63, 90.52, 86.13 and 76.94, respectively. There were no significant differences in the working efficiency between spring and summer times (P>0.05). Except for turbidity which was higher in the spring than summer (P>0.05).

Keywords: Slow sand filter, Water treatment, Efficiency

Cite this paper: Abdolmajid Fadaei, Comparison of the Efficiency of Physical and Biological Treatment of Slow Sand Filter in Kahkash (Samaan) Treatment Plant, Resources and Environment, Vol. 5 No. 4, 2015, pp. 107-109. doi: 10.5923/j.re.20150504.01.

1. Introduction

Slow sand filtration has been an effective method of treating water for the control of physical, microbiological and chemical contaminants, speciallyfor rural regions water supplies [1]. Slow sand filtration (SSF) in potable water treatment is effective in the removal of turbidity and (pathogenic) microorganisms such as enterovirus, Campylobacter, Cryptosporidium, Escherichia coli and Giardia [2]. In more recent research, SSFs, were able to remove 99.9% of experimentally added cysts of Giardia, Cryptosporidium, and coliform bacteria. Cryptosporidium and Giardia fall in the size range of 1–25µm [3]. Slow sand filters have also demonstrated their ability to remove viruses from water supplies [4]. This method has been shown to be successful for herbicides and polar pharmaceuticals contaminant removal [5]. The treatment processes in slow sand filters are mainly attributed to naturally-occurring physico-chemical and biochemical processes [6]. The efficiency of slow sand filtration depends on the media material and the depth of the filter [7]. In slow sand filters, raw water flows by gravity through a column of sand and layer of support gravel and flows out an under drain collection grid to the treated water storage and distribution system [5].
SSF is generally the third stage of water treatment after reservoir storage and rapid filtration, prior to disinfecation [8]. However, slow sand filters can also provide a single-stage treatment for raw waters within certain water quality limits of turbidity and algal content [4]. Simplicity, and low capital and operating costs are other principal advantages of SSF compared with more complicated methods of water treatment.
SSF is utilized under several conditions and scales ranging from household level to the large scale at a potable water production plant [9]. The purpose of this study to investigate the comparison of the efficiency of physical and biological treatment of slow sand filter in Kahkash (Chaharmahal and Bakhtiari province) treatment plant.

2. Materials and Methods

2.1. Study Area

This cross-sectional study was carried out in Kahkash, a rural area located in Charharmahal and Bakhtiari province, southwest of Iran.

2.2. Sampling

Sixty samples (30 in the spring and 30 in the summer) were randomly filtered. Samples were collected from the source in 300 mL glass bottles sterile. Aseptic conditions were transported in coolers with ice in a temperature below 4°C to the Research Laboratory and Diagnostic Microbiology of the Shahrekord University of Medical Sciences in order to perform microbiological analysis.

2.3. Analytical Measurements

Turbidity was measured by Nephelometer using 0.02 NTU standards, color was measured by colorimetry, coliform and E.coli was evaluated by multiple tube fermentation method, Heterotrophic bacteria was assessed by pour plate method, and suspended solid was accomplished by gravimetric method. To evaluate the microbiological quality of the samples were analyzed for total coliform, coliform and heterotrophic plate count according to methodology described in the American Public Health Association guidelines [10]. In order to check the Most Probable Number (MPN) of total and faecal coliforms (E.coli) was used the technique of Multiple Tube Fermentation. The results were expressed as MPN/100ml. The heterotrophic bacteria count was performed using the pour plate technique, which were spread in 1 ml of the dilutions of 1 ml and 0.1 ml in sterile Petry plates and then added Plate Count Agar.

3. Results and Discussion

In spring and summer working efficiency percent mean of suspended solid, turbidity, color, Coliform, E.coli, Heterotrophic bacteria were 50.56, 53.92, 59.37, 91.56, 85.28, 70.52, 18.22, 44.22, 40.63, 90.52, 86.13, 76.94 percentage, respectively (Table 1). There were no significant differences in the working efficiency between spring and summer (P>0.05) (Table 2). Except to turbidity that working efficiency turbidity in spring was higher than summer (P>0.05).
Table 1. Percent removal type of parameters during summer and spring
     
Table 2. Relationship between season and mean of removal efficiency
     
The highest 91.56% and lowest 18.23% efficiency were belonged to total coliform and suspended solid, respectively.
Nassar and Hajjaj reported that about efficiency of slow sand filter. The average percent removal the median value is 65.92% and standard division is 0.285 on fecal coliform removal [11]. The average percent removal the median value is 86.77% and standard division is 0.111 on suspended solid removal is not sensitive [11].
Raudales and colleagues reported that about slow sand filtration has been observed to remove a high percentage of Phytophthora, Fusarium, bacteria, nematodes, and viruses from irrigation water [12], Hijnen and colleagues reported that about slow sand filtration has been observed the high capacity of mature slow sand filters to remove Cryptosporidium oocysts and spores of C. perfringens. Bruijn and Clark concluded that the removal efficiency of suspended solid 80% [14].

4. Conclusions

Access to safe drinking water has been an important national goal in rural area and other areas.
Slow sand filtration (SSF) is one of the oldest water treatment processes used to produce microbiologically safe drinking water. It is shown that safe drinking water was achieved by a combination of a protected and high quality source at the initial point and maintaining quality from the initial supply (source) point through to final consumption. Our study showed efficiency of physical and biological treatment of slow sand filter was relatively desirable but , for water quality improvement it is suggested that a chemistry and microbiology lab in treatment plant be set up. Also filter washing and cleaning should be accomplished on time.

ACKNOWLEDGEMENTS

This research has been supported by Shahrekord University of Medical Sciences, deputy of research.

References

[1]  Elliott, M.A., Staubera, C.E., Koksal, F., DiGianoa, F.A., and Sobsey, M.D. 2008, Reductions of E. coli, echovirus type 12 and bacteriophages in an intermittently operated household-scale slow sand filter. Water Research, 42:2662 – 2670.
[2]  Schijven, J.F., Teunis, P., Rutjes, S., and de Roda Husman, A.M. 2011. QMRAspot: a computational user-friendly interactive tool for quantitative microbial risk assessment from surface water to drinking water. Water Research, 45:5564-5576.
[3]  Arndt, R. E., and Wagner, E.J., 2003, Filtering Myxobolus cerebralis Triactinomyxons from contaminated water using rapid sand filtration, Aquacultural Engineering, 29: 77–91.
[4]  Elliot, M.A., DiGiano, F.A., and Sobsey, M.D. 2011, Virus attenuation by microbial mechanisms during the idle time of a household slow sand filter. Water Research, 45: 4093-2102.
[5]  Rooklidge, S.J., Burns, E.R., and Bolte, J.P. 2005, Modeling antimicrobial contaminant removal in slow sand filtration. Water Research, 39: 331–339.
[6]  Stauber, C.E., Elliott, M.A., Koksal, F., Ortiz, G.M., DiGiano, F.A., and Sobsey, M.D. 2006. Characterisation of the biosand filter for E. coli reductions from household drinking water under controlled laboratory conditions and field use conditions. Water Science Technology, 54 (3):1–7.
[7]  Baig, S.A., Mahmood, Q., Nawab, B., Shafqat, M.N., Pervez, A. 2011, Improvement of drinking water quality by using plant biomass through household biosand filter – A decentralized approach. Ecological Engineering, 37: 1842– 1848.
[8]  Campos, L.C., Su, M.F.J., Graham, N.J.D., and Smith, S.R., 2002. Biomass development in slow sand filters, Water Research, 36:4543–4551.
[9]  Schijven, J.F., Harold H.J.L., Berg, V., Colin, M., Dullemont, Y., Hijnen, W.A.H., Magic-Knezev, A., Oorthuizen, W.A., and Wubbels, G, 2013. A mathematical model for removal of human pathogenic viruses and bacteria by slow sand filtration under variable operational conditions, Water Research, 47:2592-2602.
[10]  APHA, AWWA, WEF, 2005. Standard Methods for the Examination of Water and Wastewater, 21st ed. American Public Health Association, Washington, DC.
[11]  Nassar, A.M., and Kamel Hajjaj, K, 2013. Purification of storm water using sand filter, Journal of Water Resource and Protection, 5, 1007-1012 http://dx.doi.org/10.4236/jwarp.2013.511105.
[12]  Raudales, R.E., Parke, J.L., Guy, C.L., and Paul R, 2014. Fisher Control of waterborne microbes in irrigation: A review Agricultural Water Management, 143:9–28.
[13]  Hijnena, W.A.M., Dullemontb, Y.J., Schijvenc, J.F., Hanzens-Brouwera, A.J., Martine Rosielled, M., Medemaa, G, 2007. Removal and fate of Cryptosporidium parvum, Clostridium perfringens and small-sized centric diatoms (Stephanodiscus hantzschii) in slow sand filters. Water Research, 41, 2151 – 2162.
[14]  Bruijn, H., and Clark, S. E., Research and development of effective suspended solids Removal from Storm Water Runoff in Collection Systems Using In-Line Lamella Plate Separators, Terre Hill Stormwater System Research Papers. Penn http://www.terrehill.com/documents/09_19_03_villanovapaperterrekleen.pdf.