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Register a new userRecycling of Filters Backwash Water (Example : Water Treatment Plant on Roum Dam by Asswayda )
تدوير مياه الغسيل العكسي للمرشحات (مثال محطة تنقية مياه سد الروم في السويداء)
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تُْلَقى المياه الناتجة عن الغسيل العكسي للمرشحات الموجودة في محطات تنقية المياه في المصادر المائية أو الوديان أو محطات الصرف الصحي دون أي إستفادة منها . و تقدر كمية مياه الغسيل الناتجة بمعدل ( 3 - 4%) من كمية المياه المنقاة في المحطة. حتى لو عددنَا كمية المياه قليلة لكنها يمكن أن تكون مفيدة في بعض الظروف, و خصوصاً في حال كان المصدر المائي شحيحاً و لا توجد مصادر مياه قريبة على الإطلاق. إن معالجة مياه الغسيل العكسي تعتمد على الحاجة لإعادة استخدامها، إما لأغراض الشرب أو لأغراض الري و ذلك تبعاً "لمطابقتها لمعايير نوعية المياه الواردة في المواصفات. في هذا البحث حلَِّلت مياه الغسيل العكسي للمرشحات الناتجة عن محطة تنقية سد الروم بالقرب من مدينة السويداء تحليلاً علمياً، و عولجت في محطات التنقية التي صممت لهذا الغرض. و نوقشت نتائج التجارب, و وثَِّقتِ الحقائق المهمة، و حددتِ الجدوى الاقتصادية لإعادة استخدام المياه.
Resulting backwash water from existing filters, in the water purification plants, is actually thrown in most cases in water bodies, valleys or discharged into other system without making any benefit from it. The amount of backwash water is well estimated to be in average (3-4%) of purified water amount. Even if this amount is generally not relevant, it can however be considered to be useful in some circumstances, where the source water is rare or there is no water resource in the region at all. Treatment of backwash water depends on the reuse need of it, either for drinking or irrigation purposes, so that the treated water must be in accordance with the water quality standard stated in related specifications. In this research, the resulting backwash water purification plant at Roum Dam near Swaida town has been scientifically analyzed and treated in a plant designed and built for this purpose. In this paper, the results of experiments are discussed; important facts have been concluded and economic feasibility for water reuse was determined.
References used
NPicholas P. Cheremisinoff, Ph.d. n&p limited. 2004 handbook of water and wastewater treatment technologies boston oxford auckland johannesburg melbourne new delhi
الشامي ,شبلي. وهبة,هند. منشورات جامعة دمشق الهندسة البيئية. 1992
د. زينو، أمجد. د. معلا، وائل. د. مرعي، يوسف. د. نخلة، وسام. 2010 ، الهيدروليك التطبيقي، منشورات جامعة دمشق.
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The research aims to determine the water Quality Index for the Lake of 16 Tishreen Dam. To achieve
this aim, we have carried out different periodical physic-chemical and bacterial measurements on the lake
water. The samples were taken at five sites
along the lake for a period of one complete year. The indicators
that have been measured are: Temperature, Turbidity, PH, EC, DO, BOD5, NO3, NO2, NH4 ,PO4, F.C.
Measurement results were represented diagrammatically, and compared with the Syrian Specification
Standards for portable Water. The lake was classed according to these Indices: Malays quality index,
Canadian Indices (NSFWQI), (NEWWQI). The Lake was Classed according to these indices as following:
from third grade at all locations (Malays Index), from second grade at the middle lake and from a third grade
to all other locations (NSFWQI), and from second grade at all locations (NEWWQI). According to this
indices the water is not good for drinking and needs treatment. The Productivity of the lake was determined.
The Lake is Eutrophic according to TN,TP in the middle but Hypertrophic according to TN,TP in all other
locations.
The research aims to determine a water Quality Index for the Lake of 16 Tishreen
Dam. To achieve this aim we have carried out a different periodical physicchemical and bacterial measurements on the water of the lake. The Samples were
taken at five
sites along the lake for a period of complete year. The indicators that
، NO2، NO3، BOD5، DO، EC، PH، Turbidity،have been measured are: Temperature
and ، F.C. Measurement results were represented diagrammatically،PO4،NH4
compared with the Syrian Specification Standards for portable Water. The lake was
Canadian Indices ، classed according to these Indices: Malays quality index
(NEWWQI). The Lake was Classed according to these indices as ،(NSFWQI)
from second grade at ،following:from third grade at all locations (Malays Index)
and from ،the middle lake and from a third grade to all other locations (NSFWQI)
second grade at all locations (NEWWQI). According to this indices the water is
not good for drinking and needs treatment. The Productivity of the lake was
determined. The Lake is Eutrophic according to TN-TP in the middle but
Hypertrophic accordingtoTN-TP in all other location
This study was achieved through Mars 2011 until February 2012 the samples collected monthly from Baksa dam from different four location which differenced each other with chemical and physical qualities.
We could in these study classified 132 speci
es of phytoplankton distributed as 59 species belong to chrysophyta, 40 species of chlorophyta and 28 species of cyanophyta , 5 species of Euglenophyta.
Physical and chemicalanalyzing ofBaksa waters showed the difference of values between studding regions, The concentration of Nitrate ions ranged between 17.7 mg/l at third location and 0.3 mg/l at second location, The highest rate to Phosphate ions was 18.8 mg/l and the less was 0.01mg/l, and it was noticed the difference in these values in the same region with the difference of period of time.
The diversity and distribution of studied phytoplankton correlated with the environmental factors.
It was noticed The abundance of cyanophytain the water of third location which near to the sewage channels which is suitable environment to these group of phytoplankton.
Modelling the relationship between drinking water turbidity and other indicators of water
quality in Al-Sin drinking water purification plant using Dynamic Artificial neural
networks could help in the implementation of the stabilization for the per
formance of the
plant because these neural networks provide efficient tool to deal with the complex,
dynamic and non-linear nature of purification processes. They have the ability to response
to various instant changes in parameters influencing water purification.
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were designed to predict the effluent turbidity from Al-Sin drinking water purification
plant. The models were built based on turbidity, pH and conductivity of raw water data
while the effluent turbidity data were used for verify the performance accuracy of each
network. The results of this research confirm the ability of dynamic neural networks in
modeling and simulating the non-linearity behavior of water turbidity as well as to predict
its values. They can be used in Al-Sin drinking water purification plant in order to achieve
the stabilization of its performance.
In this study, microorganism separated from the Syrian soil were used in
treating the waste water from dyehouse and some dyes which are oftenly
applied. A great difference was found in the speed of microorganism growth as
well as the great variati
on in color disappearance, in addition to inactivating
the enzymatic work by some of the dyes. Also, the effect of the dyes density on
the growth of microorganism. The absorption strength measurment in the field
of visible spectrum between ٣٥٠ –٧٥٠ nanometers was adopted for analyzing
the filtrates resulting from the biological treatment .
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