الفهرس 
FACTORS AFFECTING AGRICULTURAL WASTE USE IN TREATMENTOnly 14 pages are availabe for public view
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Abstract
This study aims to use agricultural wastes of ficus trees pruning, rice husk and Poinciana trees pruning as a biomedia to improve self purification process in polluted stream bodies. Also it aims to produce a mathematical model for this treatment take into consideration media self purification effect.
An experimental pilot channel was conducted for studying the effect of using biomedia with length equal to 25 and 50cm through the stream flow. A wastewater tank was used as a source of wastewater. Measurements of water samples were done for different parameters for three weeks.
Experimental measurements illustrate the removal ratio was higher by using 50cm ficus tree pruning more than using 25cm of the same media. It achieved 77% for COD and 76% for BOD and decreased the required length for self purification approximately by 154m for COD and 135m for BOD. The measurements also illustrate that using 50cm of rice husk achieved high removal ratio more than using 25cm of the same media. It achieved 60% for COD and 67% for BOD and decreased the required length for self purification by approximately 91m for COD and 90m for BOD. Poinciana trees pruning achieved higher removal efficiency for 50cm more than 25cm. it was 63% for COD and 65% for BOD and decrease the required length for self purification by 17m for COD and by 20m for BOD.
An imperical model equation was produced and verified then applying on results to calculate removal ratio and it had error percents between -8.76 % and + 9.23% for COD and – 8.02% and +9.93% for BOD.
Neural networks confirm the produced model equation for prediction of COD and BOD removal ratios when using this method in water stream bodies by error range between -1.44% & +2.00%.