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العنوان
Composting Technology of Agricultural Production Wastes /
المؤلف
Abdelrazek, Reda Abdelhameid Hemida.
هيئة الاعداد
باحث / رضا عبدالحميد حميده عبدالرازق
مشرف / سعيد الشحات عبدالله
مشرف / وائل محمد المسيري
مشرف / تامر عبدالله السخاوي
مناقش / طه حسن عاشور
مناقش / عبدالعزيز محمد عكاشه
الموضوع
Agricultural engineering.
تاريخ النشر
2022.
عدد الصفحات
185 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الزراعية وعلوم المحاصيل
الناشر
تاريخ الإجازة
25/10/2022
مكان الإجازة
جامعة كفر الشيخ - كلية الزراعة - الهندسة الزراعية
الفهرس
Only 14 pages are availabe for public view

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from 185

Abstract

In the present study, composting of dry-cleaning station residues of an Egyptian sugarbeet factory with different treatments was conducted where the residue was collected from Nobaria Sugar and Refining Company (site: Kilo 129 Cairo, Alexandria Desert Road, El Behira Province, Egypt) in August, 2019. Composting was carried out in El Garhi village, Beyala, Kafr Elsheikh Province, Egypt on December, 2nd, 2019 in barrels covered with thermal insulating material and aluminum foil where the composting mass in each barrel was subjected to eight different treatments according the usage of charcoal only or manure only or by both or without them and also after reduction of C/N ratio from 120 towards 28. The treatments included two different types of aeration that are passive and active aeration. Moistening in forced aerated barrels conducted every six hours via forcing a mixture of air and water vapor in the composting mass while in passively aerated barrels moistening conducted in the same way but every three days for quarter hour and if the is a need and in day 45 of composting both moistening and aeration stopped. After fifty-day-old experiment during it, temperature-time profile was obtained using digital sensors at three different levels in each barrel. Also some physicochemical and biological properties of composting mass were analyzed in specific days of composting. Cress germination test was conducted for each medium of germination which contains a mixture of soil and compost (at a ratio of 3:1) where germination parameters were calculated. Second and third order polynomial regression models that achieved high determination coefficients were used to optimize operating factors with the response which included some of the process parameters and physicochemical characteristics of composting mass while multiple linear regression models to optimize operating factors for germination parameters as responses.