Operation of Roseires and Sennar Dams Using Artificial Neural Network

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

during the dry season when the demand is greater than the availablewater at El Deim station and tries to find out the relationship betweenwater levels, amount of evaporation losses, predicted inflowdischarges at El Deim station during the recession period andreservoirs contents of Roseires & Sennar dams.Artificial neural network has been used to establish three models:Model -1 : To predict inflow discharges at El Deim station .Model -2 : To predict reservoir water level knowing reservoir contentand year of application.Model -3 : To find out the numeric relationship between reservoirwaterlevel & Evaporation losses.Artificial Neural network using NeuroShell2 software, whichprovides a quick and flexible means of creating models for prediction,has been shown to perform well in comparison with conventionalmethods.Different scenarios of different network structures have been tried, thebest architecture for the three models is the three connected layer withspecified hidden neurons, but the hidden layer in the first two modelsconsist of two slabs.The results obtained from model-1, model -2 and model -3 areused in a computer program to establish the emptying program ofRoseires & Sennar reservoirs using M.S Excel software.By assuming different areas of Wheat crop - its planting season starton 2nd period of October - the emptying of the two reservoirs has beenrun taking into considerations the following aspects:i. At the beginning of the empting program, the two reservoirs ofSennar & Roseires dams are at their predetermined maximumwater levels.ii. Irrigation demands include projects upstream Sennar dam,Gezira & Managil schemes and minimum downstreamrequirements.iii. At the end of emptying program, the water level of the tworeservoirs should not drop below the minimum water level ofboth reservoirs respectively.Different abstraction ratios for Sennar & Roseires have been triedto satisfy the above mentioned considerations.The best ratio found is 1(Sennar): 4.4 (Roseires

روابط وملفات

التعريف والنوع

رقم الوثيقة

0aba4ab4-fba8-4e4f-b382-c29df14b73d8

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

1637087_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":"Adil Mohamed ElKhidir","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Mawada Elgameel Mohamed Abdellatif","title_ar":"اعداد","title_en":"Preparation"}]

اللغة

English

المصدر والدورية

اسم المصدر

Operation of Roseires and Sennar Dams Using Artificial Neural Network

المحتوى والصفحات

عدد الصفحات

0

إشراف وإعداد

الإشراف

Adil Mohamed ElKhidir

الإعداد

Mawada Elgameel Mohamed Abdellatif

الاقتباسات الببليوغرافية