Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Tigris


Follow-Up to the Overlap between Human Activities and the Variation in the Physio-chemical Characteristics of the Sector of Tigris River between Baghdad and El-Dejail

Buthaina A Hassan; Ibrahim M.A Alsalman

Engineering and Technology Journal, 2016, Volume 34, Issue 3, Pages 97-115
DOI: 10.30684/etj.34.3B.19

The current study has been applied on the sector of the Tigris River runs from the Dejail area in Salaheldin province even the outskirts of the city of Baghdad near Muthanna Bridge, for the purpose of the follow-up changes of the physico-chemical factors of river water as a result of human activities affecting in the river environment and of throwing household waste, wastewater, fish cages, agricultural and industrial wastes, six different stations were selected along the course for a distance of about 50 km, and chosen on the basis of the diversity of human activities and given symbols (ST1, ST2, ST3, ST4, ST5and ST6), respectively. Water samples have been collected per month for a full year from January up to December (2014). Many factors such as temperature of air and water, water flow velocity, depth, light transmittance, turbidity, (EC, TDS, pH, DO, BOD5, Ca, Mg , TH, TA, NO2 , NO3, PO4, SiO3, SO4,) in addition to Cl were measured. The results showed that the ranges of air and water temperature were between (12.16-40.13 and 10.5-30.27) °C respectively, and flow velocity ranged from (0.29 to 4.17) m/sec; depth (3.75 -7.5) meters, light transmittance (10.0-133) cm, turbidity (10-300) NUT, EC, (673-2028) ms/cm, salinity (0.41-1.2) part per thousand, TDS (574-1017) mg/l, pH (6.70-7.9), DO (2.1-11.7) mg/l, BOD5 (0.18-5.66) mg/l , Ca (132-520) mg/l, Mg (19 -47) mg/l, TH value varied from (231 to 640) and TA (69-158) mg CaCO3/l, NO2 (0.001-0.008), NO3 (0.30-1.4) mg/l, PO4 (0.004-5.12) mg/l, SiO3 (1.95-5.5) mg/l, SO4 (62-702) mg/l and Cl, (26-110) mg/l. From the results, it can be concluded that the volatility in most of the studied factors between the sites and the values of months significantly subjected to the effects of human activities and diversity, and most of these values have exceeded the conditions by Iraqi and international determinants of the river water.

Prediction of Tigris River Stage in Qurna, South of Iraq, Using Artificial Neural Networks

Ali H. Al Aboodi; Ammar S. Dawood; Sarmad A. Abbas

Engineering and Technology Journal, 2009, Volume 27, Issue 13, Pages 2448-2456

Artificial neural networks (ANNs) with back-propagation algorithm are
performed for predicting the stage of Tigris River in Qurna city, Basrah, south of Iraq. This model was adopted to investigate the applicability of ANNs as an effective tool to simulate the river stage for short term. By using the neural network toolbox in Matlab R2007b, three models are constructed as the first experiment. Multilayer percpetron with one hidden layer is used in the architecture of network. The best model is selected according to the trial and error
procedure based on three common statistic coefficients (coefficient of correlation, root mean square error, and coefficient of efficiency). The best model from first experiment is used to predict the stage river for one, two, and three days ahead as the second experiment. Results indicated the ANNs with back-propagation algorithm are a powerful technique to predict the short term stage of Tigris River

Effect of Dual Reinforcement on Wear Resistance by Aluminum Compacts Reinforce by SiC, Al2O3

Mohammed Moanes Ezzaldean Ali; Hanan A. R. Akkar; A. K. M. AL-Shaikhli; Ali K. Shayyish; Muhsin J. Jweeg; Wisam Auday Hussain; Mohammed T. Hussein; Mohammad A. Al-Neami; Farah S. Al-Jabary; Jafar M. Hassan; Ali H. Tarrad; Mohammed N. Abdullah; Ahmed T. Mahdi; Eyad K. Sayhood; Husain M. Husain; Nidaa F. Hassan; Rehab F. Hassan; Akbas E. Ali; Assim H Yousif; Kassim K Abbas; Aqeel M Jary; Shakir A. Salih; Ali T. Jasim; Ammar A. Ali; Hosham Salim; JafarM. Daif; Ali H. Al Aboodi; Ammar S. Dawood; Sarmad A. Abbas; Salah Mahdi Saleh; Roshen T. Ahmed; Aseel B. Al-Zubaidi; Mohammed Y. Hassan; Majid A. Oleiwi; Shaimaa Mahmood Mahdy; Husain M. Husain; Mohammed J. Hamood; Shaima; a Tariq Sakin

Engineering and Technology Journal, 2009, Volume 27, Issue 13, Pages 423-429

The producing composite materials of dual reinforcement in which the matrix material is aluminum reinforced with two types of ceramic particles : which are Alumina (50μm

Keywords

composite materials; wear test ; Al2O3; SiC: Al