Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Rafa, H."'
Autor:
Rafa H. Al-Suhaili, Muwafaq A. Abed
Publikováno v:
Journal of Engineering, Vol 14, Iss 04 (2024)
Oil refineries are major contributors to local environmental problems .The main pollutants are oil , dissolved components , spent acids , suspended solids, sludge . Technically it is possible to remove all these pollutants by Physical , chemical and
Externí odkaz:
https://doaj.org/article/26417e3f6e7640c09095da4a0beef0ae
Autor:
Rafa H. Al-Suhili, Nawbahar F. Mustafa
Publikováno v:
Journal of Engineering, Vol 20, Iss 07 (2023)
A multivariate multisite hydrological data forecasting model was derived and checked using a case study. The philosophy is to use simultaneously the cross-variable correlations, cross-site correlations and the time lag correlations. The case study is
Externí odkaz:
https://doaj.org/article/40d8cfe162994dd4bd6d2c255da39a40
Publikováno v:
Journal of Engineering, Vol 18, Iss 05 (2023)
Optimum allocation of water for restoration of Iraqi marshes is essential for different related authorities. Abo-Ziriq marsh area about 120 km2 is situated 40 km east of Al-Nassryia city. After comparing the measured annual water qualities with the I
Externí odkaz:
https://doaj.org/article/957c2dc2535140938e9837553bb8a17e
Publikováno v:
Journal of Engineering, Vol 19, Iss 9 (2023)
This research presents a model for surveying networks configuration which is designed and called a Computerized Integrated System for Triangulation Network Modeling (CISTNM). It focuses on the strength of figure as a concept then on estimating the re
Externí odkaz:
https://doaj.org/article/bd5d759830b24a00949089b71e4fa585
Publikováno v:
Journal of Engineering, Vol 19, Iss 3 (2023)
A Genetic Algorithm optimization model is used in this study to find the optimum flow values of the Tigris river branches near Ammara city, which their water is to be used for central marshes restoration after mixing in Maissan River. These tributari
Externí odkaz:
https://doaj.org/article/efd96b5a751e4b718f7e3cec26bbfc08
Autor:
Rafa H. AL-Suhaili, Rizgar A. Karim
Publikováno v:
Journal of Engineering, Vol 20, Iss 3 (2023)
ANN modeling is used here to predict missing monthly precipitation data in one station of the eight weather stations network in Sulaimani Governorate. Eight models were developed, one for each station as for prediction. The accuracy of prediction obt
Externí odkaz:
https://doaj.org/article/6db85dad8b75455993153ee338698687
Publikováno v:
Journal of Engineering, Vol 18, Iss 2 (2023)
This study investigated the ability of using crushed glass solid wastes in water filtration by using a pilot plant, constructed in Al-Wathba water treatment plant in Baghdad. Different depths and different grain sizes of crushed glass were used as mo
Externí odkaz:
https://doaj.org/article/d95c66b7fff94c6094e329f0c4cb9552
Publikováno v:
Journal of Engineering, Vol 23, Iss 9, Pp 1-22 (2017)
A model using the artificial neural networks and genetic algorithm technique is developed for obtaining optimum dimensions of the foundation length and protections of small hydraulic structures. The procedure involves optimizing an objective function
Externí odkaz:
https://doaj.org/article/991b7a68c79b4af2bf507b79cdb3d7f6
Akademický článek
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Multi-Sites Multi-Variables Forecasting Model for Hydrological Data using Genetic Algorithm Modeling
Autor:
Rafa H. Al-Suhili
Publikováno v:
Journal of Engineering, Vol 21, Iss 3, Pp 54-72 (2015)
A two time step stochastic multi-variables multi-sites hydrological data forecasting model was developed and verified using a case study. The philosophy of this model is to use the cross-variables correlations, cross-sites correlations and the two st
Externí odkaz:
https://doaj.org/article/9836d9db0e464d29b8120e3f1b88b667