The research aims to apply the novel forward osmosis (FO) process to recover pure water
from contaminated water. Phenol was used as organic substance in the feed solution, while sodium
chloride salt was used as draw solution. Membranes used in the FO process is the cellulose
triacetate (CTA) and polyamide (thin film composite (TFC)) membrane. Reverse osmosis process
was used to treatment the draw solution, the exterior from the forward osmosis process. In the FO
process the active layer of the membrane faces the feed solution and the porous support layer faces
the draw solution and this will show the effect of dilutive internal concentration polarization and
concentrative external concentration polarization.
In the FO process was a run-time for five hours, and the concentration of phenol 100 and
1000 mg/l, and for the NaCl the concentration was 10000 and 30000 mg/l. It was found that
recovery percent increases with increasing time, while water flux through membrane decreases with
increasing time. Also, it was found that recovery and water flux increases with increasing draw
solution concentration, on the contrary, water flux and the percentage of recovery decreases with
increasing the concentration of phenol (feed solution). Increase in draw solute (NaCl) concentration
has more effect on the water flux in FO process compared with increase in the concentration of
phenol. Outlet phenol concentration increases with time, while the outlet salt concentration
decreases with increasing the time. The results showed that the cellulose triacetate membrane gave
the highest recovery ratio from the thin film composite membrane. The highest recovery was
reached in five hours is 51.33%, while using CTA membrane recovery rate increase, by 23%
compared with TFC membrane. The value of the resistance to solute diffusion within the membrane
porous support layer is 36.83 h/m. Reverse osmosis is perfect method for removal of dissolved salts
from water, thus its suitable process for reducing the content of NaCl in draw solution; therefore the
sodium chloride rejection percentage was 91.6 – 96 % for polyamide membrane (TFC). Within two
hours of work of the reverse osmosis system the recovery percentage of pure water is 58%.
Abstract
The logistic regression model is one of the nonlinear models that aims at obtaining highly efficient capabilities, It also the researcher an idea of the effect of the explanatory variable on the binary response variable. &nb
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The Necessity of College of Education for Woman from the Point of view of Students
Impact Resistance training with and against the trajectory of the motor in some physical abilities and the BioA 100-meter, mechanical racing run for young people. That Training Jogging for different distances Melt -Rubber ropes According to direction and reversed movement With Obligations To the border of scientific of components Pregnancy Training represents to a training trend Aimed To Events Developments In The link between Starting and running, According to the specific mechanical requirements Have It Of Development of force Explosive and quick and their components which To give Border To the level Special speed for Stages Sprint run 100 m and amounts Efforts Required instantaneous powers. Noted Researcher In That Over there Repeat For
... Show MoreThe research aims to reveal the impact of media policy in Iraqi media outlets on the level of objectivity in these outlets. A study from the communicators’ point of view where the researcher used a survey method on the communicators in media outlets to reveal the extent of media policies knowledge as well as the pressures exerted by this policy on communicators in media outlets. It also reveals the extent of their commitment to objectivity, neutrality in dealing with information and the way used to transfer it.
The research sample included (179) respondents from communicators in a range of Media outlets such as (Press, Radio, and Television), The researcher was careful with the diversity of the sample, and
Ground-based active optical sensors (GBAOS) have been successfully used in agriculture to predict crop yield potential (YP) early in the season and to improvise N rates for optimal crop yield. However, the models were found weak or inconsistent due to environmental variation especially rainfall. The objectives of the study were to evaluate if GBAOS could predict YP across multiple locations, soil types, cultivation systems, and rainfall differences. This study was carried from 2011 to 2013 on corn (Zea mays L.) in North Dakota, and in 2017 in potatoes in Maine. Six N rates were used on 50 sites in North Dakota and 12 N rates on two sites, one dryland and one irrigated, in Maine. Two active GBAOS used for this study were GreenSeeker and Holl
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