Geothermal water treatment. Membrane selection for the RO process

2017 ◽  
Vol 64 ◽  
pp. 292-297 ◽  
Author(s):  
Barbara Tomaszewska ◽  
Michał Bodzek ◽  
Mariola Rajca ◽  
Magdalena Tyszer
2007 ◽  
Vol 44 (01) ◽  
pp. 57-67
Author(s):  
David A. Wright ◽  
Rodger Dawson ◽  
Celia E. Orano-Dawson ◽  
Sharon M. Moesel

Tests of the efficacy of a combination filtration/ultraviolet (UV) ballast water treatment (BWT) system were conducted aboard the MV Coral Princess during normal operations from Victoria, British Columbia, through the Panama Canal, to Fort Lauderdale, Florida. Trials were designed to assist the maritime industry in the deployment of effective BWT systems and to inform regulatory agencies on the feasibility of testing procedures and end-point selection for compliance standards. Results showed treatment efficacy at least equivalent to ballast water exchange, although adjustment of current published standards was indicated.


2017 ◽  
Vol 73 ◽  
pp. 339-347 ◽  
Author(s):  
Ewa Kmiecik ◽  
Barbara Tomaszewska ◽  
Katarzyna Wątor ◽  
Michał Bodzek ◽  
Mariola Rajca ◽  
...  

2009 ◽  
Vol 2009 (1) ◽  
pp. 1436-1454
Author(s):  
C. R. Taylor ◽  
P. B. Hook ◽  
C. A. Zabinski ◽  
O.R. Stein

2017 ◽  
Vol 73 ◽  
pp. 1-10 ◽  
Author(s):  
Barbara Tomaszewska ◽  
Mariola Rajca ◽  
Ewa Kmiecik ◽  
Michał Bodzek ◽  
Wiesław Bujakowski ◽  
...  

2019 ◽  
Vol 8 (3) ◽  
pp. 20-42
Author(s):  
Sudipa Choudhury ◽  
Apu Kumar Saha

Water treatment plants (WTPs) are responsible for ensuring supply of healthy water to urban and rural consumers for drinking and other related purposes. But the arbitrary selection of a location for installation or relocation of WTPs often fails the purpose of the plant. Presently studies in location selection for water treatment plant are rare. Multi-criteria decision making (MCDM) methods and bagged polynomial neural networks (PNN) were found to be exemplary and easy to use tools for prediction, simulation and optimization of decision-making objectives. The present study tries to apply the advantages of MCDM and bagged PNNs in the identification of an ideal location for a surface water treatment plant. The most significant parameter is found to be WQI which represents the overall quality of water suitable for domestic use. The PNN models were developed with all the selected eight alternatives as input and output. The algorithms like GMDH, SFS, SMS, and QC were used to estimate the weight of connections in between the input and hidden; and hidden and output layers separately for each segment. The application of these two soft computation tools provides an opportunity to the decision maker in the selection of optimal location with the help of an objective and cognitive method.


2008 ◽  
Vol 6 (4) ◽  
pp. 483-489 ◽  
Author(s):  
Andre Steele ◽  
Brian Clarke

There is currently limited public information available concerning methods for the selection of appropriate water treatment technologies for application in acute phase emergency water and sanitation responses. Considering the number of available emergency water treatment and supply options, it is speculated that a framework methodology offering guidance in the form of a selection process would offer advantages. This process would relate a defined set of emergency factors to a selection of available water treatment and supply options, described by a basic, but complete, set of technical and operational characteristics. It is suggested that, whilst not a complete process, the proposed framework methodology is sufficient to lead to the identification and selection of appropriate options for deployment. Furthermore the support of critical decision making by a logical framework, could help shape and justify the actions of agencies and workers in the field.


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