DocumentCode :
3302721
Title :
Uncertainty and sensitivity analysis of dilution processes for marine discharges
Author :
Yalcin, Ozgur Bulent ; Muhammetoglu, Ayse
Author_Institution :
Environ. Eng. Dept., Akdeniz Univ., Antalya, Turkey
fYear :
2010
fDate :
2-4 Nov. 2010
Firstpage :
184
Lastpage :
189
Abstract :
Sea outfall systems are cost-effective solutions for final disposal of the wastewaters generated in coastal areas. Main design parameters of an outfall system are flow rate, initial bacteria concentration of the effluent, time required for 90% reduction of bacteria (T90), ambient currents, discharge depth and outfall length. Discharge depth and outfall length are certain parameters whereas the other parameters are usually uncertain due to their dynamic features. These parameters could be described using probabilistic approaches. In this study, uncertainty analysis has been carried out using Monte Carlo Simulation for Antalya Sea Outfall System to obtain probabilistic bacteria concentrations at recreational areas. Additionally, sensitivity analysis has also been performed to evaluate correlations of input parameters. The estimated total coliform concentrations were below 565 and 844 cfu/100 ml with 95% probability in winter and summer seasons respectively, with dominant currents and 2500 meters away from the diffuser. The most sensitive parameter on coliform concentration was current velocity for winter and initial coliform concentration of the effluent for summer season. The obtained results are evaluated for their compliance with the recreational water quality standards.
Keywords :
Monte Carlo methods; effluents; marine pollution; microorganisms; sensitivity analysis; waste disposal; wastewater; water quality; Antalya sea outfall system; Monte Carlo simulation; bacteria concentration; coastal areas; dilution processes; effluent; marine discharges; sensitivity analysis; wastewater disposal; water quality; Correlation; Radiometry; Antalya; Monte Carlo Simulation; dilution; sea outfall; sensitivity analysis; uncertainty analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Chemical, Biological and Environmental Engineering (ICBEE), 2010 2nd International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-8748-6
Electronic_ISBN :
978-1-4244-8749-3
Type :
conf
DOI :
10.1109/ICBEE.2010.5649679
Filename :
5649679
Link To Document :
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