Please use this identifier to cite or link to this item: http://hdl.handle.net/10497/18962
Title: 
Mathematical modeling of effluent quality of Cha-Am municipality wastewater treatment pond system using PCSWMM
Authors: 
Issue Date: 
2017
Citation: 
Bhowmick, A., Irvine, K. N., & Jindal, R. (2017). Mathematical modeling of effluent quality of Cha-Am municipality wastewater treatment pond system using PCSWMM. Journal of Water Management Modeling, 25:C423. https://doi.org/10.14796/JWMM.C423
Abstract: 
Water quality around Cha-Am, Thailand is of prime concern because of its extensive oceanfront beach area. Cha-Am uses an aerated
lagoon system consisting of three ponds and a natural wetland to treat the municipal wastewater. A personal computer version of
the storm water management model, PCSWMM, was used to simulate the effluent quality of the treatment system. Water quality
samplings for total suspended solids (TSS), total Kjeldahl nitrogen (TKN), Escherichia coli (E. coli), chemical oxygen demand (COD), as
well as evaporation measurements, were conducted on a bi-weekly basis for three months to calibrate the model. The four ponds
were considered as four storage zones in the model. Based on the observed water quality data distribution, Monte Carlo simulation
was used (1 000 iterations, 20 times) to get the most probable input concentration for each pond to determine the appropriate treatment
fractions for the model. Data on daily inflow rates, pump operation and bathymetric survey also were obtained from the system
operator as model input. The dynamic wave method was used with observed inflow rates to generate a continuous water quality
simulation from 2015-07-19 to 2015-09-12. Observed mean treatment efficiency was 51.9%, 77.3%, 99.6% and 9.4% for TSS, TKN, E.
coli and COD respectively. Observed concentrations at the outlet ranged between, 10 mg/L to 25.5 mg/L, 0.98 mg/L to 3.92 mg/L, 0.1
CFU/100 mL to 260 CFU/100 ml and 48 mg/L to 119 mg/L for TSS, TKN, E. coli and COD respectively. The treatment fraction approach
in PCSWWM was able to accurately represent the outlet concentrations of TSS, TKN, E. coli and COD.
URI: 
ISSN: 
2292-6062
Appears in Collections:Journal Articles

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