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A Study on the Development of Performance Evaluation Method for the Stormwater Treatment Wetland  

Kim, Young Ryun (Marine Eco-technology Institute)
Kim, Sang Dan (Department of Environmental Engineering, Pukyong National University)
Lee, Suk Mo (Department of Ecological Engineering, Pukyong National University)
Sung, Kijun (Department of Ecological Engineering, Pukyong National University)
Song, Kyo Ook (Busan Development Institute)
Son, Min Ho (Marine Eco-technology Institute)
Publication Information
Journal of Korean Society on Water Environment / v.29, no.3, 2013 , pp. 354-364 More about this Journal
Abstract
The performance of the stormwater wetlands can be significantly influenced by antecedent stormwater in storage at the commencement of a stormevent. As inflows are intermittent and stochastic in nature, the evaluation of the treatment efficiency of a stormwater wetland should be considered by runoff capture and water treatment characteristics during interevent periods. In this study, analytical probabilistic model is applied to identity runoff capture rate and treatment efficiency of the stormwater wetland. To achieve this, continuous rainfall data recorded in Busan for 31 years has been analyzed to derive the runoff capture rate, and 1st order kinetic decay constants ($k_V$, 1/d) are calculated from regression analysis to identify pollutants removal during interevent periods. The results show that about 60.9% of annual average runoff is captured through the stormwater wetland. The annual average treatment efficiencies of SS, BOD, COD, TN and TP is about 11.4, 8.9, 9.8, 4.3 and 9.6%, respectively. The analytical model has been compared with the numerical model and it shows that analytical model is valid. Performance evaluation methods developed in this study has the advantages of considering characteristics of rainfall-runoff, facility type and pollutant removal.
Keywords
Anaytical probabilistic model; k-C model; Non-point pollution control; Stormwater capture; Stormwater wetland performance;
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