| Title |
Operational Water Quality Forecast for the Yeongsan River Using EFDC Model |
| Authors |
신창민 ( Chang Min Shin ) ; 민중혁 ( Joong-hyuk Min ) ; 박수영 ( Su Young Park ) ; 최정규 ( Jungkyu Choi ) ; 박종환 ( Jong Hwan Park ) ; 송용식 ( Young Sik Song ) ; 김경현 ( Kyunghyun Kim ) |
| DOI |
https://doi.org/10.15681/KSWE.2017.33.2.219 |
| Keywords |
Chlorophyll-a; EFDC; Forecast; HSPF; Yeongsan; Weir |
| Abstract |
A watershed-river linked modeling system was developed to forecast the water quality, particularly weekly changes in chlorophyll-a concentration, of the Yeongsan River, Korea. Hydrological Simulation Program-Fortran (HSPF) and Environ mental Fluid Dynamics Code (EFDC) were adopted as the basic model framework. In this study, the EFDC model was modified to effectively simulate the operational condition and the flow of multi-functional weirs constructed in the main channel of rivers. The model was tested against hydrologic, water quality and algal data collected at the right upstream sites of two weirs in 2014. The mean absolute errors (MAEs) related to model calibration in the annual variations of the river stage, TN, TP, and algal concentration were 0.03 - 0.10 m, 0.65 - 0.67 mg/L, 0.03 - 0.04 mg/L, and 9.7 - 10.8 mg/m3, respectively. On the other hand, the MAE values of forecasting results for the chlorophyll-a level at the same sites in 2015 ranged from 18.7 to 22.4 mg/m3, which were higher than those for model calibration. Increased errors in forecasting were mainly attributed to higher uncertainties in weather forecasting data compared to the observed data used for model calibration. |