Coastal water quality of Saemangeum tidal lake using ROMS-ICM

Title
Coastal water quality of Saemangeum tidal lake using ROMS-ICM
Author(s)
임학수; 김창식; 박광순; 양재삼; 전인식
KIOST Author(s)
Lim, Hak Soo(임학수)
Alternative Author(s)
임학수; 김창식; 박광순
Publication Year
2012-06-01
Abstract
We have conducted the three-dimensional water quality model ROMS-ICM for the coastal water quality of Saemangeum tidal lake. The model ROMS-ICM consists of hydrodynamic model of ROMS and eutrophication model of CE-QUAL-ICM. The ROMS in structured grid has been linked with the unstructured CE-QUAL-ICM model by using the external linkage codes which have more flexibility on computational resource and efficiency for the coupling of ROMS-ICM. The ROMS-ICM has been tested for the seasonal validation of state variables by applying to the Saemangeum tidal lake and coastal waters. The model performance has been calibrated with observed field data of water quality parameters such as temperature, salinity, chlorophyll, dissolved oxygen, phosphorus, nitrogen. The data have been collected at more than 21 points in the tidal lake and coastal waters at every month in 2009 and 2010. The calibration and validation results show a promising tool for understanding of existing condition and for predicting the future condition of the water quality in Saemangeum tidal lake and coastal waters. The major loadings of nutrients from river flows, submarine ground waters and controlling points at seawater gates of the tidal lake in 2010 allow us to estimate the annual cycle of state variables reproducing the process of ground water dispersal and its effect on water quality of Saemangeum tidal lake. In this study, westructured grid has been linked with the unstructured CE-QUAL-ICM model by using the external linkage codes which have more flexibility on computational resource and efficiency for the coupling of ROMS-ICM. The ROMS-ICM has been tested for the seasonal validation of state variables by applying to the Saemangeum tidal lake and coastal waters. The model performance has been calibrated with observed field data of water quality parameters such as temperature, salinity, chlorophyll, dissolved oxygen, phosphorus, nitrogen. The data have been colle
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/27699
Bibliographic Citation
한국해양과학기술공동학술대회, pp.149, 2012
Publisher
한국해양과학기술협의회
Type
Conference
Language
English
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