The Prediction of Water Quality in Ulsan Area Using Material Cycle Model

J. Ocean Eng. Technol. 2006;20(1):55-62.

SHIN BUM-SHICK;KIM KYU-HAN;PYUN CHONG-KUN;

Division of Civil and Environmental Engineering, Kwandong University;Division of Civil and Environmental Engineering, Kwandong University;Civil and Environmental Engineering, Myongji University;

물질순환모델을 이용한 울산해역의 수질예측

신범식;김규한;편종근;

관동대학교 공과대학 토목환경학부;관동대학교 공과대학 토목환경학부;명지대학교 토목환경공학과;

Keywords: Material cycle Model, Three Dimensional Hydrodynamic Model, Water Quality, Eutrophication Index

핵심용어: 물질순환모델, 3차원 해수유동모델, 수질, 부영양화지수

Abstract

Recently, pollution by development in coastal areas is going from bad to worse. The Korean government is attempting to make policies that prevent water pollution, but it is still difficult to say whether such measures are lowering pollution to an acceptable level. More specifically, the general investigation that has been done in KOREA does not accurately reflect the actual conditions of pollution in coastal areas. An investigation that quantitatively assesses water quality management using rational prediction technology must be attempted, and the ecosystem model, which incorporates both the 3-dimensional hydrodynamic and material cycle models, is the only one with a broad enough scope to obtain accurate results. The hydrodynamic model, which includes advection and diffusion, accounts for the ever-changing flow and (quality) of water in coastal areas, while the material cycle model accounts for pollutants and components of decomposition as sources of the carbon, phosphorus, and nitrogen cycles. In this paper, we simulated the rates of dissolved oxygen (DO), chemical oxygen demand (COD), total nitrogen(T-N) and total-phosphorous(T-P) in Korea's Ulsan Area. Using the ecosystem model, we did simulations using a specific set of parameters and did comparative analysis to determine those most appropriate for the actual environmental characteristics of Ulsan Area. The simulation was successful, making it now possible to predict the likelihood of coastal construction projects causing ecological damage, such as eutrophication and red tide. Our model can also be used in the environmental impact assessment (EIA) of future development projects in the ocean.