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J. Ocean Eng. Technol. 2009;23(2):47-52.    

Calculating Average Residence Time Distribution Using a Particle Tracking Model
Park Sung-Eun,Hong Sok-Jin,Lee Won-Chan
Marine Environment Management Division National Fisheries Research and Development Institute,Marine Environment Management Division National Fisheries Research and Development Institute,Marine Environment Management Division National Fisheries Research
Particle Tracking Model을 이용한 평균체류시간의 공간분포 계산
박성은,홍석진,이원찬
국립수산과학원 환경관리과,국립수산과학원 환경관리과,국립수산과학원 환경관리과
© 2009 The Korean Society of Ocean Engineers     Open access / Under a Creative Commons License
Keywords: Parkticle tracking model, Average residence time, Masan Bay
핵심용어: 입자추적모델, 평균체류시간, 마산만
Abstract
A Lagrangian particle tracking model coupled with the Princeton Ocean Model were used to estimate the average residence time of coastal water in Masan Bay, Korea. Our interest in quantifying the transport time scales in Masan Bay was stimulated by the search for a mechanistic understanding of this spatial variability, which is consistent with the concept of spatially variable transport time scales. Tidal simulation was calibrated through a comparison with the results of semi-diurnal current and water elevation measured at the tidal stations of Masan, Gadeokdo. In the model simulations, particles were released in eight cases, including slack before ebb, peak ebb, slack before flood, and peak flood, during both spring and neap tides. The averaged values obtained from the particle release simulations were used for the average residence times of the coastal water in Masan Bay. The average residence times for the southeastern parts of Somodo and the Samho River, Masan Bay were estimated to be about 20~50days and 70~80days, respectively. The spatial difference for the average residence time was controlled by the tidal currents and distance from the mouth of the bay. Our results might provide useful for understanding the transport and behavior of coastal water in a bay and might be used to estimate the dissimilative capacity for environmental assessment.
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