Optimal location selection for LNG terminal considering marine impact of cold discharge: A case study of Tongyeong LNG terminal

被引：1

作者：

Park, Seongsik ^{[1
]}

Yoon, Seokjin ^{[2
]}

Kim, Kyunghoi ^{[1
]}

机构：

[1] Pukyong Natl Univ, Dept Ocean Engn, 45 Yongso Ro, Busan 48513, South Korea

[2] Natl Inst Fisheries Sci, Dokdo Fisheries Res Ctr, Pohang 37709, South Korea

来源：

ESTUARINE COASTAL AND SHELF SCIENCE | 2023年 / 290卷

基金：

新加坡国家研究基金会;

关键词：

Cold discharge; Environmental impact assessment; Princeton ocean model; Gaussian process regression; Potential energy anomaly; South Korea; Changwon; Jinhae Bay; STRATIFICATION; CIRCULATION; MODEL;

D O I：

10.1016/j.ecss.2023.108416

中图分类号：

Q17 [水生生物学];

学科分类号：

071004 ;

摘要：

The impact of cold discharge (CD) released from Tongyeong LNG terminal was evaluated at different flow rates. At the actual flow rate of 10 m3 s-1, the impact of CD on surrounding seawaters was insignificant with a slight decrease in seawater temperature. The surface and bottom seawater temperature within a 1 km radius from the discharge outlet decreased by an average of 0.4 & DEG;C and 0.6 & DEG;C, respectively. At a simulation flow rate of 500 m3 s-1, CD settled to the bottom and widely diffused. The seawater temperature within a 1 km radius from the discharge outlet decreased by an average of 3.1 & DEG;C and 5.2 & DEG;C in the surface and bottom layers, respectively. A machine learning-based model was trained to estimate the diffusion area of CD using physical factors at the outlet as predictors. The trained model could identify not only the optimal sites of the LNG terminal to minimize the impact of CD on the surrounding seawaters but also worst-case site. This CD modeling process could enable low-cost impact assessments on seawaters, and the same process could be used for thermal discharge.

引用

页数：9

共 39 条

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