TY - JOUR
T1 - Forecasting of oil-spill trajectories by using SCHISM and X-band radar
AU - Chiu, Chi Min
AU - Huang, Ching Jer
AU - Wu, Li Chung
AU - Zhang, Yinglong Joseph
AU - Chuang, Laurence Zsu Hsin
AU - Fan, Yangming
AU - Yu, Hao Cheng
PY - 2018/12
Y1 - 2018/12
N2 - In this study, we propose a two-step strategy for tracking oil-spill trajectories. First, an X-band radar is established to monitor oil spills. Accordingly, we propose a radar image-processing technique for identifying the oil slicks from the nautical radar images. Second, we apply the SCHISM to determine the water surface elevations and currents at the event site and obtain the trajectories of the oil slicks using a Lagrangian particle-tracking method incorporated in the SCHISM. An oil-spill event caused by the container ship T. S. Taipei is used as a case study for testing the capability of the proposed oil-tracking strategy. The SCHISM simulation results for the fouled coastline obtained using the wind data from a nearby data buoy agree quite well with those obtained from field observations. However, the predicted fouled coastline based on the forecasted wind data is unsatisfactory. The reasons for the unsatisfactory prediction are discussed and revealed.
AB - In this study, we propose a two-step strategy for tracking oil-spill trajectories. First, an X-band radar is established to monitor oil spills. Accordingly, we propose a radar image-processing technique for identifying the oil slicks from the nautical radar images. Second, we apply the SCHISM to determine the water surface elevations and currents at the event site and obtain the trajectories of the oil slicks using a Lagrangian particle-tracking method incorporated in the SCHISM. An oil-spill event caused by the container ship T. S. Taipei is used as a case study for testing the capability of the proposed oil-tracking strategy. The SCHISM simulation results for the fouled coastline obtained using the wind data from a nearby data buoy agree quite well with those obtained from field observations. However, the predicted fouled coastline based on the forecasted wind data is unsatisfactory. The reasons for the unsatisfactory prediction are discussed and revealed.
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U2 - 10.1016/j.marpolbul.2018.10.060
DO - 10.1016/j.marpolbul.2018.10.060
M3 - Article
C2 - 30503470
AN - SCOPUS:85056212489
VL - 137
SP - 566
EP - 581
JO - Marine Pollution Bulletin
JF - Marine Pollution Bulletin
SN - 0025-326X
ER -