Forecasting of oil-spill trajectories by using SCHISM and X-band radar

Chi Min Chiu, Ching Jer Huang, Li Chung Wu, Yinglong Joseph Zhang, Laurence Zsu Hsin Chuang, Yangming Fan, Hao Cheng Yu

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)566-581
Number of pages16
JournalMarine Pollution Bulletin
Publication statusPublished - 2018 Dec

All Science Journal Classification (ASJC) codes

  • Oceanography
  • Aquatic Science
  • Pollution

Fingerprint Dive into the research topics of 'Forecasting of oil-spill trajectories by using SCHISM and X-band radar'. Together they form a unique fingerprint.

Cite this