Development of a red tide early warning system for fisheries management
Project Description

In sub-tropical coastal waters around Hong Kong and the South China Sea, harmful algal blooms (HAB) and red tides are often observed. Under the right environmental conditions, microscopic phytoplankton (algae) can grow explosively within a short time and cause discoloration of the water, fish kills and beach closures. Large scale massive HAB events occurred in Spring 1998 and more recently in Winter 2015 lasted for months and caused extensive damage to the local fisheries industry. The objective of this study is to develop short term red tide forecast models using real time data and drone-based imaging technology to map the location and spatial coverage of red tides.

Supervisor
CHAN Shu Ning
Co-Supervisor
LEE Joseph Hun-wei
Quota
2
Course type
UROP1100
UROP2100
UROP3100
UROP4100
Applicant's Roles

Students will participate in field work and assist in data analysis.

Applicant's Learning Objectives

Students will gain a deeper understanding on the environmental problem of red tide in Hong Kong.

Complexity of the project
Moderate