Symposium on Ocean Circulation, Ecosystem, HypoxiA and CoNsequences (OCEAN)
Coastal eutrophication and hypoxia have been a global environmental issue for decades, yet their persistence reflects the scientific and socio-economic complexities involved in alleviating the problem. The eutrophication is caused by excessive nutrient loading which stimulates phytoplankton blooms when physical, chemical, and biological conditions are favorable. It may lead to harmful algal blooms (HABs) and bottom hypoxia, both of which threaten the ecosystem. The eutrophication and hypoxia are interactively controlled by the coupled physical-biogeochemical processes. This symposium is to provide a platform for the high-level scientific discussion regarding to eutrophication and hypoxia in the ocean. We aim to advance full-spectrum understanding of physical, biogeochemical, and pollution processes that control the eutrophication and hypoxia. We emphasize interdisciplinary study with world-class methodology and multi-scale perspective of ocean in the linked river-estuary-shelf-basin system.
This symposium is organized by the Theme-based Research Scheme project, titled “Diagnosis and prognosis of intensifying eutrophication, hypoxia and the ecosystem consequences around Hong Kong waters: coupled physical-biogeochemical-pollution studies” (OCEAN_HK, https://ocean.ust.hk), and co-organized by National Science Foundation of China (NSFC). The OCEAN_HK project is funded by Research Grants Council of Hong Kong. The goal of OCEAN_HK is to identify the process and mechanism that lead to the increasing eutrophication and hypoxia in ocean, and to provide analytical tools and a scientifically-based strategy for stabilizing or even reversing eutrophication and hypoxia and for ensuring the overall sustainability of the marine environment in the ocean.
Date: Feb. 23-25, 2017
Venue: Lecture Theatre, Institute of Advanced Study, Hong Kong University of Science and Technology
Prof. Jianping Gan, Hong Kong University of Science and Technology
Prof. Minhan Dai, Xiamen University
Prof. Paul K. S. Lam, City University of Hong Kong
Prof. Hongbin Liu, Hong Kong University of Science and Technology
Organized by OCEAN_HK Theme-based Research Scheme of Hong Kong Research Grant Council (RGC) and National Science Foundation of China.
Sponsored by K. C. Wong Education Foundation, School of Science, and Institute of Advanced Study of Hong Kong University of Science and Technology