海洋科学2017，Vol.41Issue(5)：80-84,5.DOI:10.11759/hykx20160922003
基于MODIS数据的2016年黄海绿潮灾害动态监测研究
Spatial and temporal distribution characteristic of green tides in the Yellow Sea in 2016 based on MODIS data
摘要
Abstract
This paper analyses the errors of the Green Tides monitoring results from MODIS data with high resolu-tion GF-1 WFV satellite images based on the assumption that pixels of GF-1 WFV data are pure. On this basis, continuous and dynamic monitoring of the Green Tides of the Yellow Sea in 2016 were performed. The results show that the total error of the monitoring results using MODIS data is higher than 50％; the Green Tide moved north-wards first, then moved in the northeast direction along the coastline of Shandong Peninsula, and finally was stranded in the sea areas near Qingdao and Weihai in 2016; Green Tides lasted around 80 days at this time, and showed a regularity similar to that of previous years, that is, it first appeared, developed and exploded, then was disposed, and finally disappeared. In detail, it appeared on May 12, it developed in mid- to late-May, at which pe-riod the main body of the Green Tide was distributed in muddy water in Subei Shoal, and began to explode in late May and early June after entering clear water. Based on these aspects, the macroalgal blooms caused by Ulva prolifera in 2016 were very serious and had huge impacts on the coastal aquaculture and tourism industry of Shandong Province.关键词
MODIS/绿潮/GF-1/验证/动态监测Key words
MODIS/Green Tides/GF-1/error analysis/dynamic monitoring分类
资源环境引用本文复制引用
徐福祥,高志强,郑翔宇,宁吉才,宋德彬..基于MODIS数据的2016年黄海绿潮灾害动态监测研究[J].海洋科学,2017,41(5):80-84,5.基金项目
青岛海洋科学与技术国家实验室鳌山科技创新计划项目(2016ASKJ02) （2016ASKJ02）
中国科学院重点部署项目(KZZD-EW-14) （KZZD-EW-14）
中国科学院战略性先导科技专项(A 类)(XDA11020000) （A 类）
科技部基础支撑项目(2014FY210600) （2014FY210600）
中国科学院烟台海岸带所人才引进项目 Aoshan Science and Technology Innovation Program of Qingdao National Laboratory for Marine Science and Technology, No. 2016ASKJ02 （）
Key Program of the Chinese Academy of Sciences, No.KZZD-EW-14 （）
Strategic priority Research Program of the Chinese Academy of Sciences, No.XDA11020000 （）
Basic Special Program of Min-istry of Science and Technology, No.2014FY210600 （）
Talent Fund of Yan-tai Institute of Coastal Zone Research （）
