中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 烟台海岸带研究所
  3. 中国科学院烟台海岸带研究所
  4. 中科院海岸带环境过程与生态修复重点实验室
  5. 海岸带信息集成与综合管理实验室
Monitoring seaweed aquaculture in the Yellow Sea with multiple sensors for managing the disaster of macroalgal blooms

文献类型：期刊论文

作者Xing, QG; An, DY; Zheng, XY; Wei, ZN; Wang, XH; Li, L; Tian, LQ; Chen, J
刊名REMOTE SENSING OF ENVIRONMENT
出版日期2019-09-15
卷号231页码:UNSP 111279
ISSN号0034-4257
关键词Multi-sensor observation Marine hazard Floating algae Human activity Seaweed cultivation The Yellow Sea
DOI10.1016/j.rse.2019.111279
产权排序[Xing, Qianguo ; An, Deyu ; Zheng, Xiangyang ; Wei, Zhenning ; Wang, Xinhua ; Li, Lin] Chinese Acad Sci, Yantai Inst Coastal Zone Res, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai, Peoples R China ; [Xing, Qianguo ; An, Deyu ; Zheng, Xiangyang ; Wei, Zhenning ; Wang, Xinhua ; Li, Lin] Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao, Shandong, Peoples R China ; [Xing, Qianguo ; An, Deyu ; Zheng, Xiangyang ; Wei, Zhenning ; Wang, Xinhua ; Li, Lin] Univ Chinese Acad Sci, Beijing, Peoples R China ; [Tian, Liqiao] Wuhan Univ, Wuhan, Hubei, Peoples R China ; [Chen, Jun] Xi An Jiao Tong Univ, Xian, Shaanxi, Peoples R China
文献子类Article
英文摘要Multi-sensor remote sensing is a critical part of the surveillance of coastal ocean for hazard management. The world's largest green macroalgae blooms (green tide) in the Yellow Sea since 2007 are caused by the macroalgae of Ulva, which are disposed as biofoulings into sea water when workers recycle seaweed (Porphyra) farming facilities. We traced the development processes of seaweed cultivation in which area since 2000 and the variation in macroalgal blooms since 2007 through multi-sensors (satellite, Unmanned Aerial Vehicle, and ground spectroradiometer) remote sensing in this study. We found that the sudden occurrence of large-scale green tide in 2007 and the increasing trend since that year were caused by the seaweed aquaculture in a specific mode at specific locations. A numerical simulation and satellite observations on the relationship between the timing of recycling seaweed facilities and the volume of green tide suggest that the green tide is manageable. Adoption of multi-sensor, multi-scale, and multi-temporal observations, translocating seaweed farming sites, and changing the cultivation mode are deemed as key tools for controlling the green tide and sustaining the seaweed aqua culture.
WOS关键词EAST CHINA SEA ; ULVA-PROLIFERA ; GREEN TIDE ; EXPANSION ; GROWTH ; ALGAE
WOS研究方向Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000484643900054
资助机构National Natural Science Foundation of ChinaNational Natural Science Foundation of China [41676171, 4181101363] ; Chinese Academy of Science Strategic Priority Research Programme [XDA19060203, XDA19060501] ; Qingdao National Laboratory for Marine Science and Technology of China [2016ASKJ02] ; China Agriculture Research System [CARS-50] ; ESA (EU) - MOST (China) Dragon 4 Programme [31451-6]
源URL[http://ir.yic.ac.cn/handle/133337/24859]  
专题烟台海岸带研究所_海岸带信息集成与综合管理实验室
烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
作者单位1.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao, Shandong, Peoples R China;
2.Wuhan Univ, Wuhan, Hubei, Peoples R China
3.Xi An Jiao Tong Univ, Xian, Shaanxi, Peoples R China
4.Wuhan Univ, Wuhan, Hubei, Peoples R China;
5.Univ Chinese Acad Sci, Beijing, Peoples R China;
6.Chinese Acad Sci, Yantai Inst Coastal Zone Res, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai, Peoples R China;
推荐引用方式
GB/T 7714		 Xing, QG,An, DY,Zheng, XY,et al. Monitoring seaweed aquaculture in the Yellow Sea with multiple sensors for managing the disaster of macroalgal blooms[J]. REMOTE SENSING OF ENVIRONMENT,2019,231:UNSP 111279.
APA Xing, QG.,An, DY.,Zheng, XY.,Wei, ZN.,Wang, XH.,...&Chen, J.(2019).Monitoring seaweed aquaculture in the Yellow Sea with multiple sensors for managing the disaster of macroalgal blooms.REMOTE SENSING OF ENVIRONMENT,231,UNSP 111279.
MLA Xing, QG,et al."Monitoring seaweed aquaculture in the Yellow Sea with multiple sensors for managing the disaster of macroalgal blooms".REMOTE SENSING OF ENVIRONMENT 231(2019):UNSP 111279.

入库方式： OAI收割

来源：烟台海岸带研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。