Xing, QG
; An, DY; Zheng, XY; Wei, ZN; Wang, XH; Li, L; Tian, LQ; Chen, J发表期刊REMOTE SENSING OF ENVIRONMENT
ISSN0034-4257
2019-09-15
卷号231页码:UNSP 111279
关键词Multi-sensor observationMarine hazardFloating algaeHuman activitySeaweed cultivationThe Yellow Sea
研究领域Environmental Sciences; Remote Sensing; Imaging Science & Photographic Technology
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
通讯作者Xing, Qianguo(qgxing@yia.c.cn)
作者部门海岸带信息集成与综合管理实验室
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.
文章类型Article
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]
收录类别SCI
语种英语
关键词[WOS]EAST CHINA SEA; ULVA-PROLIFERA; GREEN TIDE; EXPANSION; GROWTH; ALGAE
研究领域[WOS]Environmental Sciences; Remote Sensing; Imaging Science & Photographic Technology
WOS记录号WOS:000484643900054
引用统计被引频次：32[WOS][WOS记录][WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cnhttp://ir.yic.ac.cn/handle/133337/24859
专题中科院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
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, Yantai Inst Coastal Zone Res, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai, Peoples R China;
2.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao, Shandong, Peoples R China;
3.Univ Chinese Acad Sci, Beijing, Peoples R China;
4.Wuhan Univ, Wuhan, Hubei, Peoples R China;
5.Xi An Jiao Tong Univ, Xian, Shaanxi, Peoples R China
6.Wuhan Univ, Wuhan, Hubei, Peoples R China
推荐引用方式
GB/T 7714Xing, 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.
APAXing, 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.
MLAXing, 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.
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