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author:

Chen, Yunzhi (Chen, Yunzhi.) [1] (Scholars:陈芸芝) | Wang, Yushuang (Wang, Yushuang.) [2] | Xie, Tingting (Xie, Tingting.) [3] | Zhang, Minghui (Zhang, Minghui.) [4]

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Abstract:

Using Landsat 8 OLI, GF-1, GF-2 and ALOS satellite images, the distribution of aquaculture in 2010-2018 in Sansha Bay were extracted through SVM and the spatial and temporal changes of aquaculture area were detected. Next, analyze the impact of the spatial changes on local water quality which was evaluated by CChl-a, CCOD, CDIP, CDIN. The results show that:(1). During 2010-2018, the area of cage culture remained stable while the algae culture's area has grown every year expect 2017 affected by algae growth time. (2). In 2010-2014, the algae culture was transferred from the western port area to the northeastern Dongwu Ocean and then move to the central sea area in the next three years. In 2017-2018, removal of large-scale culture from non-cultivation area of the central sea. (3). The distribution of culture is proportional to the concentration of Chl-a and COD, and CChl-a of algae aquaculture area is higher than that of cage area. © 2019 IEEE.

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  • [ 1 ] [Chen, Yunzhi]Fuzhou University, Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, National and Local Joint Engineering Research Center of Satellite Geospatial Information Technology, China
  • [ 2 ] [Wang, Yushuang]Fuzhou University, Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, National and Local Joint Engineering Research Center of Satellite Geospatial Information Technology, China
  • [ 3 ] [Xie, Tingting]Fuzhou University, Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, National and Local Joint Engineering Research Center of Satellite Geospatial Information Technology, China
  • [ 4 ] [Zhang, Minghui]Fuzhou University, Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, National and Local Joint Engineering Research Center of Satellite Geospatial Information Technology, China

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Year: 2019

Page: 8264-8267

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 1

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