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Spatiotemporal characteristics and driving factors of water transparency in the South Yellow Sea
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Han Ye1, Yueshuang Shi1, Hanwei Liang2, 3, Ying Mao4, Zhenyu Zhou5, Xiurui Zheng1, Shengqiang Wang1, *, Deyong Sun1
Haiyang Xuebao | 2022, 44(3) : 128 - 136
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Haiyang Xuebao | 2022, 44(3): 128-136
• Article •
Spatiotemporal characteristics and driving factors of water transparency in the South Yellow Sea
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Han Ye1, Yueshuang Shi1, Hanwei Liang2, 3, Ying Mao4, Zhenyu Zhou5, Xiurui Zheng1, Shengqiang Wang1, *, Deyong Sun1
Affiliations
  • 1. School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • 2. Key Laboratory of Coastal Zone Exploitation and Protection, Ministry of Natural Resources, Nanjing 210024, China
  • 3. School of Geographic Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • 4. Meteorological Disasters Defending Technique Centre of Fujian Province, Fuzhou 350005, China
  • 5. Changwang School of Honors, Nanjing University of Information Science & Technology, Nanjing 210044, China
Published: 2022-03-01 doi: 10.12284/hyxb2022019
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Water transparency (Zsd) is an important optical parameter for evaluating water quality. This paper tuned a remote sensing model for estimating Zsd from MODIS (moderate resolution imaging spectroradiometer) data in the South Yellow Sea. This model was then used to analyze the spatial and temporal variations of Zsd in the South Yellow Sea based long-term MODIS data in the past 20 years (2002–2020), and their driving factors were examined. The results show that the Zsd estimation model has good accuracy with R2, root mean square error and mean absolute percent error values of 0.91, 1.69 m and 25.1%, respectively. The Zsd levels are generally high in the offshore but low in the coastal area. Meanwhile, Zsd indicates high values in summer but low values in winter. In the past 20 years, Zsd in the central South Yellow Sea, the southern South Yellow Sea and the Changjiang River Estuary showed slowly increase trends, while Zsd in the Jiangsu coast was decreasing slowly. In general, the Zsd is negatively driven by the concentration of suspended particulate matter, of which the influence is the greatest. In addition, sea surface temperature and solar radiation have positive driving effects on Zsd, while wind speed has negative driving effect.

water transparency  /  MODIS data  /  South Yellow Sea  /  spatiotemporal variations  /  driving factors
Han Ye, Yueshuang Shi, Hanwei Liang, Ying Mao, Zhenyu Zhou, Xiurui Zheng, Shengqiang Wang, Deyong Sun. Spatiotemporal characteristics and driving factors of water transparency in the South Yellow Sea[J]. Haiyang Xuebao, 2022 , 44 (3) : 128 -136 . DOI: 10.12284/hyxb2022019
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Article Info
doi: 10.12284/hyxb2022019
  • Receive Date：2021-03-01
  • Online Date：2026-02-01
  • Published：2022-03-01
Article Data
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History
  • Received：2021-03-01
  • Revised：2021-07-27
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Affiliations
    1. School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China
    2. Key Laboratory of Coastal Zone Exploitation and Protection, Ministry of Natural Resources, Nanjing 210024, China
    3. School of Geographic Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China
    4. Meteorological Disasters Defending Technique Centre of Fujian Province, Fuzhou 350005, China
    5. Changwang School of Honors, Nanjing University of Information Science & Technology, Nanjing 210044, China
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红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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