Spatiotemporal characteristics and driving factors of water transparency in the South Yellow Sea

Ye Han; Shi Yueshuang; Liang Hanwei; Mao Ying; Zhou Zhenyu; Zheng Xiurui; Wang Shengqiang; Sun Deyong

doi:10.12284/hyxb2022019

Volume 44 Issue 3

Mar. 2022

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Ye Han，Shi Yueshuang，Liang Hanwei, et al. 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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Spatiotemporal characteristics and driving factors of water transparency in the South Yellow Sea

doi: 10.12284/hyxb2022019

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

Received Date: 2021-03-01
Rev Recd Date: 2021-07-27
Publish Date: 2022-03-18

Abstract

Abstract

Water transparency (Z_sd) is an important optical parameter for evaluating water quality. This paper tuned a remote sensing model for estimating Z_sd 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 Z_sd 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 Z_sd 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 Z_sd levels are generally high in the offshore but low in the coastal area. Meanwhile, Z_sd indicates high values in summer but low values in winter. In the past 20 years, Z_sd in the central South Yellow Sea, the southern South Yellow Sea and the Changjiang River Estuary showed slowly increase trends, while Z_sd in the Jiangsu coast was decreasing slowly. In general, the Z_sd 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 Z_sd, while wind speed has negative driving effect.
- water transparency,
- MODIS data,
- South Yellow Sea,
- spatiotemporal variations,
- driving factors

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References

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