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Tytuł:
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Monitoring multi-temporal and spatial variations of water transparency in the Jiaozhou Bay using GOCI data.
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Autorzy:
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Zhou Y; Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao 266100, China.
Yu D; Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao 266100, China; Hydro-Environmental Research Centre, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK. Electronic address: .
Cheng W; Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, China.
Gai Y; Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao 266100, China.
Yao H; College of Oceanography and Space Informatics, China University of Petroleum, Qingdao 266580, China.
Yang L; Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao 266100, China.
Pan S; Hydro-Environmental Research Centre, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK.
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Źródło:
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Marine pollution bulletin [Mar Pollut Bull] 2022 Jul; Vol. 180, pp. 113815. Date of Electronic Publication: 2022 Jun 04.
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Typ publikacji:
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Journal Article
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Język:
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English
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Imprint Name(s):
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Publication: 2003- : Oxford : Elsevier
Original Publication: London, Macmillan.
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MeSH Terms:
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Bays*
Environmental Monitoring*
China ; Humans ; Models, Theoretical ; Water ; Wind
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Contributed Indexing:
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Keywords: Coastal waters; Environmental factors; GOCI; Multiple variable linear regression; Secchi disk depth
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Substance Nomenclature:
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059QF0KO0R (Water)
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Entry Date(s):
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Date Created: 20220607 Date Completed: 20220621 Latest Revision: 20220621
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Update Code:
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20240105
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DOI:
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10.1016/j.marpolbul.2022.113815
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PMID:
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35671614
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Water transparency, commonly measured as Secchi disk depth (SDD), is essential for describing the optical properties of coastal waters. We proposed a regional linear corrected SDD estimation model based on the North Sea Mathematical Models for GOCI and the mechanical model developed by Lee et al. (2015) in the Jiaozhou Bay. Combined with the multiple variable linear regression analysis, the diurnal SDD variations of the bay inside and the bay mouth are controlled by the solar zenith angle (SZA) and tides. The bay outside mainly varies with SZA. From GOCI observations between 2011 and 2021, wind force influenced the entire area on the inner-annual SDD variations. It exhibits an increasing trend in the inter-annual dynamics, which was more stable inside the bay with an annual increase of 0.035 m, and air temperature was the most significant contribution. However, human activities cannot be ignored in causing water environment changes.
(Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.)
