Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Monitoring multi-temporal and spatial variations of water transparency in the Jiaozhou Bay using GOCI data

Zhou, Yan, Yu, Dingfeng, Cheng, Wentao, Gai, Yingying, Yao, Huiping, Yang, Lei and Pan, Shunqi 2022. Monitoring multi-temporal and spatial variations of water transparency in the Jiaozhou Bay using GOCI data. Marine Pollution Bulletin 180 , 113815. 10.1016/j.marpolbul.2022.113815

[thumbnail of 1-s2.0-S0025326X22004970-main.pdf] PDF - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (15MB)

Abstract

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.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Elsevier
ISSN: 0025-326X
Date of First Compliant Deposit: 15 June 2022
Date of Acceptance: 30 May 2022
Last Modified: 15 Jun 2022 10:45
URI: https://orca.cardiff.ac.uk/id/eprint/150426

Citation Data

Cited 1 time in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics