Literature DB >> 27491363

Seasonal and spatial variations of water quality and trophic status in Daya Bay, South China Sea.

Mei-Lin Wu1, You-Shao Wang2, Yu-Tu Wang2, Fu-Lin Sun2, Cui-Ci Sun2, Hao Cheng3, Jun-De Dong3.   

Abstract

Coastal water quality and trophic status are subject to intensive environmental stress induced by human activities and climate change. Quarterly cruises were conducted to identify environmental characteristics in Daya Bay in 2013. Water quality is spatially and temporally dynamic in the bay. Cluster analysis (CA) groups 12 monitoring stations into two clusters. Cluster I consists of stations (S1, S2, S4-S7, S9, and S12) located in the central, eastern, and southern parts of the bay, representing less polluted regions. Cluster II includes stations (S3, S8, S10, and S11) located in the western and northern parts of the bay, indicating the highly polluted regions receiving a high amount of wastewater and freshwater discharge. Principal component analysis (PCA) identified that water quality experience seasonal change (summer, winter, and spring-autumn seasons) because of two monsoons in the study area. Eutrophication in the bay is graded as high by Assessment of Estuarine Trophic Status (ASSETS).
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Assessment of Estuarine Trophic Status; Ecosystem management; Eutrophication; Multivariate statistical analyses; Nutrients; Water quality

Mesh:

Year:  2016        PMID: 27491363     DOI: 10.1016/j.marpolbul.2016.07.042

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  3 in total

1.  A Keyword Approach to Finding Common Ground in Community-Based Definitions of Human Well-Being.

Authors:  R S Fulford; I Krauss; S Yee; M Russell
Journal:  Hum Ecol       Date:  2017-12-01

2.  Effect of temperature on the accumulation of marine biogenic gels in the surface microlayer near the outlet of nuclear power plants and adjacent areas in the Daya Bay, China.

Authors:  Wei-Zhong Yue; Cui-Ci Sun; Ping Shi; Anja Engel; You-Shao Wang; Wei-Hong He
Journal:  PLoS One       Date:  2018-06-11       Impact factor: 3.240

3.  Analyses on the Temporal and Spatial Characteristics of Water Quality in a Seagoing River Using Multivariate Statistical Techniques: A Case Study in the Duliujian River, China.

Authors:  Xuewei Sun; Huayong Zhang; Meifang Zhong; Zhongyu Wang; Xiaoqian Liang; Tousheng Huang; Hai Huang
Journal:  Int J Environ Res Public Health       Date:  2019-03-20       Impact factor: 3.390

  3 in total

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