Literature DB >> 28291615

Seasonal patterns of water quality and phytoplankton dynamics in surface waters in Guangzhou and Foshan, China.

Yanggui Xu1, Adela Jing Li1, Junhao Qin1, Qi Li1, Jonathan G Ho2, Huashou Li3.   

Abstract

During 2015, we studied the temporal patterns of nutrient concentrations and turbidity in water bodies with different degrees of agricultural and urban pressures across Guangzhou and Foshan (China). Data and observations were made by trained citizen scientists and professional researchers. Our study shows that all monitored water bodies, with the exception of Qiandeng Lake and Fengjiang River, had elevated NO3--N concentrations, which ranged from 0.10 to 6.83mg/L and peaked in late winter and early spring and reached a minimum in summer and mid-autumn. PO43-P concentrations ranged from 0.01 to 0.25mg/L and peaked during the winter, late-summer and late autumn. Turbidity values were highest at sites with agricultural activities, with maximums in the late winter and autumn, and the highest frequency (16% and 25%) of algae presence occurred in the spring and autumn. To better understand the characteristics and drivers of the algae occurrences, measurements of phytoplankton composition and physicochemical characteristics were conducted in three key seasons in the agricultural process, fallow, sowing and rainy season in 2016. Our focused study found that the occurrence of Bacillariophyta, Euglenophyta, Xanthophyta, Cryptophyta, Chrysophyta were positively correlated with dissolved oxygen and phosphorus concentrations, while Chlorophyta and Cyanophyta had positive correlations with turbidity, oxygen demand and nitrogen concentrations. Bacillariophyceae counted for the highest proportion of phytoplankton during the fallow season, comprising up to 60+% of the phytoplankton among the sites. During the rainy season, Chlorophyceae species were the majority, comprising up to 90+% of phytoplankton among the sampled sites. Our results pointed to the complexity of nutrient and phytoplankton dynamics in water bodies under multiple pressures, and to the value of using citizen scientists to determine contextual information to benefit more focused studies.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Citizen scientists; Eutrophication; Phytoplankton; Seasonal variation

Mesh:

Substances:

Year:  2017        PMID: 28291615     DOI: 10.1016/j.scitotenv.2017.02.032

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

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3.  Geographical Patterns of Algal Communities Associated with Different Urban Lakes in China.

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4.  Mechanism Underlying Flow Velocity and Its Corresponding Influence on the Growth of Euglena gracilis, a Dominant Bloom Species in Reservoirs.

Authors:  Yi Tan; Jia Li; Linglei Zhang; Min Chen; Yaowen Zhang; Ruidong An
Journal:  Int J Environ Res Public Health       Date:  2019-11-22       Impact factor: 3.390

5.  Evaluation of water quality based on a machine learning algorithm and water quality index for the Ebinur Lake Watershed, China.

Authors:  Xiaoping Wang; Fei Zhang; Jianli Ding
Journal:  Sci Rep       Date:  2017-10-09       Impact factor: 4.379

  5 in total

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