Literature DB >> 21360880

[Environment effects of algae-caused black spots: driving effects on the N, P changes in the water-sediment interface].

Guo-Feng Liu1, Qiu-Shi Shen, Lei Zhang, Cheng-Xin Fan, Ji-Cheng Zhong, Shao-Hua Yan.   

Abstract

The impact and driving effect of deposited algal cells in the water-sediment interface on the N, P changes were studied through continuous extracted pore water with home-made static experiment. Results showed that dissolved oxygen in water-sediment interface was depleted in 50 min after algal cells settled. Soon the dead algal cells formed the anoxia and strong reducing environment and the dead cells had a severe anaerobic mineralization in the water-sediment interface, also the water bodies had a intense black and stink phenomenon. PO4(-3) -P, NH4(+) -N concentration in water-sediment interface increased from the 2nd day after added the algal cells to the sediment interface, and its concentration was 4.00 mg/L and 39.45 mg/L, respectively. Its concentration was the 10 fold and 241 fold higher than that the control experiments at the same time (PO4(-3) -P, NH4(+) -N concentration in control experiments was 0.42 mg/L and 0.16 mg/L, respectively). Anaerobic mineralization of dead cells in sediment surface drove the nutrients diffusing upward the overlying water, added the nutrients concentration in water bodies, and it also supplied the nutrient materials for the algal blooms happened again.

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Year:  2010        PMID: 21360880

Source DB:  PubMed          Journal:  Huan Jing Ke Xue        ISSN: 0250-3301


  2 in total

1.  Optimum dredging time for inhibition and prevention of algae-induced black blooms in Lake Taihu, China.

Authors:  Chao Chen; Ji-Cheng Zhong; Ju-Hua Yu; Qiu-Shi Shen; Cheng-Xin Fan; Fan-Xiang Kong
Journal:  Environ Sci Pollut Res Int       Date:  2016-04-12       Impact factor: 4.223

2.  Identifying the Driving Factors of Black Bloom in Lake Bay through Bayesian LASSO.

Authors:  Liang Wang; Yulin Wang; Haomiao Cheng; Jilin Cheng
Journal:  Int J Environ Res Public Health       Date:  2019-07-12       Impact factor: 3.390

  2 in total

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