Improvement of Urban Lake Water Quality by Removal ofEscherichia colithrough the Action of the BivalveAnodonta californiensis

2015 ◽  
Vol 49 (3) ◽  
pp. 1664-1672 ◽  
Author(s):  
Niveen S. Ismail ◽  
Hanna Dodd ◽  
Lauren M. Sassoubre ◽  
Alexander J. Horne ◽  
Alexandria B. Boehm ◽  
...  
2017 ◽  
Vol 18 (5) ◽  
pp. 55-62 ◽  
Author(s):  
Renata Augustyniak ◽  
Maciej Neugebauer ◽  
Joanna Kowalska ◽  
Daniel Szymański ◽  
Grzegorz Wiśniewski ◽  
...  

2016 ◽  
Vol 25 (2) ◽  
pp. 655-661 ◽  
Author(s):  
Hazem Kalaji ◽  
Oksana Sytar ◽  
Marian Brestic ◽  
Izabela Samborska ◽  
Magdalena Cetner ◽  
...  

2020 ◽  
Vol 31 (11) ◽  
pp. 1392-1407 ◽  
Author(s):  
Kun Yang ◽  
Yi Luo ◽  
Kexin Chen ◽  
Yang Yang ◽  
Chunxue Shang ◽  
...  

2018 ◽  
Vol 18 (1) ◽  
pp. 107-115 ◽  
Author(s):  
Kwang-Hee Lee ◽  
◽  
Min-Ho Kim ◽  
Nam-Woo An ◽  
Chul-hwi Park

1998 ◽  
Vol 37 (2) ◽  
pp. 177-185 ◽  
Author(s):  
Hany Hassan ◽  
Keisuke Hanaki ◽  
Tomonori Matsuo

Global climate change induced by increased concentrations of greenhouse gases (especially CO2) is expected to include changes in precipitation, wind speed, incoming solar radiation, and air temperature. These major climate variables directly influence water quality in lakes by altering changes in flow and water temperature balance. High concentration of nutrient enrichment and expected variability of climate can lead to periodic phytoplankton blooms and an alteration of the neutral trophic balance. As a result, dissolved oxygen levels, with low concentrations, can fluctuate widely and algal productivity may reach critical levels. In this work, we will present: 1) recent results of GCMs climate scenarios downscaling project that was held at the University of Derby, UK.; 2) current/future comparative results of a new mathematical lake eutrophication model (LEM) in which output of phytoplankton growth rate and dissolved oxygen will be presented for Suwa lake in Japan as a case study. The model parameters were calibrated for the period of 1973–1983 and validated for the period of 1983–1993. Meterologic, hydrologic, and lake water quality data of 1990 were selected for the assessment analysis. Statistical relationships between seven daily meteorological time series and three airflow indices were used as a means for downscaling daily outputs of Hadley Centre Climate Model (HadCM2SUL) to the station sub-grid scale.


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