scholarly journals Effects of water temperature on summer periphyton biomass in shallow lakes: a pan-European mesocosm experiment

2015 ◽  
Vol 77 (3) ◽  
pp. 499-510 ◽  
Author(s):  
Aldoushy Mahdy ◽  
Sabine Hilt ◽  
Nur Filiz ◽  
Meryem Beklioğlu ◽  
Josef Hejzlar ◽  
...  
Water ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 1980
Author(s):  
Bushra Tasnim ◽  
Jalil A. Jamily ◽  
Xing Fang ◽  
Yangen Zhou ◽  
Joel S. Hayworth

In shallow lakes, water quality is mostly affected by weather conditions and some ecological processes which vary throughout the day. To understand and model diurnal-nocturnal variations, a deterministic, one-dimensional hourly lake water quality model MINLAKE2018 was modified from daily MINLAKE2012, and applied to five shallow lakes in Minnesota to simulate water temperature and dissolved oxygen (DO) over multiple years. A maximum diurnal water temperature variation of 11.40 °C and DO variation of 5.63 mg/L were simulated. The root-mean-square errors (RMSEs) of simulated hourly surface temperatures in five lakes range from 1.19 to 1.95 °C when compared with hourly data over 4–8 years. The RMSEs of temperature and DO simulations from MINLAKE2018 decreased by 17.3% and 18.2%, respectively, and Nash-Sutcliffe efficiency increased by 10.3% and 66.7%, respectively; indicating the hourly model performs better in comparison to daily MINLAKE2012. The hourly model uses variable hourly wind speeds to determine the turbulent diffusion coefficient in the epilimnion and produces more hours of temperature and DO stratification including stratification that lasted several hours on some of the days. The hourly model includes direct solar radiation heating to the bottom sediment that decreases magnitude of heat flux from or to the sediment.


2004 ◽  
Vol 49 (12) ◽  
pp. 1619-1632 ◽  
Author(s):  
Kirsi Vakkilainen ◽  
Timo Kairesalo ◽  
Jaana Hietala ◽  
David M. Balayla ◽  
Eloy Becares ◽  
...  

Hydrobiologia ◽  
2014 ◽  
Vol 740 (1) ◽  
pp. 25-35 ◽  
Author(s):  
Arda Özen ◽  
Tuba Bucak ◽  
Ülkü Nihan Tavşanoğlu ◽  
Ayşe İdil Çakıroğlu ◽  
Eti Ester Levi ◽  
...  

2012 ◽  
Vol 57 (8) ◽  
pp. 1631-1642 ◽  
Author(s):  
TUBA BUCAK ◽  
ECE SARAOĞLU ◽  
ETİ E. LEVİ ◽  
Ü. NİHAN TAVŞANOĞLU ◽  
A. İdİl ÇAKİROĞLU ◽  
...  

2010 ◽  
Vol 56 (3) ◽  
pp. 437-447 ◽  
Author(s):  
LONE LIBORIUSSEN ◽  
TORBEN L. LAURIDSEN ◽  
MORTEN SØNDERGAARD ◽  
FRANK LANDKILDEHUS ◽  
MARTIN SØNDERGAARD ◽  
...  

2021 ◽  
Vol 12 (2) ◽  
pp. 439-456
Author(s):  
Francesco Piccioni ◽  
Céline Casenave ◽  
Bruno Jacques Lemaire ◽  
Patrick Le Moigne ◽  
Philippe Dubois ◽  
...  

Abstract. Small, shallow lakes represent the majority of inland freshwater bodies. However, the effects of climate change on such ecosystems have rarely been quantitatively addressed. We propose a methodology to evaluate the thermal response of small, shallow lakes to long-term changes in the meteorological conditions through model simulations. To do so, a 3D thermal-hydrodynamic model is forced with meteorological data and used to hindcast the evolution of an urban lake in the Paris region between 1960 and 2017. Its thermal response is assessed through a series of indices describing its thermal regime in terms of water temperature, thermal stratification, and potential cyanobacteria production. These indices and the meteorological forcing are first analysed over time to test the presence of long-term monotonic trends. 3D simulations are then exploited to highlight the presence of spatial heterogeneity. The analyses show that climate change has strongly impacted the thermal regime of the study site. Its response is highly correlated with three meteorological variables: air temperature, solar radiation, and wind speed. Mean annual water temperature shows a considerable warming trend of 0.6 ∘C per decade, accompanied by longer stratification and by an increase in thermal energy favourable to cyanobacteria proliferation. The strengthening of thermal conditions favourable for cyanobacteria is particularly strong during spring and summer, while stratification increases especially during spring and autumn. The 3D analysis allows us to detect a sharp separation between deeper and shallower portions of the basin in terms of stratification dynamics and potential cyanobacteria production. This induces highly dynamic patterns in space and time within the study site that are particularly favourable to cyanobacteria growth and bloom initiation.


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