Patterns of long-term dynamics of aquatic communities and water quality parameters in the Great Lakes: Are they synchronized?

2018 ◽  
Vol 44 (4) ◽  
pp. 660-669 ◽  
Author(s):  
Katya E. Kovalenko ◽  
Euan D. Reavie ◽  
Richard P. Barbiero ◽  
Lyubov E. Burlakova ◽  
Alexander Y. Karatayev ◽  
...  
1987 ◽  
Vol 21 (3) ◽  
pp. 210-215 ◽  
Author(s):  
L. A. Brown

An economic reliable long-term recirculation anaesthesia system for laboratory fish is described. Anaesthesia of channel catfish ( Ictalurus punctatus Rafinesque) was induced within 60 s and was maintained for up to 40 min using tricaine methanesulphonate; recovery occurred within 30-60 s. Various surgical procedures were performed on the fish. No deaths were recorded. All water-quality parameters tested over 19 days use of the system remained stable except for total ammonia nitrogen and, by calculation, un-ionized ammonia which increased to a maximum of 0·23 mg/1.


2021 ◽  
Vol 7 (4) ◽  
pp. 797-808
Author(s):  
Nicole C. Rockey ◽  
Yun Shen ◽  
Sarah-Jane Haig ◽  
Madeleine Wax ◽  
James Yonts ◽  
...  

This study elucidates the short- and long-term impacts of lead service line replacement in Flint homes following a corrosion event.


Author(s):  
R. A. Shuchman ◽  
K. R. Bosse ◽  
M. J. Sayers ◽  
G. L. Fahnenstiel ◽  
G. Leshkevich

Long time series of ocean and land color satellite data can be used to measure Laurentian Great Lakes water quality parameters including chlorophyll, suspended minerals, harmful algal blooms (HABs), photic zone and primary productivity on weekly, monthly and annual observational intervals. The observed changes in these water quality parameters over time are a direct result of the introduction of invasive species such as the <i>Dreissena</i> mussels as well as anthropogenic forcing and climate change. Time series of the above mentioned water quality parameters have been generated based on a range of satellite sensors, starting with Landsat in the 1970s and continuing to the present with MODIS and VIIRS. These time series have documented the effect the mussels have had on increased water clarity by decreasing the chlorophyll concentrations. Primary productivity has declined in the lakes due to the decrease in algae. The increased water clarity due to the mussels has also led to an increase in submerged aquatic vegetation. Comparing water quality metrics in Lake Superior to the lower lakes is insightful because Lake Superior is the largest and most northern of the five Great Lakes and to date has not been affected by the invasive mussels and can thus be considered a control. In contrast, Lake Erie, the most southern and shallow of the Laurentian Great Lakes, is heavily influenced by agricultural practices (i.e., nutrient runoff) and climate change, which directly influence the annual extent of HABs in the Western Basin of that lake.


2010 ◽  
Vol 62 (7) ◽  
pp. 1587-1594 ◽  
Author(s):  
Pham Thi Minh Hanh ◽  
Nguyen Viet Anh ◽  
Dang The Ba ◽  
Suthipong Sthiannopkao ◽  
Kyoung-Woong Kim

In order to determine the influence of climate and hydrology on water quality of the lower Mekong River, the long term monitoring data (from 1985 to 2004) of climatic, hydrological and water quality variables were analyzed. In general, water quality was ‘good’ or ‘very good’ for most of the investigated water quality parameters including DO, pH, conductivity, nitrate, phosphate and total phosphorus. All climatic and hydrological elements as well as most of the water quality parameters varied seasonally. Throughout the 18-year period, only evaporation, water level and TSS showed a significant pertinent trend. ARIMA models results reveal that among climatic and hydrological paremeters, water quality could be effectively predicted from the data of discharge flow and precipitation. The results showed good R2 (≥0.7) estimation between predicted and observed values for TSS, alkalinity and conductivity which are the chemically and biologically conservative parameters. For other water quality parameters such as Ca2 + , Mg2 + , Si, Cl−, NO3−, and SO42−, the predicting results by ARIMA model were reliable in shorter period than the above three mentioned variables.


2015 ◽  
Vol 48 (2) ◽  
pp. 95-107
Author(s):  
Sungjin Kwak ◽  
Bhattrai Bal Dev ◽  
Kwansoon Choi ◽  
Woomyung Heo

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