THE AZNALCÓLLAR PIT LAKE – WATER QUALITY AND OPTIONS OF CONTROL

2006 ◽  
Vol 2006 (2) ◽  
pp. 1927-1935 ◽  
Author(s):  
Martin Schultze ◽  
◽  
Kurt Friese ◽  
Javier Sánchez ◽  
Enrique López
Keyword(s):  
Water Quality ◽  
Lake Water ◽  
Pit Lake ◽  
Lake Water Quality

Quantifying Lake Water Quality Evolution: Coupled Geochemistry, Hydrodynamics, and Aquatic Ecology in an Acidic Pit Lake

2017 ◽  
Vol 51 (17) ◽  
pp. 9864-9875 ◽  
Author(s):  
S. Ursula Salmon ◽  
Matthew R. Hipsey ◽  
Geoffrey W. Wake ◽  
Gregory N. Ivey ◽  
Carolyn E. Oldham
Keyword(s):  
Water Quality ◽  
Lake Water ◽  
Aquatic Ecology ◽  
Pit Lake ◽  
Lake Water Quality

Controls on pit lake water quality at sixteen open-pit mines in Nevada

1999 ◽  
Vol 14 (5) ◽  
pp. 669-687 ◽  
Author(s):  
Lisa Shevenell ◽  
Katherine A Connors ◽  
Christopher D Henry
Keyword(s):  
Water Quality ◽  
Lake Water ◽  
Open Pit ◽  
Pit Lake ◽  
Lake Water Quality ◽  
Open Pit Mines

scholarly journals Pit Lake Water Quality of Central India

2016 ◽  
Vol 08 (01) ◽  
pp. 28-39 ◽  
Author(s):  
Shobhana Ramteke ◽  
Vintee Verma ◽  
Suryakant Chakradhari ◽  
Pravin Kumar Sahu ◽  
Bharat Lal Sahu ◽  
...  
Keyword(s):  
Water Quality ◽  
Lake Water ◽  
Central India ◽  
Pit Lake ◽  
Lake Water Quality

POST-BETZE PIT LAKE WATER QUALITY PREDICTION, NEVADA

2006 ◽  
Vol 2006 (2) ◽  
pp. 1863-1886 ◽  
Author(s):  
William M. Schafer ◽  
Mark Logsdon ◽  
Guosheng Zhan ◽  
Ron Espell
Keyword(s):  
Water Quality ◽  
Lake Water ◽  
Quality Prediction ◽  
Pit Lake ◽  
Lake Water Quality ◽  
Water Quality Prediction

PIT LAKE WATER QUALITY MODELING CALIBRATION OF THE MAIN PIT, TYRONE MINE, NEW MEXICO, USA

2006 ◽  
Vol 2006 (2) ◽  
pp. 2240-2261
Author(s):  
I.F. Walder ◽  
N. Blandford, ◽  
T. Shelly Jr,
Keyword(s):  
Water Quality ◽  
New Mexico ◽  
Lake Water ◽  
Water Quality Modeling ◽  
Pit Lake ◽  
Lake Water Quality ◽  
Quality Modeling

Improvement of Lake Water Quality by using Moving Rapid Water Treatment System

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

An Assessment of Lake Water Quality Index of Manipu Lake of District Ahmedabad, Gujarat

2012 ◽  
Vol 3 (4) ◽  
pp. 448-450 ◽  
Author(s):  
Nikesh G Kotadiya ◽  
◽  
C. A. Acharya C. A. Acharya
Keyword(s):  
Water Quality ◽  
Lake Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Lake Water Quality

A modeling approach to simulate impact of climate change in lake water quality: phytoplankton growth rate assessment

1998 ◽  
Vol 37 (2) ◽  
pp. 177-185 ◽  
Author(s):  
Hany Hassan ◽  
Keisuke Hanaki ◽  
Tomonori Matsuo
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Growth Rate ◽  
Dissolved Oxygen ◽  
Lake Water ◽  
Phytoplankton Growth ◽  
Quality Data ◽  
Model Parameters ◽  
Lake Water Quality ◽  
Phytoplankton Growth Rate

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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