MATERNAL TRANSFER OF SELENIUM IN ALLIGATOR MISSISSIPPIENSIS NESTING DOWNSTREAM FROM A COAL-BURNING POWER PLANT

2004 ◽  
Vol 23 (8) ◽  
pp. 1969 ◽  
Author(s):  
John H. Roe ◽  
William A. Hopkins ◽  
Jennifer A. Baionno ◽  
Brandon P. Staub ◽  
Christopher L. Rowe ◽  
...  
Keyword(s):  
Power Plant ◽  
Alligator Mississippiensis ◽  
Maternal Transfer ◽  
Coal Burning

scholarly journals Technological exchanged natural radioactivity in vicinity of the Coal Burning Power Plant Kakanj, BiH

2009 ◽  
Vol 44 (5) ◽  
pp. 759-764
Author(s):  
D. Samek ◽  
L. Saracevic ◽  
N. Gradascevic ◽  
A. Mihalj
Keyword(s):  
Power Plant ◽  
Natural Radioactivity ◽  
Coal Burning

scholarly journals Removal of metals from technogenic waters from abandoned coal mines using geochemical barriers

2019 ◽  
Vol 14 (3) ◽  
pp. 560-569
Author(s):  
Olga D. Arefieva ◽  
Valentina G. Tregubova ◽  
Natalya V. Gruschakova ◽  
Elena F. Grinenko
Keyword(s):  
Power Plant ◽  
Soil Column ◽  
Coal Mines ◽  
Natural Materials ◽  
Geochemical Barriers ◽  
Coal Burning ◽  
Abandoned Coal Mines ◽  
Kovdor Deposit ◽  
Cu And Zn ◽  
Technogenic Waters

Abstract A study was made of the possibility of using natural materials (vermiculites, zeolite) and wastes (ash from the Partizansk Coal-Burning Power Plant) as sorbents in geochemical barriers to manage discharges (technogenic waters) from abandoned coal mines and reduce metal concentrations to established, acceptable standards. Vermiculite from the Kovdor deposit was shown to reduce the concentrations of Fe, Co, Ni, Cu, and Zn cations, in both direct and inverse soil column models, by between two and five times.

The Distribution of Tardigrades Upwind and Downwindof a Missouri Coal-Burning Power Plant

2001 ◽  
Vol 240 (3-4) ◽  
pp. 395-401 ◽  
Author(s):  
Amber M. Hohl ◽  
William R. Miller ◽  
Diane R. Nelson
Keyword(s):  
Power Plant ◽  
Coal Burning

Comparison and Application of Two Mathematical Models in Predicting and Determining the State of Deposition and Slagging of Coal Burning Boiler

2013 ◽  
Vol 818 ◽  
pp. 240-245
Author(s):  
Xiao Qiang Wen
Keyword(s):  
Power Plant ◽  
Softening Temperature ◽  
The State ◽  
Vague Sets ◽  
Coal Burning ◽  
Average Temperature ◽  
Acid Ratio ◽  
Normal Method ◽  
High Level ◽  
Temperature Furnace

Building a model to predict the state of slag on coal-fired boilers is a good way to optimize the coal combustion and reduce the risk of boiler slag. This paper built new models based on vague sets to predict the state of slag on coal-fired boilers, in which there were six input vectors, which were softening temperature, SiO2-Al2O3 ratio, alkali-acid ratio, percentage of silicon content, the dimensionless average temperature furnace and the dimensionless inscribed circle diameter furnace, and one output vectors, which was slagging degree. Two methods, which were based on the sense of distance and symmetric fuzzy cross entropy, were proposed to calculate the similarity between vague sets. 10 coal burning boilers were selected as known samples and the feasibility of the new methods was proved by the result of predicting the state of slag on the four coal burning boilers from Jilin heat and power plant, Xinli power plant, Jinzhou power plant and Qinhuangdao power plant. Through predicting and determining, it proves that the two pattern recognition models are high in prediction accuracy. Compared with the normal method, it is easier for operators to predict, determine the slagging state and reduce disturbance as far as possible. Besides, a prediction system has been developed by object-oriented high-level language accordingly.

CHARACTERIZATION OF ATMOSPHERIC PARTICLES IN A COAL-BURNING POWER PLANT AREA

2004 ◽  
Vol 35 ◽  
pp. S1241-S1242
Author(s):  
M.R. PERRONE ◽  
A. TURNONE ◽  
A. TEPORE
Keyword(s):  
Power Plant ◽  
Atmospheric Particles ◽  
Coal Burning ◽  
Plant Area
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