Evaluation of metal contamination in soil samples around thermal power plant in Turkey

2018 ◽  
Author(s):  
Şeref Turhan ◽  
Aydan Altıkulaç
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Metal Contamination ◽  
Thermal Power ◽  
Soil Samples

Evaluation of agricultural soil radiotoxic element pollution around a lignite-burning thermal power plant

2019 ◽  
Vol 108 (1) ◽  
pp. 77-85 ◽  
Author(s):  
Şeref Turhan
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Agricultural Soil ◽  
Power Plants ◽  
Thermal Power ◽  
Pollution Index ◽  
Soil Samples ◽  
Pollution Indices ◽  
Average Value ◽  
Lignite Coal

Abstract Lignite coal is a major and an essential domestic energy source in Turkey. Many environmental problems and human health hazards may arise during lignite coal exploitation, combustion, and waste (fly and bottom ash and slag) disposal. In addition, lignite-burning power plants can be significant contributors to deposition of radiotoxic elements and/or toxic heavy metals on soil and water. The concentrations of thorium (Th) and uranium (U) in a 140 agricultural soil samples collected from the vicinity of a lignite-burning thermal power plant (LBTPP), located in Kangal district of Sivas province in the Central Anatolia region of Turkey, were determined using energy dispersive X-ray fluorescence spectroscopy. The concentrations of Th and U varied from 2.9 to 12.7 μg g−1 with an average value of 5.8 μg g−1 and 0.3–12.3 μg g−1 with an average value of 1.5 μg g−1, respectively. The radiotoxic elements pollution in agricultural soils was evaluated using pollution indices such as geo-accumulation index (Igeo), enrichment factors (EF), pollution index (PI) and Nemerow integrated pollution index (NIPI). The average value of Igeo, EF and PI estimated for Th and U were found as −1.8, 1.2 and 0.44 and −1.7, 1.7 and 0.58, respectively. The results indicated that the soils around Kangal LBTPP were practically unpolluted to low polluted with Th and U. The NIPI values varied from 0.3 to 4.0 with an average value of 0.6. The evaluation result of NIPI revealed that 86 % of total soil samples were non-polluted.

scholarly journals Trace Analysis of Heavy Metals in Ground Water and Soil near Coal Based Thermal Power Plant Udupi Karnataka

2021 ◽  
Vol 23 (2) ◽  
Author(s):  
Nausha Shetty ◽  
◽  
Jyothi K Shetty ◽  
Dr Mohandas Chadaga ◽  
Dr Udaya Shankara H N ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Power Plant ◽  
Ground Water ◽  
Thermal Power Plant ◽  
Heavy Metal Contamination ◽  
Thermal Power ◽  
Soil Samples ◽  
Preliminary Treatment ◽  
Post Monsoon

The study involves evaluation of quality of groundwater and soil near the Thermal power plant located in Udupi District, Karnataka, India based on seasonal variation. 24 samples of ground water and soil were collected during Pre-Monsoon, Post- Monsoon and Monsoon Seasons from the places which are surrounding the Thermal Power plant. Collected Ground water samples were tested for detection of various heavy metal concentrations such as Ni, Fe, Mn, Cr, and Pb and soil samples were detected for Ni, Fe, Mn, Cr, Pb, Cd and Co. Collected soil samples were sieved according to different Standard sieve size. After sieving, soil samples were digested using tri-acids (Nitric Acid, Hydrogen peroxide and Concentrated Hydrochloric acid). Both Ground water and Soil samples were analysed for heavy metal contamination by using Atomic Absorptive Spectrometry. From the results obtained for Pre-Monsoon, Post-Monsoon and Monsoon Season it showed that concentration of heavy metals in the samples were exceeding the permissible limit prescribed by WHO and BIS. Hence preliminary treatment should be done before discharging in to Ash ponds.

Nonlinear Trend Analysis of Mill Fan System Vibrations for Predictive Maintenance and Diagnostics

2012 ◽  
Vol 58 (4) ◽  
pp. 351-356
Author(s):  
Mincho B. Hadjiski ◽  
Lyubka A. Doukovska ◽  
Stefan L. Kojnov
Keyword(s):  
Power Plant ◽  
Trend Analysis ◽  
Thermal Power Plant ◽  
Power Plants ◽  
Thermal Power ◽  
Balkan Peninsula ◽  
Predictive Maintenance ◽  
Nonlinear Trend ◽  
The Subject ◽  
The Given

Abstract Present paper considers nonlinear trend analysis for diagnostics and predictive maintenance. The subject is a device from Maritsa East 2 thermal power plant a mill fan. The choice of the given power plant is not occasional. This is the largest thermal power plant on the Balkan Peninsula. Mill fans are main part of the fuel preparation in the coal fired power plants. The possibility to predict eventual damages or wear out without switching off the device is significant for providing faultless and reliable work avoiding the losses caused by planned maintenance. This paper addresses the needs of the Maritsa East 2 Complex aiming to improve the ecological parameters of the electro energy production process.

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