scholarly journals Estimation of physiological responses using two growth forms of lichens around coal-based Tanda Thermal Power Plant, Ambedkar Nagar district of Uttar Pradesh, India

2020 ◽  
Vol 10 (1) ◽  
pp. 131-141
Author(s):  
N Gupta
2001 ◽  
Vol 1 ◽  
pp. 266-274 ◽  
Author(s):  
Raj K. Singh ◽  
Raj M. Agrawal

An atmospheric deposition study was conducted in the downwind of Shaktinagar Thermal Power Plant (STPP), Renusagar Thermal Power Plant (RTPP), and Anpara Thermal Power Plant (ATPP), at Singrauli region, Uttar Pradesh (UP), India to characterize dry and wet deposition in relation to different pollution loading. During the study period, dry and wet depositions and levels of gaseous pollutants (SO2 and NO2) were estimated across the sites. Dry deposition was collected on a monthly basis and wet deposition on an event basis. Depositions were analyzed for pH, nitrate (NO3�), ammonium (NH4+), and sulphate (SO42�) contents. Dry deposition rate both collected as clearfall and throughfall varied between 0.15 to 2.28 and 0.33 to 3.48 g m�2 day�1, respectively, at control and maximally polluted sites. The pH of dry deposition varied from 5.81 to 6.89 during winter and 6.09 to 7.02 during summer across the sites. During the rainy season, the mean pH of clear wet deposition varied from 6.56 to 7.04 and throughfall varied from 6.81 to 7.22. The concentrations of NO2 and SO2 pollutants were highest during the winter season. Mean SO2 concentrations varied from 18 to 75 �g m�3 at control and differently polluted sites during the winter season. The variation in NO2 concentrations did not show a pattern similar to that of SO2. The highest NO2 concentration during the winter season was 50 �g m�3, observed near RTPP. NO2 concentration did not show much variation among different sites, suggesting that the sources of NO2 emission are evenly distributed along the sites. The concentrations of NH4+, NO3�, and SO42� ions in dry deposition were found to be higher in summer as compared to the winter season. In dry deposition (clearfall) the concentrations of NH4+, NO3�, and SO42� varied from 0.13 to 1.0, 0.81 to 1.95, and 0.82 to 3.27 mg l�1, respectively, during winter. In wet deposition (clearfall), the above varied from 0.14 to 0.74, 0.81 to 1.82, and 0.67 to 2.70 mg l�1, respectively. The study clearly showed that both dry and wet depositions varied between the sites and season, suggesting significant impact of industrial activities in modifying the atmospheric input. The nonacidic deposition suggests that there is no threat of acidification of the receiving ecosystem at present.


2016 ◽  
Vol 2 (01) ◽  
Author(s):  
Namita Gupta ◽  
S. K. Dwivedi ◽  
D. Upreti

Coal based thermal power plants are considered as major point sources emitting considerable amount of particulate matter, fly ash, greenhouse gases, non-combustible hydrocarbons and metals. In order to assess the impact of thermal power plant in Eastern Uttar Pradesh, India, two morphologically distinct lichen species Pyxine cocoes and Bacidia incongruens have been used for conducting biomonitoring studies around thermal power plant located in Tanda district (Uttar Pradesh). Result shows that both the species differs in morphology and anatomy but bioaccumulates more or less similar concentration of metal through adsorption and absorption, as validated by SEM and FTIR respectively. The bioaccumulation in particulate form absorbed on the surface of the lichen thallus further support the particulate bound association of the pollutants emitted from thermal power plant a source of metals. .


2012 ◽  
Vol 58 (4) ◽  
pp. 351-356
Author(s):  
Mincho B. Hadjiski ◽  
Lyubka A. Doukovska ◽  
Stefan L. Kojnov

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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