An application of geographic information system (GIS) to a fictitous thermal power plant in Mersin, Turkey: An application of dispersion modelling coupled with GIS

Oguz, M
In this study, local air quality impacts of a proposed conventional coal-fired power plant in the Ice1 region has been investigated using numerical dispersion modeling studies coupled with a GIS application. Within the impact area of the facility, Industrial Source Complex Short Term (ISCST2) dispersion model has been used to estimate ground-level concentrations of air pollutants originating from the power plant. For the same impact area, GIS applications have been utilised to determine the agricultural yield distribution. For this purpose, relevant satellite images were digitised, classified and statistically analyzed. Based on the predicted ground-level pollutant concentrations and sensitivity of the agricultural crops to the pollutants, agricultural yield loss was estimated for the impact area. The results have been quantified and valuated in monetary terms for the purpose of performing an environmental cost benefit analysis. Comparison of the conventional cost benefit analysis with the environmental cost benefit analysis showed the significance of the external cost of the proposed facility, resulting from the environmental damages.


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In this study, emission inventory was prepared and pollutant dispersion studies were carried out for the area around Çayırhan Thermal Power Plant to determine the effects of the plant on the environment. Stack gas measurement results were used for the emissions from the power plant and emission factors were used for calculating the emissions from residential sources and coal stockpiles in the study region. Ground level concentrations of SO2, NOx and PM10 were estimated by using EPA approved dispersion model...
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In this study, statistical downscaling of large-scale general circulation model (GCM) simulations to monthly precipitation of Kemer Dam, in Turkey, has been performed through relevance vector machines (RVMs). All possible regression methods along with statistical measures have been used to select potential predictors through reanalysis data providing air850, hgt850, and prate variables as the optimal. The determined explanatory variables are then used for training RVM-based statistical downscaling model. A ...
Citation Formats
M. Oguz, “An application of geographic information system (GIS) to a fictitous thermal power plant in Mersin, Turkey: An application of dispersion modelling coupled with GIS,” WATER AIR AND SOIL POLLUTION, pp. 389–406, 2003, Accessed: 00, 2020. [Online]. Available: