Browsing by Author "Aksoy T."

Now showing 1 - 3 of 3

Assessing the effects of wind farms on soil organic carbon
(2021-04-01) Pekkan O.I.; Senyel Kurkcuoglu M.A.; Cabuk S.N.; Aksoy T.; Yilmazel B.; Kucukpehlivan T.; Dabanli A.; Cabuk A.; Cetin M.
Wind energy is considered one of the cleanest and most sustainable resources among renewable energy sources. However, several negative environmental impacts can be observed, unless suitable sites are selected for the establishment of wind farms. The aim of this study is to determine the change in the soil organic carbon (SOC) stock resulting from land cover changes that were caused by wind farm establishments in the Karaburun peninsula. Within the scope of the study, remote sensing and geographic information system technologies were utilized. Maximum likelihood algorithm, one of the supervised classification techniques, was used to classify the land cover, and Normalized Difference Vegetation Index (NDVI) analyses were performed to determine land cover changes. The findings were correlated with the “Turkey Soil Organic Carbon Project” data. As a result, depending on the establishment of wind farms in the Karaburun Peninsula, a total decrease of 18,330.57 tons of SOC in the study area between 2000 and 2019 was determined. It should be taken into consideration that besides many other negative effects (effects on human health, effects on the ecosystem, effects on animals, etc.), land cover changes caused by wind farms may indirectly cause important problems such as climate change. Recently, this situation shows that there is an important dilemma in terms of current implementations. Wind farms are the most invested renewable energy sources and alternative energy supply to fossil fuels in terms of preventing climate change. However, the results of this study have reviewed that lack of proper approaches and methods to establish wind farms may result in various problems such as physical, chemical, and biological degradations and an increase in the amount of atmospheric carbon. Consequently, the investments in renewable energy sources should be comprehensively reevaluated in terms of current technologies, quality in the scope of environmental impact assessment and strategic environmental assessment processes, legal regulations and national policies, long-term environmental costs, etc.
Employing remote sensing technique to monitor the influence of newly established universities in creating an urban development process on the respective cities
(2021-10-01) Cetin M.; Aksoy T.; Cabuk S.N.; Senyel Kurkcuoglu M.A.; Cabuk A.
Universities have a wide range of effects on the development of the cities, economic growth and socio-cultural structures of the communities. Accordingly, the Turkish government has encouraged the establishment of the higher education institutions to support the regional development especially in the underdeveloped areas. In this study, 13 universities established after 2006 in the eastern and south-eastern regions of the country were analysed for the determination of the effects of the university establishments in the land use patterns. To fulfil this aim NDVI differencing technique covering a period of 10–13 years was performed within the 1 km, 3 km and 5 km buffer rings around the campuses as well as the city centres. The city centres of three additional universities from the same region with older establishment periods varying between 1950 and 1980 were also analysed to compare the results. The results showed that the average of the negative changes in the city centre boundaries was 4.49%, and 6 of the 13 universities conduced to urban development, whereas the remaining 7 ones did not create a significant urban development.
Evaluation of comparing urban area land use change with Urban Atlas and CORINE data
(2022-04-01) Aksoy T.; Dabanli A.; Cetin M.; Senyel Kurkcuoglu M.A.; Cengiz A.E.; Cabuk S.N.; Agacsapan B.; Cabuk A.
Urban Atlas (UA) data covering the large urban areas have been produced by the European Environment Agency for a variety of European countries including Turkey since 2006. The use of the UA data for the determination of spatiotemporal land use and density changes in urban areas. UA data of Eskisehir, Turkey, were used in order to detect the spatiotemporal changes between 2012 and 2018. CORINE data–based change detection and NDVI analysis were also made and compared with the results obtained from the UA data. The results based on the UA data revealed that the artificial surfaces in the study area increased by 17.65% and there was a 18.32% increase in the total amount of agricultural lands, natural lands, forests, and vegetation. Although CORINE data–based analyses showed a similar trend in land use/land cover changes, the amount of changes between 2012 and 2018 in CORINE and UA data–based analyses were found to be 4.99% and 17.55%, respectively. A 9.30% mismatch between the UA changes and NDVI difference data was also calculated. Research findings revealed that the utilization of the UA data in the urban territories would be advantageous especially in planning processes to detect and compare the changes in the artificial and non-artificial surfaces and NDVI analysis would be very supportive to control and compare the results. It is also concluded that this study may be a useful model to monitor the cities in accordance with the 2030 and 2050 policies of European Council on Land Use, Land Use Change and Forestry.