Şehir ve Bölge Planlama Bölümü
https://hdl.handle.net/20.500.12418/265
2024-03-28T09:51:34ZCreation of carbon footprint originating from road transportation in Turkey and digital mapping of it
https://hdl.handle.net/20.500.12418/15066
Creation of carbon footprint originating from road transportation in Turkey and digital mapping of it
Ceylan Demirel, Şeyma; Polat Bulut, Ayben
In this study, the carbon footprint created by the greenhouse gases originating from road transportation in Turkey was calculated. In emission calculations, the methodology recommended by the Intergovernmental Panel on Climate Change and determined by the tier-1 and tier-2 approaches was used. As a result of the study, it was observed that the CO2 emission, which was 95,689 GgCO2 in 2018 according to the tier 1 method, decreased to 92,424 GgCO2 in 2020, and the CO2 emission, which was 417,359 GgCO2 in 2018 in the tier-2 method, decreased to 404,631 GgCO2 in 2020. Among the fuels used, it was determined that the diesel fuel type had the highest CO2 emission in both methods. Among the provinces, it was determined that Istanbul, Ankara and Izmir have the highest CO2 emissions, respectively. CO2 emissions were calculated for each province and presented visually on maps prepared using the ARCGIS method.
2023-01-01T00:00:00ZCreation of carbon footprint originating from road transportation in Turkey and digital mapping of it
https://hdl.handle.net/20.500.12418/14740
Creation of carbon footprint originating from road transportation in Turkey and digital mapping of it
Bulut, Polat, Ayben; Demirel, Ceylan, Şeyma
In this study, the carbon footprint created by the greenhouse gases
originating from road transportation in Turkey was calculated. In emission
calculations, the methodology recommended by the Intergovernmental Panel
on Climate Change and determined by the tier-1 and tier-2 approaches was
used. As a result of the study, it was observed that the CO2 emission, which
was 95,689 GgCO2 in 2018 according to the tier 1 method, decreased to
92,424 GgCO2 in 2020, and the CO2 emission, which was 417,359 GgCO2 in
2018 in the tier-2 method, decreased to 404,631 GgCO2 in 2020. Among the
fuels used, it was determined that the diesel fuel type had the highest CO2
emission in both methods. Among the provinces, it was determined that
Istanbul, Ankara and Izmir have the highest CO2 emissions, respectively. CO2
emissions were calculated for each province and presented visually on maps
prepared using the ARCGIS method.
2023-01-01T00:00:00ZDetermining the water footprint of sunfower in Turkey and creating digital maps for sustainable agricultural water management
https://hdl.handle.net/20.500.12418/14739
Determining the water footprint of sunfower in Turkey and creating digital maps for sustainable agricultural water management
Bulut, Polat, Ayben
With the rapid population growth, global warming and increasing urbanization in recent
years, existing water resources are rapidly depleted and polluted. As a result of uncon scious consumption and pollution of water resources, studies on the sustainable manage ment of water have gained momentum. In recent years, the concept of water footprint has
attracted attention in terms of the sustainability of water resources. The concept of water
footprint refers to the amount of water required throughout the production of any service
or product. In this study, the green, blue and total water footprint sizes of the sunfower in
Turkey in 2017–2021 were determined and calculated as 0.803 billion m3
, 2.656 billion m3
and 3.460 billion m3
, respectively. The region with the highest sunfower production and
the largest sunfower water footprint was determined as the Marmara-Thrace region, and
the province as Tekirdağ. The main reason for the high water footprint of the sunfower in
Tekirdağ is the highest sunfower production in the province. For efcient and sustainable
use of water, the blue water footprint should be low and the green water footprint high.
Thus, when Turkey is evaluated, it has been determined that the highest green water foot print for sunfower is in the Black Sea region. Therefore, it seems possible for Turkey to
reduce the blue water footprint of sunfowers by focusing on sunfower production in the
Black Sea region.
2023-01-01T00:00:00ZGroundwater potential assessment based on GIS‑based Best–Worst Method (BWM) and Step‑Wise Weight Assessment Ratio Analysis (SWARA) Method
https://hdl.handle.net/20.500.12418/14623
Groundwater potential assessment based on GIS‑based Best–Worst Method (BWM) and Step‑Wise Weight Assessment Ratio Analysis (SWARA) Method
Karakuş, Can Bülent
In this study, the most suitable areas in terms of groundwater potential within the borders of the adjacent area of Sivas
Municipality (Sivas/Turkey) were determined with the help of Geographic Information System (GIS)-based Best–Worst
Method (BWM) and Step-Wise Weight Assessment Ratio Analysis (SWARA) methods. Slope, drainage density, Topographic
Position Index (TPI), lineament density, lithology, soil types, land use, geomorphology, and rainfall criteria were selected to
determine groundwater potential areas. These criteria were weighted with the help of BWM, SWARA, and BWM-SWARA
methods and the Groundwater Potential Index (GPI) was calculated according to the weighted linear combination method.
According to the calculated GPI values, the groundwater potential of the study area was represented as “excellent,” “very
good,” “good,” “moderately good,” “low,” and “very low.” According to all three methods, areas in the “excellent” class
constituted 10.99%, 8.40%, and 11.16% of the study area, respectively, while areas in the “very low” class covered 8.33%,
7.98%, and 9.04% of the study area, respectively. The linear correlation coefcient (R2
) values of the BWM, SWARA, and
BWM-SWARA methods were calculated as 0.80, 0.82, and 0.75, respectively, while the area under the curve (AUC) values were determined as 0.83, 0.79, and 0.81, respectively. These results showed that the accuracy of the model was “very
good” overall. As a result, groundwater potential mapping created for the study area will contribute to better development
of groundwater resources and water management planning.
2023-01-01T00:00:00Z