EN
Production of fuel-based carbon footprint distribution map using spatial interpolation methods based on GIS
Abstract
The Earth is a complex system where living and non-living elements coexist in a delicate balance. Climate change is the primary factor responsible for the degradation of this system over time. The far-reaching consequences of climate change impact various aspects of our lives, including the physical environment, urban settings, human activities, economy, technology, agriculture, food production, access to clean water, and public health, all of which are widely acknowledged. Human-induced greenhouse gas emissions in these areas significantly trigger global climate change. Hence, addressing and mitigating the environmental damage from these emissions and the interconnected climate change phenomena is imperative. This situation is where the concept of "carbon footprint" gains prominence in assessing the extent of this damage. Carbon footprint serves as an essential measure in managing and curbing climate change. This study focused on controlling and mitigating carbon emissions, one of the primary greenhouse gasses responsible for climate change, by implementing spatial interpolation techniques based on Geographic Information Systems (GIS). The investigation targeted the Beşirli neighborhood in the Ortahisar district of Trabzon province. Data concerning electricity and natural gas usage were acquired from relevant institutions to perform carbon footprint calculations. Subsequently, carbon footprint calculations were conducted utilizing the acquired data within the specified region. The resulting outputs were systematically organized, integrated into the GIS environment, and linked to their respective geographical locations. Eventually, region-specific carbon footprint distribution maps were generated using selected spatial interpolation methods. These maps enabled a spatial observation of points exhibiting variability in terms of carbon emissions, thereby highlighting the carbon footprints evident in the region. The ultimate goal of this endeavor is to propose practical measures for minimizing the adverse environmental impacts by suggesting strategies to reduce and prevent carbon footprints associated with carbon emissions in the relevant areas.
Keywords
References
- Fang, J., Zhu, J., Wang, S., Yue, C., & Shen, H. (2011). Global warming, human-induced carbon emissions, and their uncertainties. Science China Earth Sciences, 54, 1458-1468. https://doi.org/10.1007/s11430-011-4292-0
- Nordhaus, W. D. (1993). Rolling the ‘DICE’: an optimal transition path for controlling greenhouse gases. Resource and Energy Economics, 15(1), 27-50. https://doi.org/10.1016/0928-7655(93)90017-O
- United Nations (UN). (1992). United Nations Framework Convention on Climate Change.
- NASA. (2023). What is the greenhouse effect? – Climate Change: Vital Signs of the Planet. https://climate.nasa.gov/faq/19/what-is-the-greenhouse-effect.
- Tol, R. S. (2021). Europe’s climate target for 2050: an assessment. Intereconomics, 56(6), 330-335. https://doi.org/10.1007/s10272-021-1012-7
- Rörsch, A., Courtney, R. S., & Thoenes, D. (2005). Global warming and the accumulation of carbon dioxide in the atmosphere: A critical consideration of the evidence. Energy & Environment, 16(1), 101-125. https://doi.org/10.1260/0958305053516190
- Lee, H., Calvin, K., Dasgupta, D., Krinmer, G., Mukherji, A., Thorne, P., ... & Zommers, Z. (2023). Synthesis report of the IPCC Sixth Assessment Report (AR6), Longer report. IPCC.
- Clarke, B., Otto, F., Stuart-Smith, R., & Harrington, L. (2022). Extreme weather impacts of climate change: an attribution perspective. Environmental Research: Climate, 1(1), 012001. https://doi.org/10.1088/2752-5295/ac6e7d
Details
Primary Language
English
Subjects
Geospatial Information Systems and Geospatial Data Modelling
Journal Section
Research Article
Early Pub Date
January 2, 2024
Publication Date
February 15, 2024
Submission Date
July 21, 2023
Acceptance Date
November 30, 2023
Published in Issue
Year 2024 Volume: 9 Number: 1
APA
Çolak, E., Memişoğlu Baykal, T., & Genç, N. (2024). Production of fuel-based carbon footprint distribution map using spatial interpolation methods based on GIS. International Journal of Engineering and Geosciences, 9(1), 99-114. https://doi.org/10.26833/ijeg.1330784
AMA
1.Çolak E, Memişoğlu Baykal T, Genç N. Production of fuel-based carbon footprint distribution map using spatial interpolation methods based on GIS. IJEG. 2024;9(1):99-114. doi:10.26833/ijeg.1330784
Chicago
Çolak, Ebru, Tuğba Memişoğlu Baykal, and Nihal Genç. 2024. “Production of Fuel-Based Carbon Footprint Distribution Map Using Spatial Interpolation Methods Based on GIS”. International Journal of Engineering and Geosciences 9 (1): 99-114. https://doi.org/10.26833/ijeg.1330784.
EndNote
Çolak E, Memişoğlu Baykal T, Genç N (February 1, 2024) Production of fuel-based carbon footprint distribution map using spatial interpolation methods based on GIS. International Journal of Engineering and Geosciences 9 1 99–114.
IEEE
[1]E. Çolak, T. Memişoğlu Baykal, and N. Genç, “Production of fuel-based carbon footprint distribution map using spatial interpolation methods based on GIS”, IJEG, vol. 9, no. 1, pp. 99–114, Feb. 2024, doi: 10.26833/ijeg.1330784.
ISNAD
Çolak, Ebru - Memişoğlu Baykal, Tuğba - Genç, Nihal. “Production of Fuel-Based Carbon Footprint Distribution Map Using Spatial Interpolation Methods Based on GIS”. International Journal of Engineering and Geosciences 9/1 (February 1, 2024): 99-114. https://doi.org/10.26833/ijeg.1330784.
JAMA
1.Çolak E, Memişoğlu Baykal T, Genç N. Production of fuel-based carbon footprint distribution map using spatial interpolation methods based on GIS. IJEG. 2024;9:99–114.
MLA
Çolak, Ebru, et al. “Production of Fuel-Based Carbon Footprint Distribution Map Using Spatial Interpolation Methods Based on GIS”. International Journal of Engineering and Geosciences, vol. 9, no. 1, Feb. 2024, pp. 99-114, doi:10.26833/ijeg.1330784.
Vancouver
1.Ebru Çolak, Tuğba Memişoğlu Baykal, Nihal Genç. Production of fuel-based carbon footprint distribution map using spatial interpolation methods based on GIS. IJEG. 2024 Feb. 1;9(1):99-114. doi:10.26833/ijeg.1330784
Cited By
Towards Sustainable Futures: An Interdisciplinary Bridge—A Bibliometric Review on Climate Change, Agriculture, Land Management, and GIS
Sustainable Development
https://doi.org/10.1002/sd.3439Taşınmaz satışlarında meydana gelen tapu harç kayıplarının coğrafi bilgi sistemleri (CBS) yardımıyla belirlenmesine yönelik bir araştırma: Konya/Karatay örneği
Geomatik
https://doi.org/10.29128/geomatik.1660649