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🇹🇷 Türkiye's Sources of CO₂ Emissions

Türkiye's Sources of CO2 Emissions

✨ Key Insights

Coal and Oil: The Dominant Sources

Türkiye's CO2 emissions have been significantly influenced by coal and oil over the decades. The expansion of coal mining in the 1970s marked a notable increase in emissions, as coal-fired power plants became a primary energy source. Similarly, the discovery of oil in Batman in 1955 and subsequent industry growth contributed to rising emissions. By the 1980s, oil had become a major contributor, with emissions peaking in the following decades. Despite efforts to diversify energy sources, coal and oil remain dominant, reflecting the country's historical reliance on these fossil fuels.

Natural Gas and Energy Shifts

The introduction of natural gas in 1991 marked a pivotal shift in Türkiye's energy landscape. While natural gas burns cleaner than coal, its adoption led to a complex interplay of emissions. The 1990s saw a reduction in CO2 emissions from coal, but the rise of natural gas brought its own challenges, including fugitive methane emissions. The liberalization of the energy market in 2001 further accelerated energy consumption, impacting overall emissions. Despite these shifts, natural gas has played a crucial role in diversifying Türkiye's energy mix.

Land Use and Forestry Dynamics

Land use and forestry have also played a significant role in Türkiye's emissions profile. The Southeastern Anatolia Project initiated in 1984, aimed at boosting agricultural productivity, likely influenced emissions through changes in land use. Notably, the net CO2 emissions from land use, land-use change, and forestry (LULUCF) have shown significant fluctuations, with periods of both increase and decrease. These dynamics highlight the complex relationship between land management practices and emissions, underscoring the importance of sustainable land use policies in mitigating climate change impacts.

Background

The chart shows a national breakdown by source of the yearly CO2 emissions from human activities and processes expressed in megatonnes. It is critical to know and track the sources of national CO2 emissions in order to understand their individual impacts on climate change.

The sources of human CO2 emissions are

  • CO2 From Fossil Fuels and Industry: coal, oil, gas combustion, other fossil processes
  • CO2 From Land-Use, Land-Use Change, and Forestry

Coal, oil and gas combustion

Fossil fuel CO2 emissions from the combustion of coal, oil and gas are emitted by processes in electricity generation, transport, industry, and the building sector. All processes can be linked to human activities. Examples include driving cars with combustion engines burning diesel or gas, or electric cars charged by electricity from a power plant that burns coal.

Other fossil processes

Fossil CO2 emissions from other processes include sources like cement manufacturing and production of chemicals and fertilizers. Cement also has an absorption factor highlighted in the absorption breakdown chart.

Land-use change

Human civilization emits CO2 by changing and managing its land. Those emissions come, for example, from deforestation, logging, forest degradation, harvest activities and shifting agriculture cultivation. Land-use change also absorbs considerable amounts of CO2, which is shown in the absorption breakdown chart. Land-use change emits more than it absorbs, so the net effect is still emissions, but less than for coal, oil and gas.

Wikipedia: Greenhouse Gas Emissions
Earth System Science Data: GCP 2020 paper: Section 2.2 Land-use change; Section 2.1 Fossil fuel emissions
IPCC: Annual Report 6, 5.2.1.1 Anthropogenic CO2 emissions

Units and Measures

CO2 emissions are expressed in the total weight in megatonnes per year. 1 Megatonne is equal to 1 million tonnes.

Wikipedia: Megatonne
Wikipedia: Global warming potential

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About the Data

The last available year is 2023. CO2 emissions data is from the Global Carbon Project. It contains national CO2 emissions from fossil sources and land-use change.

The Key Insights paragraph was generated using a large language model (LLM) using a structured approach to improve the accuracy. This included separating the context generation from the interpretation and narrative.

Data Sources

Global Carbon Budget 2024 Global Carbon Budget
Update cycle: yearlyDelay: ~ 10 months after the end of the year. Current year values are estimated and published in November.Credits: Friedlingstein et al., 2024, ESSD. Friedlingstein, P., O'Sullivan, M., Jones, M. W., Andrew, R. M., Hauck, J., Landschützer, P., Le Quéré, C., Li, H., Luijkx, I. T., Olsen, A., Peters, G. P., Peters, W., Pongratz, J., Schwingshackl, C., Sitch, S., Canadell, J. G., Ciais, P., Jackson, R. B., Alin, S. R., Arneth, A., Arora, V., Bates, N. R., Becker, M., Bellouin, N., Berghoff, C. F., Bittig, H. C., Bopp, L., Cadule, P., Campbell, K., Chamberlain, M. A., Chandra, N., Chevallier, F., Chini, L. P., Colligan, T., Decayeux, J., Djeutchouang, L., Dou, X., Duran Rojas, C., Enyo, K., Evans, W., Fay, A., Feely, R. A., Ford, D. J., Foster, A., Gasser, T., Gehlen, M., Gkritzalis, T., Grassi, G., Gregor, L., Gruber, N., Gürses, Ö., Harris, I., Hefner, M., Heinke, J., Hurtt, G. C., Iida, Y., Ilyina, T., Jacobson, A. R., Jain, A., Jarníková, T., Jersild, A., Jiang, F., Jin, Z., Kato, E., Keeling, R. F., Klein Goldewijk, K., Knauer, J., Korsbakken, J. I., Lauvset, S. K., Lefèvre, N., Liu, Z., Liu, J., Ma, L., Maksyutov, S., Marland, G., Mayot, N., McGuire, P., Metzl, N., Monacci, N. M., Morgan, E. J., Nakaoka, S.-I., Neill, C., Niwa, Y., Nützel, T., Olivier, L., Ono, T., Palmer, P. I., Pierrot, D., Qin, Z., Resplandy, L., Roobaert, A., Rosan, T. M., Rödenbeck, C., Schwinger, J., Smallman, T. L., Smith, S., Sospedra-Alfonso, R., Steinhoff, T., Sun, Q., Sutton, A. J., Séférian, R., Takao, S., Tatebe, H., Tian, H., Tilbrook, B., Torres, O., Tourigny, E., Tsujino, H., Tubiello, F., van der Werf, G., Wanninkhof, R., Wang, X., Yang, D., Yang, X., Yu, Z., Yuan, W., Yue, X., Zaehle, S., Zeng, N., and Zeng, J.: Global Carbon Budget 2024, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2024-519, in review, 2024.