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🇱🇰 Sri Lanka's Sources of CO₂ Emissions

Sri Lanka's Sources of CO2 Emissions

✨ Key Insights

Post-Independence Industrialization

Following Sri Lanka's independence in 1948, the country embarked on a path of industrialization, which led to increased use of fossil fuels such as coal and oil. This period marked a noticeable rise in CO2 emissions as the nation modernized its economy. The development of industries and infrastructure required significant energy inputs, primarily derived from fossil fuels, contributing to higher greenhouse gas emissions.

Economic Liberalization and Emissions Surge

The economic liberalization policies introduced in 1977 spurred rapid industrial growth and urbanization, further increasing energy consumption and CO2 emissions. The shift towards a more open economy encouraged foreign investment and industrial expansion, which in turn heightened the demand for energy. This period saw a significant rise in emissions as Sri Lanka transitioned to a more industrialized economy.

Natural Gas Introduction and Emission Trends

In 1996, Sri Lanka began exploring natural gas as an energy source, aiming to reduce reliance on coal and oil. This shift marked a significant step in diversifying the country's energy mix and potentially lowering CO2 emissions. Natural gas, being a cleaner-burning fossil fuel, offered a more sustainable energy option, contributing to a gradual change in emission trends.

Commitment to Climate Goals

Sri Lanka's commitment to the Paris Agreement in 2015 signaled a policy shift towards sustainable development and reducing the carbon footprint. The country's pledge to increase renewable energy use and improve energy efficiency aimed to curb CO2 emissions. By 2019, significant strides in expanding renewable energy capacity, particularly in solar and wind power, further aligned with these climate goals, contributing to a positive impact on emissions.

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.