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🇳🇵 Nepal's Sources of CO₂ Emissions

Nepal's Sources of CO2 Emissions

✨ Key Insights

Modernization and Industrialization

The end of the Rana regime in 1951 marked a pivotal shift in Nepal's history, ushering in modernization and industrialization. This transition led to increased use of fossil fuels, such as coal and oil, as the country embarked on infrastructure development. Although specific emissions data from this period is unavailable, it is likely that CO₂ emissions began to rise as a result of these changes.

Agricultural Expansion and Democratic Movement

In 1975, Nepal's focus on agricultural expansion contributed to greenhouse gas emissions, particularly through the use of nitrogen-based fertilizers. The 1990 People's Movement further accelerated emissions as democracy brought economic growth and industrialization. This period saw increased energy consumption from fossil fuels, driven by urbanization and infrastructure development, likely leading to a significant rise in CO₂ emissions.

Post-War Reconstruction and Earthquake Impact

The end of the Nepalese Civil War in 2006 brought political stability and economic recovery, with investments in infrastructure and energy projects, including fossil fuels, contributing to emissions. The 2015 Gorkha Earthquake added another layer of complexity, as reconstruction activities increased emissions through the use of construction materials and energy. These events, coupled with land-use changes, likely had a measurable impact on Nepal's greenhouse gas emissions.

Rising Emissions from Fossil Fuels

Over the decades, emissions from coal, oil, and other fossil fuels have shown a marked increase. The 2020s, in particular, have seen a significant rise in emissions from coal and oil, reflecting Nepal's ongoing reliance on these energy sources. This trend underscores the challenges Nepal faces in balancing economic development with environmental sustainability.

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.