Main Article Content
Abstract
Climate change is noticeable but the impact and the change are not easily detected. The most pronounced and easily detected climate change is air temperature changes, which affect both the state of natural ecosystems and human social life. Increasing climate and weather variability and extreme climate events affect human life and natural systems more detrimental than the effect of climate change in the form of climate means. This study aims to determine the change in air temperature and the presence of extreme air temperature during the last 37 years. Data of average air temperature (AAT), maximum air temperature (MAT), and minimum air temperature (MiAT) from 1985 to 2022 from the P. Baai Station and Fatmawati Station were used. Trendline analysis were performed to find an increasing trend of air temperature, while the frequency distribution analysis was performed to find extreme climate even. The study concluded that AAT in the City of Bengkulu increase about 0.026oC yr-1 , the MAT increase about 0.005oC yr-1, and the MiAT increase 0.025oC yr-1 during the last 37 years. The extreme climate event however, neither low nor high air temperature was detected. The AAT, MAT and MiAT at present are 26.4oC, 31.3oC, and 21.3oC, respectively.
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Copyright (c) 2024 Linda Tria Nita, Priyono Prawito, Sigit Sudjamitko, Anang Anwar
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References
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- Nugroho, K. (2007). Prediction Analysis Model Using the Fuzzy Time Series Method. (In Indonesia). Infokom, 16(1), 46–50.
- Pepin, N. and Losleben, M. (2002). Climate change in the Colorado Rocky Mountains: free air versus surface temperature trends. International Journal of Climatology, 22(3), 311 – 329.
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- Poumadère, M., Mays, C., Le Mer, S., & Blong, R. (2005). The 2003 heat wave in France: Dangerous climate change here and now. Risk Analysis, 25(6), 1483–1494. https://doi.org/10.1111/j.1539-6924.2005.00694.
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- Pratiwi, N. A. (2023). The Effect of Climate Change on Farmer Income of Laying Chicken. (In Indonesia). Almikraj. Journal of Islamic Study, 3(2), 148–156.
- Snedecor, G. W., and Cohran, W.G. (1989). Statistical Methods. Eight edition. Iowa State University Press. Amas, USA.
- Setyonegoro, W. (2015). Tsunami Scenarios Using Parameter Data of Earthquake Based on Bathymetry Structure (Case Study : Maluku Earthquake on. Jurnal Segara, 11(2), 103–113. http://p3sdlp.litbang.kkp.go.id
- Soraya, S. N., Jumarang, M. I., & Muliadi, M. (2020). Study of Comfort Levels Based on Air Temperature, OLR (Outgoing Longwave Radiation) Humidity and Wind (In Indonesia). Prisma Fisika, 8(2), 147–157. https://doi.org/10.26418/pf.v8i2.42612
- Susandi, A., Herlianti, I., Tamamadin, M., & Nurlela, I. (2010). The Impact of Climate Change on Sea Level Height in the Banjarmasin Region. (In Indonesia). Jurnal Ekonomi Lingkungan, 12(2), 5–8.
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- Warriss, P.D., A. Pagazaurtundua, and S.N. Brown (2005) Relationship between maximum daily temperature and mortality of broiler chickens during transport and lairage, British Poultry Science, 46:6, 647-651, DOI: 10.1080/00071660500393868
References
Akbar, A. J., and Lubis, A. M. (2022). Analysis of Land and Sea Temperatures Trend During 1985-2021 Period to Understand Local or Global Warming Effect in Bengkulu City. Indonesian Review of Physics, 5(1), 16–24. https://doi.org/10.12928/irip.v5i1.6073
Anggraeni, D. Y. (2015). Disclosure of Greenhouse Gas Emissions, Environmental Performance, and Company Value (in Indonesia). Jurnal Akuntansi dan Keuangan Indonesia, 12(2), 188–209. https://doi.org/10.21002/jaki.2015.11
Beniston, M., Rebetez, M., Giorgi, F. (1994). An analysis of regional climate change in Switzerland. Theor Appl Climatol 49, 135–159. https://doi.org/10.1007/BF00865530
Chandramanik, G. F., Huboyo, H. S., & Oktiawan, W. (2016). Analysis of the Effect of Adding Molasses and Cow Urine in Making Liquid Fertilizer for Rumen Contents of Slaughterhouse Waste on the Generation of Green House Gases (CO2, CH4, and N2O) (In Indonesia). Jurnal Teknik Lingkungan, 5(4), 1–9.
Eka, E. N. (2017). Dynamics of Changes in Climate Elements (Temperature, Humidity and Rainfall) and Malaria Incidence in Pandeglang Population (In Indonesia). Jurnal Dunia Kesmas, 6(2), 63–69.
Griffiths, G. M., Chambers, L. E., Haylock, M. R., Manton, M. J., Nicholls, N., Baek, H. J., Choi, Y., Della-Marta, P. M., Gosai, A., Iga, N., Lata, R., Laurent, V., Maitrepierre, L., Nakamigawa, H., Ouprasitwong, N., Solofa, D., Tahani, L., Thuy, D. T., Tibig, L., … Zhai, P. (2005). Change in mean temperature as a predictor of extreme temperature change in the Asia-Pacific region. International Journal of Climatology, 25(10), 1301–330. https://doi.org/10.1002/joc.1194
Gustiar, F., Suwignyo, R. A., . S., & . M. (2014). Methane (CH4) reduction by Increasing Concentrate Composition in Cattle Feed (In Indonesia). Jurnal Peternakan Sriwijaya, 3(1), 14–24. https://doi.org/10.33230/jps.3.1.2014.1728
Hasibuan, W. A., Irsal, I., & Mariati. (2018). The Effect of Rainfall and Rainy Days on the Productivity of Rubber (Hevea brasiliensis Muell-Arg.) Aged 10, 15 and 20 Years in the Aek Pamienke Plantation of PT. Socfin Indonesia (SOCFINDO). (In Indonesia). Jurnal Pertanian Tropik, 5(1), 147–157. https://doi.org/10.32734/jpt.v5i1.3149.
He, W., Zhang, L., and Yuan, C. 2022. Future air temperature projection in high-density tropical cities based on global climate change and urbanization – a study in Singapore. Urban Climate. 42. https://doi.org/10.1016/j.uclim.2022.101115
Hulme, M., Viner, D. (1998). A Climate Change Scenario for the Tropics. Climatic Change 39, 145–176 (1998). https://doi.org/10.1023/A:1005376007729
IPCC (2012) Managing the risks of extreme events and disasters to advance climate change adaptation. In: A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change (eds CB Field, V Barros, TF Stocker et al.), Cambridge University Press, Cambridge, NY, USA. https://www.ipcc.ch/report/managing-the-risks-of-extreme-events-and-disasters-to-advance-climate-change-adaptation/ (accessed 3 April 2024).
IPCC Intergovernmental Panel on Climate Change (2007) Climate Change 2007: impacts, adaptation and vulnerability. summary for policy makers. Available at: www.ipcc.cg/SPM13apr07.pdf (accessed 3 April 2024).
IPCC, 2018: Annex I: Glossary [Matthews, J.B.R. (ed.)]. In: Global Warming of 1.5°C. An IPCC Special Report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate. https://www.ipcc.ch/2024/01/19/ipcc-60-ar7-work-programme/
Lestari, V. (2016). Evaluation of the land suitability for milkfish (Chanos chanos) cultivation in Bonorowo Land, Kalitengah District, Lamongan Regency. (In Indonesia. Jurnal Geografi : Swara Bhumi, 01(01).
Nasution, A. Z., Mubarak, & Zulkifli. (2013). The effect of forest fire on CO2 Emission Study, in Siak Regency, Province of Riau. (In Indonesia, Jurnal Bumi Lestari, 13(1), 27–36.
Nugroho, K. (2007). Prediction Analysis Model Using the Fuzzy Time Series Method. (In Indonesia). Infokom, 16(1), 46–50.
Pepin, N. and Losleben, M. (2002). Climate change in the Colorado Rocky Mountains: free air versus surface temperature trends. International Journal of Climatology, 22(3), 311 – 329.
https://doi.org/10.1002/joc.740
Poumadère, M., Mays, C., Le Mer, S., & Blong, R. (2005). The 2003 heat wave in France: Dangerous climate change here and now. Risk Analysis, 25(6), 1483–1494. https://doi.org/10.1111/j.1539-6924.2005.00694.
Pratama, R., & Parinduri, L. (2019). Global Warming Management. (In Indonesia). Buletin Utama Teknik, 15(1), 1410–4520.
Pratiwi, N. A. (2023). The Effect of Climate Change on Farmer Income of Laying Chicken. (In Indonesia). Almikraj. Journal of Islamic Study, 3(2), 148–156.
Snedecor, G. W., and Cohran, W.G. (1989). Statistical Methods. Eight edition. Iowa State University Press. Amas, USA.
Setyonegoro, W. (2015). Tsunami Scenarios Using Parameter Data of Earthquake Based on Bathymetry Structure (Case Study : Maluku Earthquake on. Jurnal Segara, 11(2), 103–113. http://p3sdlp.litbang.kkp.go.id
Soraya, S. N., Jumarang, M. I., & Muliadi, M. (2020). Study of Comfort Levels Based on Air Temperature, OLR (Outgoing Longwave Radiation) Humidity and Wind (In Indonesia). Prisma Fisika, 8(2), 147–157. https://doi.org/10.26418/pf.v8i2.42612
Susandi, A., Herlianti, I., Tamamadin, M., & Nurlela, I. (2010). The Impact of Climate Change on Sea Level Height in the Banjarmasin Region. (In Indonesia). Jurnal Ekonomi Lingkungan, 12(2), 5–8.
Thornton, P.K., ericksen, P. J., herrero, M., and challinor, A. J. (2014). Climate variability and vulnerability to climate change: a review. Global Change Biology. (2014), 20, 3313–3328, doi: 10.1111/gcb.12581.
Triono, N., Farid, M., & Medrianti, R. (2018). Learning uses media on the characteristics of the distribution of air temperature and wind speed on the coast of Bengkulu City. (In Indonesia). PENDIPA Journal of Science Education, 2(2), 123–130. https://doi.org/10.33369/pendipa.2.2.123-130
Warriss, P.D., A. Pagazaurtundua, and S.N. Brown (2005) Relationship between maximum daily temperature and mortality of broiler chickens during transport and lairage, British Poultry Science, 46:6, 647-651, DOI: 10.1080/00071660500393868