Analysis of the Capital City of the Archipelago (IKN) in the Perspective of the Future Climate for the Period 2023-2050 using the Data of the SSP 2.0-4.5

Aqasha Raechan Anam, Bella Puspita Dewi, Fahmi Yuwan Purnama

Abstract


The Archipelago's Capital City Region (IKN) is a candidate for Indonesia's new capital city. It requires in-depth research across all relevant sectors to ensure the comfort of the people of Indonesia. Numerous studies have been conducted in various fields, including social, cultural, political, economic, and others. However, no study has provided a climate-based perspective on IKN compared to the others. Extreme climate indices calculation for the IKN region used the latest projection data, SSP, and statistical analysis techniques via R programming. According to 18 extreme climate indices, the IKN region is expected to experience an increasing trend in both temperature and precipitation indices until 2050. The temperature index that experienced the most significant increase is T90p, while the rainfall index is RX1day. In the IKN region, there is a difference of about 300 days between wet days (CWD) and dry days (CDD), with 350 days being wet and 35 days being dry. Spatial projection analysis has revealed an increase in CWD values in most of the IKN area during the rainy season and a decrease in CWD values during the dry season.


Keywords


Climate Projection, IKN, Shared Socio-Economic Pathways (SSP)

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References


Abbasi, Z. A. K., dan Nawaz, A. (2020). Impact of climate change awareness on climate change adaptions and climate change adaptation issues. Pakistan Journal of Agricultural Research, 33(3), 619.

Akinnusotu, A., Abulude, F. O., Adeoya, E. A., Adeyemi, O. O., Jiddah-Kazeem, S. B., Arifalo, K. M., ... & Sunday, A. (2023). Jurnal Geografi Gea. Jurnal Geografi Gea, 23(2), 91-106.

Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., & Taylor, K. E. (2016). Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization. Geoscientific Model Development, 9(5), 1937-1958.

Gusain, A., Ghosh, S., & Karmakar, S. (2020). Added value of CMIP6 over CMIP5 models in simulating Indian summer monsoon rainfall. Atmospheric Research, 232, 104680.

Hidayat, N. M., Pandiangan, A. E., & Pratiwi, A. (2018). Identifikasi perubahan curah hujan dan suhu udara menggunakan Rclimdex Di wilayah Serang. Jurnal Meteorologi Klimatologi dan Geofisika, 5(2), 37-44.

Jianfeng, L., Qiang, Z., & Yungang, B. (2012). Spatio-temporal Probability Behaviors of the Maximum Consecutive Wet Days in Xinjiang, China. Acta Geographica Sinica, 66(3), 312-320.

M. Munir. (2009). Studi respon curah hujan di kalimantan selatan terhadap indeks osilasi Selatan. Buletin Meteorologi dan Geofisika, 6 (1999).

Marzuki, M., Ramadhan, R., Yusnaini, H., Vonnisa, M., Safitri, R., & Yanfatriani, E. (2023). Changes in Extreme Rainfall in New Capital of Indonesia (IKN) Based on 20 Years of GPM-IMERG Data. Trends in Sciences, 20(11), 6935-6935.

Nastos, P. T., & Zerefos, C. S. (2009). Spatial and temporal variability of consecutive dry and wet days in Greece. Atmospheric Research, 94(4), 616-628.

Nurhayati, D., Dhokhikah, Y., & Mandala, M. (2020). Persepsi dan strategi adaptasi masyarakat terhadap perubahan iklim di kawasan Asia Tenggara. Jurnal Proteksi: Jurnal Lingkungan Berkelanjutan, 1(1), 39-44.

Perdinan, P. (2014). Perubahan iklim dan demokrasi: Ketersediaan dan akses informasi iklim, peranan pemerintah, dan partisipasi masyarakat dalam mendukung implementasi adaptasi perubahan iklim di Indonesia. Jurnal Hukum Lingkungan Indonesia, 1(1), 109-132.

Pörtner, H., Roberts, D., Poloczanska, E., Mitenbeck, K., Tignor, M., & Alegria, A. (2022). IPCC Sixth Assessment Report in Cambridge University Press.

Ridwana, R., Himayah, S., Rabbi, M. F. A., Lugina, I. M. A., Al Kautsar, A., & Sakti, A. D. (2023). Monitoring Aerosol Optical Depth for Air Quality Through Himawari-8 in Urban Area West Java Province Indonesia. Jurnal Geografi, 15(2), 182-194.

Saringatin, S., Ramadan, G. F., Widiastuti, E. I., & Arjasakusuma, S. (2022). Analysis of Urban Comfort Level in Java Island Based on Air Temperature and Air Quality in 2015–2019. Jurnal Geografi Gea, 22(1), 77-86.

Shi, J., Cui, L., Wen, K., Tian, Z., Wei, P., & Zhang, B. (2018). Trends in the consecutive days of temperature and precipitation extremes in China during 1961–2015. Environmental research, 161, 381-391.

Sulistiyono, W., Adianova, H., & Haryanto, Y. D. (2023). Verifikasi Data Suhu Udara Luaran Model Iklim CMIP5 Terhadap Data Observasi Pada Wilayah Palembang (Periode 1975-2005). Optika: Jurnal Pendidikan Fisika, 7(1), 146-154.

Surmaini, E., dan Faqih, A. (2016). Kejadian iklim ekstrem dan dampaknya terhadap pertanian tanaman pangan di Indonesia.

Suryadi, Y., Sugianto, D. N., & Hadiyanto, H. (2017). Identifikasi Perubahan Suhu dan Curah Hujan serta Proyeksinya di Kota Semarang. In Proceeding Biology Education Conference: Biology, Science, Environmental, and Learning, 14(1), pp. 241-246).

Suwarman, R., Riawan, E., Simanjuntak, Y. S. M., & Irawan, D. E. (2022). Kajian Perubahan Iklim di Pesisir Jakarta Berdasarkan Data Curah Hujan dan Temperatur. Buletin Oseanografi Marina, 11(1), 99-110.

Tuejeh, H., Meylani, E. S., & Jalaludin, M. (2023). The Effect of Temperature on the Development of Seagrass in the Waters of Pramuka Island, Kepulauan Seribu Regency, Jakarta, Indonesia. Jurnal Geografi Gea, 23(1), 1-7.

Tulak, N., Bungkang, Y., & Huda, H. (2022). Analisis spektral data curah hujan dan kejadian curah hujan ekstrim di wilayah Kota Jayapura. Jurnal Meteorologi dan Geofisika, 23(1), 47-54.

Wang, X., Hou, X., & Zhao, Y. (2021). Changes in consecutive dry/wet days and their relationships with local and remote climate drivers in the coastal area of China. Atmospheric Research, 247, 105138.

Zarrin, A., & Dadashi-Roudbari, A. (2021). Projected consecutive dry and wet days in Iran based on CMIP6 bias‐corrected multi‐model ensemble. Journal of the Earth and Space Physics, 47(3), 561-578.

Zhang, Q., Singh, V. P., Li, J., & Chen, X. (2011). Analysis of the periods of maximum consecutive wet days in China. Journal of Geophysical Research: Atmospheres, 116(D23).

Zhu, Y. Y., & Yang, S. (2020). Evaluation of CMIP6 for historical temperature and precipitation over the Tibetan Plateau and its comparison with CMIP5. Advances in Climate Change Research, 11(3), 239-251.

Zong, X., Yin, Y., Cui, T., Hou, W., & Deng, H. (2023). Spatiotemporal analysis of consecutive extreme wet days in China from 1980 to 2020. International Journal of Climatology, 43(6), 2975-2988.




DOI: https://doi.org/10.17509/gea.v24i1.62607

DOI (PDF): https://doi.org/10.17509/gea.v24i1.62607.g27105

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