Spatial Analysis of Flood Risk Projections in Aceh Province Using Coupled Model Intercomparison Project Phase 6 (CMIP6) Climate Models and GIS
DOI:
https://doi.org/10.55927/fjas.v4i8.317Keywords:
Climate Change Model Scenarios, Flood Projections, CMIP6, SIGAbstract
This study projects the potential for flooding using the Coupled Model Intercomparison Project Phase 6 (CMIP6) scenario through a two-scenario approach, namely SSP2-4.5 (emission stabilization) and SSP5-8.5 (high emissions). This study compares the baseline period of 1991-2010 to the near-future projection of 2031-2050 using the NEX-GDDP-CMIP6 climate projection dataset of the TaiESM1 model, geospatial information consisting of Indonesian topographic data, land cover, soil type, the National digital elevation model (DEMNAS), and historical data of flood events for the period 2008-2024. The research method involves spatial analysis with Geographic Information Systems (GIS), weighting scores, interpolation, and validation against historical floods. The results of the study show that in 2031-2050, the area affected by flooding based on the climate change model scenario SSP2-4.5 (emission stabilization) for the vulnerable category was 13,759,858 km2 and the very vulnerable category was 2,549,715 km2.
References
Ali, S. A., Khatun, R., Ahmad, A., & Ahmad, S. N. (2019). Application of GIS-based analytic hierarchy process and frequency ratio model to flood vulnerable mapping and risk area estimation at Sundarban region, India. Modeling Earth Systems and Environment, 5(3). https://doi.org/10.1007/s40808-019-00593-z.
Almazroui, M., Ashfaq, M., Islam, M. N., Rashid, I. U., Kamil, S., Abid, M. A., O’Brien, E., Ismail, M., Reboita, M. S., Sörensson, A. A., Arias, P. A., Alves, L. M., Tippett, M. K., Saeed, S., Haarsma, R., Doblas-Reyes, F. J., Saeed, F., Kucharski, F., Nadeem, I., … Sylla, M. B. (2021). Assessment of CMIP6 Performance and Projected Temperature and Precipitation Changes Over South America. Earth Systems and Environment, 5(2). https://doi.org/10.1007/s41748-021-00233-6.
Avisse, N., Tilmant, A., François Müller, M., & Zhang, H. (2017). Monitoring small reservoirs’ storage with satellite remote sensing in inaccessible areas. Hydrology and Earth System Sciences, 21(12). https://doi.org/10.5194/hess-21-6445-2017.
Bauer, N., Hilaire, J., Brecha, R. J., Edmonds, J., Jiang, K., Kriegler, E., Rogner, H. H., & Sferra, F. (2016). Assessing global fossil fuel availability in a scenario framework. Energy, 111. https://doi.org/10.1016/j.energy.2016.05.088.
Bhanage, V., Lee, H. S., Cabrera, J. S., Kubota, T., Pradana, R. P., Fajary, F. R., & Nimiya, H. (2024). Identification of optimal CMIP6 GCMs for future typical meteorological year in major cities of Indonesia using multi-criteria decision analysis. Frontiers in Environmental Science, 12. https://doi.org/10.3389/fenvs.2024.1341807.
Di Virgilio, G., Ji, F., Tam, E., Nishant, N., Evans, J. P., Thomas, C., Riley, M. L., Beyer, K., Grose, M. R., Narsey, S., & Delage, F. (2022). Selecting CMIP6 GCMs for CORDEX Dynamical Downscaling: Model Performance, Independence, and Climate Change Signals. Earth’s Future, 10(4). https://doi.org/10.1029/2021EF002625.
Endiartia, J. J. (2021). From Southeast Asia to Indo-Pacific: How Far Indonesian Geostrategic Doctrine Shapes Its Position. Jurnal Mandala Jurnal Ilmu Hubungan Internasional. https://doi.org/10.33822/mjihi.v4i1.2187.
Fowler, H. J., Lenderink, G., Prein, A. F., Westra, S., Allan, R. P., Ban, N., Barbero, R., Berg, P., Blenkinsop, S., Do, H. X., Guerreiro, S., Haerter, J. O., Kendon, E. J., Lewis, E., Schaer, C., Sharma, A., Villarini, G., Wasko, C., & Zhang, X. (2021). Anthropogenic intensification of short-duration rainfall extremes. In Nature Reviews Earth and Environment (Vol. 2, Issue 2). https://doi.org/10.1038/s43017-020-00128-6.
Franci, F., Bitelli, G., Mandanici, E., Hadjimitsis, D., & Agapiou, A. (2016). Satellite remote sensing and GIS-based multi-criteria analysis for flood hazard mapping. Natural Hazards, 83. https://doi.org/10.1007/s11069-016-2504-9.
Gidden, M. J., Riahi, K., Smith, S. J., Fujimori, S., Luderer, G., Kriegler, E., Van Vuuren, D. P., Van Den Berg, M., Feng, L., Klein, D., Calvin, K., Doelman, J. C., Frank, S., Fricko, O., Harmsen, M., Hasegawa, T., Havlik, P., Hilaire, J., Hoesly, R., … Takahashi, K. (2019). Global emissions pathways under different socioeconomic scenarios for use in CMIP6: A dataset of harmonized emissions trajectories through the end of the century. Geoscientific Model Development, 12(4). https://doi.org/10.5194/gmd-12-1443-2019.
Hirabayashi, Y., Tanoue, M., Sasaki, O., Zhou, X., & Yamazaki, D. (2021). Global exposure to flooding from the new CMIP6 climate model projections. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-83279-w.
Hurtt, G. C., Chini, L., Sahajpal, R., Frolking, S., Bodirsky, B. L., Calvin, K., Doelman, J. C., Fisk, J., Fujimori, S., Goldewijk, K. K., Hasegawa, T., Havlik, P., Heinimann, A., Humpenöder, F., Jungclaus, J., Kaplan, J. O., Kennedy, J., Krisztin, T., Lawrence, D., … Zhang, X. (2020). Harmonization of global land use change and management for the period 850-2100 (LUH2) for CMIP6. Geoscientific Model Development, 13(11). https://doi.org/10.5194/gmd-13-5425-2020.
Janizadeh, S., Chandra Pal, S., Saha, A., Chowdhuri, I., Ahmadi, K., Mirzaei, S., Mosavi, A. H., & Tiefenbacher, J. P. (2021). Mapping the spatial and temporal variability of flood hazard affected by climate and land-use changes in the future. Journal of Environmental Management, 298. https://doi.org/10.1016/j.jenvman.2021.113551.
Kaps, A., Lauer, A., Camps-Valls, G., Gentine, P., Gomez-Chova, L., & Eyring, V. (2023). Machine-Learned Cloud Classes From Satellite Data for Process-Oriented Climate Model Evaluation. IEEE Transactions on Geoscience and Remote Sensing, 61. https://doi.org/10.1109/TGRS.2023.3237008.
Kwiatkowski, L., Torres, O., Bopp, L., Aumont, O., Chamberlain, M., R. Christian, J., P. Dunne, J., Gehlen, M., Ilyina, T., G. John, J., Lenton, A., Li, H., S. Lovenduski, N., C. Orr, J., Palmieri, J., Santana-Falcón, Y., Schwinger, J., Séférian, R., A. Stock, C., … Ziehn, T. (2020). Twenty-first century ocean warming, acidification, deoxygenation, and upper-ocean nutrient and primary production decline from CMIP6 model projections. Biogeosciences, 17(13). https://doi.org/10.5194/bg-17-3439-2020.
Meinshausen, M., Nicholls, Z. R. J., Lewis, J., Gidden, M. J., Vogel, E., Freund, M., Beyerle, U., Gessner, C., Nauels, A., Bauer, N., Canadell, J. G., Daniel, J. S., John, A., Krummel, P. B., Luderer, G., Meinshausen, N., Montzka, S. A., Rayner, P. J., Reimann, S., … Wang, R. H. J. (2020). The shared socio-economic pathway (SSP) greenhouse gas concentrations and their extensions to 2500. Geoscientific Model Development, 13(8). https://doi.org/10.5194/gmd-13-3571-2020.
Pasqui, M., & Di Giuseppe, E. (2019). Climate change, future warming, and adaptation in Europe. In Animal Frontiers (Vol. 9, Issue 1, pp. 6–11). Oxford University Press. https://doi.org/10.1093/af/vfy036.
Putera, P. B., Suryanto, S., Ningrum, S., Widianingsih, I., & Rianto, Y. (2022). STI Performance in Indonesia: Policies, Indicators, Current Achievements, and Recommendations for 2045. Journal of Scientometric Research, 11(2). https://doi.org/10.5530/jscires.11.2.29.
Radwan, F., Alazba, A. A., & Mossad, A. (2019). Flood risk assessment and mapping using AHP in arid and semiarid regions. Acta Geophysica, 67(1). https://doi.org/10.1007/s11600-018-0233-z.
Steinschneider, S., Wi, S., & Brown, C. (2015). The integrated effects of climate and hydrologic uncertainty on future flood risk assessments. Hydrological Processes, 29(12). https://doi.org/10.1002/hyp.10409.
Su, B., Huang, J., Mondal, S. K., Zhai, J., Wang, Y., Wen, S., Gao, M., Lv, Y., Jiang, S., Jiang, T., & Li, A. (2021). Insight from CMIP6 SSP-RCP scenarios for future drought characteristics in China. Atmospheric Research, 250. https://doi.org/10.1016/j.atmosres.2020.105375.
Sulaiman, N., Abdullah, N. M., Nazir, U., Ismail, M., Latib, S. K. K. A., & Mahmud, N. P. N. (2022). Geographical Information System (GIS) and Remote Sensing (RS) Applications in Disaster Risk Reduction (DRR) in Malaysia. International Journal of Integrated Engineering, 14(5). https://doi.org/10.30880/ijie.2022.14.05.003.
Supharatid, S., Nafung, J., & Aribarg, T. (2022). Projected changes in temperature and precipitation over mainland Southeast Asia by CMIP6 models. Journal of Water and Climate Change, 13(1). https://doi.org/10.2166/wcc.2021.015.
Tabari, H. (2020). Climate change impact on flood and extreme precipitation increases with water availability. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-70816-2.
Tebaldi, C., Debeire, K., Eyring, V., Fischer, E., Fyfe, J., Friedlingstein, P., Knutti, R., Lowe, J., O’Neill, B., Sanderson, B., Van Vuuren, D., Riahi, K., Meinshausen, M., Nicholls, Z., Tokarska, K., Hurtt, G., Kriegler, E., Meehl, G., Moss, R., … Ziehn, T. (2021). Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6. Earth System Dynamics, 12(1). https://doi.org/10.5194/esd-12-253-2021.
Tong, D., Cheng, J., Liu, Y., Yu, S., Yan, L., Hong, C., Qin, Y., Zhao, H., Zheng, Y., Geng, G., Li, M., Liu, F., Zhang, Y., Zheng, B., Clarke, L., & Zhang, Q. (2020). Dynamic projection of anthropogenic emissions in China: Methodology and 2015-2050 emission pathways under a range of socio-economic, climate policy, and pollution control scenarios. Atmospheric Chemistry and Physics, 20(9). https://doi.org/10.5194/acp-20-5729-2020.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Nengah Bennuwardana, Sukendra Martha, Yosef Prihanto, Dangan Waluyo, Firmansyah Firmansyah, Bachtiar Rifai

This work is licensed under a Creative Commons Attribution 4.0 International License.






















