Extreme Rainfall Trends and Hydrometeorological Disasters in Tropical Regions: Implications for Climate Resilience
Abstract
Doi: 10.28991/ESJ-2024-08-05-012
Full Text: PDF
Keywords
References
Lisnawati, Taufik, M., Dasanto, B. D., & Sopaheluwakan, A. (2022). Fire Danger on Jambi Peatland Indonesia based on Weather Research and Forecasting Model. Agromet, 36(1), 1–10. doi:10.29244/j.agromet.36.1.1-10.
Saragih, I. J. A., Tarigan, K., Sinambela, M., Situmorang, M., Sembiring, K., Humaidi, S., & Sirait, M. (2021). Utilization of Red-Green-Blue (RGB) modification composite for nighttime convective cloud monitoring over North Sumatra region. IOP Conference Series: Earth and Environmental Science, 893(1), 12019. doi:10.1088/1755-1315/893/1/012019.
Rais, A. F., Yunita, R., & Hananto, T. S. (2021). The Influence of Mesoscale Convective System on Extreme Rain on the West Coast of Sumatra. Majalah Geografi Indonesia, 35(1), 9. doi:10.22146/mgi.60598.
Merten, J., Stiegler, C., Hennings, N., Purnama, E. S., Röll, A., Agusta, H., Dippold, M. A., Fehrmann, L., Gunawan, D., Hölscher, D., Knohl, A., Kückes, J., Otten, F., Zemp, D. C., & Faust, H. (2020). Flooding and land use change in Jambi Province, Sumatra: Integrating local knowledge and scientific inquiry. Ecology and Society, 25(3), 1–29. doi:10.5751/ES-11678-250314.
BNPB. (2024). Geoportal Data Bencana Indonesia – BNPB, Jakarta, Indonesia. Available online: https://gis.bnpb.go.id (accessed on September 2024).
Sundari, C., Purnomo, E. P., Mutiarin, D., Adrian, M. M., Suling, C. F., & Pratama, I. (2022). Sustainable Forest Governance: A New Policy Strategy in Handling Forest Fires in Jambi Province. IOP Conference Series: Earth and Environmental Science, 1111(1), 12005. doi:10.1088/1755-1315/1111/1/012005.
Bonaccorso, B., & Peres, D. J. (2022). Analysis of Extreme Hydrometeorological Events. Resources, 11(6), 55. doi:10.3390/resources11060055.
Haider, S., Karim, M. R., Islam, M. S., Megumi, T. A., & Rahnama, Q. S. (2024). Extreme weather events and Spatio-temporal characterization of climate change variables in Bangladesh during 1975–2019. Heliyon, 10(5), e27118. doi:10.1016/j.heliyon.2024.e27118.
Taye, M. T., & Dyer, E. (2024). Hydrologic Extremes in a Changing Climate: a Review of Extremes in East Africa. Current Climate Change Reports, 10(1), 1–11. doi:10.1007/s40641-024-00193-9.
Bottino, M. J., Nobre, P., Giarolla, E., da Silva Junior, M. B., Capistrano, V. B., Malagutti, M., Tamaoki, J. N., de Oliveira, B. F. A., & Nobre, C. A. (2024). Amazon savannization and climate change are projected to increase dry season length and temperature extremes over Brazil. Scientific Reports, 14(1), 5131. doi:10.1038/s41598-024-55176-5.
Szöllősi-Nagy, A. (2022). On climate change, hydrological extremes and water security in a globalized world. Scientia et Securitas, 2(4), 504–509. doi:10.1556/112.2021.00081.
Zhu, H., Chen, K., Chai, H., Ye, Y., & Liu, W. (2024). Characterizing extreme drought and wetness in Guangdong, China using global navigation satellite system and precipitation data. Satellite Navigation, 5(1), 1-17. doi:10.1186/s43020-023-00121-6.
Misnawati, & Perdanawanti, M. (2019). Trend of Extreme Precipitation over Sumatera Island for 1981-2010. Agromet, 33(1), 41–51. doi:10.29244/j.agromet.33.1.41-51.
Manton, M. J., Della-Marta, P. M., Haylock, M. R., Hennessy, K. J., Nicholls, N., Chambers, L. E., Collins, D. A., Daw, G., Finet, A., Gunawan, D., Inape, K., Isobe, H., Kestin, T. S., Lefale, P., Leyu, C. H., Lwin, T., Maitrepierre, L., Ouprasitwong, N., Page, C. M., … Yee, D. (2001). Trends in extreme daily rainfall and temperature in southeast Asia and the south Pacific: 1961-1998. International Journal of Climatology, 21(3), 269–284. doi:10.1002/joc.610.
Azizah, S. N. N., June, T., Salmayenti, R., Ma’rufah, U., & Yonny Koesmaryono. (2022). Land Use Change Impact on Normalized Difference Vegetation Index, Surface Albedo, and Heat Fluxes in Jambi Province: Implications to Rainfall. Agromet, 36(1), 51–59. doi:10.29244/j.agromet.36.1.51-59.
Zhang, D., Yang, M., Ma, M., Tang, G., Wang, T., Zhao, X., Ma, S., Wu, J., & Wang, W. (2022). Can GPM IMERG Capture Extreme Precipitation in North China Plain? Remote Sensing, 14(4), 928. doi:10.3390/rs14040928.
Wei, L., Jiang, S., Ren, L., Zhang, L., Wang, M., & Duan, Z. (2020). Preliminary utility of the retrospective IMERG precipitation product for large-scale drought monitoring over Mainland China. Remote Sensing, 12(18), 2993. doi:10.3390/RS12182993.
Huffman, G. J., Bolvin, D. T., Braithwaite, D., Hsu, K. L., Joyce, R. J., Kidd, C., Nelkin, E. J., Sorooshian, S., Stocker, E. F., Tan, J., Wolff, D. B., & Xie, P. (2020). Integrated Multi-satellite Retrievals for the Global Precipitation Measurement (GPM) Mission (IMERG). Satellite Precipitation Measurement. Advances in Global Change Research, 67, Springer, Cham, Switzerland. doi:10.1007/978-3-030-24568-9_19.
Ramadhan, R., Yusnaini, H., Marzuki, M., Muharsyah, R., Suryanto, W., Sholihun, S., Vonnisa, M., Harmadi, H., Ningsih, A. P., Battaglia, A., Hashiguchi, H., & Tokay, A. (2022). Evaluation of GPM IMERG Performance Using Gauge Data over Indonesian Maritime Continent at Different Time Scales. Remote Sensing, 14(5), 1172. doi:10.3390/rs14051172.
Ramadhan, R., Marzuki, M., Yusnaini, H., Muharsyah, R., Suryanto, W., Sholihun, S., Vonnisa, M., Battaglia, A., & Hashiguchi, H. (2022). Capability of GPM IMERG Products for Extreme Precipitation Analysis over the Indonesian Maritime Continent. Remote Sensing, 14(2), 412. doi:10.3390/rs14020412.
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. doi:10.48048/tis.2023.6935.
Ramadhan, R., Marzuki, M., Suryanto, W., Sholihun, S., Yusnaini, H., Muharsyah, R., & Hanif, M. (2022). Trends in rainfall and hydrometeorological disasters in new capital city of Indonesia from long-term satellite-based precipitation products. Remote Sensing Applications: Society and Environment, 28, 100827. doi:10.1016/j.rsase.2022.100827.
Sen, P. K. (1968). Estimates of the Regression Coefficient Based on Kendall’s Tau. Journal of the American Statistical Association, 63(324), 1379–1389. doi:10.1080/01621459.1968.10480934.
Kahya, E., & Kalayci, S. (2004). Trend analysis of streamflow in Turkey. Journal of Hydrology, 289(1–4), 128–144. doi:10.1016/j.jhydrol.2003.11.006.
Shahid, S. (2011). Trends in extreme rainfall events of Bangladesh. Theoretical and Applied Climatology, 104(3–4), 489–499. doi:10.1007/s00704-010-0363-y.
Wilis, R., & Nugroho, S. (2017). The Decrasing Trend of Precipitation Observed at Watersheds in Padang for The Period 1975-2013. Sumatra Journal of Disaster, Geography and Geography Education, 1(2), 222. doi:10.24036/sjdgge.v1i2.82.
Zaki, M. K., Noda, K., Ito, K., Komariah, & Ariyanto, D. P. (2021). Long-term trends of diurnal rainfall and hydro-meteorological disaster in the new capital city of Indonesia. IOP Conference Series: Earth and Environmental Science, 724(1), 12046. doi:10.1088/1755-1315/724/1/012046.
Petrow, T., & Merz, B. (2009). Trends in flood magnitude, frequency and seasonality in Germany in the period 1951-2002. Journal of Hydrology, 371(1–4), 129–141. doi:10.1016/j.jhydrol.2009.03.024.
Bertola, M., Viglione, A., Lun, D., Hall, J., & Blöschl, G. (2019). Flood trends in Europe: are changes in small and big floods different? Hydrology and Earth System Sciences, 23(4), 1805–1822. doi:10.5194/HESS-2019-523.
Petley, D. N., Hearn, G. J., Hart, A., Rosser, N. J., Dunning, S. A., Oven, K., & Mitchell, W. A. (2007). Trends in landslide occurrence in Nepal. Natural Hazards, 43(1), 23–44. doi:10.1007/s11069-006-9100-3.
Gensini, V. A., & Brooks, H. E. (2018). Spatial trends in United States tornado frequency. NPJ Climate and Atmospheric Science, 1(1), 38. doi:10.1038/s41612-018-0048-2.
Ferijal, T., Batelaan, O., & Shanafield, M. (2021). Rainy season drought severity trend analysis of the Indonesian maritime continent. International Journal of Climatology, 41(S1), E2194–E2210. doi:10.1002/joc.6840.
Riyanto, I. A., Cahyadi, A., Kurniadhini, F., Bachtiar, H., Apriyana, D., & Aji Caraka, B. K. (2020). Understanding forest fire management in Indonesia from a global perspective. ASEAN Journal on Science and Technology for Development, 37(1), 1–6. doi:10.29037/AJSTD.593.
Fitriany, A. A., Flatau, P. J., Khoirunurrofik, K., & Riama, N. F. (2021). Assessment on the use of meteorological and social media information for forest fire detection and prediction in Riau, Indonesia. Sustainability (Switzerland), 13(20), 11188. doi:10.3390/su132011188.
Limia Budiarti, R., & Rahayu, M. S. (2022). Clustering Analysis of Disaster-Prone Zones at the Jambi Province Basarnas Office Using the K-Means Method. Jurnal Akademika, 15(1), 83–89. doi:10.53564/akademika.v15i1.847.
Sze, J. S., Jefferson, & Lee, J. S. H. (2019). Evaluating the social and environmental factors behind the 2015 extreme fire event in Sumatra, Indonesia. Environmental Research Letters, 14(1), 15001. doi:10.1088/1748-9326/aaee1d.
Muñoz-Torrero Manchado, A., Allen, S., Ballesteros-Cánovas, J. A., Dhakal, A., Dhital, M. R., & Stoffel, M. (2021). Three decades of landslide activity in western Nepal: new insights into trends and climate drivers. Landslides, 18(6), 2001–2015. doi:10.1007/s10346-021-01632-6.
Mateo, J., Ballart, D., Brucet, C., Aran, M., & Bech, J. (2009). A study of a heavy rainfall event and a tornado outbreak during the passage of a squall line over Catalonia. Atmospheric Research, 93(1–3), 131–146. doi:10.1016/j.atmosres.2008.09.030.
Rodysill, J. R., Russell, J. M., Crausbay, S. D., Bijaksana, S., Vuille, M., Edwards, R. L., & Cheng, H. (2013). A severe drought during the last millennium in East Java, Indonesia. Quaternary Science Reviews, 80, 102–111. doi:10.1016/j.quascirev.2013.09.005.
Mulyanti, H., Istadi, I., & Gernowo, R. (2023). Historical, Recent, and Future Threat of Drought on Agriculture in East Java, Indonesia: A Review. E3S Web of Conferences, 448, 3016. doi:10.1051/e3sconf/202344803016.
Gatto, M., Wollni, M., & Qaim, M. (2015). Oil palm boom and land-use dynamics in Indonesia: The role of policies and socioeconomic factors. Land Use Policy, 46, 292–303. doi:10.1016/j.landusepol.2015.03.001.
Ma’rufah, U., June, T., Ali, A. A., Faqih, A., Koesmaryono, Y., Stiegler, C., & Knohl, A. (2022). Vulnerability of Primary Productivity and Its Carbon Use Efficiency to Unfavorable Climatic Conditions in Jambi Province, Indonesia. Journal of Mathematical and Fundamental Sciences, 54(1), 54–75. doi:10.5614/j.math.fund.sci.2022.54.1.4.
Aulia, F. R., June, T., & Koesmaryono, Y. (2022). Increasing smog haze and its impact on oil palm evapotranspiration and gross primary production during the 2015 fire: special discussion on diffuse radiation. Jurnal Pengelolaan Sumberdaya Alam Dan Lingkungan, 12(3), 511–521. doi:10.29244/jpsl.12.3.511-521.
Dafri, M., Nurdiati, S., & Sopaheluwakan, A. (2021). Quantifying ENSO and IOD impact to hotspot in Indonesia based on Heterogeneous Correlation Map (HCM). Journal of Physics: Conference Series, 1869(1), 12150. doi:10.1088/1742-6596/1869/1/012150.
Zaini, A. Z. A., Vonnisa, M., & Marzuki, M. (2024). Impact of different ENSO positions and Indian Ocean Dipole events on Indonesian rainfall. Vietnam Journal of Earth Sciences, 46(1), 100–119. doi:10.15625/2615-9783/19926.
Stolle, F., Chomitz, K. M., Lambin, E. F., & Tomich, T. P. (2003). Land use and vegetation fires in Jambi Province, Sumatra, Indonesia. Forest Ecology and Management, 179(1–3), 277–292. doi:10.1016/S0378-1127(02)00547-9.
Achmad, E., Nengah Surati Jaya, I., Saleh, M. B., & Kuncahyo, B. (2013). Biomass estimation using ALOS PALSAR for identification of lowland forest transition ecosystem in Jambi province. Jurnal Manajemen Hutan Tropika, 19(2), 145–155. doi:10.7226/jtfm.19.2.145.
Thoha, A. S., Saharjo, B. H., Boer, R., & Ardiansyah, M. (2019). Characteristics and causes of forest and land fires in Kapuas district, Central Kalimantan Province, Indonesia. Biodiversitas, 20(1), 110–117. doi:10.13057/biodiv/d200113.
Ponomarev, E. I., Kharuk, V. I., & Ranson, K. J. (2016). Wildfires dynamics in Siberian larch forests. Forests, 7(6), 125. doi:10.3390/f7060125.
Riley, K. L., Abatzoglou, J. T., Grenfell, I. C., Klene, A. E., & Heinsch, F. A. (2013). The relationship of large fire occurrence with drought and fire danger indices in the western USA, 1984-2008: the role of temporal scale. International Journal of Wildland Fire, 22(7), 894–909. doi:10.1071/WF12149.
McEvoy, D. J., Hobbins, M., Brown, T. J., VanderMolen, K., Wall, T., Huntington, J. L., & Svoboda, M. (2019). Establishing relationships between drought indices and wildfire danger outputs: A test case for the California-Nevada drought early warning system. Climate, 7(4), 52. doi:10.3390/cli7040052.
Pontoh, R. S., Pinem, F. F., Ritma, A. P. N., & Putri, I. A. C. (2022). Losses and Impacts of Forest and Land Fires in the Economic and Health Sector in Indonesia. Environmental and Ecological Statistics, 1-27.
Guhathakurta, P., Sreejith, O. P., & Menon, P. A. (2011). Impact of climate change on extreme rainfall events and flood risk in India. Journal of Earth System Science, 120(3), 359–373. doi:10.1007/s12040-011-0082-5.
Tazen, F., Diarra, A., Kabore, R. F. W., Ibrahim, B., Bologo/Traoré, M., Traoré, K., & Karambiri, H. (2019). Trends in flood events and their relationship to extreme rainfall in an urban area of Sahelian West Africa: The case study of Ouagadougou, Burkina Faso. Journal of Flood Risk Management, 12(S1), 12507. doi:10.1111/jfr3.12507.
Al-Hinai, H., & Abdalla, R. (2021). Mapping coastal flood susceptible areas using shannon’s entropy model: The case of muscat governorate, Oman. ISPRS International Journal of Geo-Information, 10(4), 252. doi:10.3390/ijgi10040252.
Ghanbari, M., Arabi, M., Kao, S. C., Obeysekera, J., & Sweet, W. (2021). Climate Change and Changes in Compound Coastal-Riverine Flooding Hazard Along the U.S. Coasts. Earth’s Future, 9(5), 2021 002055. doi:10.1029/2021EF002055.
Chen, Y. C., Chang, K. T., Chiu, Y. J., Lau, S. M., & Lee, H. Y. (2013). Quantifying rainfall controls on catchment-scale landslide erosion in Taiwan. Earth Surface Processes and Landforms, 38(4), 372–382. doi:10.1002/esp.3284.
Mallick, J., Alqadhi, S., Talukdar, S., Alsubih, M., Ahmed, M., Khan, R. A., Kahla, N. Ben, & Abutayeh, S. M. (2021). Risk assessment of resources exposed to rainfall induced landslide with the development of GIS and RS based ensemble metaheuristic machine learning algorithms. Sustainability (Switzerland), 13(2), 1–30. doi:10.3390/su13020457.
Kumar, A., Asthana, A. K. L., Priyanka, R. S., Jayangondaperumal, R., Gupta, A. K., & Bhakuni, S. S. (2017). Assessment of landslide hazards induced by extreme rainfall event in Jammu and Kashmir Himalaya, northwest India. Geomorphology, 284, 72–87. doi:10.1016/j.geomorph.2017.01.003.
Pham, B. T., Phong, T. V., Avand, M., Al-Ansari, N., Singh, S. K., Le, H. V., & Prakash, I. (2020). Improving Voting Feature Intervals for Spatial Prediction of Landslides. Mathematical Problems in Engineering, 2020, 1–15. doi:10.1155/2020/4310791.
Gao, J. (1993). Identification of topographic settings conducive to landsliding from dem in Nelson County, Virginia, U.S.A. Earth Surface Processes and Landforms, 18(7), 579–591. doi:10.1002/esp.3290180702.
Rhodes, C. L., & Senkbeil, J. C. (2014). Factors contributing to tornado genesis in land falling Gulf of Mexico tropical cyclones. Meteorological Applications, 21(4), 940–947. doi:10.1002/met.1437.
Allen, J. T., Allen, E. R., Richter, H., & Lepore, C. (2021). Australian tornadoes in 2013: Implications for climatology and forecasting. Monthly Weather Review, 149(5), 1211–1232. doi:10.1175/MWR-D-20-0248.1.
Miller, D. E., Wang, Z., Trapp, R. J., & Harnos, D. S. (2020). Hybrid Prediction of Weekly Tornado Activity Out to Week 3: Utilizing Weather Regimes. Geophysical Research Letters, 47(9), 2020 087253. doi:10.1029/2020GL087253.
Peng, J., Dadson, S., Leng, G., Duan, Z., Jagdhuber, T., Guo, W., & Ludwig, R. (2019). The impact of the Madden-Julian Oscillation on hydrological extremes. Journal of Hydrology, 571, 142–149. doi:10.1016/j.jhydrol.2019.01.055.
Sharma, H. (2021). Statistical significance or clinical significance? A researcher’s dilemma for appropriate interpretation of research results. Saudi Journal of Anaesthesia, 15(4), 431–434. doi:10.4103/sja.sja_158_21.
Yamaguchi, M., Uga, D., Nakazawa, R., & Sakamoto, M. (2020). Reliability and validity of the Mongolian version of the Zarit Caregiver Burden Interview. Journal of Physical Therapy Science, 32(7), 449–453. doi:10.1589/jpts.32.449.
DOI: 10.28991/ESJ-2024-08-05-012
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Marzuki Marzuki