Analysis of Meteorological Drought Propagation to Hydrological Drought in the Tarei Watershed, Sumbawa River Basin
DOI:
10.29303/jppipa.v12i9.15634Published:
2026-09-30Downloads
Abstract
Drought is a type of natural disaster that progresses slowly and persists over an extended period until the rainy season arrives. Deficit in precipitation is referred to as meteorological drought, deficiency in soil moisture is defined as agricultural drought, and shortages in groundwater, river streamflow, and lake storage are known as hydrological drought. Monitoring and predicting drought are crucial activities to anticipate and mitigate its impacts. This study aims to determine the drought indices and the propagation of meteorological drought into hydrological drought in the Tarei Watershed using the Standardized Precipitation Index (SPI) and Standardized Streamflow Index (SSI) methods. The SPI and SSI methods can identify potential droughts, as precipitation and discharge are the primary indicators of meteorological and hydrological droughts, respectively. The propagation of meteorological drought to hydrological drought was then analyzed using Pearson Correlation. The drought analysis using the SPI method in the Tarei Watershed revealed that the "exceptionally dry" category occurred in December 2001, February 2004, March 2012, and January 2023, with drought indices of -2.445, -2.633, -2.332, and -2.177, respectively. Meanwhile, using the SSI method, hydrological drought in the Tarei Watershed under the "exceptionally dry" category occurred in March 2022, October 2023, March 2024, and March 2025, with drought indices of -3.515, -2.773, -3.048, and -2.425, respectively. Drought propagation was evaluated by correlating SPI values against SSI using 1-month, 2-month, and 3-month time steps. The highest 1-month correlation occurred at a 0-month lag with a value of 0.683, while the 2-month and 3-month methods yielded the highest correlation values of 0.955 and 0.950, respectively. These results indicate a strong correlation between hydrological and meteorological drought in the Tarei Watershed, which can serve as a guideline for anticipating hydrological drought
Keywords:
Drought Hydrological drought Meteorological drought TareiReferences
Abdurrhaman, M. (2011). Dasar-Dasar Metode Statistika. Pustaka Setia.
Amalo, L. F., Hidayat, R., & Sulma, S. (2018). Analysis of Agricultural Drought in East Java Using Vegetation Health Index. AGRIVITA Journal of Agricultural Science, 40(1), 63–73. https://doi.org/10.17503/agrivita.v40i1.1080
Barker, L. J., Hannaford, J., Chiverton, A., & Svensson, C. (2016). From meteorological to hydrological drought using standardised indicators. Hydrology and Earth System Sciences, 20(6), 2483–2505. https://doi.org/10.5194/hess-20-2483-2016
Bhardwaj, K., Shah, D., Aadhar, S., & Mishra, V. (2020). Propagation of Meteorological to Hydrological Droughts in India. Journal of Geophysical Research: Atmospheres, 125(22), 2020 033455. https://doi.org/10.1029/2020JD033455
Black, P. E. (2024). Meteorological Drought. Water Drops, 45, 68–68. https://doi.org/10.2307/jj.18376987.67
D’Arrigo, R., & Wilson, R. (2008). El Niño and Indian Ocean influences on Indonesian drought: implications for forecasting rainfall and crop productivity. International Journal of Climatology, 28(5), 611–616. https://doi.org/10.1002/joc.1654
Guttman, N. B. (1999). Accepting The Standardized Precipitation Index: A Calculation Algorithm 1. JAWRA Journal of the American Water Resources Association, 35(2), 311–322. https://doi.org/10.1111/j.1752-1688.1999.tb03592.x
Heim, R. R. (2002). A Review of Twentieth-Century Drought Indices Used in the United States. Bulletin of the American Meteorological Society, 83(8), 1149–1166. https://doi.org/10.1175/1520-0477-83.8.1149
Lloyd‐Hughes, B., & Saunders, M. A. (2002). A drought climatology for Europe. International Journal of Climatology, 22(13), 1571–1592. https://doi.org/10.1002/joc.846
Lorenzo-Lacruz, J., Vicente-Serrano, S., González-Hidalgo, J., López-Moreno, J., & Cortesi, N. (2013). Hydrological drought response to meteorological drought in the Iberian Peninsula. Climate Research, 58(2), 117–131. https://doi.org/10.3354/cr01177
Mckee, B., Doesken, J., & J.Kleist. (1993). The Relationship Of Drought Frequency And Duration To Time Scales Thomas. Journal of Surgical Oncology, 105(8), 818–824. Retrieved from https://www.semanticscholar.org/paper/c3f7136d6cb726b295eb34565a8270177c57f40f
Mishra, A. K., & Singh, V. P. (2010). A review of drought concepts. Journal of Hydrology, 391(1–2), 202–216. https://doi.org/10.1016/j.jhydrol.2010.07.012
Mishra, A. K., & Singh, V. P. (2011). Drought modeling – A review. Journal of Hydrology, 403(1–2), 157–175. https://doi.org/10.1016/j.jhydrol.2011.03.049
Nalbantis, I. (2008). Evaluation of a Hydrological Drought Index. European Water, 2324(24), 67–77. Retrieved from https://www.ewra.net/ew/pdf/EW_2008_23-24_06.pdf
Shukla, S., & Wood, A. W. (2008). Use of a Standardized Runoff Index for Characterizing Hydrologic Drought. Geophysical Research Letters, 35, 2405. https://doi.org/10.1029/2007GL032487
Svoboda, M., Hayes, M., & Wood, D. (1987). Standardized Precipitation Index User Guide. Journal of Applied Bacteriology, 63(3), 197–200. Retrieved from https://library.wmo.int/records/item/39629-standardized-precipitation-index-user-guide
Tallaksen, L. M., & Van Lanen, H. a J. (2004). Hydrological Drought, Volume 48: Processes and Estimation Methods for Streamflow and Groundwater. Development in Water Science, 48, 579. Retrieved from http://www.amazon.com/dp/0444516883
Van Loon, A. F. (2015). Hydrological drought explained. WIREs Water, 2(4), 359–392. https://doi.org/10.1002/wat2.1085
Van Loon, A. F., & Van Lanen, H. A. J. (2012). A process-based typology of hydrological drought. Hydrology and Earth System Sciences, 16(7), 1915–1946. https://doi.org/10.5194/hess-16-1915-2012
Vicente-Serrano, S. M., & López-Moreno, J. I. (2005). Hydrological response to different time scales of climatological drought: an evaluation of the Standardized Precipitation Index in a mountainous Mediterranean basin. Hydrology and Earth System Sciences, 9(5), 523–533. https://doi.org/10.5194/hess-9-523-2005
Vicente-Serrano, S. M., López-Moreno, J. I., Beguería, S., Lorenzo-Lacruz, J., Azorin-Molina, C., & Morán-Tejeda, E. (2012). Accurate Computation of a Streamflow Drought Index. Journal of Hydrologic Engineering, 17(2), 318–332. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000433
Wilhite, D. A., & Glantz, M. H. (1985). Understanding: the Drought Phenomenon: The Role of Definitions. Water International, 10(3), 111–120. https://doi.org/10.1080/02508068508686328
License
Copyright (c) 2026 Muhammad Qolby Nuro, I Wayan Yasa, Heri Sulistiyono

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with Jurnal Penelitian Pendidikan IPA, agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License (CC-BY License). This license allows authors to use all articles, data sets, graphics, and appendices in data mining applications, search engines, web sites, blogs, and other platforms by providing an appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in Jurnal Penelitian Pendidikan IPA.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

