Scenario-Neutral Assessment of Rainfall–Erosion Sensitivity Using RUSLE in the Sempor Reservoir Catchment, Indonesia
DOI:
https://doi.org/10.22146/jcef.18862Keywords:
Climate change, RUSLE, Scenario–neutral, Soil erosion, Reservoir sedimentationAbstract
Rainfall variability poses a substantial threat to reservoir sustainability in tropical monsoon catchments because changes in rainfall intensity and seasonality directly influence soil detachment, runoff generation, and sediment source pressure. Conventional climate–impact assessments commonly rely on a limited number of deterministic climate projections, which may obscure the broader sensitivity of catchment erosion to plausible rainfall changes. This study integrates a scenario–neutral (SN) framework with the Revised Universal Soil Loss Equation (RUSLE) to evaluate rainfall–erosion sensitivity in the Sempor Reservoir catchment, Central Java, Indonesia. Historical daily rainfall was used to establish the baseline, while systematic perturbations of annual precipitation, seasonal rainfall distribution, wet–day frequency, and extreme rainfall intensity were used to construct a broad rainfall–exposure space. Changes in rainfall erosivity were subsequently propagated through RUSLE while soil erodibility, topography, land cover, and support–practice factors were held constant. The resulting estimates represent potential hillslope soil loss and sediment–source pressure rather than direct measurements of sediment delivery or reservoir deposition. The results reveal pronounced seasonal and spatial contrasts. Wet–season rainfall contributes more than 60% of annual rainfall erosivity and approximately 70–80% of annual estimated soil loss. The greatest estimated erosion occurs where relatively high rainfall erosivity coincides with higher soil–erodibility, topographic, cover–management, and support practice factors. Increasing wet–season rainfall produces a marked increase in estimated soil loss, indicating that erosion sensitivity is influenced by rainfall timing and intensity as well as annual rainfall totals. The scenario neutral simulations reproduce baseline medians and seasonal patterns consistently but attenuate the upper distribution tails and consequently underrepresent rare extreme events. The integrated SN–RUSLE framework therefore provides a transparent approach for diagnosing rainfall–erosion sensitivity under climate uncertainty. The findings support prioritising wet–season erosion control, maintaining vegetation cover, and implementing spatially targeted conservation measures in areas with higher estimated erosion potential.
References
Aldrian, E. and Dwi Susanto, R. (2003), ‘Identification of three dominant rainfall regions within indonesia and their relationship to sea surface temperature’, International Journal of Climatology 23(12), 1435–1452. URL: https://doi.org/10.1002/joc.950
Bennett, G., Bussi, G., Whitehead, P. G., Bowes, M. J., Read, D. S. and Collins, A. L. (2021), ‘Evaluating impacts of climate change on river sediment dynamics in the uk: A modelling approach’, Environmental Research Letters 16(9), 094014. URL: https://doi.org/10.1088/1748-9326/ac1a89
Borrelli, P., Robinson, D. A., Panagos, P., Lugato, E., Yang, J. E., Alewell, C. and Montanarella, L. (2017), ‘Land use and climate change impacts on global soil erosion by water (2015–2070)’, Proceedings of the National Academy of Sciences 114(36), 9707–9712. URL: https://doi.org/10.1073/pnas.1707936114
Budiman, S. and Suprayogi, S. (2024), ‘Estimating the useful life of the sempor reservoir using erosion modelling’, Quaestiones Geographicae 43(1), 63–78. URL: https://doi.org/10.14746/quageo-2024-0004
Dexter, A. R. (2004), ‘Soil physical quality: Part i. theory, effects of soil texture, density, and organic matter, and effects on root growth’, Geoderma 120(3–4), 201–214. URL: https://doi.org/10.1016/j.geoderma.2003.09.004
Guo, W., Wang, L., Wang, J., Bai, X. and Zhang, S. (2017), ‘Impacts of extreme precipitation events on soil erosion and the effectiveness of vegetation in soil conservation’, Hydrological Processes 31(18), 3284–3296. URL: https://doi.org/10.1002/hyp.11260
Haqdad, K. M. T., Satofuka, Y., Fujimoto, M. and Murata, M. (2025), ‘Impact of tree canopy elevation on rainfall attenuation and soil erosion dynamics for enhanced erosion control’, Journal of the Civil Engineering Forum 11(3), 267–274. URL: https://doi.org/10.22146/jcef.18539
Hassink, J., Bouma, J. and van Noordwijk, M. (1997), ‘Interrelationships between texture, organic carbon storage, macroaggregation, and sustainability of management practices in tropical soils’, Soil Science Society of America Journal 61(5), 1061–1067. URL: https://doi.org/10.2136/sssaj1997.03615995006100050006x
Lal, R. (2001), ‘Soil degradation by erosion’, Land Degradation & Development 12(6), 519–539. URL: https://doi.org/10.1002/ldr.472
Lu, H., Moran, C. J. and Prosser, I. P. (2006), ‘Modelling sediment delivery ratio over the murray darling basin’, Environmental Modelling & Software 21(9), 1297–1308. URL: https://doi.org/10.1016/j.envsoft.2005.04.021
Moore, I. D., Grayson, R. B. and Ladson, A. R. (1991), ‘Digital terrain modelling: A review of hydrological, geomorphological, and biological applications’, Hydrological Processes 5(1), 3–30. URL: https://doi.org/10.1002/hyp.3360050103
Morgan, R. P. C. (2005), Soil Erosion and Conservation, 3rd edn, Blackwell Publishing, Oxford. Nearing, M. A., Pruski, F. F. and O’Neal, M. R. (2004), ‘Expected climate change impacts on soil erosion rates: A review’, Journal of Soil and Water Conservation 59(1), 43–50. URL: https://www.jswconline.org/content/59/1/43
Olii, M. R., Mokarram, M., Anshari, E., Olii, R. S. N. and Pakaya, R. (2026), ‘Machine learning approaches to soil erosion risk mapping: A comparison between logistic regression and fast large margin’, Journal of the Civil Engineering Forum 12(2), 267–280. URL: https://doi.org/10.22146/jcef.24796
Panagos, P., Borrelli, P., Meusburger, K., Alewell, C., Lugato, E. and Montanarella, L. (2015), ‘Estimating the soil erosion cover-management factor at European scale’, Land Use Policy 48, 38–50. URL: https://doi.org/10.1016/j.landusepol.2015.05.021
Pimentel, D. and Burgess, M. (2013), ‘Soil erosion threatens food production’, Agriculture 3(3), 443–463. URL: https://doi.org/10.3390/agriculture3030443
Pruski, F. F. and Nearing, M. A. (2002), ‘Runoff and soilloss responses to changes in precipitation: A computer simulation study’, Journal of Soil and Water Conservation 57(1), 7–16. URL: https://www.jswconline.org/content/57/1/7
Renard, K. G., Foster, G. R., Weesies, G. A., McCool, D. K. and Yoder, D. C. (1997), Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE), Vol. 703 of Agricultural Handbook, USDA.
Supari, S., Tangang, F., Juneng, L. and Aldrian, E. (2017), ‘Observed trends and projected changes in rainfall characteristics over indonesia based on daily rainfall data’, International Journal of Climatology 37(4), 1979–1990. URL: https://doi.org/10.1002/joc.4829
Tangang, F., Chung, J. X., Juneng, L., Supari, Salimun, E., Ngai, S. T., Jamaluddin, A. F., Mohd, M. S. F., Cruz, F., Narisma, G., Santisirisomboon, J., Ngo-Duc, T., Tan, P. V., Singhruck, P., Gunawan, D., Aldrian, E., Sopaheluwakan, A., Nikulin, G., Remedio, A. R. C., Sein, D. V., Hein-Griggs, D., McGregor, J. L., Yang, H., Sasaki, H. and Kumar, P. (2020), ‘Projected future changes in rainfall in southeast asia based on cordex–sea multimodel simulations’, Climate Dynamics 55, 1247–1267. URL: https://doi.org/10.1007/s00382-020-05322-2
Trimble, S. W. and Crosson, P. (2000), ‘U.S. soil erosion rates—myth and reality’, Science 289(5477), 248–250. URL: https://doi.org/10.1126/science.289.5477.248
Vanacker, V., von Blanckenburg, F., Govers, G., Barrios, M. and Poortinga, A. (2007), ‘Restoring ecosystem functioning in degraded lands’, Science 315(5819), 557–558. URL: https://doi.org/10.1126/science.1139563
Walling, D. E. and Fang, D. (2003), ‘Recent trends in the suspended sediment loads of the world’s rivers’, Global and Planetary Change 39(1–2), 111–126. URL: https://doi.org/10.1016/S0921-8181(03)00020-1
Wischmeier, W. H. and Smith, D. D. (1978), Predicting Rainfall Erosion Losses: A Guide to Conservation Planning, Vol. 537 of Agricultural Handbook, USDA. URL: https://naldc.nal.usda.gov/catalog/CAT79706928
Yuliana, A., Sujono, J. and Karlina (2024), ‘Analysis of extreme rainfall in the mt. merapi area’, Journal of the Civil Engineering Forum 10(1), 73–84. URL: https://doi.org/10.22146/jcef.10084
Zhang, X. C., Nearing, M. A., Garbrecht, J. D. and Steiner, J. L. (2004), ‘Downscaling monthly forecasts to simulate impacts of climate change on soil erosion and wheat production’, Soil Science Society of America Journal 68(4), 1376–1385. URL: https://doi.org/10.2136/sssaj2004.1376
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