HYDROLOGICAL MODELING OF PEAK DISCHARGE REDUCTION THROUGH DISTRIBUTED STORAGE SYSTEMS IN IRRIGATED CATCHMENTS

Nurnawaty Nurnawaty

doi:10.59003/nhj.v3i8.2168

Authors

Nurnawaty Nurnawaty Universitas Muhammadiyah Makassar

DOI:

https://doi.org/10.59003/nhj.v3i8.2168

Keywords:

Distributed Hydrological Modeling, Peak Discharge Reduction, Antecedent Storage, Active Reservoir Management, Quantitative Precipitation Forecast (QPF)

Abstract

Accurately simulating flood attenuation across heavily modified agricultural landscapes remains a major challenge in large-sample hydrology. This study evaluates a coupled distributed hydrological-hydrodynamic framework across 47 irrigated catchments to assess peak-flow reductions and temporal delays induced by distributed farm dams. Local model calibration via the L-BFGS-B algorithm yielded a mean Kling-Gupta Efficiency () of 0.1657, revealing systematic underestimation () and high runoff variability (). Scenario simulations show that antecedent storage capacity strongly controls flood mitigation; under passive operation, empty reservoirs achieved a mean Peak Discharge Reduction (PDR) of 26.227%, while full reservoirs achieved a mean PDR of 6.084%. Integrating predictive active management using Quantitative Precipitation Forecasts (QPF) maximizes flood retention, generating net temporal gains of up to +4.70 hours and extending lag times to 8.20 hours. Spatial analysis confirmed that maximum attenuation (>40%) clusters in lowland alluvial floodplains with dense reservoir networks.

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References

Acuña-Alonso, C., Novo, A., Rodríguez, J. L., Varandas, S., & Álvarez, X. (2022). Modelling and evaluation of land use changes through satellite images in a multifunctional catchment: Social, economic and environmental implications. Ecological Informatics, 71, 101777. https://doi.org/https://doi.org/10.1016/j.ecoinf.2022.101777

Ang, R., Kinouchi, T., & Zhao, W. (2022). Evaluation of daily gridded meteorological datasets for hydrological modeling in data-sparse basins of the largest lake in Southeast Asia. Journal of Hydrology: Regional Studies, 42, 101135. https://doi.org/https://doi.org/10.1016/j.ejrh.2022.101135

Armstrong, M. S., Kiem, A. S., & Vance, T. R. (2020). Comparing instrumental, palaeoclimate, and projected rainfall data: Implications for water resources management and hydrological modelling. Journal of Hydrology: Regional Studies, 31, 100728. https://doi.org/https://doi.org/10.1016/j.ejrh.2020.100728

Asselman, N., de Jong, J. S., Kroekenstoel, D., & Folkertsma, S. (2022). The importance of peak attenuation for flood risk management, exemplified on the Meuse River, the Netherlands. Water Security, 15, 100114. https://doi.org/https://doi.org/10.1016/j.wasec.2022.100114

Avesani, D., Galletti, A., Piccolroaz, S., Bellin, A., & Majone, B. (2021). A dual-layer MPI continuous large-scale hydrological model including Human Systems. Environmental Modelling & Software, 139, 105003. https://doi.org/https://doi.org/10.1016/j.envsoft.2021.105003

Bacci, M., Dal Molin, M., Fenicia, F., Reichert, P., & Šukys, J. (2022). Application of stochastic time dependent parameters to improve the characterization of uncertainty in conceptual hydrological models. Journal of Hydrology, 612, 128057. https://doi.org/https://doi.org/10.1016/j.jhydrol.2022.128057

Balkhair, K. S., Masood, A., Almazroui, M., Rahman, K. U., Bamaga, O. A., Kamis, A. S., Ahmed, I., Al-Zahrani, M. I., & Hesham, K. (2018). Groundwater share quantification through flood hydrographs simulation using two temporal rainfall distributions. Desalination and Water Treatment, 114, 109–119. https://doi.org/https://doi.org/10.5004/dwt.2018.22346

Bastola, S. (2022). The regionalization of a parameter of HYMOD, a conceptual hydrological model, using data from across the globe. HydroResearch, 5, 13–21. https://doi.org/https://doi.org/10.1016/j.hydres.2022.01.001

Biggs, T., Zeigler, A., & Taniguchi-Quan, K. T. (2022). Runoff and sediment loads in the Tijuana River: Dam effects, extreme events, and change during urbanization. Journal of Hydrology: Regional Studies, 42, 101162. https://doi.org/https://doi.org/10.1016/j.ejrh.2022.101162

Bouizrou, I., Chahinian, N., Perrin, J.-L., Müller, R., & Rais, N. (2021). Network representation in hydrological modelling on urban catchments in data-scarce contexts: A case study on the Oued Fez catchment (Morocco). Journal of Hydrology: Regional Studies, 34, 100800. https://doi.org/https://doi.org/10.1016/j.ejrh.2021.100800

Bucała-Hrabia, A., Kijowska-Strugała, M., Bryndal, T., Cebulski, J., Kiszka, K., & Kroczak, R. (2020). An integrated approach for investigating geomorphic changes due to flash flooding in two small stream channels (Western Polish Carpathians). Journal of Hydrology: Regional Studies, 31, 100731. https://doi.org/https://doi.org/10.1016/j.ejrh.2020.100731

Di Marco, N., Avesani, D., Righetti, M., Zaramella, M., Majone, B., & Borga, M. (2021). Reducing hydrological modelling uncertainty by using MODIS snow cover data and a topography-based distribution function snowmelt model. Journal of Hydrology, 599, 126020. https://doi.org/https://doi.org/10.1016/j.jhydrol.2021.126020

Ezz, H. (2018). Integrating GIS and HEC-RAS to model Assiut plateau runoff. The Egyptian Journal of Remote Sensing and Space Science, 21(3), 219–227. https://doi.org/https://doi.org/10.1016/j.ejrs.2017.11.002

Maskey, S., Kayastha, R. B., & Kayastha, R. (2020). Glacial Lakes Outburst Floods (GLOFs) modelling of Thulagi and Lower Barun Glacial Lakes of Nepalese Himalaya. Progress in Disaster Science, 7, 100106. https://doi.org/https://doi.org/10.1016/j.pdisas.2020.100106

Petalas, A. L., Tsiampousi, A., Zdravkovic, L., & Potts, D. M. (2022). Numerical investigation of the performance of engineered barriers in controlling stormwater runoff. Geomechanics for Energy and the Environment, 32, 100401. https://doi.org/https://doi.org/10.1016/j.gete.2022.100401

Sultan, D., Tsunekawa, A., Tsubo, M., Haregeweyn, N., Adgo, E., Meshesha, D. T., Fenta, A. A., Ebabu, K., Berihun, M. L., & Setargie, T. A. (2022). Evaluation of lag time and time of concentration estimation methods in small tropical watersheds in Ethiopia. Journal of Hydrology: Regional Studies, 40, 101025. https://doi.org/https://doi.org/10.1016/j.ejrh.2022.101025

Sun, Y., Gu, X., & Xu, X. (2021). Experimental Study on Hydraulic Erosion Characteristics of Ecological Slope of Tailings Reservoir under Rainfall. KSCE Journal of Civil Engineering, 25(7), 2426–2436. https://doi.org/https://doi.org/10.1007/s12205-021-0912-1

Suzuki, Y., Nakamura, K., & Hama, T. (2022). Peak discharge mitigation effects in different rainfall patterns at a paddy plot with a runoff control plate. Journal of Hydrology: Regional Studies, 42, 101165. https://doi.org/https://doi.org/10.1016/j.ejrh.2022.101165

Wang, S., Peng, H., Hu, Q., & Jiang, M. (2022). Analysis of runoff generation driving factors based on hydrological model and interpretable machine learning method. Journal of Hydrology: Regional Studies, 42, 101139. https://doi.org/https://doi.org/10.1016/j.ejrh.2022.101139

Yuan, S., Li, Z., Chen, L., Li, P., Zhang, Z., Zhang, J., Wang, A., & kunxia Yu. (2022). Effects of a check dam system on the runoff generation and concentration processes of a catchment on the Loess Plateau. International Soil and Water Conservation Research, 10(1), 86–98. https://doi.org/https://doi.org/10.1016/j.iswcr.2021.06.007