Abstract

Flood and inundation are problems that vastly impact all sectors and cause huge losses. This study aimed to determine the characteristics of drainage channels, hydrology, and hydraulic flow in the Buah river subsystem to design flood control through various scenarios of discharge analysis for a 10-year return period. This study was carried out to investigate the drainage channel plan’s effectiveness to reduce peak flood discharge and occurrence. By using the hydrologic engineering center’s – river analysis system (HEC-RAS) and hydrologic engineering center – hydrologic modeling system (HEC-HMS) software, hydrological and hydraulic analysis was performed to examine the drainage channel’s capacity in the Buah river. The hydrological and hydraulic methods employed Muskingum-Change and Saint-Venant formula, respectively. The 2008 to 2017 rain data used were obtained from Meteorology Climatology and Geophysics Council (BMKG) of Palembang City. The log-Pearson III method was used to determine design rainfall with return periods of 2, 5, 10, 25, 50, and 100 years. Rainfall intensity was analyzed using the Mononobe method for five-year return period to hyetograph. Also, rainfall intensity was analyzed using the intensity-duration-frequency (IDF) curve to determine the number of years required for the full release of the channel to pass. Based on the results, the highest intensity was detected in a 2-to-100-year return period, where the 5-minute rainfall duration had a value of 200–350 mm/hour. Meanwhile, for 2 hours duration, the highest value recorded was 25-50 mm/hour. The maximum rainfall distribution for 5 minutes of rain was 10 mm, while 120 minutes covered 3 mm. The highest elevation of the Buah river subsystem was in the 100-year return period with a height of 10.3 m, but the lowest occurred in the 2-year return period with a water level of 9.89 m.

Keyword

Hydrology, Hydraulics, Rain intensity, Maximum discharge.

Cite this article

FirdausPutranto DD, Juliana IC

Refference

[1][1]Dinar DA, Sarino S, Agus LY. Database structure of land allocation management information system for estimating run-off in watersheds. International Journal of GEOMATE. 2019; 17(59):34-42.

[2][2]Putranto DD, Sarino S, Yuono AL. Integration of surface water management in urban and regional spatial planning. International Journal of GEOMATE. 2018; 14(45):28-34.

[3][3]Sutapa IW, Ishak MG, Andiese VW, Fauzan A. Influence of basin volume and land use of Lake Lindu on the Rawa river discharge. International Journal of Civil Engineering and Technology. 2018; 9(7):278-88.

[4][4]Jeziorska J, Niedzielski T. Applicability of TOPMODEL in the mountainous catchments in the upper Nysa Kłodzka river basin (SW Poland). Acta Geophysica. 2018; 66(2):203-22.

[5][5]Yang W, Wang J, Sui J, Zhang F, Zhang B. A modified Muskingum flow routing model for flood wave propagation during river ice thawing-breakup period. Water Resources Management. 2019; 33(14):4865-78.

[6][6]Lisenbee WA, Hathaway JM, Burns MJ, Fletcher TD. Modeling bioretention stormwater systems: current models and future research needs. Environmental Modelling & Software. 2021.

[7][7]Abdessamed D, Abderrazak B. Coupling HEC-RAS and HEC-HMS in rainfall–runoff modeling and evaluating floodplain inundation maps in arid environments: case study of Ain Sefra city, Ksour Mountain, SW of Algeria. Environmental Earth Sciences. 2019; 78(19):1-17.

[8][8]Shakarneh MO, Khan AJ, Mahmood Q, Khan R, Shahzad M, Tahir AA. Modeling of rainfall–runoff events using HEC-HMS model in southern catchments of Jerusalem desert-Palestine. Arabian Journal of Geosciences. 2022; 15(1):1-19.

[9][9]Tansar H, Duan HF, Mark O. Catchment-scale and local-scale based evaluation of LID effectiveness on urban drainage system performance. Water Resources Management. 2022; 36:507-26.

[10][10]Tamiru H, Wagari M. Machine-learning and HEC-RAS integrated models for flood inundation mapping in baro river basin, Ethiopia. Modeling Earth Systems and Environment. 2021:1-13.

[11][11]Armain MZ, Rozainy MM, Kamarudzaman AN. Hydrodynamic modelling of historical flood event using one dimensional HEC-RAS in Kelantan basin, Malaysia. In IOP conference series: earth and environmental science 2021 (pp.1-7). IOP Publishing.

[12][12]Venkatcharyulu S, Viswanadh GK. Runoff volume model for Godavari sub-basin using HEC-RAS software. Modeling Earth Systems and Environment. 2021:1-13.

[13][13]Andriani A, Istijono B, Aprisal A, Ophiyandri TO, Putra TH. Optimization of land use to reduce surface runoff and erosion in kuranji watershed. Geomate Journal. 2022; 22(90):102-9.

[14][14]Bharali B, Misra UK. Prediction of flood hydrograph using the modified cunge-muskingum method in an ungauged basin: a case study in the Kulsi river basin, India. Meteorology Hydrology and Water Management. Research and Operational Applications. 2021; 9(1-2):1-22.

[15][15]Node FN, Farzin S, Karami H. Flood routing by kidney algorithm and muskingum model. Natural Hazards. 2018:1-19.

[16][16]Ferguson C, Fenner R. The impact of natural flood management on the performance of surface drainage systems: a case study in the Calder valley. Journal of Hydrology. 2020.

[17][17]Chen S, Zheng F, Liu X, Garambois PA. Pressure-balanced saint–venant equations for improved asymptotic modelling of pipe flow. Journal of Hydro-Environment Research. 2021; 37:46-56.

[18][18]Bharath A, Kumar KK, Maddamsetty R, Manjunatha M, Tangadagi RB, Preethi S. Drainage morphometry based sub-watershed prioritization of Kalinadi basin using geospatial technology. Environmental Challenges. 2021.

[19][19]Niyazi B, Khan AA, Masoud M, Elfeki A, Basahi J, Zaidi S. Morphological-hydrological relationships and the geomorphological instantaneous unit hydrograph of Makkah Al-Mukarramah watersheds. Arabian Journal of Geosciences. 2021; 14(9):1-17.

[20][20]Rai PK, Singh P, Mishra VN, Singh A, Sajan B, Shahi AP. Geospatial approach for quantitative drainage morphometric analysis of Varuna river basin, India. Journal of Landscape Ecology. 2019; 12(2):1-25.