Rainfall Analysis of Drainage Cross-Sectional Capacity with Comparison of Mononobe Method and Van Breen Method on The Road Asrama Sei Kambing C-Ii (Case Study)
Keywords:
Drainage Analysis Rainfall, Flood Discharge, cross-sectional capacity, Urban drainageAbstract
The intensity of rainfall is one of the factors causing inundation in an area which is one of the drainage problems in the city of Medan which is increasingly feared in recent years, population growth in the city of Medan is increasingly rapid and the need for land that was originally green is now becoming a denser residential area and more and more road paving which causes rainwater cannot absorb into the ground. In addition to flooding factors, watershed conditions that often experience erosion make river silting which results in reduced flow carrying capacity so that the increase in discharge is greater so that overflow occurs. The purpose of this rainfall analysis is to find out what problems make puddles not fully drain water when the rain discharge is high and to find out how much cross-sectional capacity is suitable to be used in accommodating flood discharge in drainage at the research site. The research method calculates rainfall intensity by comparing the Mononobe method and Van Breen method by analyzing the plan discharge to determine the feasibility of cross-sectional capacity by analyzing the planned flood discharge, where the results of the analysis of the 2-year period of channel discharge capacity (Qs) = 262.622 m3⁄sec so that the calculation results that the value of the channel discharge capacity is smaller than the plan flood discharge value is greater, so that the capacity proves that the drainage canal is not able to accommodate the flow of water which results in flooding.
References
Agbola, B. S., Ajayi, O., Taiwo, O. J., & Wahab, B. W. (2012). The August 2011 flood in Ibadan, Nigeria: Anthropogenic causes and consequences. International Journal of Disaster Risk Science, 3, 207–217.
Araújo, R. (2019). Heritage studies: beginnings and possibilities. E-Journal of Portuguese History, 17(2).
Arnaud, P., & Lavabre, J. (2002). Coupled rainfall model and discharge model for flood frequency estimation. Water Resources Research, 38(6), 11.
Butler, D., Digman, C. J., Makropoulos, C., & Davies, J. W. (2018). Urban drainage. Crc Press.
Cugerone, K., & De Michele, C. (2015). Johnson SB as general functional form for raindrop size distribution. Water Resources Research, 51(8), 6276–6289.
Ferraro, R. R. (1997). Special sensor microwave imager derived global rainfall estimates for climatological applications. Journal of Geophysical Research: Atmospheres, 102(D14), 16715–16735.
Hey, R. D. (1978). Determinate hydraulic geometry of river channels. Journal of the Hydraulics Division, 104(6), 869–885.
Hoang, L., & Fenner, R. A. (2016). System interactions of stormwater management using sustainable urban drainage systems and green infrastructure. Urban Water Journal, 13(7), 739–758.
Khaerudin, D. N. (2014). Effect of Density Soil to Water Recharge (infiltration) in Urban Overland Flow.
Luk, K. C., Ball, J. E., & Sharma, A. (2001). An application of artificial neural networks for rainfall forecasting. Mathematical and Computer Modelling, 33(6–7), 683–693.
Majeed, A. R., Nile, B. K., & Al-Baidhani, J. H. (1783). Analysis of intensity, duration, and frequency rain daily of Java Island using mononobe method. Journal of Physics: Conference Series, 2021, 12107.
Miguez, M. G., Veról, A. P., & Carneiro, P. R. F. (2012). Sustainable drainage systems: an integrated approach, combining hydraulic engineering design, urban land control and river revitalisation aspects. Drainage Systems, 1.
Rackwitz, R., & Flessler, B. (1978). Structural reliability under combined random load sequences. Computers & Structures, 9(5), 489–494.
Wahyudi, S. I., Adi, H. P., & Lekkerkerk, J. (2019). Handling Solution Tidal Flood in Kaligawe Area by Polder System Drainage. International Journal of Innovative Technology and Exploring Engineering, 9(2), 1104–1109.
White, G. C., & Bennetts, R. E. (1996). Analysis of frequency count data using the negative binomial distribution. Ecology, 77(8), 2549–2557.
Yazdanfar, Z., & Sharma, A. (2015). Urban drainage system planning and design–challenges with climate change and urbanization: a review. Water Science and Technology, 72(2), 165–179.
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