Sedyowati, Laksni ORCID: https://orcid.org/0000-0001-9170-9864, Suhardjono, Suhardjono, Suhartanto, Ery and Harisuseno, Donny (2015) Flow Profile on Urban Road Intersection Based on The Longitudinal Slope. In: International Conference on Civil Engineering 2015 On Sustainable Construction, Engineering And Infrastructure Management, 5-8 November 2015, Universitas Narotama Surabaya.

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Abstract

The rapid growth of the city population, as a consequence of urbanization, had impacted on the provision of facilities and infrastructure, i.e. housings, office buildings and shopping malls, roads, schools, and other public facilities. The availability of pervious land in urban area will decrease, as the impacts of development. This causes the reduction of the soil’s ability to absorb the rain water, so that the drainage load and the peak discharge will increase, and the peak time of runoff is getting short. Unfortunately, the increase of the drainage load is not followed by an improvement of the drainage system capacity. On every rainy season, in almost all major cities in Indonesia experienced inundation with an average depth 20-40 cm. Inundation especially occurs on the main road sections and residential streets caused by the backwater effect as a result of the joining of two or more surface flow at a road intersection with different longitudinal slope. It is necessary to analyze the flow profile at a road intersection with a major review on the longitudinal slope factor. The study design consists of field observations and analytical activities, as follows: determination of the independent variables (i.e. rainfall intensity, longitudinal slope of roads) and the dependent variable (i.e. inundation depth); field measurements and data collection; simulation of flow profiles with various return period of rainfall using Hydraulic Model HEC-RAS; verification of the simulation result of flow profiles using observation data. This research results the relationship between the ratio of the longitudinal slope to the inundation depth at a road intersection and to a non dimensional number, i.e. Froude Number. The relationship can be well expressed by exponential regression functions, y = 0.5749e0.8965x (x = inundation depth); and y = 0.8371e1.7523x (x = Froude Number). The ratio of the longitudinal slope is the comparison between the slopes of the roads that intersecting. The result also show that the optimum slope ratio is 0.75 where the inundation depth is still going on an allowable limit, and the rain with a return period of 2-year had already resulted an inundation depth exceeding the allowable limit.

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