Journal of Research and Development
Open Access
ISSN: 2311-3278
ISSN: 2311-3278
Nebiyiat Elias Yosef*, Elias Gebeyehu Ayele, Otoma Orkaido Garo
In Doyogena town water drainage system is the main problem of the community in their daily life. However, the drainage situation and the maximum runoff in the area are not estimated. This study aims to assess the drainage condition of the town and thereby estimate the maximum peak discharge using best-fit probability distribution function. Climate data, field survey and secondary data were used for analysis of this study using GIS and remote sensing for driving intensity duration and frequency relations and computing the hydraulic performance of the EDS of the town. The main finding of this study indicated that high problem of water drainage system in Doyogena town due to many long-lived challenges such as lack of enough water flow lines, less focus given to rehabilitate roads and lack of awareness about prevention of dry wastes and so on. Additionally; a researcher used both quantitative and qualitative methods to assess on the problem of drainage problem: The case of Doyogena town from which statistical methods to get digital data and narration to explain those data obtained from secondary sources. The main proposed solution in collaboration with stakeholders of the problem of water drainage in Doyogena town such as establish solid waste disposal area, create awareness of the disadvantage of waste disposing at every open space in the town, cover open drainage structures to improve safety of road users, to keep this drainage structure remain clean and also for aesthetic appearance, improve the longitudinal gradient of drainage structure by sealing to decrease its slope based on availability of finance to reduce scoring in drainage structure, improve the capacity of existing drainage structures that have a capacity of less than the required capacity by increasing their depth and width based on availability of finance and space, early maintenance of drainage structure based on the severity of defects. The sub-catchments with the peak surface runoff revealed 0.33 m3/sec, 1.37 m3/sec, 0.54 m3/sec, 1.07 m3/sec 6.81 m3/sec, 0.94 m3/s, 0.42 m3/s, 0.3 m3/s, 1.78 m3/s, 0.03 m3/s over a 5-year and 10-year, return period, respectively using Gumball distribution. The best IDF curve for water resources study developed for designing hydraulic projects such as drainage networks, road culverts, bridges and many other hydraulic structures. The research findings are critical for road protection authorities, decision makers and the scientific community to use urban storm water intervention approaches to enable the town to be good living and working town in the future.
Published Date: 2025-04-10; Received Date: 2024-05-30