Existing urban infrastructure design criteria and assumptions may underestimate the loads such as peak flow, precipitation height, etc. under changing climate conditions. Extreme precipitation patterns that are used as design criteria for urban drainage networks is expected to change due to climate. Therefore, a strong need has emerged to study extreme events to reveal potential frequency and intensity alterations under changing climate conditions. In this study historical and future extreme precipitation and land use/cover change analyses results of Ankara province are applied for a newly built stormwater network of a pilot study area in Etimesgut, Ankara. Performance of the system investigated under current and changing conditions and different approaches such as stationary and nonstationary extreme value assumption. The system operated in a satisfactory state and it can be said that according to climate change projections for the extreme rainfall, the maximum volume that the system face will not exceed baseline design criteria throughout the projection period. Combination of changing climatic and land use/cover conditions also reveal a satisfactory performance for the baseline design which used 15 minutes storm duration and 2 years return period rainfall intensity and a runoff coefficient of 0,8 as design input. On the other hand the system may fail under the loads derived separately or together with longer storm duration (such as 30 minutes or more) or higher return periods (such as 5 years and more) that is computed from stationary and nonstationary observed data analysis which is a preferred design input for such a critical facility and area. Cost analyses of various options also conducted for the pilot study stormwater network according to the changing design inputs for the climate change and land use scenarios.
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Climate Change and Futureproofing Infrastructure: Stormwater Networks
Published: 15 November 2018 by MDPI in The 3rd International Electronic Conference on Water Sciences session Submission
Keywords: Stormwater; Climate Change; Extreme Events