Estimation of peak runoff and frequency in an ungauged stream of a forested watershed for flood hazard mapping

Refik Karagül , Tarık Çitgez

Journal of Forestry Research ›› 2019, Vol. 30 ›› Issue (2) : 555 -564.

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Journal of Forestry Research ›› 2019, Vol. 30 ›› Issue (2) : 555 -564. DOI: 10.1007/s11676-018-0650-5
Original Paper

Estimation of peak runoff and frequency in an ungauged stream of a forested watershed for flood hazard mapping

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Abstract

Kaynasli District in the western Black Sea region of Turkey has long been vulnerable to frequent flood damage due to the establishment of settlements within and around stream channels without regard to fluctuating peak-streamflow frequencies. The aim of this research was to determine the measures needed to protect the towns and villages from this type of damage. Daily total precipitation data for 1975–2010 were analysed, and rainfall-runoff models developed to estimate the potential yearly maximum discharge from each stream of sub-watersheds dominated by forests and/or agriculture. This was then calculated for different frequencies of the yearly maximum discharge. Flood analysis and mapping was modified via the one-dimensional Hydrologic Engineering Centers-River Analysis System software to produce potential maximum discharge and geometric data for Kaynasli Creek. As the main creek of the sub-watershed, its cross-section was shown to be insufficient and incapable of containing the maximum discharge at the 100-year frequency presumed for the watershed, and subsequently was seen as having a high level of casualty risk. It was concluded that the one dimensional model could be useful, but 2D models were more suitable for these types of watersheds.

Keywords

Flood frequency analysis / Floodplain mapping / Flow simulation / Hydrologic Engineering Centers-River Analysis System (HEC-RAS) / Soil Conservation Service Curve Number (SCS-CN)

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Refik Karagül, Tarık Çitgez. Estimation of peak runoff and frequency in an ungauged stream of a forested watershed for flood hazard mapping. Journal of Forestry Research, 2019, 30(2): 555-564 DOI:10.1007/s11676-018-0650-5

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