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An Approach for Determination of the Drainage Network Effect on GIUH Using Hesitant Probabilistic Fuzzy Linguistic Sets

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Abstract

Digital elevation models (DEMs) enable extraction of stream networks, delineation of watersheds and determination of geomorphological characteristics. A widely used method for stream network extraction is to specify a threshold area required to initiate a channel. This is achieved by applying a threshold area value (As) in GIS software which displays the accumulated flow to each cell. In this study, the effect of the assigned As on the direct runoff hydrographs was analyzed. Of using different threshold values varying in a wide range, stream network extraction and watershed delineation were performed, and then stream orders, main channel lengths and related morphometric parameters were computed. The geomorphological instantaneous unit hydrograph (GIUH) theory was adopted to obtain the hydrological response of the watershed and three direct runoff hydrographs were considered for validation. Statistical parameters and cumulative density functions of both observed and simulated hydrographs were computed and uncertainty analysis was performed. The best performing value of As with respect to the stream order and main channel length was determined using hesitant probabilistic fuzzy linguistic sets for different runoff hydrographs and criteria considered. It was found that the As value affected the stream order as expected and a stream order of maximum 3 was adequate for estimation of the runoff hydrograph with acceptable accuracy without unreasonably increasing the computational effort.

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Data is available upon request.

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Funding

This research was funded by the Scientific and Technological Research Council of Turkey (Türkiye Bilimsel ve Teknolojik Araştırma Kurumu), grant number 114M292.

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Authors and Affiliations

  1. Faculty of Engineering Civil Engineering Department, Gazi University, Maltepe, Ankara, 06570, Turkey

    Hüseyin Akay & Müsteyde Baduna Koçyiğit

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  1. Hüseyin Akay
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  2. Müsteyde Baduna Koçyiğit
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Contributions

Conceptualization: HA; Methodology: HA; Funding acquisition: MBK; Writing—original draft preparation: MBK, HA; Writing—review and editing: HA, MBK.

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Correspondence to Hüseyin Akay.

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Akay, H., Baduna Koçyiğit, M. An Approach for Determination of the Drainage Network Effect on GIUH Using Hesitant Probabilistic Fuzzy Linguistic Sets. Water Resour Manage 35, 3873–3902 (2021). https://doi.org/10.1007/s11269-021-02935-y

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