Kumaraswamy Distribution-based Geomorphological Instantaneous Unit Hydrograph for Runoff Modeling in An Ephemeral Stream

Kumaraswamy Distribution-based Geomorphological Instantaneous Unit Hydrograph for Runoff Modeling in An Ephemeral Stream | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 13 September 2025 V1 Latest version Share on Kumaraswamy Distribution-based Geomorphological Instantaneous Unit Hydrograph for Runoff Modeling in An Ephemeral Stream Authors : Gunjan Chauhan [email protected] , Himanshu Sharma 0000-0001-6198-577X , and Manoj Langhi Authors Info & Affiliations https://doi.org/10.22541/au.175776676.62367600/v1 103 views 70 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Prediction of floods in ephemeral streams is very challenging due to highly variable rainfall patterns and a lack of historical time series data. This study is an attempt to mitigate such challenges by employing Geomorphological Instantaneous Unit Hydrograph (GIUH) model to the ephemeral Banas River in India. Three variants of the GIUH model are developed based upon Nash model, the probability distribution function of travel time, and the Kumaraswamy distribution-based. These models are used to simulate the daily hydrographs at the monitoring sites. The predicted discharge values are compared with the observed discharge values for the selected rainfall events. The models are evaluated using 𝑅 2 error, Nash-Sutcliffe efficiency (NSE), and Kling-Gupta efficiency (KGE) metrics. The Kumaraswamy distribution-based GIUH model is further analyzed using hourly discharge hydrographs andit was observed that the proposed model shows good efficacy as compared to the other models in regenerating the hydrographs for the ephemeral streams. Supplementary Material File (figures.docx) Download 4.27 MB File (manuscript.docx) Download 44.37 KB File (table_modified.docx) Download 21.51 KB Information & Authors Information Version history V1 Version 1 13 September 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords ephemeral stream flood prediction geomorphological instantaneous unit hydrograph probability distribution function Authors Affiliations Gunjan Chauhan [email protected] Institute of Infrastructure Technology Research and Management View all articles by this author Himanshu Sharma 0000-0001-6198-577X Institute of Infrastructure Technology Research and Management View all articles by this author Manoj Langhi Institute of Infrastructure Technology Research and Management View all articles by this author Metrics & Citations Metrics Article Usage 103 views 70 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Gunjan Chauhan, Himanshu Sharma, Manoj Langhi. Kumaraswamy Distribution-based Geomorphological Instantaneous Unit Hydrograph for Runoff Modeling in An Ephemeral Stream. Authorea . 13 September 2025. DOI: https://doi.org/10.22541/au.175776676.62367600/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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