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Comparison of Visual and Computational Methods for Identifying Microhabitats in Rivers Using Froude Number: A Case Study of Jajroud River, Iran | 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 Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed.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. 6 May 2025 V1 Latest version Share on Comparison of Visual and Computational Methods for Identifying Microhabitats in Rivers Using Froude Number: A Case Study of Jajroud River, Iran Authors : Saleh Mahmoudi 0000-0002-9161-0327 [email protected] , Dr Asghar Abdoli , and Narges Mohammadi Authors Info & Affiliations https://doi.org/10.22541/au.174651327.77687293/v1 155 views 90 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Precise identification of riverine microhabitats, such as pools, runs, and riffles, is fundamental to effective river management and the conservation of aquatic ecosystems. This study evaluates and compares visual and computational methods, specifically those based on the Froude number, for the identification of microhabitats in the Jajroud River, Iran. Seventy-one sampling points were assessed, with depth and velocity measurements recorded to calculate the Froude number. Visual classification relied on observable features such as surface water texture and flow patterns. Results revealed a 60.56% agreement between the two approaches, with a Kappa coefficient of 0.408, indicating a moderate level of concordance. Discrepancies between methods were largely attributed to the subjective nature of visual assessments and the inherent simplifications of the Froude number method. A strong positive correlation was observed between the Froude number and flow velocity (r = 0.85), whereas a moderate inverse correlation was found with water depth (r = -0.65). Statistical analyses, including a Chi-square test (p-value < 0.05), confirmed a significant association between visual and computational classifications. These findings underscore the need for an integrated approach to microhabitat identification and suggest that advanced modeling techniques may further enhance habitat assessment. Overall, this study advances efforts towards sustainable river management and the preservation of aquatic biodiversity. Supplementary Material File (froude number.docx) Download 26.88 KB Information & Authors Information Version history V1 Version 1 06 May 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords aquatic ecosystems froude number microhabitat identification river management visual assessment Authors Affiliations Saleh Mahmoudi 0000-0002-9161-0327 [email protected] Soil Conservation and Watershed Management Research Institute View all articles by this author Dr Asghar Abdoli Shahid Beheshti University Environmental Sciences Research Institute View all articles by this author Narges Mohammadi Iran Ministry of Jihad-e-Agriculture View all articles by this author Metrics & Citations Metrics Article Usage 155 views 90 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Saleh Mahmoudi, Dr Asghar Abdoli, Narges Mohammadi. Comparison of Visual and Computational Methods for Identifying Microhabitats in Rivers Using Froude Number: A Case Study of Jajroud River, Iran. Authorea . 06 May 2025. DOI: https://doi.org/10.22541/au.174651327.77687293/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 . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. 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