Assessment of stream water quality variables, an effective procedure to analyze hysteresis relationships.    

Assessment of stream water quality variables, an effective procedure to analyze hysteresis relationships. | 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 Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed.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. 24 March 2025 V1 Latest version Share on Assessment of stream water quality variables, an effective procedure to analyze hysteresis relationships. Authors : Omar El Farouk Khettab 0000-0002-9134-6079 [email protected] , Abdesselam Megnounif , and Abderrahmane Nekkach Ghenim Authors Info & Affiliations https://doi.org/10.22541/au.174283913.32237193/v1 Published Journal of Hydrology Version of record Peer review timeline 134 views 159 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Recently, studies have been incorporating larger datasets and a higher number of flow events. Consequently, automated methods have become an indispensable necessity. In this work, an automated procedure to improve hysteresis analysis is proposed. Two main aspects are targeted for methodological improvement: The qualitative and quantitative analysis axes of hysteresis loops. The concept of Hysteresis Signature, a sequence of parameters that defines the parts forming a hysteresis loop (linear, clockwise, and anticlockwise parts), is introduced to classify hysteresis shapes. A new numeric analysis format is also introduced following the signature to characterize each part of the loop individually. It uses both normalized and real-scale metrics for a full hysteresis quantification. The procedure was extensively tested and validated using 1400+ events from real datasets. Results showed a significant methodological improvement in both the qualitative and quantitative analysis aspects of a given hydrological hysteresis response. The automated classification identified 51 different shapes, successfully confirming the increase of identifiable hysteresis loops. The new numeric analysis format, compared to hysteresis indices, gives a unique quantitative examination in combined forms (e.g., Figure of eight loops) which improves the accuracy of the acquired information. Real-scale quantification improved normalized metrics by reflecting the physical impact associated with the opening of the loop. Finally, the overall results of the method’s testing showed that the procedure is versatile and compatible with varying data types so that the method can be generalized to various hysteresis relationships. Supplementary Material File (preprint.pdf) Download 849.02 KB Information & Authors Information Version history V1 Version 1 24 March 2025 Peer review timeline Published Journal of Hydrology Version of Record 1 Dec 2025 Published Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords automated classification concentration-discharge hydrology hysteresis analysis hysteresis indices hysteresis signature suspended sediment concentration turbidity water quality Authors Affiliations Omar El Farouk Khettab 0000-0002-9134-6079 [email protected] EOLE Laboratory, University of Tlemcen View all articles by this author Abdesselam Megnounif EOLE Laboratory, University of Tlemcen View all articles by this author Abderrahmane Nekkach Ghenim EOLE Laboratory, University of Tlemcen View all articles by this author Metrics & Citations Metrics Article Usage 134 views 159 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Omar El Farouk Khettab, Abdesselam Megnounif, Abderrahmane Nekkach Ghenim. Assessment of stream water quality variables, an effective procedure to analyze hysteresis relationships. . Authorea . 24 March 2025. 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