River water temperature quantiles as thermal stress indicators: Case study in Switzerland

The variability of the river water thermal regime has important consequences on the environment and aquatic habitat. In 25 independent and identically distributed stations in Switzerland, local frequency analysis is used to quantify extreme river temperatures. Probability distributions are fitted to...

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Autores principales:	Zina Souaissi, Taha B.M.J. Ouarda, André St-Hilaire
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Extreme river temperature Probability distribution Local frequency analysis L-moment ratio diagram Discordancy measure Goodness-of-fit criteria Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/8f247492fcf243f38c1c5902ad99e5dd
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spelling	oai:doaj.org-article:8f247492fcf243f38c1c5902ad99e5dd2021-12-01T05:00:59ZRiver water temperature quantiles as thermal stress indicators: Case study in Switzerland1470-160X10.1016/j.ecolind.2021.108234https://doaj.org/article/8f247492fcf243f38c1c5902ad99e5dd2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21008992https://doaj.org/toc/1470-160XThe variability of the river water thermal regime has important consequences on the environment and aquatic habitat. In 25 independent and identically distributed stations in Switzerland, local frequency analysis is used to quantify extreme river temperatures. Probability distributions are fitted to the data to estimate maximum water temperatures corresponding to different return periods. The goodness of fit of statistical distributions are evaluated using the Akaike and Bayesian Information Criteria. L-moment ratio diagrams are also used to validate the choices of appropriate candidate distributions. Results show that for high altitude stations the two-parameter Weibull (W2) distribution is the most adequate distribution to represent extreme river water temperatures while for low altitude stations the most commonly selected distributions are the Normal (N) and Inverse Gamma (IG). The L-moment ratio diagrams confirm the results of the local frequency analysis. These results point to the presence of a regional homogeneity in the thermal regime of the study area. River temperature quantiles are compared to know thresholds above which thermal stress occurs for a relatively ubiquitous salmonid species in Europe (Brown trout).Zina SouaissiTaha B.M.J. OuardaAndré St-HilaireElsevierarticleExtreme river temperatureProbability distributionLocal frequency analysisL-moment ratio diagramDiscordancy measureGoodness-of-fit criteriaEcologyQH540-549.5ENEcological Indicators, Vol 131, Iss , Pp 108234- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Extreme river temperature Probability distribution Local frequency analysis L-moment ratio diagram Discordancy measure Goodness-of-fit criteria Ecology QH540-549.5
spellingShingle	Extreme river temperature Probability distribution Local frequency analysis L-moment ratio diagram Discordancy measure Goodness-of-fit criteria Ecology QH540-549.5 Zina Souaissi Taha B.M.J. Ouarda André St-Hilaire River water temperature quantiles as thermal stress indicators: Case study in Switzerland
description	The variability of the river water thermal regime has important consequences on the environment and aquatic habitat. In 25 independent and identically distributed stations in Switzerland, local frequency analysis is used to quantify extreme river temperatures. Probability distributions are fitted to the data to estimate maximum water temperatures corresponding to different return periods. The goodness of fit of statistical distributions are evaluated using the Akaike and Bayesian Information Criteria. L-moment ratio diagrams are also used to validate the choices of appropriate candidate distributions. Results show that for high altitude stations the two-parameter Weibull (W2) distribution is the most adequate distribution to represent extreme river water temperatures while for low altitude stations the most commonly selected distributions are the Normal (N) and Inverse Gamma (IG). The L-moment ratio diagrams confirm the results of the local frequency analysis. These results point to the presence of a regional homogeneity in the thermal regime of the study area. River temperature quantiles are compared to know thresholds above which thermal stress occurs for a relatively ubiquitous salmonid species in Europe (Brown trout).
format	article
author	Zina Souaissi Taha B.M.J. Ouarda André St-Hilaire
author_facet	Zina Souaissi Taha B.M.J. Ouarda André St-Hilaire
author_sort	Zina Souaissi
title	River water temperature quantiles as thermal stress indicators: Case study in Switzerland
title_short	River water temperature quantiles as thermal stress indicators: Case study in Switzerland
title_full	River water temperature quantiles as thermal stress indicators: Case study in Switzerland
title_fullStr	River water temperature quantiles as thermal stress indicators: Case study in Switzerland
title_full_unstemmed	River water temperature quantiles as thermal stress indicators: Case study in Switzerland
title_sort	river water temperature quantiles as thermal stress indicators: case study in switzerland
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/8f247492fcf243f38c1c5902ad99e5dd
work_keys_str_mv	AT zinasouaissi riverwatertemperaturequantilesasthermalstressindicatorscasestudyinswitzerland AT tahabmjouarda riverwatertemperaturequantilesasthermalstressindicatorscasestudyinswitzerland AT andresthilaire riverwatertemperaturequantilesasthermalstressindicatorscasestudyinswitzerland
_version_	1718405613883490304

River water temperature quantiles as thermal stress indicators: Case study in Switzerland

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