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Forecasting low flow conditions months in advance through teleconnection patterns, with a special focus on summer 2018

Over the past decades, Europe has been affected by several low flow periods which had substantial impacts on the hydrology of the rivers themselves as well as on the society and economy. Low flow periods have a direct impact on the environment, on the inland waterway navigation, on the hydropower pr...

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Autores principales: Ionita, M., Nagavciuc, V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411071/
https://www.ncbi.nlm.nih.gov/pubmed/32764732
http://dx.doi.org/10.1038/s41598-020-70060-8
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author Ionita, M.
Nagavciuc, V.
author_facet Ionita, M.
Nagavciuc, V.
author_sort Ionita, M.
collection PubMed
description Over the past decades, Europe has been affected by several low flow periods which had substantial impacts on the hydrology of the rivers themselves as well as on the society and economy. Low flow periods have a direct impact on the environment, on the inland waterway navigation, on the hydropower production as well as on the sediment management, among others. Similar to floods, low flows are naturally occurring phenomena which can significantly hinder different uses and functions of the rivers and impact the aquatic system and the water quality. Moreover, it is projected that, in the future, climate change might lead to drier summers over the European region and therefore to more frequent and severe low flow periods. The results presented here show that the summer 2018 low flow situation, over the Rhine and Elbe Rivers basin, could have been predicted up to two seasons ahead by using previous months' sea surface temperature, sea level pressure, precipitation, mean air temperature and soil moisture. The lagged relationship between the predictand (e.g. seasonal streamflow) and the climate and oceanic predictors varies between 1 month (e.g. precipitation) up to 6 months (e.g. sea surface temperature). Taking into account that all predictors are available in real-time, the forecast scheme can be used to provide early warnings for the upcoming low flow situations, thus offering the possibility for better management of the water resources.
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spelling pubmed-74110712020-08-10 Forecasting low flow conditions months in advance through teleconnection patterns, with a special focus on summer 2018 Ionita, M. Nagavciuc, V. Sci Rep Article Over the past decades, Europe has been affected by several low flow periods which had substantial impacts on the hydrology of the rivers themselves as well as on the society and economy. Low flow periods have a direct impact on the environment, on the inland waterway navigation, on the hydropower production as well as on the sediment management, among others. Similar to floods, low flows are naturally occurring phenomena which can significantly hinder different uses and functions of the rivers and impact the aquatic system and the water quality. Moreover, it is projected that, in the future, climate change might lead to drier summers over the European region and therefore to more frequent and severe low flow periods. The results presented here show that the summer 2018 low flow situation, over the Rhine and Elbe Rivers basin, could have been predicted up to two seasons ahead by using previous months' sea surface temperature, sea level pressure, precipitation, mean air temperature and soil moisture. The lagged relationship between the predictand (e.g. seasonal streamflow) and the climate and oceanic predictors varies between 1 month (e.g. precipitation) up to 6 months (e.g. sea surface temperature). Taking into account that all predictors are available in real-time, the forecast scheme can be used to provide early warnings for the upcoming low flow situations, thus offering the possibility for better management of the water resources. Nature Publishing Group UK 2020-08-06 /pmc/articles/PMC7411071/ /pubmed/32764732 http://dx.doi.org/10.1038/s41598-020-70060-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Ionita, M.
Nagavciuc, V.
Forecasting low flow conditions months in advance through teleconnection patterns, with a special focus on summer 2018
title Forecasting low flow conditions months in advance through teleconnection patterns, with a special focus on summer 2018
title_full Forecasting low flow conditions months in advance through teleconnection patterns, with a special focus on summer 2018
title_fullStr Forecasting low flow conditions months in advance through teleconnection patterns, with a special focus on summer 2018
title_full_unstemmed Forecasting low flow conditions months in advance through teleconnection patterns, with a special focus on summer 2018
title_short Forecasting low flow conditions months in advance through teleconnection patterns, with a special focus on summer 2018
title_sort forecasting low flow conditions months in advance through teleconnection patterns, with a special focus on summer 2018
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411071/
https://www.ncbi.nlm.nih.gov/pubmed/32764732
http://dx.doi.org/10.1038/s41598-020-70060-8
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