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Drought risk probabilistic models based on extreme value theory

The article presents original, probabilistic models for the quantification of drought risk, based on generalized distribution functions for the distribution of maximum values as well as the standardized precipitation index. Using the models, a probabilistic measurement of drought risk has been made...

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Detalles Bibliográficos
Autores principales: Piwowar, Arkadiusz, Kuźmiński, Łukasz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482787/
https://www.ncbi.nlm.nih.gov/pubmed/37561297
http://dx.doi.org/10.1007/s11356-023-29093-5
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author Piwowar, Arkadiusz
Kuźmiński, Łukasz
author_facet Piwowar, Arkadiusz
Kuźmiński, Łukasz
author_sort Piwowar, Arkadiusz
collection PubMed
description The article presents original, probabilistic models for the quantification of drought risk, based on generalized distribution functions for the distribution of maximum values as well as the standardized precipitation index. Using the models, a probabilistic measurement of drought risk has been made for three regions over four 5-year periods for each region. Three measurement points located in Poland were selected as a case study. The study provides an innovative approach in the field of probabilistic models of quantification; moreover, drought risk levels have been calculated for the selected locations. Furthermore, the method may be used for creating indexes for any climatic region subject to study.
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spelling pubmed-104827872023-09-08 Drought risk probabilistic models based on extreme value theory Piwowar, Arkadiusz Kuźmiński, Łukasz Environ Sci Pollut Res Int Research Article The article presents original, probabilistic models for the quantification of drought risk, based on generalized distribution functions for the distribution of maximum values as well as the standardized precipitation index. Using the models, a probabilistic measurement of drought risk has been made for three regions over four 5-year periods for each region. Three measurement points located in Poland were selected as a case study. The study provides an innovative approach in the field of probabilistic models of quantification; moreover, drought risk levels have been calculated for the selected locations. Furthermore, the method may be used for creating indexes for any climatic region subject to study. Springer Berlin Heidelberg 2023-08-10 2023 /pmc/articles/PMC10482787/ /pubmed/37561297 http://dx.doi.org/10.1007/s11356-023-29093-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Piwowar, Arkadiusz
Kuźmiński, Łukasz
Drought risk probabilistic models based on extreme value theory
title Drought risk probabilistic models based on extreme value theory
title_full Drought risk probabilistic models based on extreme value theory
title_fullStr Drought risk probabilistic models based on extreme value theory
title_full_unstemmed Drought risk probabilistic models based on extreme value theory
title_short Drought risk probabilistic models based on extreme value theory
title_sort drought risk probabilistic models based on extreme value theory
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482787/
https://www.ncbi.nlm.nih.gov/pubmed/37561297
http://dx.doi.org/10.1007/s11356-023-29093-5
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