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Multivariate assessment and attribution of droughts in Central Asia
While the method for estimating the Palmer Drought Severity Index (PDSI) is now more closely aligned to key water balance components, a comprehensive assessment for measuring long-term droughts that recognizes meteorological, agro-ecological and hydrological perspectives and their attributions is st...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5430973/ https://www.ncbi.nlm.nih.gov/pubmed/28465559 http://dx.doi.org/10.1038/s41598-017-01473-1 |
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author | Li, Zhi Chen, Yaning Fang, Gonghuan Li, Yupeng |
author_facet | Li, Zhi Chen, Yaning Fang, Gonghuan Li, Yupeng |
author_sort | Li, Zhi |
collection | PubMed |
description | While the method for estimating the Palmer Drought Severity Index (PDSI) is now more closely aligned to key water balance components, a comprehensive assessment for measuring long-term droughts that recognizes meteorological, agro-ecological and hydrological perspectives and their attributions is still lacking. Based on physical approaches linked to potential evapotranspiration (PET), the PDSI in 1965–2014 showed a mixture of drying (42% of the land area) and wetting (58% of the land area) that combined to give a slightly wetting trend (0.0036 per year). Despite the smaller overall trend, there is a switch to a drying trend over the past decade (−0.023 per year). We designed numerical experiments and found that PDSI trend responding to the dramatic increase in air temperature and slight change in precipitation. The variabilities of meteorological and agro-ecological droughts were broadly comparable to various PDSI drought index. Interestingly, the hydrological drought was not completely comparable to the PDSI, which indicates that runoff in arid and semi-arid regions was not generated primarily from precipitation. Instead, fraction of glacierized areas in catchments caused large variations in the observed runoff changes. |
format | Online Article Text |
id | pubmed-5430973 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-54309732017-05-16 Multivariate assessment and attribution of droughts in Central Asia Li, Zhi Chen, Yaning Fang, Gonghuan Li, Yupeng Sci Rep Article While the method for estimating the Palmer Drought Severity Index (PDSI) is now more closely aligned to key water balance components, a comprehensive assessment for measuring long-term droughts that recognizes meteorological, agro-ecological and hydrological perspectives and their attributions is still lacking. Based on physical approaches linked to potential evapotranspiration (PET), the PDSI in 1965–2014 showed a mixture of drying (42% of the land area) and wetting (58% of the land area) that combined to give a slightly wetting trend (0.0036 per year). Despite the smaller overall trend, there is a switch to a drying trend over the past decade (−0.023 per year). We designed numerical experiments and found that PDSI trend responding to the dramatic increase in air temperature and slight change in precipitation. The variabilities of meteorological and agro-ecological droughts were broadly comparable to various PDSI drought index. Interestingly, the hydrological drought was not completely comparable to the PDSI, which indicates that runoff in arid and semi-arid regions was not generated primarily from precipitation. Instead, fraction of glacierized areas in catchments caused large variations in the observed runoff changes. Nature Publishing Group UK 2017-05-02 /pmc/articles/PMC5430973/ /pubmed/28465559 http://dx.doi.org/10.1038/s41598-017-01473-1 Text en © The Author(s) 2017 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 Li, Zhi Chen, Yaning Fang, Gonghuan Li, Yupeng Multivariate assessment and attribution of droughts in Central Asia |
title | Multivariate assessment and attribution of droughts in Central Asia |
title_full | Multivariate assessment and attribution of droughts in Central Asia |
title_fullStr | Multivariate assessment and attribution of droughts in Central Asia |
title_full_unstemmed | Multivariate assessment and attribution of droughts in Central Asia |
title_short | Multivariate assessment and attribution of droughts in Central Asia |
title_sort | multivariate assessment and attribution of droughts in central asia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5430973/ https://www.ncbi.nlm.nih.gov/pubmed/28465559 http://dx.doi.org/10.1038/s41598-017-01473-1 |
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