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Characterisation of meteorological drought at sub-catchment scale in Afghanistan using station-observed climate data

Droughts have severely affected Afghanistan over the last four decades, leading to critical food shortages where two-thirds of the country’s population are in a food crisis. Long years of conflict have lowered the country’s ability to deal with hazards such as drought which can rapidly escalate into...

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Autores principales: Chen, Yun, Penton, David, Karim, Fazlul, Aryal, Santosh, Wahid, Shahriar, Taylor, Peter, Cuddy, Susan M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901756/
https://www.ncbi.nlm.nih.gov/pubmed/36745664
http://dx.doi.org/10.1371/journal.pone.0280522
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author Chen, Yun
Penton, David
Karim, Fazlul
Aryal, Santosh
Wahid, Shahriar
Taylor, Peter
Cuddy, Susan M.
author_facet Chen, Yun
Penton, David
Karim, Fazlul
Aryal, Santosh
Wahid, Shahriar
Taylor, Peter
Cuddy, Susan M.
author_sort Chen, Yun
collection PubMed
description Droughts have severely affected Afghanistan over the last four decades, leading to critical food shortages where two-thirds of the country’s population are in a food crisis. Long years of conflict have lowered the country’s ability to deal with hazards such as drought which can rapidly escalate into disasters. Understanding the spatial and temporal distribution of droughts is needed to be able to respond effectively to disasters and plan for future occurrences. This study used Standardized Precipitation Evapotranspiration Index (SPEI) at monthly, seasonal and annual temporal scales to map the spatiotemporal change dynamics of drought characteristics (distribution, frequency, duration and severity) in Afghanistan. SPEI indices were mapped for river basins, disaggregated into 189 sub-catchments, using monthly precipitation and potential evapotranspiration derived from temperature station observations from 1980 to 2017. The results show these multi-dimensional drought characteristics vary along different years, change among sub-catchments, and differ across temporal scales. During the 38 years, the driest decade and period are 2000s and 1999–2022, respectively. The 2000–01 water year is the driest with the whole country experiencing ‘severe’ to ‘extreme’ drought, more than 53% (87 sub-catchments) suffering the worst drought in history, and about 58% (94 sub-catchments) having ‘very frequent’ drought (7 to 8 months) or ‘extremely frequent’ drought (9 to 10 months). The estimated seasonal duration and severity present significant variations across the study area and among the study period. The nation also suffers from recurring droughts with varying length and intensity in 2004, 2006, 2008 and most recently 2011. There is a trend towards increasing drought with longer duration and higher severity extending all over sub-catchments from southeast to north and central regions. These datasets and maps help to fill the knowledge gap on detailed sub-catchment scale meteorological drought characteristics in Afghanistan. The study findings improve our understanding of the influences of climate change on the drought dynamics and can guide catchment planning for reliable adaptation to and mitigation against future droughts.
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spelling pubmed-99017562023-02-07 Characterisation of meteorological drought at sub-catchment scale in Afghanistan using station-observed climate data Chen, Yun Penton, David Karim, Fazlul Aryal, Santosh Wahid, Shahriar Taylor, Peter Cuddy, Susan M. PLoS One Research Article Droughts have severely affected Afghanistan over the last four decades, leading to critical food shortages where two-thirds of the country’s population are in a food crisis. Long years of conflict have lowered the country’s ability to deal with hazards such as drought which can rapidly escalate into disasters. Understanding the spatial and temporal distribution of droughts is needed to be able to respond effectively to disasters and plan for future occurrences. This study used Standardized Precipitation Evapotranspiration Index (SPEI) at monthly, seasonal and annual temporal scales to map the spatiotemporal change dynamics of drought characteristics (distribution, frequency, duration and severity) in Afghanistan. SPEI indices were mapped for river basins, disaggregated into 189 sub-catchments, using monthly precipitation and potential evapotranspiration derived from temperature station observations from 1980 to 2017. The results show these multi-dimensional drought characteristics vary along different years, change among sub-catchments, and differ across temporal scales. During the 38 years, the driest decade and period are 2000s and 1999–2022, respectively. The 2000–01 water year is the driest with the whole country experiencing ‘severe’ to ‘extreme’ drought, more than 53% (87 sub-catchments) suffering the worst drought in history, and about 58% (94 sub-catchments) having ‘very frequent’ drought (7 to 8 months) or ‘extremely frequent’ drought (9 to 10 months). The estimated seasonal duration and severity present significant variations across the study area and among the study period. The nation also suffers from recurring droughts with varying length and intensity in 2004, 2006, 2008 and most recently 2011. There is a trend towards increasing drought with longer duration and higher severity extending all over sub-catchments from southeast to north and central regions. These datasets and maps help to fill the knowledge gap on detailed sub-catchment scale meteorological drought characteristics in Afghanistan. The study findings improve our understanding of the influences of climate change on the drought dynamics and can guide catchment planning for reliable adaptation to and mitigation against future droughts. Public Library of Science 2023-02-06 /pmc/articles/PMC9901756/ /pubmed/36745664 http://dx.doi.org/10.1371/journal.pone.0280522 Text en © 2023 Chen et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chen, Yun
Penton, David
Karim, Fazlul
Aryal, Santosh
Wahid, Shahriar
Taylor, Peter
Cuddy, Susan M.
Characterisation of meteorological drought at sub-catchment scale in Afghanistan using station-observed climate data
title Characterisation of meteorological drought at sub-catchment scale in Afghanistan using station-observed climate data
title_full Characterisation of meteorological drought at sub-catchment scale in Afghanistan using station-observed climate data
title_fullStr Characterisation of meteorological drought at sub-catchment scale in Afghanistan using station-observed climate data
title_full_unstemmed Characterisation of meteorological drought at sub-catchment scale in Afghanistan using station-observed climate data
title_short Characterisation of meteorological drought at sub-catchment scale in Afghanistan using station-observed climate data
title_sort characterisation of meteorological drought at sub-catchment scale in afghanistan using station-observed climate data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901756/
https://www.ncbi.nlm.nih.gov/pubmed/36745664
http://dx.doi.org/10.1371/journal.pone.0280522
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