Historical analysis (1981–2017) of drought severity and magnitude over a predominantly arid region of Pakistan
Droughts are one of the multifaceted meteorological disasters affecting agriculture, livestock and water resources worldwide. Pakistan has a semiarid climate system with a high degree of interannual rainfall variability. This study evaluates the applicability and comparison of 3 drought indices (dec...
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Veröffentlicht in: | Climate research 2019-01, Vol.78 (3), p.189-204 |
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description | Droughts are one of the multifaceted meteorological disasters affecting agriculture, livestock and water resources worldwide. Pakistan has a semiarid climate system with a high degree of interannual rainfall variability. This study evaluates the applicability and comparison of 3 drought indices (deciles index [DI], standardized precipitation index [SPI] and reconnaissance drought index [RDI]) in Pakistan. Monthly rainfall and temperature data (1981–2017) from 30 weather stations were used to analyze the current status of drought occurrence in terms of severity and magnitude. A nonparametric Mann-Kendall test and Sen's slope estimates were applied on drought indices to determine the statistical significance and magnitude of the trend. The DI captured the dry episodes in the region well, as Baluchistan and Sindh provinces have been seen to be more susceptible to droughts. The indices of SPI and RDI were well correlated at 3, 6, 9 and 12 mo timescales. Province-level analysis revealed the highest number of drought years during the 3 mo timescale and the lowest number of drought years during the 12 mo timescale. Overall, a linearly increasing trend of SPI and RDI (towards wetness) was observed, whereas the province-level analysis showed a statistically significant trend at the 95% confidence level for Khyber Pakhtunkhwa, Punjab and Sindh in the long-term drought analysis. Moreover, analyses of historical drought years and their intensity have been investigated and compared with a recent long drought episode (1999–2002). The analysis of historical drought events highlights the challenging nature of drought management in Pakistan. The outcomes of this study would help water resource managers to investigate drought response measures for drought preparedness in the country. |
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Pakistan has a semiarid climate system with a high degree of interannual rainfall variability. This study evaluates the applicability and comparison of 3 drought indices (deciles index [DI], standardized precipitation index [SPI] and reconnaissance drought index [RDI]) in Pakistan. Monthly rainfall and temperature data (1981–2017) from 30 weather stations were used to analyze the current status of drought occurrence in terms of severity and magnitude. A nonparametric Mann-Kendall test and Sen's slope estimates were applied on drought indices to determine the statistical significance and magnitude of the trend. The DI captured the dry episodes in the region well, as Baluchistan and Sindh provinces have been seen to be more susceptible to droughts. The indices of SPI and RDI were well correlated at 3, 6, 9 and 12 mo timescales. Province-level analysis revealed the highest number of drought years during the 3 mo timescale and the lowest number of drought years during the 12 mo timescale. Overall, a linearly increasing trend of SPI and RDI (towards wetness) was observed, whereas the province-level analysis showed a statistically significant trend at the 95% confidence level for Khyber Pakhtunkhwa, Punjab and Sindh in the long-term drought analysis. Moreover, analyses of historical drought years and their intensity have been investigated and compared with a recent long drought episode (1999–2002). The analysis of historical drought events highlights the challenging nature of drought management in Pakistan. 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Pakistan has a semiarid climate system with a high degree of interannual rainfall variability. This study evaluates the applicability and comparison of 3 drought indices (deciles index [DI], standardized precipitation index [SPI] and reconnaissance drought index [RDI]) in Pakistan. Monthly rainfall and temperature data (1981–2017) from 30 weather stations were used to analyze the current status of drought occurrence in terms of severity and magnitude. A nonparametric Mann-Kendall test and Sen's slope estimates were applied on drought indices to determine the statistical significance and magnitude of the trend. The DI captured the dry episodes in the region well, as Baluchistan and Sindh provinces have been seen to be more susceptible to droughts. The indices of SPI and RDI were well correlated at 3, 6, 9 and 12 mo timescales. Province-level analysis revealed the highest number of drought years during the 3 mo timescale and the lowest number of drought years during the 12 mo timescale. Overall, a linearly increasing trend of SPI and RDI (towards wetness) was observed, whereas the province-level analysis showed a statistically significant trend at the 95% confidence level for Khyber Pakhtunkhwa, Punjab and Sindh in the long-term drought analysis. Moreover, analyses of historical drought years and their intensity have been investigated and compared with a recent long drought episode (1999–2002). The analysis of historical drought events highlights the challenging nature of drought management in Pakistan. The outcomes of this study would help water resource managers to investigate drought response measures for drought preparedness in the country.</description><subject>Agricultural management</subject><subject>Agriculture</subject><subject>Analysis</subject><subject>Arid regions</subject><subject>Arid zones</subject><subject>Climate system</subject><subject>Confidence intervals</subject><subject>Disaster management</subject><subject>Disasters</subject><subject>Drought</subject><subject>Drought analysis</subject><subject>Drought index</subject><subject>Emergency preparedness</subject><subject>Livestock</subject><subject>Monthly rainfall</subject><subject>Natural disasters</subject><subject>Precipitation</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Rainfall variability</subject><subject>Resource management</subject><subject>Semiarid climates</subject><subject>Standardized precipitation index</subject><subject>Statistical analysis</subject><subject>Statistical significance</subject><subject>Temperature data</subject><subject>Time</subject><subject>Water management</subject><subject>Water resources</subject><subject>Water resources management</subject><subject>Weather stations</subject><issn>0936-577X</issn><issn>1616-1572</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNo90M1KAzEQB_AgCtYqPoEQ8KAeVjObTTZ7lKJWKOhBwduS5qOmbjdrsiv05jv4hj6JKS2eBobfzDB_hE6BXFPKihsVCDAu9tAIOPAMWJnvoxGpKM9YWb4doqMYl4SQXJRkhLqpi70PTskGy1Y26-givoRKwO_3T06gvMLeYh38sHjvcTRfJrh-najGK7loXT9og33qYom7YLRfuVa2fZNIcBoHs3C-3ax4lh_pkmyP0YGVTTQnuzpGr_d3L5NpNnt6eJzczjJFiegzpqo5YxyoKqUsLdcgNKk4aEkoF8pWlabMyrnlDJgwmhQM1Fwyy61UPNd0jM63e7vgPwcT-3rph5A-jHWeC4AiDUBSF1ulgo8xGFt3wa1kWNdA6k2c9S7OJM-2crnJ65_lvMp5UZT0D_uXciA</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>Hina, Saadia</creator><creator>Saleem, Farhan</creator><general>Inter-Research Science Center</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TG</scope><scope>7TN</scope><scope>C1K</scope><scope>F1W</scope><scope>KL.</scope><scope>SOI</scope></search><sort><creationdate>20190101</creationdate><title>Historical analysis (1981–2017) of drought severity and magnitude over a predominantly arid region of Pakistan</title><author>Hina, Saadia ; Saleem, Farhan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c308t-5c9b55613c7aa7f6d18d0961da0368cf99d35fabf65158ed0451cba5f6fac62d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Agricultural management</topic><topic>Agriculture</topic><topic>Analysis</topic><topic>Arid regions</topic><topic>Arid zones</topic><topic>Climate system</topic><topic>Confidence intervals</topic><topic>Disaster management</topic><topic>Disasters</topic><topic>Drought</topic><topic>Drought analysis</topic><topic>Drought index</topic><topic>Emergency preparedness</topic><topic>Livestock</topic><topic>Monthly rainfall</topic><topic>Natural disasters</topic><topic>Precipitation</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Rainfall variability</topic><topic>Resource management</topic><topic>Semiarid climates</topic><topic>Standardized precipitation index</topic><topic>Statistical analysis</topic><topic>Statistical significance</topic><topic>Temperature data</topic><topic>Time</topic><topic>Water management</topic><topic>Water resources</topic><topic>Water resources management</topic><topic>Weather stations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hina, Saadia</creatorcontrib><creatorcontrib>Saleem, Farhan</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Environment Abstracts</collection><jtitle>Climate research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hina, Saadia</au><au>Saleem, Farhan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Historical analysis (1981–2017) of drought severity and magnitude over a predominantly arid region of Pakistan</atitle><jtitle>Climate research</jtitle><date>2019-01-01</date><risdate>2019</risdate><volume>78</volume><issue>3</issue><spage>189</spage><epage>204</epage><pages>189-204</pages><issn>0936-577X</issn><eissn>1616-1572</eissn><abstract>Droughts are one of the multifaceted meteorological disasters affecting agriculture, livestock and water resources worldwide. Pakistan has a semiarid climate system with a high degree of interannual rainfall variability. This study evaluates the applicability and comparison of 3 drought indices (deciles index [DI], standardized precipitation index [SPI] and reconnaissance drought index [RDI]) in Pakistan. Monthly rainfall and temperature data (1981–2017) from 30 weather stations were used to analyze the current status of drought occurrence in terms of severity and magnitude. A nonparametric Mann-Kendall test and Sen's slope estimates were applied on drought indices to determine the statistical significance and magnitude of the trend. The DI captured the dry episodes in the region well, as Baluchistan and Sindh provinces have been seen to be more susceptible to droughts. The indices of SPI and RDI were well correlated at 3, 6, 9 and 12 mo timescales. Province-level analysis revealed the highest number of drought years during the 3 mo timescale and the lowest number of drought years during the 12 mo timescale. Overall, a linearly increasing trend of SPI and RDI (towards wetness) was observed, whereas the province-level analysis showed a statistically significant trend at the 95% confidence level for Khyber Pakhtunkhwa, Punjab and Sindh in the long-term drought analysis. Moreover, analyses of historical drought years and their intensity have been investigated and compared with a recent long drought episode (1999–2002). The analysis of historical drought events highlights the challenging nature of drought management in Pakistan. The outcomes of this study would help water resource managers to investigate drought response measures for drought preparedness in the country.</abstract><cop>Oldendorf</cop><pub>Inter-Research Science Center</pub><doi>10.3354/cr01568</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Agricultural management Agriculture Analysis Arid regions Arid zones Climate system Confidence intervals Disaster management Disasters Drought Drought analysis Drought index Emergency preparedness Livestock Monthly rainfall Natural disasters Precipitation Rain Rainfall Rainfall variability Resource management Semiarid climates Standardized precipitation index Statistical analysis Statistical significance Temperature data Time Water management Water resources Water resources management Weather stations |
title | Historical analysis (1981–2017) of drought severity and magnitude over a predominantly arid region of Pakistan |
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