Droughts in Pakistan: A spatiotemporal variability analysis using the standardized precipitation index
We investigated the spatiotemporal variability of drought incidence in Pakistan during 1960–2007 by calculating Standardized Precipitation Index fields for 3-, 6- and 12-month scales using gridded precipitation data. Principal component analysis revealed that droughts are wide-spread and often occur...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Informa UK Limited
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/52146 |
| _version_ | 1855524359087587328 |
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| author | Xie H Ringler, Claudia Zhu, T. Waqas A |
| author_browse | Ringler, Claudia Waqas A Xie H Zhu, T. |
| author_facet | Xie H Ringler, Claudia Zhu, T. Waqas A |
| author_sort | Xie H |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | We investigated the spatiotemporal variability of drought incidence in Pakistan during 1960–2007 by calculating Standardized Precipitation Index fields for 3-, 6- and 12-month scales using gridded precipitation data. Principal component analysis revealed that droughts are wide-spread and often occur simultaneously over large areas. Furthermore, spectral analysis identified a 16-year drought recurrence period. Three such drought-intensive periods were identified: the late 1960s to early 1970s; the middle 1980s; and the late 1990s to early 2000s. Hence, drought patterns need to be integrated into long-term water planning as well as emergency preparedness. |
| format | Journal Article |
| id | CGSpace52146 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| publisher | Informa UK Limited |
| publisherStr | Informa UK Limited |
| record_format | dspace |
| spelling | CGSpace521462025-05-01T21:01:48Z Droughts in Pakistan: A spatiotemporal variability analysis using the standardized precipitation index Xie H Ringler, Claudia Zhu, T. Waqas A climate agriculture drought agricultural planning We investigated the spatiotemporal variability of drought incidence in Pakistan during 1960–2007 by calculating Standardized Precipitation Index fields for 3-, 6- and 12-month scales using gridded precipitation data. Principal component analysis revealed that droughts are wide-spread and often occur simultaneously over large areas. Furthermore, spectral analysis identified a 16-year drought recurrence period. Three such drought-intensive periods were identified: the late 1960s to early 1970s; the middle 1980s; and the late 1990s to early 2000s. Hence, drought patterns need to be integrated into long-term water planning as well as emergency preparedness. 2013-09 2014-12-16T06:37:36Z 2014-12-16T06:37:36Z Journal Article https://hdl.handle.net/10568/52146 en Open Access Informa UK Limited Xie H, Ringler C, Zhu T, Waqas A. 2013. Droughts in Pakistan: A spatiotemporal variability analysis using the standardized precipitation index. Water International 38(5):620-631. |
| spellingShingle | climate agriculture drought agricultural planning Xie H Ringler, Claudia Zhu, T. Waqas A Droughts in Pakistan: A spatiotemporal variability analysis using the standardized precipitation index |
| title | Droughts in Pakistan: A spatiotemporal variability analysis using the standardized precipitation index |
| title_full | Droughts in Pakistan: A spatiotemporal variability analysis using the standardized precipitation index |
| title_fullStr | Droughts in Pakistan: A spatiotemporal variability analysis using the standardized precipitation index |
| title_full_unstemmed | Droughts in Pakistan: A spatiotemporal variability analysis using the standardized precipitation index |
| title_short | Droughts in Pakistan: A spatiotemporal variability analysis using the standardized precipitation index |
| title_sort | droughts in pakistan a spatiotemporal variability analysis using the standardized precipitation index |
| topic | climate agriculture drought agricultural planning |
| url | https://hdl.handle.net/10568/52146 |
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