FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2954054501> ?p ?o ?g. }

• W2954054501 endingPage "204" @default.
• W2954054501 startingPage "189" @default.
• W2954054501 abstract "CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsSpecials CR 78:189-204 (2019) - DOI: https://doi.org/10.3354/cr01568 Historical analysis (1981-2017) of drought severity and magnitude over a predominantly arid region of Pakistan Saadia Hina1,2,3,*, Farhan Saleem2,4 1State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, PR China 2College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, PR China 3Department of Environmental Sciences and Engineering, Government College University Faisalabad, Faisalabad 38000, Pakistan 4International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, PR China *Corresponding author: saadiahina@yahoo.com 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. KEY WORDS: Drought indices · Severity · Trend analysis · Climate change · Pakistan Full text in pdf format NextCite this article as: Hina S, Saleem F (2019) Historical analysis (1981-2017) of drought severity and magnitude over a predominantly arid region of Pakistan. Clim Res 78:189-204. https://doi.org/10.3354/cr01568 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in CR Vol. 78, No. 3. Online publication date: August 22, 2019 Print ISSN: 0936-577X; Online ISSN: 1616-1572 Copyright © 2019 Inter-Research." @default.
• W2954054501 created "2019-07-12" @default.
• W2954054501 creator A5026110157 @default.
• W2954054501 creator A5086492142 @default.
• W2954054501 date "2019-08-22" @default.
• W2954054501 modified "2023-09-28" @default.
• W2954054501 title "Historical analysis (1981-2017) of drought severity and magnitude over a predominantly arid region of Pakistan" @default.
• W2954054501 cites W1002716595 @default.
• W2954054501 cites W1542690950 @default.
• W2954054501 cites W1550680650 @default.
• W2954054501 cites W1555950902 @default.
• W2954054501 cites W1669944625 @default.
• W2954054501 cites W1891556535 @default.
• W2954054501 cites W1935854590 @default.
• W2954054501 cites W1966832329 @default.
• W2954054501 cites W1974965531 @default.
• W2954054501 cites W1980530606 @default.
• W2954054501 cites W1980750894 @default.
• W2954054501 cites W1985307933 @default.
• W2954054501 cites W1987393241 @default.
• W2954054501 cites W1987820645 @default.
• W2954054501 cites W1988087892 @default.
• W2954054501 cites W1994174786 @default.
• W2954054501 cites W2000257837 @default.
• W2954054501 cites W2000262768 @default.
• W2954054501 cites W2002115844 @default.
• W2954054501 cites W2003561179 @default.
• W2954054501 cites W2005738319 @default.
• W2954054501 cites W2006809103 @default.
• W2954054501 cites W2007486078 @default.
• W2954054501 cites W2008885993 @default.
• W2954054501 cites W2012029812 @default.
• W2954054501 cites W2013298948 @default.
• W2954054501 cites W2014574770 @default.
• W2954054501 cites W2015829524 @default.
• W2954054501 cites W2017886371 @default.
• W2954054501 cites W2018764772 @default.
• W2954054501 cites W2021796600 @default.
• W2954054501 cites W2023646846 @default.
• W2954054501 cites W2029884299 @default.
• W2954054501 cites W2033804135 @default.
• W2954054501 cites W2036673258 @default.
• W2954054501 cites W2037355502 @default.
• W2954054501 cites W2042836730 @default.
• W2954054501 cites W2048503234 @default.
• W2954054501 cites W2049258279 @default.
• W2954054501 cites W2059627215 @default.
• W2954054501 cites W2060848753 @default.
• W2954054501 cites W2062620430 @default.
• W2954054501 cites W2062678702 @default.
• W2954054501 cites W2063719203 @default.
• W2954054501 cites W2070888800 @default.
• W2954054501 cites W2072214772 @default.
• W2954054501 cites W2076488361 @default.
• W2954054501 cites W2076571926 @default.
• W2954054501 cites W2082385977 @default.
• W2954054501 cites W2089536611 @default.
• W2954054501 cites W2091783762 @default.
• W2954054501 cites W2092320890 @default.
• W2954054501 cites W2104157175 @default.
• W2954054501 cites W2159610023 @default.
• W2954054501 cites W2161462493 @default.
• W2954054501 cites W2166186402 @default.
• W2954054501 cites W2220478735 @default.
• W2954054501 cites W2254373047 @default.
• W2954054501 cites W2285682769 @default.
• W2954054501 cites W2318680928 @default.
• W2954054501 cites W2346168026 @default.
• W2954054501 cites W2462646881 @default.
• W2954054501 cites W2470033792 @default.
• W2954054501 cites W2475600377 @default.
• W2954054501 cites W2525079265 @default.
• W2954054501 cites W2541931936 @default.
• W2954054501 cites W2577832747 @default.
• W2954054501 cites W2581109324 @default.
• W2954054501 cites W2591017175 @default.
• W2954054501 cites W2599562702 @default.
• W2954054501 cites W2753170345 @default.
• W2954054501 cites W2765719052 @default.
• W2954054501 cites W2766381676 @default.
• W2954054501 cites W2768091302 @default.
• W2954054501 cites W2790982896 @default.
• W2954054501 cites W2805984498 @default.
• W2954054501 cites W2810947872 @default.
• W2954054501 cites W2888603611 @default.
• W2954054501 cites W2915689106 @default.
• W2954054501 doi "https://doi.org/10.3354/cr01568" @default.
• W2954054501 hasPublicationYear "2019" @default.
• W2954054501 type Work @default.
• W2954054501 sameAs 2954054501 @default.
• W2954054501 citedByCount "26" @default.
• W2954054501 countsByYear W29540545012020 @default.
• W2954054501 countsByYear W29540545012021 @default.
• W2954054501 countsByYear W29540545012022 @default.
• W2954054501 countsByYear W29540545012023 @default.
• W2954054501 crossrefType "journal-article" @default.
• W2954054501 hasAuthorship W2954054501A5026110157 @default.
• W2954054501 hasAuthorship W2954054501A5086492142 @default.

• next