دورية أكاديمية
أعرض في EDS

Spatio-temporal characterization of drought variability in data-scarce regions using global precipitation data: a case study in Cauto river basin, Cuba.

التفاصيل البيبلوغرافية
العنوان: Spatio-temporal characterization of drought variability in data-scarce regions using global precipitation data: a case study in Cauto river basin, Cuba.
المؤلفون: Tran AP; Water Resources Institute, No. 8 Phao Dai Lang, Dong Da, Hanoi, Vietnam. phuongtran.monre@gmail.com., Tran BC; Water Resources Institute, No. 8 Phao Dai Lang, Dong Da, Hanoi, Vietnam., Campbell SB; Granma Provincial Delegation of Hydraulics Resources, Amdo Estévez s/n, Bayamo, Granma, Cuba., Nguyen NA; Water Resources Institute, No. 8 Phao Dai Lang, Dong Da, Hanoi, Vietnam., Tran DH; Water Resources Institute, No. 8 Phao Dai Lang, Dong Da, Hanoi, Vietnam., Nguyen TT; Thuyloi University, 175 Tay Son, Dong Da, Hanoi, Vietnam., Nguyen AD; Water Resources Institute, No. 8 Phao Dai Lang, Dong Da, Hanoi, Vietnam., Duong HS; Water Resources Institute, No. 8 Phao Dai Lang, Dong Da, Hanoi, Vietnam.
المصدر: Scientific reports [Sci Rep] 2024 May 22; Vol. 14 (1), pp. 11659. Date of Electronic Publication: 2024 May 22.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE
أسماء مطبوعة: Original Publication: London : Nature Publishing Group, copyright 2011-
مستخلص: Drought is considered the most severe water-related disaster in the Cauto river basin, which is the longest river and the main agricultural producer in Cuba. Better understanding of drought characteristics is crucial to drought management. Given the sparsity of ground-based precipitation observations in the Cauto, this study aims at using gridded global precipitation to analyze the spatio-temporal variations of drought in this river basin. Firstly, the monthly Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) was calibrated with the gauged precipitation using the Thiessen polygon-based method and linear least squares regression equations. Then, the gridded standardized precipitation index (SPI) with time scales of 3, 6, 9 months and drought characteristics, namely, drought frequency, duration and intensity were calculated using the calibrated CHIRPS. Finally, the spatio-temporal analysis was performed to investigate the variations of drought in the Cauto river basin in time and space. The obtained results show that the calibrated CHIRPS is highly consistent with the gauged observations and is capable of determining the magnitude, time, and spatial extent of drought events in the Cauto river basin. The trend analysis by the Mann-Kendall test reveals that although the trend is not statistically significant, the SPI tends to decrease with time in the dry season, which indicates the more severe drought. The spatial analysis indicates that the lower altitude area of the Cauto river basin is suffered from longer drought duration and higher drought intensity than the upper one. This study expresses the importance of open global precipitation data sources in monitoring and quantifying drought characteristics in data-scarce regions.
(© 2024. The Author(s).)
References: Environ Sci Pollut Res Int. 2022 May;29(24):36115-36132. (PMID: 35061185)
معلومات مُعتمدة: NĐT.100.CU/21 Ministry of Science and Technology
فهرسة مساهمة: Keywords: CHIRPS; Drought characteristics; Spatial analysis; Standardized precipitation index (SPI); Thiessen polygon; Trend analysis
تواريخ الأحداث: Date Created: 20240522 Latest Revision: 20240525
رمز التحديث: 20240525
مُعرف محوري في PubMed: PMC11111679
DOI: 10.1038/s41598-024-61709-9
PMID: 38778092
قاعدة البيانات: MEDLINE
الوصف
تدمد:2045-2322
DOI:10.1038/s41598-024-61709-9