Drought sensitivity characteristics and relationships between drought indices over Upper Blue Nile basin

• Autorzy: Kebede Abebe , Raju Jaya Prakash , Korecha Diriba , Takele Samuel , Nigussie Melessew

Identyfikatory

DOI

10.2478/jwld-2019-0064

Warianty tytułu

PL

Charakterystyka wrażliwości na suszę i zależności między jej wskaźnikami dla regionu górnego Nilu Błękitnego

• Języki publikacji: EN

Abstrakty

EN

Drought is an extreme event that causes great economic and environmental damage. The main objective of this study is to evaluate sensitivity, characterization and propagation of drought in the Upper Blue Nile. Drought indices: standardized precipitation index (SPI) and the recently developed standardized reconnaissance drought index (RDIst) are applied for five weather stations from 1980 to 2015 to evaluate RDIst applicability in the Upper Blue Nile. From our analysis both SPI and RDIst applied for 3-, 6-, 12 month of time scales follow the same trend, but in some time steps the RDIst varies with smaller amplitude than SPI. The severity and longer duration of drought compared with others periods of meteorological drought is found in the years 1984, 2002, 2009, 2015 including five weather stations and entire Upper Blue Nile. For drought relationships the correlation analysis is made across the time scales to evaluate the relationship between meteorological drought (SPI), soil moisture drought (SMI), and hydrological drought (SRI). We found that the correlation between three indices (SPI, SMI and SRI) at different time scales the 24-month time scale is dominant and are given by 0.82, 0.63 and 0.56.

PL

Susza jest ekstremalnym zjawiskiem, które powoduje ogromne straty ekonomiczne i szkody środowiskowe. Celem badań było określenie wrażliwości na suszę, charakterystyk i propagacji suszy w regionie górnego Nilu Błękitnego. Dwa wskaźniki suszy – wskaźnik standaryzowanego opadu (SPI) i niedawno opracowany wskaźnik RDIst (ang. standardized reconnaissance drought index) zastosowano do danych z pięciu stacji meteorologicznych z lat 1980 do 2015, aby ocenić przydatność tego drugiego do oceny sytuacji w regionie. Z analiz przeprowadzonych przez autorów niniejszej publikacji wynika, że oba wskaźniki wykazywały podobny trend zmian w przedziałach czasowych 3-, 6- i 12-miesięcznych, ale w pewnych okresach wskaźnik RDIst cechowała mniejsza amplituda zmian niż wskaźnik SPI. W odniesieniu do pięciu stacji meteorologicznych i całego obszaru górnego biegu Nilu Błękitnego najbardziej surowe i długotrwałe susze stwierdzono w latach 1984, 2002, 2009 i 2015 w porównaniu z innymi latami badań. Wykonano także analizę korelacji między wskaźnikami suszy meteorologicznej SPI, suszy glebowej SMI i suszy hydrologicznej SRI. Najsilniejszą korelację między tymi wskaźnikami stwierdzono dla 24-miesięcznych przedziałów czasowych, a odpowiednie współczynniki korelacji wynosiły 0,82, 0,63 i 0,56.

Słowa kluczowe

EN

drought; drought indices relationships; soil moisture index SMI; standardized reconnaissance drought index (RDIst); standardized precipitation index SPI; surface runoff index (SRI)

PL

standardized reconnaissance drought index (RDIst); standaryzowany wskaźnik odpływu (SRI); susza; wskaźnik standaryzowanego opadu SPI; wskaźnik uwilgotnienia gleby SMI; zależność między wskaźnikami suszy

• Wydawca: Wydawnictwo ITP
• Czasopismo: Journal of Water and Land Development
• Rocznik: 2019
• Tom: no. 43
• Strony: 64--75
• Opis fizyczny: Bibliogr. 35 poz., rys., tab.

Twórcy

autor

Kebede Abebe

• Bahir Dar University, Department of Physics, Washera Geospace and Radar Science Laboratory, Science College Bahir Dar, P.O. Box 79, Ethiopia; Arba Minch University, Faculty of Meteorology and Hydrology, Arba Minch, Ethiopia

autor

Raju Jaya Prakash

• Bahir Dar University, Science College, Department of Physics Washera Geospace and Radar Science Laboratory, Bahir Dar, Ethiopia

autor

Korecha Diriba

• Ethiopia USGS/Famine Early Warning Systems Network, Addis Ababa, Ethiopia

autor

Takele Samuel

• National Institute of Meteorological Sciences (NIMS), Climate Research Division, Jeju-do, Republic of Korea

autor

Nigussie Melessew

• Bahir Dar University, Department of Physics, Washera Geospace and Radar Science Laboratory, Bahir Dar, Ethiopia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).