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Drought assessment and characterization using SPI, EDI and DEPI indices in northern Algeria

Author

Listed:
  • Brahim Habibi

    (Hassiba Benbouali University of Chlef
    GEE Laboratory)

  • Mohamed Meddi

    (National School of Hydraulics
    GEE Laboratory)

  • Topçu Emre

    (Kafkas University)

  • Abdelkader Boucefiane

    (Djilali Bounaama University of Khemis Miliana
    GEE Laboratory)

  • Abedelwahab Rahmouni

    (University Hassiba Benbouali of Chlef
    GEE Laboratory)

Abstract

The average annual precipitation values in the Cheliff-Zahrez basin range from 80 to 600 mm/an, indicating a semi-arid climate. This work revolves around a new drought exceedance probability index (DEPI), a standardized precipitation index (SPI) and effective drought index (EDI) in different time scales (3, 6, 9, 12 and 24) derived from monthly precipitation series stretching from September 1970 to August 2015. The latter aims to analyze the performance, similarities and differences between the most used drought indices such as SPI and EDI and to compare their results with those obtained using DEPI. The results indicated that the majority of selected stations tend to a decline in annual rainfall, with a dominant break in series between 1970 and 1980. The Mann–Kendall test result showed that the monthly rainfall trend had significantly decreased in the majority of studied stations. Furthermore, the SPI and EDI series showed persistent monthly drought conditions from January 1970 to March 2010 with an extreme drought peak of − 3. However, the DEPI index showed monthly drought events ( 80%) between SPI and EDI at the time scale of 24 months. At the 9- and 12-month scale, the coefficient of determination showed a variance greater than 50% over the entire basin. On the other hand, the coefficients of determination results between SPI and EDI for the time scale of 3 to 6 months are characterized by a gradient from the northeast to southwest or from 10 to 90%. The stations of the Coastline 2 basin have revealed that the relationship between SPI and DEPI as well as EDI and DEPI is not significant, being allowed between 10 and 30% on time scales of 3, 6, 9, 12 and 24 months. The results of this work and information on the severity and persistence of droughts will be essential to enable managers to adopt an integrated and sustainable management of scarce resources and aim at minimizing agricultural production losses in the region.

Suggested Citation

  • Brahim Habibi & Mohamed Meddi & Topçu Emre & Abdelkader Boucefiane & Abedelwahab Rahmouni, 2024. "Drought assessment and characterization using SPI, EDI and DEPI indices in northern Algeria," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(6), pages 5201-5231, April.
    • Handle: RePEc:spr:nathaz:v:120:y:2024:i:6:d:10.1007_s11069-024-06408-4
    DOI: 10.1007/s11069-024-06408-4
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    References listed on IDEAS

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    1. Qianchuan Mi & Chuanyou Ren & Yanhua Wang & Xining Gao & Limin Liu & Yue Li, 2023. "A robust ensemble drought index: construction and assessment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(1), pages 1139-1159, March.
    2. Rizwan Niaz & Fahad Tanveer & Mohammed M. A. Almazah & Ijaz Hussain & Soliman Alkhatib & A.Y. Al-Razami & Haitham Abdulmohsin Afan, 2022. "Characterization of Meteorological Drought Using Monte Carlo Feature Selection and Steady-State Probabilities," Complexity, Hindawi, vol. 2022, pages 1-19, May.
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    4. Seyed Banimahd & Davar Khalili, 2013. "Factors Influencing Markov Chains Predictability Characteristics, Utilizing SPI, RDI, EDI and SPEI Drought Indices in Different Climatic Zones," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(11), pages 3911-3928, September.
    5. L. Vergni & F. Todisco & B. Lena, 2021. "Evaluation of the similarity between drought indices by correlation analysis and Cohen's Kappa test in a Mediterranean area," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(2), pages 2187-2209, September.
    6. Anurag Malik & Anil Kumar & Ozgur Kisi & Najeebullah Khan & Sinan Q. Salih & Zaher Mundher Yaseen, 2021. "Analysis of dry and wet climate characteristics at Uttarakhand (India) using effective drought index," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(2), pages 1643-1662, January.
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