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Applicability of Combined Drought Index in drought analysis over North Eastern Kenya

Author

Listed:
  • Zablon W. Shilenje

    (County Government of Kakamega
    Kenya Meteorological Department)

  • Victor Ongoma

    (The University of the South Pacific)

  • Mercy Njagi

    (Kenya Meteorological Department)

Abstract

Droughts are hindrances to economic and social developments in many parts of the world, especially in developing nations like Kenya. In North Eastern Kenya (NEK), drought is very prevalent. The communities in the region are mainly dependent on animal farming, and drought occurrence leads to great socioeconomic setback. Drought indices used in most studies consider rainfall as the only parameter for assessing drought occurrences. This study analyzes drought in NEK using the Standardized Precipitation Index (SPI) and the Combined Drought Index (CDI) using rainfall and temperature values and Normalized Difference Vegetation Index values for the period 1980–2010. The results of the two indices show significant correlation. However, CDI is preferred in the analysis of the drought compared to the SPI as it gives drought in more detail, showing extreme, severe, moderate and mild. The study recommends the use of the two methods independently since they give similar results and further recommends trial in other parts of the country affected by drought.

Suggested Citation

  • Zablon W. Shilenje & Victor Ongoma & Mercy Njagi, 2019. "Applicability of Combined Drought Index in drought analysis over North Eastern Kenya," 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. 99(1), pages 379-389, October.
    • Handle: RePEc:spr:nathaz:v:99:y:2019:i:1:d:10.1007_s11069-019-03745-7
    DOI: 10.1007/s11069-019-03745-7
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    References listed on IDEAS

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    1. Chris Funk, 2011. "We thought trouble was coming," Nature, Nature, vol. 476(7358), pages 7-7, August.
    2. Linda Botterill & Michael Hayes, 2012. "Drought triggers and declarations: science and policy considerations for drought risk management," 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. 64(1), pages 139-151, October.
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    5. Davar Khalili & Tohid Farnoud & Hamed Jamshidi & Ali Kamgar-Haghighi & Shahrokh Zand-Parsa, 2011. "Comparability Analyses of the SPI and RDI Meteorological 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. 25(6), pages 1737-1757, April.
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    Cited by:

    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. Jianwei Wang & Tianling Qin & Xizhi Lv & Yongxin Ni & Qiufen Zhang & Li Ma, 2023. "Study of Optimal and Joint Allocations of Water and land Resources for Multiple Objectives," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(3), pages 1241-1256, February.

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    Keywords

    Drought; Drought indices; NDVI; SPI; CDI; Kenya;
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