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ENSO and IOD analysis on the occurrence of floods in Pakistan

Author

Listed:
  • Asif Iqbal

    (University of Karachi)

  • Syed Ahmad Hassan

    (University of Karachi)

Abstract

Different techniques have been used to discuss the existence of significant relation between the El Nino Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD). Various studies present their interaction and influence on the natural disasters (i.e. drought, flood, etc.) over large parts of the globe. This study uses a Markov chain method to investigate the relation between the ENSO and IOD for the period of 62 years (1950–2011) and aggregates their influence on the occurrence of floods in Pakistan. Both data sets show similarities in the formation of transition matrices and expected number of visits from one state to another. The strong values of 2-dimensional correlation and high self-communication of the transition states confirm the existence of a possible relation between ENSO and IOD data. Moreover, significant values of dependency and stationary test endorse the applicability of the Markov chain analyses. The independent analysis shows that strong events of both data sets are co-occurred in the same flood years. During the study period maximum number of floods was observed during summer monsoon season. However, further analysis shows that after 1970, Pakistan observed the highest percentage of floods occurred per year during El Nino, Non-ENSO and positive IOD years. These observations and results demonstrate that climate variability especially ENSO and IOD should be incorporated into disaster risk analyses and policies in Pakistan.

Suggested Citation

  • Asif Iqbal & Syed Ahmad Hassan, 2018. "ENSO and IOD analysis on the occurrence of floods in Pakistan," 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. 91(3), pages 879-890, April.
    • Handle: RePEc:spr:nathaz:v:91:y:2018:i:3:d:10.1007_s11069-017-3158-y
    DOI: 10.1007/s11069-017-3158-y
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    1. Anthony S. Kiem & Fiona Johnson & Seth Westra & Albert Dijk & Jason P. Evans & Alison O’Donnell & Alexandra Rouillard & Cameron Barr & Jonathan Tyler & Mark Thyer & Doerte Jakob & Fitsum Woldemeskel &, 2016. "Natural hazards in Australia: droughts," Climatic Change, Springer, vol. 139(1), pages 37-54, November.
    2. Biranchi Mahala & Birendra Nayak & Pratap Mohanty, 2015. "Impacts of ENSO and IOD on tropical cyclone activity in the Bay of Bengal," 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. 75(2), pages 1105-1125, January.
    3. Shamshad, A. & Bawadi, M.A. & Wan Hussin, W.M.A. & Majid, T.A. & Sanusi, S.A.M., 2005. "First and second order Markov chain models for synthetic generation of wind speed time series," Energy, Elsevier, vol. 30(5), pages 693-708.
    4. N. H. Saji & B. N. Goswami & P. N. Vinayachandran & T. Yamagata, 1999. "A dipole mode in the tropical Indian Ocean," Nature, Nature, vol. 401(6751), pages 360-363, September.
    5. Atta-ur-Rahman & Amir Khan, 2011. "Analysis of flood causes and associated socio-economic damages in the Hindukush region," 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. 59(3), pages 1239-1260, December.
    6. Asadullah Kazi, 2014. "A review of the assessment and mitigation of floods in Sindh, Pakistan," 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. 70(1), pages 839-864, January.
    Full references (including those not matched with items on IDEAS)

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