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Drought class transition analysis through Markov and Loglinear models, an approach to early warning

Author

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  • Paulo, A.A.
  • Ferreira, E.
  • Coelho, C.
  • Pereira, L.S.

Abstract

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Suggested Citation

  • Paulo, A.A. & Ferreira, E. & Coelho, C. & Pereira, L.S., 2005. "Drought class transition analysis through Markov and Loglinear models, an approach to early warning," Agricultural Water Management, Elsevier, vol. 77(1-3), pages 59-81, August.
    • Handle: RePEc:eee:agiwat:v:77:y:2005:i:1-3:p:59-81
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    Cited by:

    1. Jie Yang & Yimin Wang & Jianxia Chang & Jun Yao & Qiang Huang, 2016. "Integrated assessment for hydrometeorological drought based on Markov chain model," 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. 84(2), pages 1137-1160, November.
    2. Jianzhu Li & Shuhan Zhou & Rong Hu, 2016. "Hydrological Drought Class Transition Using SPI and SRI Time Series by Loglinear Regression," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 669-684, January.
    3. Anshuka Anshuka & Floris F. van Ogtrop & R. Willem Vervoort, 2019. "Drought forecasting through statistical models using standardised precipitation index: a systematic review and meta-regression analysis," 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. 97(2), pages 955-977, June.
    4. Ana Paulo & Luis Pereira, 2007. "Prediction of SPI Drought Class Transitions Using Markov Chains," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(10), pages 1813-1827, October.
    5. Panagiotis Angelidis & Fotios Maris & Nikos Kotsovinos & Vlassios Hrissanthou, 2012. "Computation of Drought Index SPI with Alternative Distribution Functions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(9), pages 2453-2473, July.
    6. Jianzhu Li & Shuhan Zhou & Rong Hu, 2016. "Hydrological Drought Class Transition Using SPI and SRI Time Series by Loglinear Regression," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 669-684, January.
    7. Javad Bazrafshan & Somayeh Hejabi & Jaber Rahimi, 2014. "Drought Monitoring Using the Multivariate Standardized Precipitation Index (MSPI)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(4), pages 1045-1060, March.
    8. Shibao Lu & Yizi Shang & Hongbo Zhang, 2020. "Evaluation on Early Drought Warning System in the Jinghui Channel Irrigation Area," IJERPH, MDPI, vol. 17(1), pages 1-25, January.
    9. Ana Paulo & Luis Pereira, 2008. "Stochastic Prediction of Drought Class Transitions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(9), pages 1277-1296, September.
    10. Tayeb Raziei & Diogo Martins & Isabella Bordi & João Santos & Maria Portela & Luis Pereira & Alfonso Sutera, 2015. "SPI Modes of Drought Spatial and Temporal Variability in Portugal: Comparing Observations, PT02 and GPCC Gridded Datasets," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(2), pages 487-504, January.
    11. Huan Wang & Jiejun Huang & Han Zhou & Lixue Zhao & Yanbin Yuan, 2019. "An Integrated Variational Mode Decomposition and ARIMA Model to Forecast Air Temperature," Sustainability, MDPI, vol. 11(15), pages 1-11, July.
    12. Hsin-Fu Yeh & Hsin-Li Hsu, 2019. "Using the Markov Chain to Analyze Precipitation and Groundwater Drought Characteristics and Linkage with Atmospheric Circulation," Sustainability, MDPI, vol. 11(6), pages 1-18, March.
    13. Tayeb Raziei & Bahram Saghafian & Ana Paulo & Luis Pereira & Isabella Bordi, 2009. "Spatial Patterns and Temporal Variability of Drought in Western Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(3), pages 439-455, February.
    14. Mohammad Mehdi Bateni & Javad Behmanesh & Javad Bazrafshan & Hossein Rezaie & Carlo Michele, 2018. "Simple Short-Term Probabilistic Drought Prediction Using Mediterranean Teleconnection Information," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(13), pages 4345-4358, October.
    15. Wentao Yang & Min Deng & Jianbo Tang & Rui Jin, 2020. "On the use of Markov chain models for drought class transition analysis while considering spatial effects," 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. 103(3), pages 2945-2959, September.
    16. Zeyad Tarawneh & Elgaali Elgaali & Moshrik Hamdi, 2009. "Bi-site Analysis of Meteorological Drought Duration: Theoretical Modeling and Application," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(14), pages 3005-3018, November.
    17. Gideon A. Nnaji & Clayton J. Clark & Amy B. Chan-Hilton & Wenrui Huang, 2016. "Drought prediction in Apalachicola–Chattahoochee–Flint River Basin using a semi-Markov model," 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. 82(1), pages 267-297, May.
    18. Vergni, L. & Todisco, F. & Di Lena, B. & Mannocchi, F., 2020. "Bivariate analysis of drought duration and severity for irrigation planning," Agricultural Water Management, Elsevier, vol. 229(C).
    19. Fadhilah Yusof & Foo Hui-Mean & Jamaludin Suhaila & Zulkifli Yusof, 2013. "Characterisation of Drought Properties with Bivariate Copula Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(12), pages 4183-4207, September.

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