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A comparative analysis of pre- and post-industrial spatiotemporal drought trends and patterns of Tibet Plateau using Sen slope estimator and steady-state probabilities of Markov Chain

Author

Listed:
  • Zhenya Li

    (Hohai University
    Yangtze Institute for Conservation and Development)

  • Zulfiqar Ali

    (Tsinghua University)

  • Tong Cui

    (Tsinghua University)

  • Sadia Qamar

    (University of Sargodha)

  • Muhammad Ismail

    (Quaid-I-Azam University)

  • Amna Nazeer

    (COMSATS University)

  • Muhammad Faisal

    (University of Bradford)

Abstract

Drought poses a significant risk to human life, agriculture, energy, ecosystem, wildlife, and other aspects of the terrestrial system. Climate warming may increase drought hazards around the globe. This study compares the pre- and post-industrial impact of climate change on the spatiotemporal evolution of drought over the Tibet Plateau region. Two standardized drought indices (SDIs), namely Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI), are utilized to characterize drought by averaging the time-series data of precipitation and temperature from 23 climate models of Coupled Model Intercomparison Project 6 database. Sen slope estimates and steady-state probabilities of the Markov Chain are used to assess drought characteristics. This study shows that an increasing trend in temperature has led to increased evaporation. Increasing evaporation had caused expansion in water deficiency; the decreasing trend of SPEI index on almost the entire Tibet Plateau reveals the persistence of future drought. A slight increase has been observed in extreme wet classes in higher timescales. However, the long-term probabilities of extreme drought and extreme wet episodes at the one-month timescale of SPI are equivalent and stable in both periods. The chance of occurrences of severe drought episodes has decreased. Comparatively, a significant increase in the likelihood of severe drought has been observed under the SPEI. Furthermore, the spatiotemporal quantitative comparison reveals that the SPI index is consistent in both periods. However, a significant decline ratio of SPEI values has been observed in the post-industrial period. It is because increasing temperature causes more evaporation. Consequently, the increase in water deficiency is the main reason for increasing drought episodes under SPEI.

Suggested Citation

  • Zhenya Li & Zulfiqar Ali & Tong Cui & Sadia Qamar & Muhammad Ismail & Amna Nazeer & Muhammad Faisal, 2022. "A comparative analysis of pre- and post-industrial spatiotemporal drought trends and patterns of Tibet Plateau using Sen slope estimator and steady-state probabilities of Markov Chain," 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. 113(1), pages 547-576, August.
  • Handle: RePEc:spr:nathaz:v:113:y:2022:i:1:d:10.1007_s11069-022-05314-x
    DOI: 10.1007/s11069-022-05314-x
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. Saeed Azimi & Erfan Hassannayebi & Morteza Boroun & Mohammad Tahmoures, 2020. "Probabilistic Analysis of Long-Term Climate Drought Using Steady-State Markov Chain Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(15), pages 4703-4724, December.
    4. Tobias M. Erhardt & Claudia Czado, 2018. "Standardized drought indices: a novel univariate and multivariate approach," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 67(3), pages 643-664, April.
    5. Kevin E. Trenberth & Aiguo Dai & Gerard van der Schrier & Philip D. Jones & Jonathan Barichivich & Keith R. Briffa & Justin Sheffield, 2014. "Global warming and changes in drought," Nature Climate Change, Nature, vol. 4(1), pages 17-22, January.
    6. Jin Hyuck Kim & Jang Hyun Sung & Eun-Sung Chung & Sang Ug Kim & Minwoo Son & Mohammed Sanusi Shiru, 2021. "Comparison of Projection in Meteorological and Hydrological Droughts in the Cheongmicheon Watershed for RCP4.5 and SSP2-4.5," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    7. Rattana Chhin & Chantha Oeurng & Shigeo Yoden, 2020. "Drought projection in the Indochina Region based on the optimal ensemble subset of CMIP5 models," Climatic Change, Springer, vol. 162(2), pages 687-705, September.
    8. Yanqiang Wei & Yiping Fang, 2013. "Spatio-Temporal Characteristics of Global Warming in the Tibetan Plateau during the Last 50 Years Based on a Generalised Temperature Zone - Elevation Model," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-19, April.
    9. 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.
    10. Theodore J. Sheskin, 1985. "Technical Note—A Markov Chain Partitioning Algorithm for Computing Steady State Probabilities," Operations Research, INFORMS, vol. 33(1), pages 228-235, February.
    11. 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.
    12. Tahir Husain & Junaid Rafi Chaudhary, 2008. "Human Health Risk Assessment due to Global Warming – A Case Study of the Gulf Countries," IJERPH, MDPI, vol. 5(4), pages 1-9, November.
    13. G. Tsakiris & D. Pangalou & H. Vangelis, 2007. "Regional Drought Assessment Based on the Reconnaissance Drought Index (RDI)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(5), pages 821-833, May.
    14. Rattana Chhin & Chantha Oeurng & Shigeo Yoden, 2020. "Correction to: Drought projection in the Indochina region based on the optimal ensemble subset of CMIP5 models," Climatic Change, Springer, vol. 163(4), pages 2257-2258, December.
    15. Abdol Rassoul Zarei & Mohammad Mehdi Moghimi & Mohammad Reza Mahmoudi, 2016. "Parametric and Non-Parametric Trend of Drought in Arid and Semi-Arid Regions Using RDI Index," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5479-5500, November.
    16. Zuliqar Ali & Ijaz Hussain & Muhammad Faisal & Hafiza Mamona Nazir & Mitwali Abd-el Moemen & Tajammal Hussain & Sadaf Shamsuddin, 2017. "A Novel Multi-Scalar Drought Index for Monitoring Drought: the Standardized Precipitation Temperature Index," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(15), pages 4957-4969, December.
    17. 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.
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