IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v37y2023i13d10.1007_s11269-023-03596-9.html
   My bibliography  Save this article

Integration of Three Standardized Drought Indices utilizing Modified Triple Collocation and Scaled Triple Collocation relative to Triple Collocation

Author

Listed:
  • Zanib Badar

    (Quaid-I-Azam University)

  • Mohammed M. A. Almazah

    (King Khalid University)

  • Ijaz Hussain

    (Quaid-I-Azam University)

  • Fuad S. Al-Duais

    (Prince Sattam Bin Abdulaziz University)

  • A. Y. Al-Rezami

    (Prince Sattam Bin Abdulaziz University)

  • Muhammad Sulaman Ijaz

    (IRM Complex)

Abstract

Droughts have a detrimental effect on plenty of social and economic endeavors along with surface and groundwater resources. Therefore, drought must be adequately considered when planning and regulating the water supply. This study will look at the latest developments in merging techniques to lessen the inconsistent drought monitoring and characterization attributed to the global standard shortage. The current research considers the framework of three distinct standardized indicators, SPI, SPTI, and SPEI, of six metrological stations in Pakistan from 1971 to 2017, intending to analyze drought using integrating techniques. Two merging techniques, Modified Triple Collocation (MTC) and proposed Scaled Triple Collocation (STC), are examined relative to Triple Collocation (TC). Correlation, Sen’s Slope, Taylor diagram, Kling Gupta Efficiency (KGE), and error variance analyses were used to evaluate their performance. The correlation study reveals that individual series have a comparable relationship with Merged Drought Index (MDI) model from MTC, STC, and TC. However, individual indices SPI and SPTI are strongly associated with MTC and STC-based MDI compared to SPEI. Sen's slope shows the same trend across all approaches with minimal amplitude divergence. KGE was assessed using an average of one hundred thousand simulated values, and STC and TC demonstrated higher efficiency than MTC. But MTC has a lower error variance in contrast to STC and TC. Overall, the current study's findings validate that Merged Drought Index (MDI) based on MTC and proposed STC provides a better quantitative way to merge three separate drought indices into a single index. So, MDI successfully captured recorded drought episodes throughout the research locations, indicating that the merging method can be a workable option to identify drought accurately.

Suggested Citation

  • Zanib Badar & Mohammed M. A. Almazah & Ijaz Hussain & Fuad S. Al-Duais & A. Y. Al-Rezami & Muhammad Sulaman Ijaz, 2023. "Integration of Three Standardized Drought Indices utilizing Modified Triple Collocation and Scaled Triple Collocation relative to Triple Collocation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(13), pages 5081-5103, October.
    • Handle: RePEc:spr:waterr:v:37:y:2023:i:13:d:10.1007_s11269-023-03596-9
    DOI: 10.1007/s11269-023-03596-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-023-03596-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11269-023-03596-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Rizwan Niaz & Xiang Zhang & Nouman Iqbal & Mohammed M.A. Almazah & Tajammal Hussain & Ijaz Hussain & Feng Li, 2021. "Logistic Regression Analysis for Spatial Patterns of Drought Persistence," Complexity, Hindawi, vol. 2021, pages 1-13, November.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Anwar Hussain & Masoud Reihanifar & Rizwan Niaz & Olayan Albalawi & Mohsen Maghrebi & Abdelkader T. Ahmed & Ali Danandeh Mehr, 2024. "Characterizing Inter-Seasonal Meteorological Drought Using Random Effect Logistic Regression," Sustainability, MDPI, vol. 16(19), pages 1-20, September.
    2. Farman Ali & Bing-Zhao Li & Zulfiqar Ali, 2021. "Strengthening Drought Monitoring Module by Ensembling Auxiliary Information Based Varying Estimators," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(10), pages 3235-3252, August.
    3. Dongxing Zhang & Dang Luo, 2022. "Assessment of agricultural drought loss using a skewed grey cloud ordered clustering 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. 114(3), pages 2787-2810, December.
    4. Batool, Aamina & Kartal, Veysi & Ali, Zulfiqar & Scholz, Miklas & Ali, Farman, 2025. "A novel regional forecastable multiscalar standardized drought index (RFMSDI) for regional drought monitoring and assessment," Agricultural Water Management, Elsevier, vol. 308(C).
    5. Zulfiqar Ali & Ijaz Hussain & Muhammad Faisal & Dost Muhammad Khan & Rizwan Niaz & Elsayed Elsherbini Elashkar & Alaa Mohamd Shoukry, 2020. "Propagation of the Multi-Scalar Aggregative Standardized Precipitation Temperature Index and its Application," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 699-714, January.
    6. 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.
    7. Nadjib Haied & Atif Foufou & Samira Khadri & Adel Boussaid & Mohamed Azlaoui & Nabil Bougherira, 2023. "Spatial and Temporal Assessment of Drought Hazard, Vulnerability and Risk in Three Different Climatic Zones in Algeria Using Two Commonly Used Meteorological Indices," Sustainability, MDPI, vol. 15(10), pages 1-25, May.
    8. Jew Das & N. V. Umamahesh, 2018. "Spatio-Temporal Variation of Water Availability in a River Basin under CORDEX Simulated Future Projections," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(4), pages 1399-1419, March.
    9. Zulfiqar Ali & Asad Ellahi & Ijaz Hussain & Amna Nazeer & Sadia Qamar & Guangheng Ni & Muhammad Faisal, 2021. "Reduction of Errors in Hydrological Drought Monitoring – A Novel Statistical Framework for Spatio-Temporal Assessment of Drought," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(13), pages 4363-4380, October.
    10. Zulfiqar Ali & Sadia Qamar & Nasrulla Khan & Muhammad Faisal & Saad Sh. Sammen, 2023. "A New Regional Drought Index under X-bar Chart Based Weighting Scheme – The Quality Boosted Regional Drought Index (QBRDI)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(5), pages 1895-1911, March.
    11. Alina Mukhtar & Aamina Batool & Zulfiqar Ali & Sadia Qamar & Saba Riaz & Saad Sh. Sammen, 2024. "A New Hybrid Weighted Regional Drought Index to Improve Regional Drought Assessment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(14), pages 5541-5558, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:37:y:2023:i:13:d:10.1007_s11269-023-03596-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.