IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v103y2020i2d10.1007_s11069-020-04072-y.html
   My bibliography  Save this article

Assessing drought conditions through temporal pattern, spatial characteristic and operational accuracy indicated by SPI and SPEI: case analysis for Peninsular Malaysia

Author

Listed:
  • K. F. Fung

    (Universiti Tunku Abdul Rahman)

  • Y. F. Huang

    (Universiti Tunku Abdul Rahman)

  • C. H. Koo

    (Universiti Tunku Abdul Rahman)

Abstract

A strong understanding of severe drought conditions is important for its mitigation and damage alleviation. Given the Peninsular Malaysia’s drought vulnerability and its progressively increasing temperatures in the future, this study assessed the significance of temperature for the drought formation through temporal pattern, spatial characteristic and operational accuracy indicated by the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) at the timescales of 1-, 3- and 6-month. Temporal analyses of drought frequency and fluctuations of the SPI and SPEI showed similar changes in moisture responsiveness over the increasing timescales. However, in terms of the number of dry months, the two indices showed different trends, consequential of the influence of temperature in the SPEI. The interchangeability of the two indices was confirmed through spatial variation analysis of drought frequency, mean drought duration, mean drought severity and mean drought peak. From an occurrence, duration and onset detection accuracy consideration, the SPI is better for the 1-month short-term drought, while the SPEI is better for the 3-month mid-term and 6-month long-term droughts. This is a result of the increased significance of temperature in drought formations. Further evaluations on drought severity also showed that the SPEI had better description of the long-term drought over Peninsular Malaysia during the 1997/1998 and 2015/2016 El-Nino drought events.

Suggested Citation

  • K. F. Fung & Y. F. Huang & C. H. Koo, 2020. "Assessing drought conditions through temporal pattern, spatial characteristic and operational accuracy indicated by SPI and SPEI: case analysis for Peninsular Malaysia," 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(2), pages 2071-2101, September.
    • Handle: RePEc:spr:nathaz:v:103:y:2020:i:2:d:10.1007_s11069-020-04072-y
    DOI: 10.1007/s11069-020-04072-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-020-04072-y
    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/s11069-020-04072-y?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. A. N. Pettitt, 1979. "A Non‐Parametric Approach to the Change‐Point Problem," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 28(2), pages 126-135, June.
    2. Ziqi Yan & Yapeng Zhang & Zuhao Zhou & Ning Han, 2017. "The spatio-temporal variability of droughts using the standardized precipitation index in Yunnan, China," 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. 88(2), pages 1023-1042, September.
    3. J. N. Okpara & E. A. Afiesimama & A. C. Anuforom & A. Owino & K. O. Ogunjobi, 2017. "The applicability of Standardized Precipitation Index: drought characterization for early warning system and weather index insurance in West Africa," 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. 89(2), pages 555-583, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cheng, Minghan & Sun, Chengming & Nie, Chenwei & Liu, Shuaibing & Yu, Xun & Bai, Yi & Liu, Yadong & Meng, Lin & Jia, Xiao & Liu, Yuan & Zhou, Lili & Nan, Fei & Cui, Tengyu & Jin, Xiuliang, 2023. "Evaluation of UAV-based drought indices for crop water conditions monitoring: A case study of summer maize," Agricultural Water Management, Elsevier, vol. 287(C).
    2. Ismallianto Isia & Tony Hadibarata & Muhammad Noor Hazwan Jusoh & Rajib Kumar Bhattacharjya & Noor Fifinatasha Shahedan & Aissa Bouaissi & Norma Latif Fitriyani & Muhammad Syafrudin, 2022. "Drought Analysis Based on Standardized Precipitation Evapotranspiration Index and Standardized Precipitation Index in Sarawak, Malaysia," Sustainability, MDPI, vol. 15(1), pages 1-18, December.
    3. Marzieh Mokarram & Tam Minh Pham, 2023. "Prediction of drought-driven land use/land cover changes in the Bakhtegan Lake watershed of Iran using Markov chain cellular automata model and remote sensing data," 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 1291-1314, March.
    4. Gülay Onuşluel Gül & Ali Gül & Mohamed Najar, 2022. "Historical evidence of climate change impact on drought outlook in river basins: analysis of annual maximum drought severities through daily SPI definitions," 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. 110(2), pages 1389-1404, January.

    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. Stephen J. Déry & Marco A. Hernández-Henríquez & Tricia A. Stadnyk & Tara J. Troy, 2021. "Vanishing weekly hydropeaking cycles in American and Canadian rivers," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    2. Kazi Ali Tamaddun & Ajay Kalra & Sajjad Ahmad, 2019. "Spatiotemporal Variation in the Continental US Streamflow in Association with Large-Scale Climate Signals Across Multiple Spectral Bands," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 1947-1968, April.
    3. Omidreza Mikaili & Majid Rahimzadegan, 2022. "Investigating remote sensing indices to monitor drought impacts on a local scale (case study: Fars province, Iran)," 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. 111(3), pages 2511-2529, April.
    4. Jie Yang & Yimin Wang & Jun Yao & Jianxia Chang & Guoxin Xu & Xin Wang & Hui Hu, 2020. "Coincidence probability analysis of hydrologic low-flow under the changing environment in the Wei River Basin," 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(2), pages 1711-1726, September.
    5. Alina Bărbulescu & Cristian Ștefan Dumitriu, 2021. "On the Connection between the GEP Performances and the Time Series Properties," Mathematics, MDPI, vol. 9(16), pages 1-19, August.
    6. Alfredas Račkauskas & Martin Wendler, 2020. "Convergence of U-processes in Hölder spaces with application to robust detection of a changed segment," Statistical Papers, Springer, vol. 61(4), pages 1409-1435, August.
    7. Hsin-Yu Chen & Yu-Hsiang Hsu & Chia-Chi Huang & Hsin-Fu Yeh, 2023. "Baseflow Variation in Southern Taiwan Basin," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    8. Catherine Araujo Bonjean & Alioune N’diaye & Olivier Santoni, 2019. "Who benefits from the return of the rains? The case of the Ferlo breeders in Senegal [A qui profite le retour des pluies ? Le cas des éleveurs du Ferlo]," CERDI Working papers halshs-02419601, HAL.
    9. Roquia Salam & Abu Reza Md. Towfiqul Islam & Shakibul Islam, 2020. "Spatiotemporal distribution and prediction of groundwater level linked to ENSO teleconnection indices in the northwestern region of Bangladesh," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(5), pages 4509-4535, June.
    10. Gift Nxumalo & Bashar Bashir & Karam Alsafadi & Hussein Bachir & Endre Harsányi & Sana Arshad & Safwan Mohammed, 2022. "Meteorological Drought Variability and Its Impact on Wheat Yields across South Africa," IJERPH, MDPI, vol. 19(24), pages 1-22, December.
    11. Jing Xu & Ping Zhao & Johnny C. L. Chan & Mingyuan Shi & Chi Yang & Siyu Zhao & Ying Xu & Junming Chen & Ling Du & Jie Wu & Jiaxin Ye & Rui Xing & Huimei Wang & Lu Liu, 2024. "Increasing tropical cyclone intensity in the western North Pacific partly driven by warming Tibetan Plateau," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    12. Sanghyuk Yoo & Sangyong Jeon & Seunghwan Jeong & Heesoo Lee & Hosun Ryou & Taehyun Park & Yeonji Choi & Kyongjoo Oh, 2021. "Prediction of the Change Points in Stock Markets Using DAE-LSTM," Sustainability, MDPI, vol. 13(21), pages 1-15, October.
    13. Uilson Ricardo Venâncio Aires & Demetrius David Silva & Michel Castro Moreira & Carlos Antônio Alvares Soares Ribeiro & Celso Bandeira de Melo Ribeiro, 2020. "The Use of the Normalized Difference Vegetation Index to Analyze the Influence of Vegetation Cover Changes on the Streamflow in the Manhuaçu River Basin, Brazil," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(6), pages 1933-1949, April.
    14. Joseph Ngatchou-Wandji & Echarif Elharfaoui & Michel Harel, 2022. "On change-points tests based on two-samples U-Statistics for weakly dependent observations," Statistical Papers, Springer, vol. 63(1), pages 287-316, February.
    15. Hsin-Yu Chen & Chia-Chi Huang & Hsin-Fu Yeh, 2021. "Quantifying the Relative Contribution of the Climate Change and Human Activity on Runoff in the Choshui River Alluvial Fan, Taiwan," Land, MDPI, vol. 10(8), pages 1-14, August.
    16. Xue Zhong & Xiaohui Jiang & Leilei Li & Jing Xu & Huanyu Xu, 2020. "The Impact of Socio-Economic Factors on Sediment Load: A Case Study of the Yanhe River Watershed," Sustainability, MDPI, vol. 12(6), pages 1-18, March.
    17. Dario Camuffo & Antonio della Valle & Francesca Becherini & Valeria Zanini, 2020. "Three centuries of daily precipitation in Padua, Italy, 1713–2018: history, relocations, gaps, homogeneity and raw data," Climatic Change, Springer, vol. 162(2), pages 923-942, September.
    18. Ijaz Ahmad & Li Wang & Faisal Ali & Fan Zhang, 2022. "Spatiotemporal Patterns of Extreme Precipitation Events over Jhelum River Basin," Sustainability, MDPI, vol. 14(23), pages 1-18, November.
    19. Yuke Zhou & Junfu Fan & Xiaoying Wang, 2020. "Assessment of varying changes of vegetation and the response to climatic factors using GIMMS NDVI3g on the Tibetan Plateau," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-25, June.
    20. Tweneboah Senzu, Emmanuel, 2020. "Modern currency exchange rate behaviour and proposed trend-like forecasting model," MPRA Paper 99933, University Library of Munich, Germany.

    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:nathaz:v:103:y:2020:i:2:d:10.1007_s11069-020-04072-y. 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.