IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2022i1p734-d1021682.html
   My bibliography  Save this article

Drought Analysis Based on Standardized Precipitation Evapotranspiration Index and Standardized Precipitation Index in Sarawak, Malaysia

Author

Listed:
  • Ismallianto Isia

    (Environment Engineering Program, Curtin University Malaysia, CDT 250, Miri 98009, Sarawak, Malaysia)

  • Tony Hadibarata

    (Environment Engineering Program, Curtin University Malaysia, CDT 250, Miri 98009, Sarawak, Malaysia)

  • Muhammad Noor Hazwan Jusoh

    (Environment Engineering Program, Curtin University Malaysia, CDT 250, Miri 98009, Sarawak, Malaysia)

  • Rajib Kumar Bhattacharjya

    (Department of Civil Engineering, Indian Institute of Technology Guwahati, North Guwahati, Guwahati 781039, Assam, India)

  • Noor Fifinatasha Shahedan

    (Environment Engineering Program, Curtin University Malaysia, CDT 250, Miri 98009, Sarawak, Malaysia)

  • Aissa Bouaissi

    (United Kingdom School of Engineering, University of Plymouth, Plymouth PL4 8AA, UK)

  • Norma Latif Fitriyani

    (Department of Data Science, Sejong University, Seoul 05006, Republic of Korea)

  • Muhammad Syafrudin

    (Department of Artificial Intelligence, Sejong University, Seoul 05006, Republic of Korea)

Abstract

Drought analysis via the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) is necessary for effective water resource management in Sarawak, Malaysia. Rainfall is the best indicator of a drought, but the temperature is also significant because it controls evaporation and condensation. This study examined drought periods in the state of Sarawak using the SPI and SPEI based on monthly precipitation and temperature data from thirty-three rainfall stations during a forty-year period (1981–2020). This analysis of drought conditions revealed that both the SPI and SPEI were able to detect drought temporal variations with distinct time scales (3, 6, 9, and 12 months). Taking precipitation and evapotranspiration data into account, the SPEI was able to identify more severe-to-extreme drought in the study area over longer time periods and moderate droughts over shorter time periods than the standard drought index. According to Pearson correlation coefficients, a substantial association existed between the SPI and SPEI during hydrological dryness. Based on the results, the temperature is a decisive factor in drought classification, and the SPI should only be used in the absence of temperature data.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:734-:d:1021682
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/1/734/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/1/734/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Anurag Malik & Anil Kumar & Ozgur Kisi & Najeebullah Khan & Sinan Q. Salih & Zaher Mundher Yaseen, 2021. "Analysis of dry and wet climate characteristics at Uttarakhand (India) using effective drought index," 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. 105(2), pages 1643-1662, January.
    3. Mondol, Md Anarul Haque & Zhu, Xuan & Dunkerley, David & Henley, Benjamin J., 2021. "Observed meteorological drought trends in Bangladesh identified with the Effective Drought Index (EDI)," Agricultural Water Management, Elsevier, vol. 255(C).
    4. Pawan S. Wable & Madan K. Jha & Ankit Shekhar, 2019. "Comparison of Drought Indices in a Semi-Arid River Basin of India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(1), pages 75-102, January.
    5. Olaniyi, Oladokun Nafiu & Szulczyk, Kenneth R., 2022. "Estimating the economic impact of the white root rot disease on the Malaysian rubber plantations," Forest Policy and Economics, Elsevier, vol. 138(C).
    6. Nodin, Mohd Norazmi & Mustafa, Zainol & Hussain, Saiful Izzuan, 2022. "Assessing rice production efficiency for food security policy planning in Malaysia: A non-parametric bootstrap data envelopment analysis approach," Food Policy, Elsevier, vol. 107(C).
    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. Ismallianto Isia & Tony Hadibarata & Muhammad Noor Hazwan Jusoh & Rajib Kumar Bhattacharjya & Noor Fifinatasha Shahedan & Norma Latif Fitriyani & Muhammad Syafrudin, 2023. "Identifying Factors to Develop and Validate Social Vulnerability to Floods in Malaysia: A Systematic Review Study," Sustainability, MDPI, vol. 15(17), pages 1-21, August.

    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. Gokhan Yildirim & Ataur Rahman, 2022. "Spatiotemporal meteorological drought assessment: a case study in south-east Australia," 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(1), pages 305-332, March.
    2. Gokhan Yildirim & Ataur Rahman, 2022. "Homogeneity and trend analysis of rainfall and droughts over Southeast Australia," 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. 112(2), pages 1657-1683, June.
    3. L. Vergni & F. Todisco & B. Lena, 2021. "Evaluation of the similarity between drought indices by correlation analysis and Cohen's Kappa test in a Mediterranean area," 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. 108(2), pages 2187-2209, September.
    4. Shekhar, Ankit & Shapiro, Charles A., 2022. "Prospective crop yield and income return based on a retrospective analysis of a long-term rainfed agriculture experiment in Nebraska," Agricultural Systems, Elsevier, vol. 198(C).
    5. Meng Luo & Shengwei Zhang & Lei Huang & Zhiqiang Liu & Lin Yang & Ruishen Li & Xi Lin, 2022. "Temporal and Spatial Changes of Ecological Environment Quality Based on RSEI: A Case Study in Ulan Mulun River Basin, China," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
    6. Mondol, Md Anarul Haque & Zhu, Xuan & Dunkerley, David & Henley, Benjamin J., 2022. "Changing occurrence of crop water surplus or deficit and the impact of irrigation: An analysis highlighting consequences for rice production in Bangladesh," Agricultural Water Management, Elsevier, vol. 269(C).
    7. Ismallianto Isia & Tony Hadibarata & Muhammad Noor Hazwan Jusoh & Rajib Kumar Bhattacharjya & Noor Fifinatasha Shahedan & Norma Latif Fitriyani & Muhammad Syafrudin, 2023. "Identifying Factors to Develop and Validate Social Vulnerability to Floods in Malaysia: A Systematic Review Study," Sustainability, MDPI, vol. 15(17), pages 1-21, August.
    8. Yi-Xuan Lu & Si-Ting Wang & Guan-Xin Yao & Jing Xu, 2023. "Green Total Factor Efficiency in Vegetable Production: A Comprehensive Ecological Analysis of China’s Practices," Agriculture, MDPI, vol. 13(10), pages 1-25, October.
    9. Anurag Malik & Anil Kumar & Ozgur Kisi & Najeebullah Khan & Sinan Q. Salih & Zaher Mundher Yaseen, 2021. "Analysis of dry and wet climate characteristics at Uttarakhand (India) using effective drought index," 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. 105(2), pages 1643-1662, January.
    10. Abdol Rassoul Zarei & Mohammad Reza Mahmoudi, 2020. "Ability Assessment of the Stationary and Cyclostationary Time Series Models to Predict Drought Indices," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(15), pages 5009-5029, December.
    11. Kenneth R. Szulczyk, 2023. "Estimating the economic costs and mitigation of rice blast infecting the Malaysian paddy fields," SN Business & Economics, Springer, vol. 3(1), pages 1-21, January.
    12. 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.
    13. Nodin, Mohd Norazmi & Mustafa, Zainol & Hussain, Saiful Izzuan, 2023. "Eco-efficiency assessment of Malaysian rice self-sufficiency approach," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    14. Salih Muhammad Awadh & Ahmed H. Al-Sulttani & Zaher Mundher Yaseen, 2022. "Temporal dynamic drought interpretation of Sawa Lake: case study located at the Southern Iraqi 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. 112(1), pages 619-638, May.
    15. 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.
    16. Huang, Wenhuan & Wang, Hailong, 2021. "Drought and intensified agriculture enhanced vegetation growth in the central Pearl River Basin of China," Agricultural Water Management, Elsevier, vol. 256(C).
    17. Yu He & Wenkuan Chen, 2023. "Evaluation of Sustainable Development Policy of Sichuan Citrus Industry in China Based on DEA–Malmquist Index and DID Model," Sustainability, MDPI, vol. 15(5), pages 1-23, February.
    18. Omvir Singh & Divya Saini & Pankaj Bhardwaj, 2021. "Characterization of meteorological drought over a dryland ecosystem in north western India," 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. 109(1), pages 785-826, October.
    19. 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).

    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:gam:jsusta:v:15:y:2022:i:1:p:734-:d:1021682. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.