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Risk Assessment of Rice Damage Due to Heavy Rain in Taiwan

Author

Listed:
  • Yuan-Chih Su

    (Department of Agronomy, National Chung Hsing University, Taichung 40227, Taiwan)

  • Bo-Jein Kuo

    (Department of Agronomy, National Chung Hsing University, Taichung 40227, Taiwan
    Smart Sustainable New Agriculture Research Center (SMARTer), Taichung 40227, Taiwan)

Abstract

Rice ( Oryza sativa L.) is a crucial staple crop globally but is damaged under extreme precipitation. Risk assessment for heavy rain (HR) damage events is essential for developing strategies for adapting to climate change. In this study, weather and rice damage data were used to assess the risk of HR damage events in Taiwan. These events were classified into nontyphoon-caused HR (NTCHR) and typhoon-caused HR (TCHR) events. The temporal, spatial, and weather characteristics of HR damage events were selected as risk factors for rice HR damage. Logistic regression was used to evaluate the effects of the selected risk factors on the occurrence and severity of HR damage events. The odds of an NTCHR damage event were 4.33 and 4.17 times higher in the reproductive and ripening stages, respectively, than during the vegetative stage. Moreover, each 1 mm increase in the maximum daily precipitation increased the odds of an NTCHR and TCHR damage event by 2% and 3%, respectively. In this study, the documentary data of damage events present a potential for assessment of weather damage event risk. Moreover, the risk of rice HR damage events in Taiwan is affected by not only weather but also temporal and spatial factors.

Suggested Citation

  • Yuan-Chih Su & Bo-Jein Kuo, 2023. "Risk Assessment of Rice Damage Due to Heavy Rain in Taiwan," Agriculture, MDPI, vol. 13(3), pages 1-19, March.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:3:p:630-:d:1089423
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    References listed on IDEAS

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    4. Subash, N. & Singh, S.S. & Priya, Neha, 2011. "Extreme rainfall indices and its impact on rice productivity--A case study over sub-humid climatic environment," Agricultural Water Management, Elsevier, vol. 98(9), pages 1373-1387, July.
    5. Sohail Abbas & Zulfiqar Ali Mayo, 2021. "Impact of temperature and rainfall on rice production in Punjab, Pakistan," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 1706-1728, February.
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    Cited by:

    1. Shih-Lun Fang & Yi-Shan Lin & Sheng-Chih Chang & Yi-Lung Chang & Bing-Yun Tsai & Bo-Jein Kuo, 2024. "Using Artificial Intelligence Algorithms to Estimate and Short-Term Forecast the Daily Reference Evapotranspiration with Limited Meteorological Variables," Agriculture, MDPI, vol. 14(4), pages 1-20, March.

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