2023-08-07
【學術亮點】臺灣暴雨造成水稻災害的風險評估
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Intelligent Detection: Development of expert diagnosis system for crop cultivation and management【Department of Agronomy / Bo-Jein Kuo / Professor】
智慧檢測：作物栽培管理專家診斷系統開發【農藝系郭寶錚教授】
智慧檢測：作物栽培管理專家診斷系統開發【農藝系郭寶錚教授】
| 論文篇名 | 英文：Risk Assessment of Rice Damage Due to Heavy Rain in Taiwan 中文：臺灣暴雨造成水稻災害的風險評估 |
| 期刊名稱 | Agriculture |
| 發表年份, 卷數, 起迄頁數 | 2023, 13(3), 630 |
| 作者 | Su, Yuan-Chih; Kuo, Bo-Jein(郭寶錚)* |
| DOI | 10.3390/agriculture13030630 |
| 中文摘要 | 本研究利用天氣和水稻災害數據，評估臺灣暴雨造成水稻災害事件的風險，分為非颱風引起的暴雨(NTCHR)和颱風引起的暴雨(TCHR)，選擇暴雨災害的時間、空間、和天氣特徵做為水稻暴雨災害風險因素，並利用回歸模型評估所選因素對暴雨災害事件的發生和嚴重程度的影響。研究證實，臺灣水稻暴雨災害事件的風險受到時間、空間和天氣影響。 |
| 英文摘要 | 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. |
| 發表成果與AI計畫研究主題相關性 | 應用於作物專家診斷系統之建立上，綜合土壤、作物徵狀與氣象等面向，以進行作物栽培管理之診斷 |
