Risk Analysis of Rice Losses Caused by Typhoon for Taiwan

Lai, Li-Hua; Wu, Pei-Hsuan

doi:10.7903/cmr.1158

Cited by 6 publications

(4 citation statements)

References 25 publications

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“…On average, 3.3 typhoons hit Taiwan each year causing damages exceeding 520 million U.S. dollars (USD) with extreme heavy rainfalls and strong winds (Lai and Wu 2010). Obtaining accurate QPEs for flood monitoring and prediction, landslide forecasts, and water resource management during typhoon events is the most important mission of the Central Weather Bureau (CWB) of Taiwan.…”

Section: Introductionmentioning

confidence: 99%

C-Band Polarimetric Radar QPE Based on Specific Differential Propagation Phase for Extreme Typhoon Rainfall

Wang

Zhang

Ryzhkov

et al. 2013

Journal of Atmospheric and Oceanic Technology

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To obtain accurate radar quantitative precipitation estimation (QPE) for extreme rainfall events such as land-falling typhoon systems in complex terrain, a new method was developed for C-band polarimetric radars. The new methodology includes a correction method based on vertical profiles of the specific differential propagation phase (VPSDP) for low-level blockage and an optimal relation between rainfall rate (R) and the specific differential phase (K DP ). In the VPSDP-based correction approach, a screening process is applied to K DP fields, where missing or unreliable K DP data from lower tilts caused by severe beam blockage are replaced with K DP data from upper and unblocked tilts. The K DP data from upper tilts are adjusted to account for variations in the vertical profile of K DP . The corrected K DP field is then used for rain-rate estimations. To acquire an accurate QPE result, a new R(K DP ) relation for C-band polarimetric radars was derived through simulations using drop size distribution (DSD) and drop shape relation (DSR) observations from typhoon systems in Taiwan. The VPSDP-based correction method with the new R(K DP ) relation was evaluated using the typhoon cases of Morakot (2009) and Fanapi (2010).

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Section: Introductionmentioning

confidence: 99%

C-Band Polarimetric Radar QPE Based on Specific Differential Propagation Phase for Extreme Typhoon Rainfall

Wang

Zhang

Ryzhkov

et al. 2013

Journal of Atmospheric and Oceanic Technology

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“…Strong winds bend the rice culm and rainstorms flood farmland, causing rice grains and roots to rot after long-term soaking and seriously affecting rice production [ 6 ]. Rice losses caused by typhoons in Japan [ 7 , 8 ] and Taiwan [ 9 ] have been reported.…”

Section: Introductionmentioning

confidence: 99%

Identification of a Major Locus for Lodging Resistance to Typhoons Using QTL Analysis in Rice

Zhao

Jang

Kim

et al. 2023

Plants

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We detected a new target quantitative trait locus (QTL) for lodging resistance in rice by analyzing lodging resistance to typhoons (Maysak and Haishen) using a scale from 0 (no prostrating) to 1 (little prostrating or prostrating) to record the resistance score in a Cheongcheong/Nagdong double haploid rice population. Five quantitative trait loci for lodging resistance to typhoons were detected. Among them, qTyM6 and qTyH6 exhibited crucial effects of locus RM3343–RM20318 on chromosome 6, which overlaps with our previous rice lodging studies for the loci qPSLSA6-2, qPSLSB6-5, and qLTI6-2. Within the target locus RM3343–RM20318, 12 related genes belonging to the cytochrome P450 protein family were screened through annotation. Os06g0599200 (OsTyM/Hq6) was selected for further analysis. We observed that the culm and panicle lengths were positively correlated with lodging resistance to typhoons. However, the yield was negatively correlated with lodging resistance to typhoons. The findings of this study improve an understanding of rice breeding, particularly the culm length, early maturing, and heavy panicle varieties, and the mechanisms by which the plant’s architecture can resist natural disasters such as typhoons to ensure food safety. These results also provide the insight that lodging resistance in rice may be associated with major traits such as panicle length, culm length, tiller number, and heading date, and thereby improvements in these traits can increase lodging resistance to typhoons. Moreover, rice breeding should focus on maintaining suitable varieties that can withstand the adverse effects of climate change in the future and provide better food security.

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“…Some studies focused on disaster-loss assessment and quantitative risk management to determine the effects of typhoons on paddy and other crops, applying a fuzzy comprehensive evaluation method, fuzzy intelligent decision support system, and extreme value theory to assess losses and management from Denotes content that is immediately available upon publication as open access. different natural hazards (Chen et al 2011;Lai and Wu 2010;Wang et al 2015;Zhou and Chan 2016). In terms of losses from flood damage, previous studies applied different flood models, including distributed hydrologic models and distributed flood loss-estimation models, to simulate hazards, for example, flood elevation or area (Dutta et al 2003;Messner and Meyer 2006;Scawthorn et al 2006).…”

Section: Introductionmentioning

confidence: 99%

Typhoon Type Index: A New Index for Understanding the Rain or Wind Characteristics of Typhoons and Its Application to Agricultural Losses and Crop Vulnerability

Lin

Wang

Lai

et al. 2020

Journal of Applied Meteorology and Climatology

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Heavy rainfall and strong wind are the two main sources of disasters that are caused by tropical cyclones (TCs), and typhoons with different characteristics may induce different agricultural losses. Traditionally, the classification of typhoon intensity has not considered the amount of rainfall. Here, we propose a novel approach to calculate the typhoon type index (TTI). A positive TTI represents a “wind type” typhoon, where the overall damage in a certain area from TCs is dominated by strong wind. On the other hand, a negative TTI represents a “rain type” typhoon, where the overall damage in a certain area from TCs is dominated by heavy rainfall. From the TTI, the vulnerability of crop losses from different types of typhoons can be compared and explored. For example, Typhoon Kalmaegi (2008) was classified as a rain-type typhoon (TTI = −1.22). The most affected crops were oriental melons and leafy vegetables. On the contrary, Typhoon Soudelor (2015) was classified as a significant wind-type typhoon in most of Taiwan (TTI = 1.83), and the damaged crops were mainly bananas, bamboo shoots, pomelos, and other crops that are easily blown off by strong winds. Through the method that is proposed in this study, we can understand the characteristics of each typhoon that deviate from the general situation and explore the damages that are mainly caused by strong winds or heavy rainfall at different locations. This approach can provide very useful information that is important for the disaster analysis of different agricultural products.

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Risk Analysis of Rice Losses Caused by Typhoon for Taiwan

Cited by 6 publications

References 25 publications

C-Band Polarimetric Radar QPE Based on Specific Differential Propagation Phase for Extreme Typhoon Rainfall

C-Band Polarimetric Radar QPE Based on Specific Differential Propagation Phase for Extreme Typhoon Rainfall

Identification of a Major Locus for Lodging Resistance to Typhoons Using QTL Analysis in Rice

Typhoon Type Index: A New Index for Understanding the Rain or Wind Characteristics of Typhoons and Its Application to Agricultural Losses and Crop Vulnerability

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