文化大學機構典藏 CCUR:Item 987654321/24188
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    Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/24188


    Title: Linking typhoon tracks and spatial rainfall patterns for improving flood lead time predictions over a mesoscale mountainous watershed
    Authors: Huang, C (Huang, Jr-Chuan)
    Yu, CK (Yu, Cheng-Ku)
    Lee, JY (Lee, Jun-Yi)
    Cheng, LW (Cheng, Lin-Wen)
    Lee, TY (Lee, Tsung-Yu)
    Kao, SJ (Kao, Shuh-Ji)
    Contributors: Dept Atmospher Sci
    Keywords: RADAR OBSERVATIONS
    TROPICAL CYCLONES
    NEURAL-NETWORK
    TAIWAN
    MODEL
    PRECIPITATION
    HURRICANES
    RAINBANDS
    SYSTEM
    FOREST
    Date: 2012-09
    Issue Date: 2013-02-19 15:03:23 (UTC+8)
    Abstract: Typhoon rainfall characteristics over a mesoscale mountainous watershed (drainage area of 620 km(2)) located in eastern Taiwan were analyzed to fill the gaps in our knowledge concerning the linkage between typhoon track, rainfall patterns, and flood peak time. This study used spatially high-resolution radar-derived rainfall estimates from 38 storm events (similar to 2800 h) to investigate this linkage. The effect of spatial rainfall patterns on the timing of flood peak for the selected events was examined with the aid of a diffusive wave model. The results show that the typhoon rainfall was spatially aggregated and that the relative variations in the rainfall became smaller at higher rainfall rates. The maximum hourly rainfall was approximately twice the areal mean rainfall. Three major rainfall types were identified statistically, and different typhoon tracks appeared to have preferable rainfall types. This finding is presumably due to the interaction of the typhoon circulation and precipitation with the mountainous landscape. Flood lead times were derived for the different rainfall types, and it was found that differences in their lead times could be as large as similar to 3 h over the studied mesoscale watershed. It is recommended that this empirical approach be incorporated into flood forecasting and warning systems.
    Relation: WATER RESOURCES RESEARCH 卷: 48 文獻號碼: W09540
    Appears in Collections:[Department of Atmospheric Sciences & Graduate Institute of Earth Science / Atmospheric Science ] journal articles

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