Study on Flood Warning Index

碩士 === 國立成功大學 === 水利及海洋工程學系 === 107 === SUMMARY In addition to the amount of rainfall, the area flooding is also affected by the river water level. In order to meet the needs of disaster prevention, flood warning indicators that can simultaneously reflect river water level and rainfall are needed to...

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Main Authors: Wei-En, 張惟恩
Other Authors: Chjeng-Lun Shieh
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/rjcpa5
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spelling ndltd-TW-107NCKU50830352019-10-26T06:24:16Z http://ndltd.ncl.edu.tw/handle/rjcpa5 Study on Flood Warning Index 積淹水預警指標之研究 Wei-En 張惟恩 碩士 國立成功大學 水利及海洋工程學系 107 SUMMARY In addition to the amount of rainfall, the area flooding is also affected by the river water level. In order to meet the needs of disaster prevention, flood warning indicators that can simultaneously reflect river water level and rainfall are needed to warn flooding. First, this study uses Physiographic Inundation Model to reproduce the flooding process of three residential areas, and then based on the simulation results to analyze the causes of flooding. The analysis results show that the flooding depth is affected by the rainfall and river water level. Therefore, the maximum cumulative rainfall R_(t_c ) and the distance between the river water elevation and the elevation of the embankment ΔH are divided to establish a dimensionless flooding warning index i. Finally, the warning threshold is set by the analysis of the flooding early warning indicators and verified by historical events. According to the verification results, the flood warning indicator i can effectively predict the occurrence of flooding. Key words: Flooding Chjeng-Lun Shieh 謝正倫 2019 學位論文 ; thesis 95 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立成功大學 === 水利及海洋工程學系 === 107 === SUMMARY In addition to the amount of rainfall, the area flooding is also affected by the river water level. In order to meet the needs of disaster prevention, flood warning indicators that can simultaneously reflect river water level and rainfall are needed to warn flooding. First, this study uses Physiographic Inundation Model to reproduce the flooding process of three residential areas, and then based on the simulation results to analyze the causes of flooding. The analysis results show that the flooding depth is affected by the rainfall and river water level. Therefore, the maximum cumulative rainfall R_(t_c ) and the distance between the river water elevation and the elevation of the embankment ΔH are divided to establish a dimensionless flooding warning index i. Finally, the warning threshold is set by the analysis of the flooding early warning indicators and verified by historical events. According to the verification results, the flood warning indicator i can effectively predict the occurrence of flooding. Key words: Flooding
author2 Chjeng-Lun Shieh
author_facet Chjeng-Lun Shieh
Wei-En
張惟恩
author Wei-En
張惟恩
spellingShingle Wei-En
張惟恩
Study on Flood Warning Index
author_sort Wei-En
title Study on Flood Warning Index
title_short Study on Flood Warning Index
title_full Study on Flood Warning Index
title_fullStr Study on Flood Warning Index
title_full_unstemmed Study on Flood Warning Index
title_sort study on flood warning index
publishDate 2019
url http://ndltd.ncl.edu.tw/handle/rjcpa5
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