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...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2019
|
Online Access: | http://ndltd.ncl.edu.tw/handle/rjcpa5 |
id |
ndltd-TW-107NCKU5083035 |
---|---|
record_format |
oai_dc |
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 |
work_keys_str_mv |
AT weien studyonfloodwarningindex AT zhāngwéiēn studyonfloodwarningindex AT weien jīyānshuǐyùjǐngzhǐbiāozhīyánjiū AT zhāngwéiēn jīyānshuǐyùjǐngzhǐbiāozhīyánjiū |
_version_ |
1719278993329356800 |