Delineation of Optimal Subdivisions for Watershed Sediment Disaster Management Using Environmental Variables

碩士 === 國立中興大學 === 水土保持學系所 === 106 === Taiwan is an island located at the junction of the tectonic plate. There is a large amount of sediment yield in the watersheds due to fragile geological property, and the watershed also suffers extreme climate impacts in recent year which results in increases of...

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Main Authors: Yu-Ching Chien, 錢郁晴
Other Authors: 林昭遠
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/73xgjm
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spelling ndltd-TW-106NCHU50800142019-08-15T03:37:46Z http://ndltd.ncl.edu.tw/handle/73xgjm Delineation of Optimal Subdivisions for Watershed Sediment Disaster Management Using Environmental Variables 以環境變數劃分集水區土砂災害區位最適管理分區 Yu-Ching Chien 錢郁晴 碩士 國立中興大學 水土保持學系所 106 Taiwan is an island located at the junction of the tectonic plate. There is a large amount of sediment yield in the watersheds due to fragile geological property, and the watershed also suffers extreme climate impacts in recent year which results in increases of extreme rainfall events. Typhoons usually cause massive sediment disasters in Taiwan. Chenyoulan Creek is the longest tributary of Taiwan''s longest river. The distribution of its riverbed and fault zone is close to coincidence, and it shows that the geology along the riverbed is fragmented. Because of the gentle gradient of the riparian areas in Chenyoulan watershed, the agricultural development behavior and human activities along the river bank are frequent. The sediment disasters caused by extreme rainfall event are threating the protected object in the watershed. To avoid repeated occurrence of the disasters, the watershed should be managed effectively. Prediction of a watershed disaster rate should be made according to the topography, landform or characteristics of the watershed prior to debris disaster occurrence and delineate the management subdivisions in advance. In addition, added the extreme rainfall indicator can predict the corresponding disaster rating of each subdivision within the watershed if encountering the extreme event in future. As a management basis, it is possible to strengthen management or increase preventive measures for those with high disaster rates, and to concentrate resources on subdivisions that do need to be managed. The most notorious sediment disaster in the Chenyoulan watershed is Typhoon Herb event in 1996. In this study, a hotspot scanning system was applied to select the interested watershed, and an automatic watershed division system (WinGrid) was used to delineate the subdivisions of the watershed. The optimal subdivisions were determined from the curve of the accuracy-subdivision number. The results show that the optimal number of subdivisions of Chenyoulan watershed is 23, and the accuracy could up to 87.0%. The methods developed in this study can be as references of the related authorities. 林昭遠 2018 學位論文 ; thesis 52 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立中興大學 === 水土保持學系所 === 106 === Taiwan is an island located at the junction of the tectonic plate. There is a large amount of sediment yield in the watersheds due to fragile geological property, and the watershed also suffers extreme climate impacts in recent year which results in increases of extreme rainfall events. Typhoons usually cause massive sediment disasters in Taiwan. Chenyoulan Creek is the longest tributary of Taiwan''s longest river. The distribution of its riverbed and fault zone is close to coincidence, and it shows that the geology along the riverbed is fragmented. Because of the gentle gradient of the riparian areas in Chenyoulan watershed, the agricultural development behavior and human activities along the river bank are frequent. The sediment disasters caused by extreme rainfall event are threating the protected object in the watershed. To avoid repeated occurrence of the disasters, the watershed should be managed effectively. Prediction of a watershed disaster rate should be made according to the topography, landform or characteristics of the watershed prior to debris disaster occurrence and delineate the management subdivisions in advance. In addition, added the extreme rainfall indicator can predict the corresponding disaster rating of each subdivision within the watershed if encountering the extreme event in future. As a management basis, it is possible to strengthen management or increase preventive measures for those with high disaster rates, and to concentrate resources on subdivisions that do need to be managed. The most notorious sediment disaster in the Chenyoulan watershed is Typhoon Herb event in 1996. In this study, a hotspot scanning system was applied to select the interested watershed, and an automatic watershed division system (WinGrid) was used to delineate the subdivisions of the watershed. The optimal subdivisions were determined from the curve of the accuracy-subdivision number. The results show that the optimal number of subdivisions of Chenyoulan watershed is 23, and the accuracy could up to 87.0%. The methods developed in this study can be as references of the related authorities.
author2 林昭遠
author_facet 林昭遠
Yu-Ching Chien
錢郁晴
author Yu-Ching Chien
錢郁晴
spellingShingle Yu-Ching Chien
錢郁晴
Delineation of Optimal Subdivisions for Watershed Sediment Disaster Management Using Environmental Variables
author_sort Yu-Ching Chien
title Delineation of Optimal Subdivisions for Watershed Sediment Disaster Management Using Environmental Variables
title_short Delineation of Optimal Subdivisions for Watershed Sediment Disaster Management Using Environmental Variables
title_full Delineation of Optimal Subdivisions for Watershed Sediment Disaster Management Using Environmental Variables
title_fullStr Delineation of Optimal Subdivisions for Watershed Sediment Disaster Management Using Environmental Variables
title_full_unstemmed Delineation of Optimal Subdivisions for Watershed Sediment Disaster Management Using Environmental Variables
title_sort delineation of optimal subdivisions for watershed sediment disaster management using environmental variables
publishDate 2018
url http://ndltd.ncl.edu.tw/handle/73xgjm
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