Peter Tian-Yuan Shih

Prof. Peter Tian-Yuan Shih

Department of Civil Engineering, National Chiao Tung University, Hsinchu, Taiwan
orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
18 February 2011 in Natural Hazards
Verified
Journal Article
Closed access
PDF file
CHChia-Sheng Hsieh
Chia-Sheng Hsieh
PSPeter Tian-Yuan Shih
Peter Tian-Yuan Shih
JHJry-Ching Hu
Jry-Ching Hu
HTHsin Tung
Hsin Tung
MHMong-Han Huang
Mong-Han Huang
JAJacques Angelier
Jacques Angelier

23 May 2013 in Remote Sensing
Verified
Journal Article
Open access
PDF file
JLJin-King Liu
Jin-King Liu
PSPeter Tian-Yuan Shih
Peter Tian-Yuan Shih
Rainfall intensity plays an important role in landslide prediction especially in mountain areas. However, the rainfall intensity of a location is usually interpolated from rainfall recorded at nearby gauges without considering any possible effects of topographic slopes. In order to obtain reliable rainfall intensity for disaster mitigation, this study proposes a rainfall-vector projection method for topographic-corrected rainfall. The topographic-corrected rainfall is derived from wind speed, terminal velocity of raindrops, and topographical factors from digital terrain model. In addition, scatter plot was used to present landslide distribution with two triggering factors and kernel density analysis is adopted to enhance the perception of the distribution. Numerical analysis is conducted for a historic event, typhoon Mindulle, which occurred in 2004, in a location in central Taiwan. The largest correction reaches 11%, which indicates that topographic correction is significant. The corrected rainfall distribution is then applied to the analysis of landslide triggering factors. The result with corrected rainfall distribution provides better agreement with the actual landslide occurrence than the result without correction.

6 November 2013 in Archaeological Prospection
Verified
Journal Article
Closed access
PDF file
PSPeter Tian-Yuan Shih
Peter Tian-Yuan Shih
YCYa‐Hsing Chen
Ya‐Hsing Chen
JCJie‐Chung Chen
Jie‐Chung Chen

Verified
Journal Article
Open access
PDF file
SDsutrisno dewayany
sutrisno dewayany
MDMulyanto Darmawan
Mulyanto Darmawan
ARAti Rahadiati
Ati Rahadiati
MHMuhammad Helmi
Muhammad Helmi
AYArmaiki Yusmur
Armaiki Yusmur
LZLi Zhang
Li Zhang
Ecosystem-based adaptation to climate change impacts, such as shoreline retreat, has been promoted at the international, national, and even local levels. However, among scientists, opinions about how to implement it in spatial-planning practices are varied. Science-based environmental factors, human wellbeing, and sustainable development can be strengthened by developing spatial-planning-based ecosystem adaptations (SPBEAs). Therefore, this article aims to assess how the SPBEA model can be developed within an area prone to shoreline retreat. A coastal area of the Sayung subdistrict in Central Java, Indonesia, was selected as a study area because it has experienced a massive shoreline retreat. A multicriteria analysis (MCA) method was employed for developing the model by using the geographic information system (GIS) technique of analysis, divided into three steps: the fishpond zone determination, which involved the analytical hierarchy process (AHP) method in the process of model development; the fishpond site determination; SPBEA fishpond site development. The results show that the SPBEA model is the best practice solution for combatting shoreline retreat because of tidal waves and/or sea-level rise. The spatial site management should empower the coastal protection zone and the sustainable fishpond zone by implementing a silvofishery approach.

1 October 2009
Verified
Book Chapter
Open access
PDF file
JLJin-King Liu
Jin-King Liu
KCKuan-Tsung Chang
Kuan-Tsung Chang
JRJiann-Yeou Rau
Jiann-Yeou Rau
WHWei-Cheng Hsu
Wei-Cheng Hsu
ZLZu-Yi Liao
Zu-Yi Liao
PSPeter Tian-Yuan Shih
Peter Tian-Yuan Shih
The Geomorphometry of Rainfall-Induced Landslides in Taiwan Obtained by Airborne Lidar and Digital Photography | InTechOpen, Published on: 2009-10-01. Authors: Jin-King Liu, Kuan-Tsung Chang, Jiann-Yeou Rau, et

1 January 2019 in Terrestrial, Atmospheric and Oceanic Sciences
Verified
Journal Article
Open access
PSPeter Tian-Yuan Shih
Peter Tian-Yuan Shih
HWHuijung Wang
Huijung Wang
KLKuo-Wei Li
Kuo-Wei Li
JLJyh-Jong Liao
Jyh-Jong Liao
YPYii-Wen Pan
Yii-Wen Pan
From InSAR analysis, headward erosion process is found in the Liugui study site Monitoring landslides in vegetated area solely with InSAR is not feasi...