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Vol.44, No.4, PP.271-362
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1
Improvement of LiDAR Data Accuracy Using 12 Parameter Affine Transformation
44(4):293-301
Chien-Ting Wu[1]* Cheng-Yang Hsiao[2] Chun-Sung Chen[3]
* Corresponding Author. E-mail : Kenwu@uch.edu.tw
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2
The Influence of Macro-Sediment from Mountainous Areas on the River Morphology in the Heshe River
44(4):302-310
Su-Chin Chen[1] Pei-Yu Shin[1] Chun-Hung Wu[2]* Yi-Chiung Chao[1]
* Corresponding Author. E-mail : chhuwu@fcu.edu.tw
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3
Sediment Influence Associated with Extreme Events on the Channel Pattern in the Chenyoulan River
44(4):311-323
Su-Chin Chen[1] Pei-Yu Shin[1] Chun-Hung Wu[2]*
* Corresponding Author. E-mail : chhuwu@fcu.edu.tw
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4
A Study of Using Cluster Analysis to Improve Parameters Prediction of van Genuchten Model
44(4):324-334
Li-Ling Lin[1] Wei-Chu Chen[1]* Ke-Wei Lin[2] Shun-Ping Tsao[2]
* Corresponding Author. E-mail : willy19881212@hotmail.com
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5
Effects of Climate Change on the Potential of the Landslides in the Basin of Kaoping Stream
44(4):335-350
Jen-Chen Fan Chih-Hsiang Yang Shih-Chun Chang* Hsiao-Yu Huang Jia-Jun Guo
* Corresponding Author. E-mail : d95622009@ntu.edu.tw
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Effects of Climate Change on the Potential of the Landslides in the Basin of Kaoping Stream
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Jen-Chen Fan Chih-Hsiang Yang Shih-Chun Chang* Hsiao-Yu Huang Jia-Jun Guo

Abstract
To investigate the effects of climate change on the potential of the landslides in the basin of Kaoping stream, in this study, physiographic factors are collected and tested; rainfall parameters are selected; logistic regression method is used to establish the model for evaluating the potential of landslides; and 3 GCMs models and 3 future scenarios are used for analysis. Results show
that 5 physiographic factors and 1 rainfall parameters are most highly correlated with the potential of landslides. They are the slope steepness, the area ratio of dip slope, the distance to fault, the road ratio and the rainfall amount of consecutive 2 days. The accuracy of the model established in this study reaches 80%. The impact for the future of the simulated results for the short term period (2010~2039)using the INCM3 model is found the greatest and the B1 scenario is found most in accordance with the real conditions. Using the developed model in this study to evaluate the potential of the landslide for the short term period, it is found the area of the highest potential of landslides increase 98%, compared with the potential of landslide in the baseline period (1961~1990).
Key Words : Climate change, landslide, potential of occurrence, physiographic factor, logistic regression
Department of Bioenvironmental Systems Engineering, National Taiwan University, Taiwan.
* Corresponding Author. E-mail : d95622009@ntu.edu.tw
Received: 2013/07/01
Revised: 2013/08/06
Accepted: 2013/08/23
6
A Computational Model of Sediment Control for Soil and Water Conservation Engineering
44(4):351-362
Hui-Pain Lien I-Ta Tsai *
* Corresponding Author. E-mail : ittsai@fcu.edu.tw
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7
Channel Evolution Conceptual Model Associated with Dam Removal at Chijiawan Creek
44(4):271-281
Hsiao-Wen Wang* Wei-Cheng Kuo Chia-Hao Chang
* Corresponding Author. E-mail : whw82@mail.ncku.edu.tw
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8
Estimation on Behavior of Slopeland Disaster and Sediment Distribution and Variation using Digital Aerial Photogrammetry
44(4):282-292
Yu-Shu Lin* Hsueh-Cheng Ho Miau- Bin Su
* Corresponding Author. E-mail : yushu0523@gmail.com
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