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The vulnerability assessment of rain...

George Mason University.

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The vulnerability assessment of rainfall-induced debris flows in Taiwan.

Record Type:	Electronic resources : Monograph/item
Title/Author:	The vulnerability assessment of rainfall-induced debris flows in Taiwan./
Author:	Lu, George Yen-Hsu.
Description:	109 p.
Notes:	Adviser: David W. Wong.
Contained By:	Dissertation Abstracts International68-06B.
Subject:	Engineering, Civil. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3269587
ISBN:	9780549087878

The vulnerability assessment of rainfall-induced debris flows in Taiwan.
Lu, George Yen-Hsu.

The vulnerability assessment of rainfall-induced debris flows in Taiwan. - 109 p.

Adviser: David W. Wong.

Thesis (Ph.D.)--George Mason University, 2007.

Key Words. Debris flow, spatial interpolation, vulnerability assessment, satellite rainfall, neural network, GIS.

ISBN: 9780549087878Subjects--Topical Terms:

783781
Engineering, Civil.

The vulnerability assessment of rainfall-induced debris flows in Taiwan.
LDR:02556nmm 2200313 a 45 001 874453
005 20100825
008 100825s2007 eng d
020 $a 9780549087878
035 $a (UMI)AAI3269587
035 $a AAI3269587
040 $a UMI $c UMI
100 1 $a Lu, George Yen-Hsu. $3 1043730
245 1 4 $a The vulnerability assessment of rainfall-induced debris flows in Taiwan.
300 $a 109 p.
500 $a Adviser: David W. Wong.
500 $a Source: Dissertation Abstracts International, Volume: 68-06, Section: B, page: 3644.
502 $a Thesis (Ph.D.)--George Mason University, 2007.
520 $a Key Words. Debris flow, spatial interpolation, vulnerability assessment, satellite rainfall, neural network, GIS.
520 $a A debris flow vulnerability assessment which incorporates topographic and rainfall effects is developed. Rainfall at a scale compatible with the resolution of digital elevation model is obtained using a neural network estimation method with a wind induced topographic effect and rainfall derived from satellite rain estimates and an improved inverse distance weight method. The technique is tested using data collected during the passage of typhoon Tori-Ji on July 2001, which caused massive debris flows in central Taiwan. Numerous debris flows triggered by the typhoon were used as control for the study. The results show that the proposed wind-topography neural network (WTNN) technique outperforms other popular interpolation techniques, including inversed distance weight method (IDW), ordinary kriging (OK), co-kriging method, and multiple linear regression method.
520 $a Multiple fuzzy-logic-based debris flow susceptibility factors are used to characterize watersheds. Self-organizing maps (SOM) was adopted for the debris flow vulnerability assessment by incorporating estimated rainfall and debris flow susceptibility factors. The result examined by contingency table agrees to the assessment proposed by Soil and Water Conservation Bureau of Taiwan and National Science and Technology Center for Hazard Reduction of Taiwan. An index of vulnerability representing the degrees of hazard is implemented in a GIS-based decision support system which decision maker can use to manage debris flow environmental issues.
590 $a School code: 0883.
650 4 $a Engineering, Civil. $3 783781
650 4 $a Geophysics. $3 535228
650 4 $a Hydrology. $3 545716
690 $a 0373
690 $a 0388
690 $a 0543
710 2 0 $a George Mason University. $3 1019450
773 0 $t Dissertation Abstracts International $g 68-06B.
790 $a 0883
790 1 0 $a Wong, David W., $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3269587