238 | INTERPRAEVENT 2016 – Extended Abstracts IP_2016_EA361
INTRODUCTION
Whenever there are typhoons or extremely heavy rain, the sediment in upstream watershed and large rainfall not being drained often result in flood or debris flow and further endanger the public life and property safety. Field investigation in disaster-prone areas and importance analysis of disaster factors could be applied to evaluate the disaster risk degree. Such results could be the reference for successive disaster prevention businesses. Taking 7 potential debris flow areas in Changhua County of Taiwan for the research objects, linear combination is utilized for evaluating the disaster risk degree in disaster-prone areas. Moreover, Analytic Hierarchy Process (AHP) is applied to design the expert questionnaire when determining the factor weight and pair wise comparison is used for calculating the eigenvector as the weights of criteria. The calcu- lated weights are further used for the risk degree evaluation.
METHODS AND RESULTS
In this study, 12 experts are proceeded the expert questionnaire. Three most important factors are acquired with AHP (Table 1), including Potential Geological Disaster, Potential Debris Flow, and Landslide Disaster etc. The relative importance of other factors contains A-1 Slope, weighted 14.99%, A-2 Potential Debris Flow, weighted 13.80%, A-3 Potential Geological Disaster, weighted 16.32%, A-4 Disaster History, weighted 12.80%, A-5 Land- slide Disaster Sign, weighted 20.32%, and A-6 Protected Targets, weighted 21.77%. The weights of the evaluated items as well as the simulation and field investigation results are used for the GIS overlay mapping in order to receive the risk degree evaluation result.
Meanwhile, FLO-2D model is applied to the nu- merical simulation. The triangular unit hydrograph is utilized for calculating the runoff hydrograph as the inflow conditions when simulating debris flow, and the sediment volume concentration of debris flow and the empirical formula are used for esti- mating the rheological parameter of debris flow.
Matching the simulation results and the field investigation results, the factor weights in the Analytic Hierarchy Process (AHP) expert question- naire are used for GIS overlay mapping to establish the risk degree evaluation.
CONCLUSIONS
The risk degrees of potential debris flows in Chang- hua County can be obtained from the linear combi- nation with AHP based on the field investigation and situation simulation (Table 2). In Table 2, higher total score indicated higher risk degree through more aspects of affected factors. These results may be useful for local government to consider the priority of treatment measures or evacuation plans.
Applying linear combination to evaluate risk degree of potential debris flow—a case study on Changhua County, Taiwan
Szu-Hsien Peng1; Chung-Chieh Tien2; Yu-Shen Hsiao2
HAZARD AND RISK ASSESSMENT (ANALYSIS, EVALUATION)
INTERPRAEVENT 2016 – Extended Abstracts | 239 Table 1: Relative importance of factors
KEYWORDS
Analytic Hierarchy Process (AHP); FLO-2D model; potential debris flow; risk degree assessment
1 Chienkuo Technology University, Changhua City, TAIWAN, shpeng@cc.ctu.edu.tw
2 Department of Soil and Water Conservation, National Chung-Hsing University, TAIWAN, R.O.C.
Table 2 Assessment results of 7 potential debris flows
Debris Flow No.
Score
Total Priority A-1 Slope
A-2 Potential Debris Flow
A-3 Potential Geological Disaster
A-4 Disaster History
A-5 Landslide Disaster Sign
A-6 Protected Targets
DF001 0.5 0.5 0.5 1 1 0.5 66.57 6
DF002 0.5 1 0.25 1 1 1 80.28 3
DF003 0.667 0.5 0.5 1 1 1 79.95 4
DF004 0.667 1 0.25 1 1 0.75 77.33 5
DF005 0.833 1 0.75 1 1 0.75 87.99 2
DF006 0.5 1 1 1 1 1 92.52 1
DF007 0.667 0 0 1 1 0.5 54.00 7
Table 2: Assessment results of 7 potential debris flows
Table 1 Relative importance of factors
A-1 Slope A-2 Potential Debris Flow
A-3 Potential Geological Disaster
A-4 Disaster History
A-5 Landslide Disaster Sign
A-6 Protected Targets
Wight
A-1 Slope 1 0.9441 0.7248 1.5849 0.5493 1.0592 0.1499 A-2
Potential Debris Flow
1.0592 1 0.6843 0.5373 1.1487 0.7248 0.1380
A-3 Potential Geological Disaster
1.3797 1.4614 1 1.7826 0.5186 0.5610 0.1632
A-4 Disaster History
0.6310 1.8612 0.5610 1 0.6310 0.4884 0.1280
A-5 Landslide Disaster Sign
1.8206 0.8706 1.9284 1.5849 1 0.7579 0.2032
A-6 Protected Targets
0.9441 1.3797 1.7826 2.0477 1.3195 1 0.2178