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Frontiers of Earth Science

ISSN 2095-0195

ISSN 2095-0209(Online)

CN 11-5982/P

Postal Subscription Code 80-963

2018 Impact Factor: 1.205

Front. Earth Sci.    2020, Vol. 14 Issue (2) : 326-343    https://doi.org/10.1007/s11707-019-0775-7
RESEARCH ARTICLE
A spatial model for the assessment of debris flow susceptibility along the Kodaikkanal-Palani traffic corridor
Evangelin Ramani SUJATHA()
Centre for Advanced Research on Environment, School of Civil Engineering, SASTRA Deemed University, Thanjavur 613401, India
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Abstract

Debris flow is one of the most destructive water related mass movements that affects the development of mountain terrains. A reliable assessment of debris flow susceptibility requires adequate data, but in most developing countries like India, there is a dearth of such extensive scientific records. This study presents a novel approach for assessing debris flow using the analytical network process (ANP) in data insufficient regions. A stretch of hill road between Kumburvayal and Vadakaunchi along the Kodaikkanal-Palani Traffic Corridor (M171) was considered for this study. Five significant factors including the nature of slope forming materials, hydraulic conductivity, slope, vegetation, and drainage density were identified from intense field surveys and inspections in order to assess the susceptibility of the terrain to debris flow. This model endorsed the interdependencies between the selected factors. The resulting debris flow susceptibility map delineated regions highly prone to debris flow occurrences, which constituted nearly 23% of the selected road stretch.

Keywords analytical network process (ANP)      debris flow      hydraulic conductivity      GIS      Kodaikkanal      infinite slope stability model      steady state hydrologic model     
Online First Date: 15 January 2020    Issue Date: 21 July 2020
 Cite this article:   
Evangelin Ramani SUJATHA. A spatial model for the assessment of debris flow susceptibility along the Kodaikkanal-Palani traffic corridor[J]. Front. Earth Sci., 2020, 14(2): 326-343.
 URL:  
https://academic.hep.com.cn/fesci/EN/10.1007/s11707-019-0775-7
https://academic.hep.com.cn/fesci/EN/Y2020/V14/I2/326
Fig.1  Location map of the selected road stretch between Kodaikkanal and Palani (M171).
Fig.2  Partial view of debris flow on a private plantation along the selected road stretch in 2014.
Fig.3  Spatial variation of the availability of material to mobilize debris flow.
Fig.4  Spatial distribution of overburden hydraulic conductivity.
Fig.5  Spatial variation of slope along the selected stretch.
Fig.6  Land use and land cover distribution.
Fig.7  Spatial variation of drainage density.
Fig.8  Debris flow susceptibility decision frame in the ANP.
Fig.9  A pairwise comparison matrix for the cluster criteria.
Alternatives Priorities/
weights
Alternatives Priorities/
weights
Shallow thickness of overburden (R11) 0.05580 Barren land/open scrub (R41) 0.08162
Moderate thickness of overburden (R12) 0.17715 Plantation and cropland (R42) 0.02295
Thick overburden (R13) 0.14061 Forests (R43) 0.00645
Low hydraulic conductivity (R21) 0.21082 High drainage density (R51) 0.00235
Moderate hydraulic conductivity (R22) 0.05502 Moderate drainage density (R52) 0.02973
High hydraulic conductivity (R23) 0.01795 Low drainage density (R53) 0.05502
Gentle slope (R31) 0.01209
Moderate slope (R33) 0.14203
Steep slope (R32) 0.03707
Tab.1  Weights of alternatives for modeling debris flow susceptibility
Factors Weights / priorities Factors Weights / priorities
Nature of slope forming material (R1) 0.37356 Vegetation (R4) 0.11103
Hydraulic conductivity (R2) 0.28379 Drainage Density (R5) 0.04044
Slope (R3) 0.19119
Tab.2  Priorities of the nodes in the criteria cluster (factors causing debris flow)
Fig.10  Debris flow susceptibility map of the selected road stretch using an ANP model.
Factor Unit Barren/open scrub Plantation/cropland Forest
Root Cohesion (cr) kN/m2 0 0 12
Total Rainfall (Q) m/s 9.92E-07 9.91E-07 9.9E-07
Evaporation (Ev) m/s 6.94E-08 3.47E-08 0
Rainfall Interception (Ri) % 0 11 30
Net Rainfall m/s 9.22E-07 8.48E-07 6.9E-07
Tab.3  Input parameters for the infinite slope stability model based on land use
Fig.11  Factor of safety map based on a deterministic infinite slope stability model combined with a steady-state hydrologic model.
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