Index Weight Determination for Road Tunnel Fire Risk Assessment Based on Fuzzy Analytic Hierarchy Process

Forest fires in the mid hills of Himachal Pradesh are mostly related to human activities. More than 90% of fires are originated from either deliberate or involuntary causes. The purpose of study is linked to identification of forest fire risk factors in 19 villages under Nauni and Oachhghat Panchayats. The methodology paradigm applied here is based on knowledge and fuzzy analytic hierarchy process (FAHP) techniques. Knowledge-based criteria involve socio-economic and biophysical themes for risk assessment. The risk factors are identified according to past occurrence of fire. Fuel type scores highest weight (0.3109) followed by aspect (0.2487), agricultural workers (0.1865), nutritional density (0.1244), population density (0.0622), elevation (0.0311), literacy rate (0.0207) and distance from road (0.0155) in descending order. In the study area applying FAHP, 24.96% of total area was classified under high-risk prone area, 21.69% area classified under high-risk, 34.63% area under moderate risk, while 18.61% area under low risk. The results were in accordance with actual fire occurrences in the past years.

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Construction of Rural Fire Risk Assessment System Based on Analytic Hierarchy Process: A Case Study of Tuyang Village in Shenzhen

ICCREM 2017 ◽

10.1061/9780784481059.037 ◽

2017 ◽

Author(s):

Hongmeng Kang ◽

Fengyong Zhai ◽

Wei Gao

Keyword(s):

Risk Assessment ◽

Analytic Hierarchy Process ◽

Fire Risk ◽

Assessment System ◽

Analytic Hierarchy ◽

Fire Risk Assessment ◽

Hierarchy Process

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Risk Assessment and Regionalization of Fire Disaster Based on Analytic Hierarchy Process and MODIS Data: A Case Study of Inner Mongolia, China

Sustainability ◽

10.3390/su11226263 ◽

2019 ◽

Vol 11 (22) ◽

pp. 6263 ◽

Cited By ~ 2

Author(s):

Xu Jia ◽

Yong Gao ◽

Baocheng Wei ◽

Shan Wang ◽

Guodong Tang ◽

...

Keyword(s):

Risk Assessment ◽

Analytic Hierarchy Process ◽

Inner Mongolia ◽

Fire Risk ◽

Assessment System ◽

Spatial And Temporal Variability ◽

Analytic Hierarchy ◽

Environmental Controls ◽

Fire Risk Assessment ◽

Hierarchy Process

Inner Mongolia, as a fragile ecological zone in northern China, is prone to severe fires due to natural forces and intensive human disturbances. The development of a fire risk assessment system at the finer spatial scale is not sufficient in this region. In this study, we obtained the data of burned areas and fire hotspots numbers for Inner Mongolia from the Terra/Aqua Moderate-resolution Imaging Spectroradiometer data (MCD45A1 and MOD14A1/MYD14A1, 2002~2016). These fire maps were used to determine the fire spatial and temporal variability, as well as the interactions with environmental controls (climatic, vegetation, topography, and anthropic characteristics) derived in geographic information system (GIS) layers. Based on this, the fire-causing variables were selected as the dependent variables for model building, whereas data on burned area and number of fire hotspots were used for model validation. The fire risk assessment map was then generated in a 500 × 500 m grid cell using an analytic hierarchy process approach and a GIS technique. This work could be easily used for the ultimate aim of supporting fire management.

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