A Comparison of an Adaptive Neuro-Fuzzy and Frequency Ratio Model to Landslide-Susceptibility Mapping along Forest Road Networks
Authors:Zare, Nastaran Hosseini, Seyed Ata Ollah Hafizi, Mohammad Kazem Najafi, Akbar Majnounian, Baris Geertsema, Marten
Volume:12
Published:2021
Document Type:Article
Abstract:In this research, we used the integration of frequency ratio and adaptive neuro-fuzzy modeling (ANFIS) to predict landslide susceptibility along forest road networks in the Hyrcanian Forest, northern Iran. We began our study by first mapping landslide locations during an extensive field survey. In addition, we then selected landslide-conditioning factors, such as slope, aspect, altitude, rainfall, geology, soil, road age, and slip position from the available Geographic Information System (GIS) data. Following this, we developed Adaptive Neuro-Fuzzy Inference System (ANFIS) models with two different membership functions (MFs) in order to generate landslide susceptibility maps. We applied a frequency ratio model to the landslide susceptibility mapping and compared the results with the probabilistic ANFIS model. Finally, we calculated map accuracy by evaluating receiver-operating characteristics (ROC). The validation results yielded 70.7% accuracy using the triangular MF model, 67.8% accuracy using the Gaussian MF model, and 68.8% accuracy using the frequency ratio model. Our results indicated that the ANFIS is an effective tool for regional landslide susceptibility assessment, and the maps produced in the study area can be used for natural hazard management in the landslide-prone area of the Hyrcanian region.
Author Information
Corresponding Author:Zare, N (通讯作者)，Univ Tehran, Forest Engn, Dept Forestry & Forest Econ, Coll Agr & Nat Resources, Daneshkadeh Ave, Karaj 7787131587, Iran.
Reprint Address:Zare, N (通讯作者)，Univ Tehran, Forest Engn, Dept Forestry & Forest Econ, Coll Agr & Nat Resources, Daneshkadeh Ave, Karaj 7787131587, Iran.
Addresses:[Zare, Nastaran; Hosseini, Seyed Ata Ollah; Majnounian, Baris] Univ Tehran, Forest Engn, Dept Forestry & Forest Econ, Coll Agr & Nat Resources, Daneshkadeh Ave, Karaj 7787131587, Iran; [Hafizi, Mohammad Kazem] Univ Tehran, Inst Geophys, Dept Earth Phys, North Kargar St, Tehran 141556466, Iran; [Najafi, Akbar] Tarbiat Modares Univ, Fac Nat Resources & Marine Sci, Dept Forest Sci & Technol, Noor 46414356, Iran; [Geertsema, Marten] Minist Forests & Range, 1011 4th Ave, Prince George, BC V2L 3H9, Canada
E-mail Addresses:n_zare1365@ut.ac.ir; at.hosseini@ut.ac.ir; hafizi@ut.ac.ir; a.najafi@modares.ac.ir; bmajnoni@ut.ac.ir; Marten.Geertsema@gov.bc.ca