A Comparison of an Adaptive Neuro-Fuzzy and Frequency Ratio Model to Landslide-Susceptibility Mapping along Forest Road Networks

Forests

Mohammad Kazem Hafizi¹  Akbar Najafi²  Seyed Ata Ollah Hosseini³  Nastaran Zare³  Baris Majnounian³  Marten Geertsema⁴ 

[1] Department of Earth Physics, Institute of Geophysics, University of Tehran, North Kargar Street, Tehran 14155-6466, Iran;Department of Forest Science and Technology, Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor 46414-356, Iran;Forest Engineering, Department of Forestry and Forest Economics, College of Agriculture & Natural Resources, University of Tehran, Daneshkadeh Ave., Karaj 77871-31587, Iran;Research Geomorphologist, Ministry of Forests and Range, 1011 4th Avenue, Prince George, BC V2L 3H9, Canada;

关键词: ANFIS;    frequency ratio;    Hyrcanian forest;    landslide;   

DOI  :  10.3390/f12081087

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown