[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 10, Issue 3 (9-2019) ::
GEJ 2019, 10(3): 1-14 Back to browse issues page
Avalanch Zoning Using Artificial Neural Network (MLP) Models (Case Study: Mountainous Area of North Alborz Province)
V. Ahmadi, M. Moradi
Abstract:   (2848 Views)
Avalanche is one of a variety of mass movements that refers to the rapid movement of masses of snow in the direction of slope gradient. Avalanche drives in addition to snow, rock and soil and plant and damage the communication lines, buildings and power lines on the way to the avalanche. In this research, domains with avalanche potential were zoned using artificial neural network model (MLP). In order to study the model of the data of 39 fields that occurred in avalanche, the network was introduced and the factors affecting the avalanche include slope, gradient, altitude, land use, geology, weather data including precipitation and temperature, and the network of waterways and communication lines It was introduced as input after normalizing to the network, and finally, after the test and error, to achieve the minimum error and maximum structural accuracy with an input layer architecture with 10 neurons, a hidden layer with 15 neurons and an output layer for training And network learning. Out of 39 data that was previously in the avalanche that was introduced as black spots to the network, 70% was used for training and 30% for the test, and the model was carefully trained with 90.4%. Finally, after zoning of avalanche slopes with 88.6 percent accuracy in zoning, the factor for slope, slope and elevation was the most important factor in avalanche occurrence in the region, respectively.
Keywords: Zoning, Avalanche, Geographic Information System, Artificial Neural Networks (MLP), Alborz Province, Satellite Imagery Processing
Full-Text [PDF 1114 kb]   (1506 Downloads)    
Type of Study: Applicable | Subject: GIS
Add your comments about this article
Your username or Email:


XML   Persian Abstract   Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Ahmadi V, Moradi M. Avalanch Zoning Using Artificial Neural Network (MLP) Models (Case Study: Mountainous Area of North Alborz Province). GEJ 2019; 10 (3) :1-14
URL: http://gej.issge.ir/article-1-295-en.html

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 10, Issue 3 (9-2019) Back to browse issues page
نشریه علمی مهندسی نقشه برداری و اطلاعات مکانی Geospatial Engineering Journal