Present: ارايه پوستري
COI code: ICSAU05_0628
Paper Language: English
How to Download This Paper
For Downloading the Fulltext of CIVILICA papers please visit the orginal Persian Section of website.
Authors Using autologistic regression to simulate the forest fire development based on a cellular automatah Sahraiian - GIS MSc student, School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran,
p Pahlavani - Assistant professor, School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran,
b Bigdeli - Assistant professor, School of Civil Engineering, College of Engineering, Shahrood University of Teechnology, Shahrood, Iran,
Abstract:The forest fire is one of the natural disasters that menaces the large parts of the forests. Forest fires proliferate increasingly due to oxygen resource depletion, greenhouse gases, and rising global temperatures. Due to the devastating effects of forest fires, research on modern methods for simulation forest fire is essential. In this research, Golestan forest fire development has been simulated based on a cellular automata and an autologistic regression was used for calibration. In the proposed method, 5 m spatial resolution has higher accuracy than the other spatial resolutions. Also, using Moore neighborhood filter is better than the Extended Moore neighborhood filter. At the best case in this research, the Kappa index, overall accuracy, and relative operating characteristic (ROC) obtained 79.7%, 87.1% and 84.4%, respectively
Keywords:Simulation, Forest Fire, Cellular Automata, Autologistic Regression
COI code: ICSAU05_0628
how to cite to this paper:If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Sahraiian, h; p Pahlavani & b Bigdeli, 2017, Using autologistic regression to simulate the forest fire development based on a cellular automata, 5th international congress of structure, architecture and urban development, تهران, دبيرخانه دايمي كنفرانس, https://www.civilica.com/Paper-ICSAU05-ICSAU05_0628.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Sahraiian, h; p Pahlavani & b Bigdeli, 2017)
Second and more: (Sahraiian; Pahlavani & Bigdeli, 2017)
For a complete overview of how to citation please review the following CIVILICA Guide (Citation)
The University/Research Center Information:
Type: state university
Paper No.: 54975
in University Ranking and Scientometrics the Iranian universities and research centers are evaluated based on scientific papers.
Research Info Management
Export Citation info of this paper to research management softwares
New Related Papers
- Investigation of the laboratory models scales in the analysis of the buried pipeline behaviors
- PREVENTION OF DELETERIOUS ASR BY ASSESSING AGGREGATES AND SPECIFIC CONCRETE MIXTURES
- NONLINEA ANALYSIS OF REINFORCED CONCRETE ELEMENTS
- EXPERIMENTAL INVESTIGATION OF THE JACK ARCH SLAB RETROFITTED BY CONCRETE LAYER
- INTERNATIONAL TRENDS IN BUILDING & CONSTRUCTION RESEARCH & DEVELOPMENT
The Above articles are recently indexed in the related subjects
Iran Scientific Advertisment Netword
Share this paper
WHAT IS COI?
COI is a national code dedicated to all Iranian Conference and Journal Papers. the COI of each paper can be verified online.