Current Proceedings on Technology

Current Proceedings on Technology

Forest fire prediction: A comparative study of applicability of fire weather indices for Lebanon

Yazarlar: Ali Karouni, Bassam Daya, Samia Bahlak

Cilt 5 , Sayı - , 2014 , Sayfalar -

Konular:-

Anahtar Kelimeler:Forest fire prediction,Fire weather indices,Efficient parameters

Özet: Forest fire prediction proves to contribute in preventing fire occurrence or reducing its catastrophic impacts in worst cases on human lives, properties and green forestry. Seven existing fire weather indices are studied in this paper. The aim is to find the best fitting model for Lebanon Mediterranean conditions among Keetch Byram, Nesterov, Modified Nesterov, Angstrom, Modified Keetch Byram, FMI and FWI Canadian index. Meteorological data from Lebanon are implemented for that purpose. On the behalf, a study is held on the most efficient parameters allowing to find an adapted empirical drought index to Lebanon and Mediterranean conditions in the future.

ATIFLAR
Atıf Yapan Eserler
Henüz Atıf Yapılmamıştır
KAYNAK GÖSTER
BibTex
KOPYALA
@article{2014, title={Forest fire prediction: A comparative study of applicability of fire weather indices for Lebanon}, volume={5}, number={0}, publisher={Current Proceedings on Technology }, author={Ali Karouni, Bassam Daya, Samia Bahlak}, year={2014} }
APA
KOPYALA
Ali Karouni, Bassam Daya, Samia Bahlak. (2014). Forest fire prediction: A comparative study of applicability of fire weather indices for Lebanon (Vol. 5). Vol. 5. Current Proceedings on Technology .
MLA
KOPYALA
Ali Karouni, Bassam Daya, Samia Bahlak. Forest Fire Prediction: A Comparative Study of Applicability of Fire Weather Indices for Lebanon. no. 0, Current Proceedings on Technology , 2014.
Atıf Görüntüle
PDF Görüntüle
Kaynak Görüntüle
Paylaş
Dergi Bilgileri