TY - JOUR
PY - 2022//
TI - An advanced approach for leaf flammability index estimation
JO - International journal of wildland fire
A1 - Güney, Coşkun Okan
A1 - Sarı, Abdullah
A1 - Cekim, Hatice Oncel
A1 - Küçüksille, Ecir Uğur
A1 - Şentürk, Özdemir
A1 - Gülsoy, Serkan
A1 - Özkan, Kürşad
A1 - Güney, Coşkun Okan
A1 - Sarı, Abdullah
A1 - Cekim, Hatice Oncel
A1 - Küçüksille, Ecir Uğur
A1 - Şentürk, Özdemir
A1 - Gülsoy, Serkan
A1 - Özkan, Kürşad
SP - 277
EP - 290
VL - 31
IS - 3
N2 - Vegetation is the only component that can be directly managed to reduce the negative consequences of wildland fires. Flammability indexes provide information about plant flammability characteristics and are commonly used in wildland fuel management. However, previous flammability indexes were usually based on only two or three flammability components. We propose an advanced approach for leaf flammability index estimation that integrates all four flammability components (ignitability, combustibility, sustainability and consumability) using cluster and linear discriminant analyses. We measured time to ignition, ignition temperature, maximum flame height, combustion time, mass loss percentage and fuel moisture content of 15 plant species most affected by forest fires in Turkey (every two weeks, from May to September). Species were divided into different flammability classes and ranked according to their flammability index (FI) values. Classifications and FI rankings showed seasonal variations for some of the species. During May and June, fuel moisture contents explained ~50-60% of variation in leaf flammability but this relationship steadily decreased towards September (13%) when weather conditions became drier. The proposed approach for FI estimation offers a more detailed flammability assessment and comparison between plants. It can be used to identify less flammable plants for fuel breaks and landscaping in the wildland-urban interface. Language: en
LA - en
SN - 1049-8001
UR - http://dx.doi.org/10.1071/WF21022
ID - ref1
ER -