Akademik Veri Yönetim Sistemi
3rd International Symposium of Forest Engineering and Technologies (FETEC2022), Baku, Azerbaycan, 28 - 29 Kasım 2022, ss.97
Forest fires cause
significant damage to thousands hectares of forested lands at worldwide scale
not being able to benefit from many products and services depending on forests,
and even loss of lives and property. Therefore, many countries suffering from
forest fires have constituted their fire management organizations. These organizations
require accurate, timely and readily available information to be successful in
fire suppression and develop sound strategies. To acquire and make this
information available to fire management organization, a sound decision support
system is necessary. Computer-based decision support systems have been successfully
used especially in the Canada, USA and Australia and are being implemented in
many other countries. More than fifty-five percent of the forested lands in Türkiye
is under the threat of forest fires and there have been some endeavours to
establish fire danger rating systems as a decision support system in the
country. As a result of these studies, a web-based prototype Turkish National
Fire Danger Rating (TOYTOS) decision support system was developed. The developed
system differs from similar systems with its genuine dynamic fuel moisture and
fire spread models, enabling fire suppression options in a fire simulation with
land and air vehicles as well as back burning operations and producing spatial
maps after a fire to determine the fire effects. The objective of this study is
to review the operationally used decision support systems in fire management organizations
at global scale and the use of prototype TOYTOS software in some fires in
Türkiye. The results of this study will have potential to help fire managers in
decision making process in pre-and post-fire situations as well as fire
suppression operations.