Akademik Veri Yönetim Sistemi
Environmental Change and the Forest Fires, İstanbul, Türkiye, 4 - 05 Ağustos 2021, ss.10, (Özet Bildiri)
Forest fires cause damage to
thousands of hectares of forested areas around the world every year, and many
products and services based on forests are not utilized sufficiently. Especially
in recent years, there has been an increase in the number of fires with great
and destructive effects due to factors such as population growth and climate
change. Monitoring areas with high risk and danger potential for forest fire
and early detection of fire significantly shorten the first response time
reducing the potential damage and cost of firefighting. While a little of water
is sufficient at the beginning of forest fire in the first minute, but the
efforts may not be sufficient to extinguish the forest fire over time. For this
reason, it is extremely important estimating the areas with high risk and
danger potential before fires in forest areas and detecting the first ignition
in terms of preventing loss of life, property and labor. Human-based monitoring
methods are traditionally used in the detection of forest fires in various
countries around the world. In addition, satellite-based systems and
camera-based systems are also used as alternative methods. A very new
alternative method called Wireless Sensor Network Systems (WSNS) is a promising and innovative technology in the detection of
forest fires. The advantages of WSNS
in surveillance of forest fires are that it has battery-powered low cost sensor
nodes, can detect the fire quickly in real time by detecting the flame in a
short time, its location accuracy is high, it can be placed in difficult or
inaccessible places (invisible to cameras and towers), can be connected to many
devices and different parameters Many types of sensors can be added to measure,
no need to build towers or establish complex communication connections, and the
ability to send the collected information to the center in real time. In
practice, WSNS helps the models to
calculate real-time fire risk and danger potential on a local basis thanks to
the measurement of important meteorological variables (temperature,
precipitation, relative humidity and wind) by sensors, and then instantly
transfer them to fire prevention and extinguishing units without delay, and
take precautions.