Dr. Babak Shotorban and his team at the University of Alabama have developed a model for predicting forest fires which helps scientists to gain a better understanding of this phenomenon and think of ways to prevent it.
Dr. Babak Shotorban and his colleagues have concluded that by achieving a better understanding of how wildfires start due to climate change and global warming, one is able to provide a more accurate prediction of these disasters.
For this purpose, Dr. Shotorban and his team have developed a computer model with high precision and are optimistic that soon the data obtained from this model will easily predict the possibility of fires caused by climate change and global warming.
Statistics show measures taken to extinguish large fires in forests and wildlife cost about one million dollars a day and this figure comes to two billion dollars annually. Thus, the development of this computer model with such a high precision is significant.
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