An average of almost five flooding days every year, the Texas faces these calamity since 20 years. The region of central Texas and west Texas, are most affected by speedy or flash floods, wherein hilly areas these flash floods occur without any prior warning. Total number of deaths caused by the floods in year 2019 was 5, while 68 people died during Harvey hurricane in the year 2017.
To tackle this, the researchers from Zachry Department of Civil and Environmental Engineering have claimed that their new algorithm considers the underground drainage channels to provide an accurate representation of how floods propagate. Assistant Professor Ali Mostafavi says that “Not knowing where the flood water will flow next is particularly detrimental for first res ponders who need to gauge the level of flooding for their rescue operations.” Hurricanes along with floods are also considered dangerous as they too cause havoc in the shores, trees and damaging power lines, which also result in causing flood like situation.
These Algorithm was tested on the basis of data that was collected from two flooding events in Texas -Harvey Hurricane and Memorial Day flooding. A model was developed by using probability that was fed with water-level readings on flood gauges during those two flooding events. After testing the algorithm of water flow patterns with the help of drainage network for those heavy rainfalls, it was found that the model is 85% accurate in predicting how the flood extended in the region.
Although the researchers also state that these model may get compromised in case if the sensors on flood gauge fail, still the chances of getting accurate predictions of the floods with the help of these algorithm can be prove to be fruitful for Texas.