How to know where flood waters will flow

Hurricane Harvey caused massive flooding in Texas, leading to numerous rescues and evacuations. Researchers at Texas A&M, funded by the NSF, developed an algorithm to predict floodwater flow in real-time. This model uses sensors in drainage channels to enhance traditional models, providing accurate flood predictions. The improved data helps first responders plan better evacuation and rescue operations.

What was one of the major consequences of Hurricane Harvey in Texas?

• An increase in population

• A decrease in rainfall

• A large number of emergency water rescues

• A significant increase in temperature

Who funded the research for the flood prediction algorithm developed by Texas A&M?

• The Environmental Protection Agency

• The National Science Foundation

• The National Aeronautics and Space Administration

• The Department of Energy

What is the primary purpose of the algorithm developed by Texas A&M researchers?

• To calculate the economic impact of hurricanes

• To predict the temperature changes during hurricanes

• To forecast the flow of floodwater in real-time

• To measure the wind speed during storms

How does the new model improve flood prediction compared to conventional models?

• By focusing on wind speed

• By using satellite imagery

• By incorporating underground drainage data

• By analyzing historical weather patterns

What advantage does the combined use of new and traditional models offer to first responders?

• It predicts the exact time of the next hurricane

• It reduces the cost of rescue operations

• It provides a more precise picture of floodwater movement

• It eliminates the need for evacuation