Exploring how to coordinate multiple satellites to increase the frequency of data received during potential flood events and how this more frequent data could improve flood forecasting and warning.
This blog post was written while I was a fellow at the Institute for the Built Environment (IBE) at Colorado State University. The original post can be found here.
Many people consider rivers in urban areas to be dirty, dangerous, and polluted. Unfortunately, they aren’t always wrong. Urban rivers are convenient dumping grounds for waste, and can flood, threatening homes and businesses. However, it doesn’t have to be this way.
This fall, one hurricane after another battered the U.S. – Harvey in Texas, Irma in Florida, and Maria in Puerto Rico. In addition to the damage from wind and storm surge, heavy rainfall from these storms caused significant flooding. Photographs provided stark visuals of just how extensive this flooding was, but it is also important to quantify their impact. Last year, Dr. Brooke Anderson and I developed an R package – countyfloods – to analyze flood magnitude using data from stream gages maintained by the US Geological Survey (USGS)1.
How we talk about floods impacts our understaning of the risks they pose.