Making the Grand River Watershed Smarter using Analytics | A Smarter Planet Blog
Watersheds are complex. Traditionally, watershed research has been limited by the inability to store massive amounts of data collected from monitoring sites, merge information to evaluate trends, and capture sporadic events that could be crucial in understanding a watershed. The picture that emerges from sampling a nutrient like nitrogen in a stream, for example, can be vastly different if one looks at 5-minute intervals rather than every 3 hours. Managing the sampling frequency is a challenge.
Today, thanks to advances in both hardware and software, we are able to gather the information needed to analyze and interpret a watershed unlike ever before.