Hydrological Event Detection & Analysis for streamflow and water quality time series

When analyzing time series of streamflow and associated water quality sensor data such as turbidity, researchers and managers often are interested in isolating storm events since that is when behavior is dynamic and physical processes can be inferred. In this presentation, we will present preliminary development of a web-based data analysis tool that can be used for hydrological event detection and analysis (HEDA). Currently, a lack of options exist for detecting, delineating and analyzing hydrological events that don’t require utilizing a programming environment such as R or MATLAB. We will present a first look at a web-based tool capable of interfacing with time series stored on the CUAHSI HydroServer and USGS NWIS databases and then performing subsequent analysis. We will demonstrate the event-based analysis that can be obtained from the HEDA tool as well as encourage feedback from potential users of the tool.