Paper/Poster/Presentation Title
Keywords
data-driven visualization, water resources, multivariate spatio-temporal data, web app, qualitative trend analysis
Start Date
26-6-2018 2:00 PM
End Date
26-6-2018 3:20 PM
Abstract
Our previous work resulted in a visualization platform capable of clearly depicting correlations and suggesting interdependencies between time-varying, spatially-distributed quantities; it is called DiscoverWater. DiscoverWater displays time-series data in a time-evolving map and graphs. While somewhat limited in the prototype, the idea is to enable user selection of points on the map and that results in associated time-series data being plotted in user-activated synchronized graphs. In the prototype, the data plotted include monthly average streamflow, irrigation pumping, county-wide irrigation pumping, and PDSI. Simulated results can also be plotted. DiscoverWater displays how water resources change on the landscape and in the subsurface. It is programmed using open-source data visualization and web-mapping JavaScript APIs.
The prototype is demonstrated using hydrologic data from southwest Kansas, where the High Plains aquifer has been severely depleted. Results show clearly how one small county, at its peak, was pumping as much as the average annual flow in the local reach of the Arkansas river. The resulting reduced resilience of stream flow to drought is made clear through the data display provided by DiscoverWater.
DiscoverWater: An Interactive Visualization Web App for Multiple Spatio-temporal Datasets with Application to Water Resources
Our previous work resulted in a visualization platform capable of clearly depicting correlations and suggesting interdependencies between time-varying, spatially-distributed quantities; it is called DiscoverWater. DiscoverWater displays time-series data in a time-evolving map and graphs. While somewhat limited in the prototype, the idea is to enable user selection of points on the map and that results in associated time-series data being plotted in user-activated synchronized graphs. In the prototype, the data plotted include monthly average streamflow, irrigation pumping, county-wide irrigation pumping, and PDSI. Simulated results can also be plotted. DiscoverWater displays how water resources change on the landscape and in the subsurface. It is programmed using open-source data visualization and web-mapping JavaScript APIs.
The prototype is demonstrated using hydrologic data from southwest Kansas, where the High Plains aquifer has been severely depleted. Results show clearly how one small county, at its peak, was pumping as much as the average annual flow in the local reach of the Arkansas river. The resulting reduced resilience of stream flow to drought is made clear through the data display provided by DiscoverWater.
Stream and Session
B2: Hybrid modelling and innovative data analysis for integrated environmental decision support