Modeling Community Erosion from Climate Change

Welcome to the Stone Environmental application for the Esri Climate Resiliance App Challenge 2014.

This application enables community members and leaders to understand the impact climate change will have on soil erosion. It provides a basis for taking preventative action regarding infrastructure investments and soil conservation using high-resolution scientific data.

We use historic and future precipitation data over 20-year time periods (1981-2000 and 2051-2070) from five state of the art climate models as inputs to an erosion model. The erosion model results provide information on changes in annual total erosion, seasonal variations, and soil losses due to extreme precipitation events, as well as insight into uncertainty in future climate conditions.

To get started:

  1. Select location: Get started with your analysis by locating your area of interest. Pan and zoom the map or type an address into the geocoder to change location. Current-day conditions for annual average erosion are shown on the map to help you identify today's areas of high risk for further analysis.
  2. Click to run: Run the model by clicking on any map point. The erosion model runs with soils and land use information at the selected location and historic and future modeled precipitation data. Results are displayed comparing historic and future erosion conditions.
  3. Explore options: Review the explanation of results and recommended next steps in the left pane. Propose an alternative land cover in the future to explore possible mitigation actions or to evaluate impacts of development.
  4. Understand uncertainty: Consider the variability in annual erosion results driven by the five different climate models to assess the robustness of your predictions.

For additional information, please download the Erosion App User Guide


What this means:

What you can do:

Current Land Use:

Propose a change in land use to see how it may affect erosion:

Getting current land use and soil type...

Analyzing 20 years of daily precipitation data. This might take a second or two...