ABSTRACT:

Reducing nitrogen delivery to coastal waters is a “wicked problem” involving tradeoffs in environmental, economic and social need domains. Because these tradeoffs arise from spatial and temporal complexities in sources and sinks of this element, we hypothesized that a transdisciplinary focus on disproportionality could allow for the identification of “hot” or “sweet” spots where multiple factors converge to create opportunities to control nitrogen flux. We applied this approach to the Baltimore, MD USA region by mapping stream reaches with high nitrogen concentrations, hydrologic conditions amenable to stream restoration, high willingness to pay for restoration projects, and high social need for restoration, and subsequently identifying locations where these factors converge to create sweet spots. Our analysis suggests that sweet spots that optimize environmental, economic, and social need components of sustainability may be rare. The desire to bundle multiple benefits in the budgeting for environmental interventions such as stream restoration may create a sub-optimal distribution of these interventions in a sustainability context.

The repository:
The repository includes data stream-level nitrogen reduction post-stream restoration, willingness to pay (WTP) from households within 1 mile of stream midpoints, and associated census factors within the 1-mi buffer. Estimates of stream nitrogen concentrations from the SPARROW model (https://sparrow.wim.usgs.gov/sparrow-northeast-2012) within our study area are also included. A Jupyter Notebook contains code for processing and generating figures of the study. Check "README.docx" file for details.

ABSTRACT:

This HydroShare resource provides the Jupyter Notebooks for RHESSys modeling workflow using the HydroShare model instance at Coweeta subbasin18, NC

To find out the instructions on how to run Jupyter Notebooks, please refer to the README file which is provided in this resource.

ABSTRACT:

This HydroShare resource provides the Jupyter Notebooks for RHESSys End-to-End modeling workflow using the GeoServer approach at Scotts Level Branch, Maryland

To find out the instructions on how to run Jupyter Notebooks, please refer to the README file which is provided in this resource.

ABSTRACT:

This HydroShare resource provides the Jupyter Notebooks for RHESSys End-to-End modeling workflow using the GeoServer approach at Spout Run, VA

To find out the instructions on how to run Jupyter Notebooks, please refer to the README file which is provided in this resource.