Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
| Authors: |
|
|
|---|---|---|
| Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
| Type: | Resource | |
| Storage: | The size of this resource is 984.7 MB | |
| Created: | May 30, 2024 at 10:03 p.m. | |
| Last updated: | Dec 20, 2024 at 1:24 a.m. (Metadata update) | |
| Published date: | Dec 19, 2024 at 2:19 p.m. | |
| DOI: | 10.4211/hs.fa1eb51c8756427d9fc50c415b714557 | |
| Citation: | See how to cite this resource | |
| Content types: | Geographic Feature Content CSV Content |
| Sharing Status: | Published |
|---|---|
| Views: | 159 |
| Downloads: | 7 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
Abstract
The increase in the societal and economic impacts of flooding across the eastern United States has brought attention to the potential link between long-term increases in urban areas and changes in the watersheds’ flood response. One outstanding challenge is to isolate the effects of land cover changes from other flood-related factors. To advance our understanding of these processes and their nexus, we utilize a statistical framework in which we use different parameterizations of the Generalized Pareto distribution (GPD) to model sub-daily peak-over-thresholds (POT) events at 102 stream gauges in the following metropolitan areas across the eastern United States: Boston, New York, Philadelphia, Baltimore, Charlotte, Atlanta, Houston, and Tampa. While we keep the shape parameter constant, we allow the scale parameter to: 1) be constant; 2) depend on hourly accumulated rainfall; or 3) be dependent on a combination of hourly accumulated rainfall and the temporal changes in the percentage of the watershed’s developed land. Based on our modeling results, we select the model with the land change as predictor in only 3% of the watersheds. Moreover, the model configuration in which rainfall is the only predictor is selected the most frequently (~80% of the sites) across the eight metropolitan regions. Therefore, our findings indicate that the key flood driver in urban basins across the eastern United States is rainfall, without clear evidence linking long-term changes of impervious area (i.e., urbanization) and the watersheds’ flood response.
Subject Keywords
Coverage
Spatial
Content
ReadMe.txt
Observations: 1. The NWALT files can be downloaded from the link below: https://www.sciencebase.gov/catalog/item/631405bad34e36012efa3040 2. NLCD files are available on the following link: https://www.sciencebase.gov/catalog/item/6345b637d34e342aee0863aa 3. The plotting script associated with Figure S11 is embedded on the script #8 of this repository
Data Services
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| U.S. National Science Foundation | EAR‐1840742 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
|---|---|---|---|---|
| Gabriele Villarini | Princeton University |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment