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 81.5 MB | |
Created: | Sep 12, 2024 at 2:32 p.m. | |
Last updated: | Sep 12, 2024 at 3:16 p.m. | |
Citation: | See how to cite this resource | |
Content types: | Single File Content |
Sharing Status: | Public |
---|---|
Views: | 109 |
Downloads: | 28 |
+1 Votes: | 1 other +1 this |
Comments: | No comments (yet) |
Abstract
This study investigates the dynamics of snowmelt and groundwater storage within the North Alouette River
catchment, using streamflow recession analysis as a novel approach to quantify snowmelt contributions. Initially, a
virtual watershed model is developed to simulate the relationships between temperature, precipitation, and storage
fluxes. This model, based on a storage-discharge method, provides insights into groundwater storage estimation
and the potential to infer snowmelt from discharge data. The method is then applied to the North Alouette River
catchment (BC, Canada), analyzing five years of hydrogeological data. Results indicate seasonal patterns of groundwater storage
and snowmelt, with snowmelt primarily occurring between mid-May and early July. This study acts as a proof of
concept, demonstrating the feasibility of using discharge data to estimate snowmelt through groundwater storage.
Despite promising findings, the study highlights limitations such as the exclusion of evapotranspiration and the
challenges posed by the region’s limited snow coverage. The findings underscore the importance of refining models
to include all relevant hydrological processes, aiming to enhance water resource management in the context of
climate change.
Subject Keywords
Coverage
Spatial
Content
Credits
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 |
---|---|---|---|---|
W. Jesse Hahm | UC Berkeley;simon fraser university | British Columbia, CA | ||
David Dralle | US Forest Service | CA, US |
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