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 2.8 KB | |
| Created: | Feb 08, 2023 at 2:57 a.m. | |
| Last updated: | Feb 08, 2023 at 2:57 a.m. | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
|---|---|
| Views: | 579 |
| Downloads: | 224 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
Abstract
The estimation of groundwater recharge volume is a crucial requirement for the management of subsurficial water resources. The implementation of monitoring of the water table in shallow aquifers allows the seasonal variation in the water table induced by natural and anthropogenic factors. The assessment of groundwater recharge through analysis of the water table is commonly estimated by the water table fluctuation (WTF) method, an approach subject to uncertainty. Aiming to improve estimation of groundwater recharge, we proposed and tested a simple approach combining a numerical flow model with statistical analysis of cross-correlation. Our strategy produces a time-series of recharge that is able to generate the observed water-table fluctuation and may be especially useful in analyses of the hydrological balance. The obtained results showed that our approach was suitable and was capable of producing a time-series of monthly recharge, with groundwater recharge comprising 17% of total precipitation. The cross-correlation indicates that the most significant correlation (0.63) between precipitation and groundwater recharge is observed at a time lag of 1.5 months, suggesting fast movement of precipitated water toward the unsaturated zone.
Subject Keywords
Coverage
Spatial
Content
Additional Metadata
| Name | Value |
|---|---|
| DOI | 10.1007/s40899-021-00546-4 |
| Depth | 30 |
| Scale | 11 - 101 km² |
| Layers | 2-5 layers |
| Purpose | Groundwater resources;Scientific investigation (not related to applied problem) |
| GroMoPo_ID | 145 |
| IsVerified | True |
| Model Code | MODFLOW |
| Model Link | https://doi.org/10.1007/s40899-021-00546-4 |
| Model Time | 2011-2019 |
| Model Year | 2021 |
| Model Authors | E.H. Teramoto, P.L.B. Crioni, H.K. Chang |
| Model Country | Brazil |
| Data Available | Report/paper only |
| Developer Email | chang.hung-kiang@unesp.br |
| Dominant Geology | Model focuses on multiple geologic materials |
| Developer Country | Brazil |
| Publication Title | Daily time series of groundwater recharge derived from temporal variation of water level |
| Original Developer | No |
| Additional Information | The estimation of groundwater recharge volume is a crucial requirement for the management of subsurficial water resources. The implementation of monitoring of the water table in shallow aquifers allows the seasonal variation in the water table induced by natural and anthropogenic factors. The assessment of groundwater recharge through analysis of the water table is commonly estimated by the water table fluctuation (WTF) method, an approach subject to uncertainty. Aiming to improve estimation of groundwater recharge, we proposed and tested a simple approach combining a numerical flow model with statistical analysis of cross-correlation. Our strategy produces a time-series of recharge that is able to generate the observed water-table fluctuation and may be especially useful in analyses of the hydrological balance. The obtained results showed that our approach was suitable and was capable of producing a time-series of monthly recharge, with groundwater recharge comprising 17% of total precipitation. The cross-correlation indicates that the most significant correlation (0.63) between precipitation and groundwater recharge is observed at a time lag of 1.5 months, suggesting fast movement of precipitated water toward the unsaturated zone. |
| Integration or Coupling | |
| Evaluation or Calibration | Dynamic water levels |
| Geologic Data Availability |
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