Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

GroMoPo Metadata for Brotas WTF model


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: 315
Downloads: 207
+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

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Brazil
North Latitude
-22.2713°
East Longitude
-48.0906°
South Latitude
-22.3300°
West Longitude
-48.1958°

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

GroMoPo, S. Ruzzante (2023). GroMoPo Metadata for Brotas WTF model, HydroShare, http://www.hydroshare.org/resource/8f226ee7d6b243c2b209d43ad4921d16

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

Comments

There are currently no comments

New Comment

required