GroMoPo Metadata for Brotas WTF model

Authors:

GroMoPo Sacha Ruzzante

Owners:

gromopo_admin

Type:

Resource

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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.

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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°

Streets Terrain Satelite

Spatial Extent

Content

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Additional Metadata

Name	Value
DOI	10.1007/s40899-021-00546-4
Depth	30
Scale	11 - 101 kmÂ²
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/

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