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GroMoPo Metadata for Takelsa aquifer PMWIN model


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Created: Feb 08, 2023 at 5:05 a.m.
Last updated: Feb 08, 2023 at 5:06 a.m.
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Abstract

Groundwater models are vulnerable to uncertainties, especially those that are developed based on incomplete knowledge of the hydraulic parameters. Transmissivity is often the most uncertain parameter in groundwater modeling. This work evaluates the effect of the spatial variability of transmissivity on the outputs of the groundwater flow model of the Takelsa multilayer aquifer. The study was based on a combination of deterministic and stochastic modeling. Groundwater flow modeling and stochastic simulations were made using the PMWIN software (a version of MODFLOW). Initially, the groundwater flow model was developed in the steady state. The criteria used for the calibration process were based on the comparison between the observed and the simulated hydraulic level. Then, a stochastic approach was used and 100 simulations of transmissivity were performed. The simulated transmissivity values were used to recalculate the hydraulic head and the water budget of the Saouaf deep aquifer. Finally, the consequent 100 results obtained by running MODFLOW were analyzed. The results showed variations in the hydraulic head levels, but the flow direction remained the same. The impact of the spatial variability of transmissivity on the water budget shows a range of inflow and outflow rates of Saouaf aquifer, with special relevance to the sea intrusion which may cause a probable deterioration of the quality of the groundwater.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Tunisia
North Latitude
36.8894°
East Longitude
10.7698°
South Latitude
36.7299°
West Longitude
10.5074°

Content

Additional Metadata

Name Value
DOI 10.1007/s12665-017-7021-y
Depth
Scale 101 - 1 000 km²
Layers 3
Purpose Scientific investigation (not related to applied problem)
GroMoPo_ID 227
IsVerified True
Model Code MODFLOW
Model Link https://doi.org/10.1007/s12665-017-7021-y
Model Time
Model Year 2017
Model Authors Ghouili, N; Ribeiro, L; Zammouri, M; Horriche, FJ
Model Country Tunisia
Data Available Report/paper only
Developer Email nesrine.ghouili@gmail.com; luis.ribeiro@ist.utl.pt; z_mounira@yahoo.fr; faten.jarraya@certe.rnrt.tn
Dominant Geology Model focuses on multiple geologic materials
Developer Country Tunisia; Portugal
Publication Title Effect of the spatial variability of transmissivity on the groundwater flow and budget of the Takelsa multilayer aquifer, Tunisia
Original Developer No
Additional Information
Integration or Coupling
Evaluation or Calibration Static water levels
Geologic Data Availability

How to Cite

GroMoPo, D. Kretschmer (2023). GroMoPo Metadata for Takelsa aquifer PMWIN model, HydroShare, http://www.hydroshare.org/resource/95c28abd769742b8acf930d43a27d65d

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

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

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