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GroMoPo Metadata for Korba Aquifer Kerrou model


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Created: Feb 07, 2023 at 6:16 p.m.
Last updated: Feb 07, 2023 at 6:17 p.m.
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Abstract

A stochastic study of long-term forecasts of seawater intrusion with an application to the Korba aquifer (Tunisia) is presented. Firstly, a geostatistical model of the exploitation rates was constructed, based on a multi-linear regression model combining incomplete direct data and exhaustive secondary information. Then, a new method was designed and used to construct a geostatistical model of the hydraulic conductivity field by combining lithological information and data from hydraulic tests. Secondly, the effects of the uncertainties associated with the pumping rates and the hydraulic conductivity field on the 3D density-dependent transient model were analysed separately and then jointly. The forecasts of the impacts of two different management scenarios on seawater intrusion in the year 2048 were performed by means of Monte Carlo simulations, accounting for uncertainties in the input parameters as well as possible changes of the boundary conditions. Combining primary and secondary data allowed maps of pumping rates and the hydraulic conductivity field to be constructed, despite a lack of direct data. The results of the stochastic long-term forecasts showed that, most probably, the Korba aquifer will be subject to important losses in terms of regional groundwater resources.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Tunisia
North Latitude
36.7892°
East Longitude
11.0158°
South Latitude
36.5026°
West Longitude
10.8333°

Content

Additional Metadata

Name Value
DOI 10.1007/s10040-012-0911-x
Depth 200
Scale < 1000 km²
Layers >20 layers
Purpose groundwater resources;salt water intrusion
GroMoPo_ID 68
IsVerified True
Model Code GroundWater 3D code (Cornaton 2007) - ref. in the article
Model Link https://doi.org/10.1007/s10040-012-0911-x
Model Time 1960–2048
Model Year 2013
Model Authors Jaouher Kerrou, Philippe Renard, Fabien Cornaton, Pierre Perrochet
Model Country Tunisia
Data Available report/paper only;Geological input available;Geological cross-section in paper
Developer Email jaouher.kerrou@unine.ch
Dominant Geology unconsolidated
Developer Country Switzerland
Publication Title Stochastic forecasts of seawater intrusion towards sustainable groundwater management: application to the Korba aquifer (Tunisia)
Original Developer No
Additional Information
Integration or Coupling Solute transport
Evaluation or Calibration dynamic water levels;contaminant concentrations
Geologic Data Availability

How to Cite

GroMoPo, D. Zamrsky (2023). GroMoPo Metadata for Korba Aquifer Kerrou model, HydroShare, http://www.hydroshare.org/resource/a4637d6216714e8e9b558acf2a5301e4

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

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

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