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GroMoPo Metadata for Aynalem Well Field model


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Created: Apr 13, 2023 at 2:12 p.m.
Last updated: Apr 13, 2023 at 2:12 p.m.
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Abstract

Improved understanding of linkages of hydrogeological systems with human interactions is required for sustainable development of groundwater resources in arid and semiarid regions. In this paper, an integrated approach coupling geographical information system (GIS) and a finite-difference method-based numerical model was used to carry out groundwater flow modeling of the Aynalem well field aquifer system in Ethiopia to determine impacts of external hydraulic stresses on the groundwater regime and to investigate the long-term effects of current pumping practices for municipal water supply to the city of Mekelle, Ethiopia. It incorporates stream-aquifer interaction, water budgeting, and long-term groundwater level prediction. Results show good agreement between simulated and observed hydraulic heads with a correlation coefficient of 0.97. The well yield potential would decrease because of the alarming rate (1.9 m= year) of decline in groundwater level. An approximately 38-m decline in groundwater level is expected by the end of year 2022, and thus no additional wells are recommended for groundwater sustainability. Results reveal the need of regulation on groundwater draft, determination of optimized pumping rates, and groundwater recharge measures for the sustainability of groundwater resources. The sensitivity analysis reveals that the recharge is more sensitive compared to hydraulic conductivity and streambed conductance.(C) 2017 American Society of Civil Engineers.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Ethiopia
North Latitude
13.4794°
East Longitude
39.6097°
South Latitude
13.4256°
West Longitude
39.4668°

Content

Additional Metadata

Name Value
DOI 10.1061/(ASCE)HE.1943-5584.0001444
Depth N/A
Scale 101 - 1 000 km²
Layers 1
Purpose Groundwater resources, Decision support
GroMoPo_ID 2023
IsVerified True
Model Code MODFLOW
Model Link https://doi.org/10.1061/(ASCE)HE.1943-5584.0001444
Model Time 2003-2006
Model Year 2017
Creator Email kcompare@fsu.edu
Model Country Ethiopia
Data Available Report/paper only
Developer Email msewinet@yahoo.com; akeshari@hotmail.com
Dominant Geology Unconsolidated sediments
Developer Country India; Ethiopia
Publication Title GIS-Coupled Numerical Modeling for Sustainable Groundwater Development: Case Study of Aynalem Well Field, Ethiopia
Original Developer No
Additional Information N/A
Integration or Coupling None of the above
Evaluation or Calibration Static water levels
Geologic Data Availability No

How to Cite

GroMoPo, K. Compare (2023). GroMoPo Metadata for Aynalem Well Field model, HydroShare, http://www.hydroshare.org/resource/2d99cef562824a6c9f6d574ea2c89693

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

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

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