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GroMoPo Metadata for Gilgel-Abay Upper Blue Nile model


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Created: Feb 07, 2023 at 2:26 p.m.
Last updated: Feb 07, 2023 at 2:27 p.m.
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Abstract

Groundwater (GW) is the main source of domestic water supply in Ethiopia (85%), however, despite widespread acknowledgement of its potential for resource-based development and climate change adaptation, the sector is still quite under-investigated. This is mainly due to the scarcity of in situ data, which are essential to building robust impact models. To address this, we developed a fine-resolution (500 m) GW model using MODFLOW-NWT, focusing on the Gilgel-Abay Catchment located in the Upper Blue Nile basin, fed with daily distributed input forcings of recharge and streamflow simulated by the Coupled Routing and Excess Storage (CREST) hydrological model. The model was calibrated against instantaneous observation records of GW table for 38 historical wells, and validated at selected sites using time series data collected from the Citizen Science Initiative (PIRE CSI), and the Innovation Lab for Small Scale Irrigation (ILSSI) project. An RMSE of 14.4 m (1.8% of range) was achieved for calibration and same for validation was 18.21 m and 15.76 mat the PIRE CSI and ILSSI sites, respectively. The findings of this research indicate substantial physical GW resource availability in the Gilgel-Abay region. Moreover, we expect the model to have multiscale future applications. These include obtaining dynamically downscaled boundary conditions for a local-scale GW model, to be developed in the next phase of our research. Further, an upscaled version of this model to encompass the entire Tana Basin would be developed to simulate lake-aquifer interactions. Finally, the approach of this research combining different types of datasets (e.g., reanalysis products, satellite data, citizen science data, etc.) is adaptable to other global data-scarce regions. Moreover, the method overcomes specific challenges associated to in situ data scarcity, limited knowledge on GW resources availability in the area, interaction with complex boundary conditions, and sensitivity under meteorological boundary forcings.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Ethiopia
North Latitude
11.8000°
East Longitude
37.4000°
South Latitude
10.9000°
West Longitude
36.7000°

Content

Additional Metadata

Name Value
DOI 10.1016/j.jhydrol.2020.125214
Depth 2040
Scale < 10 000 km²
Layers 2-5 layers
Purpose groundwater resources
GroMoPo_ID 47
IsVerified True
Model Code MODFLOW
Model Link https://doi.org/10.1016/j.jhydrol.2020.125214
Model Time 1979-2018
Model Year 2020
Model Authors F.K. Khadim, Z. Dokou, R. Lazin, S. Moges, A. C. Bagtzoglou, E. Anagnostou
Model Country Ethiopia
Data Available report/paper only;input and output publicly available
Developer Email zoi.dokou@csus.edu
Dominant Geology Model focuses on multiple geologic materials
Developer Country US
Publication Title Groundwater modeling in data scarce aquifers: The case of Gilgel-Abay, Upper Blue Nile, Ethiopia
Original Developer No
Additional Information The model is forced with global dataset of precipitation (IMERG)
Integration or Coupling Surface water
Evaluation or Calibration static water levels;dynamic water levels
Geologic Data Availability

How to Cite

GroMoPo, A. Quichimbo (2023). GroMoPo Metadata for Gilgel-Abay Upper Blue Nile model, HydroShare, http://www.hydroshare.org/resource/0ea3151382cb4e66a87c59eec0948a5a

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

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

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