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Joexy1286/hydrogeology-portfolio

Domain:

environment and energygeospatial

Record type:

dataset
Creator:
Joe
Host:
This repository presents two interconnected groundwater studies conducted in Ghana, combining field hydrogeology, numerical modelling, and hydrogeochemical analysis. The work underpins two peer-reviewed publications and demonstrates a complete applied hydrogeology workflow from field data collection through to water quality assessment # Hydrogeology Portfolio — Ghana Groundwater Systems ### MODFLOW Contaminant Plume Modelling · Hydrogeochemical Analysis · Irrigation Quality Assessment **Joexy1286** Reservoir Geology Portfolio · CO₂ Mineralisation Portfolio --- ## Overview This repository presents two interconnected groundwater studies conducted in Ghana, combining field hydrogeology, numerical modelling, and hydrogeochemical analysis. The work underpins two peer-reviewed publications and demonstrates a complete applied hydrogeology workflow from field data collection through to water quality assessment and groundwater resource management recommendations. **Publications:** 1. Hydrogeochemical evaluation of groundwater quality in Voltaian aquifers, Kintampo South District, Ghana → doi.org 2. Groundwater quality, pollution sources, and health risk assessment, Atiwa West, Ghana → doi.org --- ## Study Areas ### Study 1 — Atiwa West Mining District (MODFLOW Plume Modelling) A contaminant plume evolution study using MODFLOW groundwater flow modelling across a 56-well network (44 domestic wells + 12 monitoring boreholes) in a mining-dominated catchment in Ghana. The model simulates groundwater abstraction and contaminant transport over 3-year time steps (365, 730, 1095 days) to assess plume migration risk to domestic water sources. ### Study 2 — Kintampo South District (Hydrogeochemistry) Hydrogeochemical characterisation of 22 groundwater samples from the Voltaian sedimentary aquifer system in the Bono East Region. The study applies Piper diagram classification, multivariate statistics (PCA, cluster analysis, Spearman correlation), PHREEQC mineral saturation modelling, and irrigation quality indices (SAR, Na%, MR, Wilcox). --- ## Workflow ``` STUDY 1 — MODFLOW PLUME MODELLING Field survey → GPS coordinates → Borehole logging → Pumping tests │ ▼ MODFLOW input: 56 wells, pumping rates (m³/s), time periods (365–1095 days) │ ▼ IDW in …

Visit

github.com

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