Hydrogeological Services

 - Hydrogeological characterization: In-depth analysis of aquifer systems, incorporating pumping tests, to estimate key hydrogeological parameters such as porosity, transmissivity, hydraulic conductivity, specific storage, and specific yield.

 - Groundwater geochemistry and quality assessment: Advanced laboratory analysis and in-situ testing to evaluate groundwater quality, identify geochemical signatures, and detect potential contaminants.

 - Spring development and management: Hydrogeological investigation, design, and implementation of spring protection and management strategies to ensure sustainable yield and water quality.

 - Groundwater flow and contaminant transport modeling: Application of numerical models, such as MODFLOW and MT3D, to simulate groundwater flow, contaminant transport, and fate, informing remediation strategies and risk assessment.

 - Hydraulic head monitoring: Installation of piezometers and pressure transducers to measure hydraulic head, track aquifer dynamics, and inform groundwater management decisions.

 - Groundwater development and management planning: Integration of hydrogeological, geochemical, and hydrological data to develop comprehensive management plans for micro-catchments, watersheds, sub-basins, and basins, ensuring sustainable groundwater resources.

- High-resolution hydrogeological mapping: Integration of geological, geophysical, and remote sensing data to delineate aquifer systems, identify recharge zones, and characterize subsurface flow mechanisms.

- Aquifer characterization: Application of advanced analytical techniques, such as pumping test analysis and slug test analysis, to estimate hydrogeological parameters, including transmissivity, hydraulic conductivity, and specific storage.

- Groundwater flow modeling: Utilization of numerical models, such as MODFLOW and FEFLOW, to simulate groundwater flow, contaminant transport, and aquifer recharge, enabling predictive insights into groundwater availability and distribution.

- Hydrogeological data integration: Fusion of geological, geophysical, and hydrological data to generate 3D hydrogeological models, informing groundwater management and exploration.

- Advanced spatial analysis: Application of machine learning algorithms and spatial statistics to identify patterns, trends, and correlations within complex hydrogeological datasets.

- Hydrogeological risk assessment: Integration of hydrogeological, geochemical, and hydrological data to evaluate risks associated with groundwater contamination, depletion, and degradation.

- Hydrogeological mapping for water resources management: Development of high-resolution hydrogeological maps to inform water resources management, planning, and decision-making.