Research Assistant at AGEO ageo-270426

Project Description:

Runoff Harvesting (RH) presents a viable solution to mitigate water scarcity in drought-prone regions, particularly in arid areas like Oman. This study aims to identify the most effective RH methods for Northern Oman to enhance water availability. By analyzing historical data from remote sensing (RS) and ground-based gauges, along with contemporary trends, the research seeks to understand flooding patterns in the region. Additionally, it evaluates various RH techniques, including surface runoff collection, retention ponds, and infiltration basins. By estimating the potential water volume from flood events and assessing technical feasibility, this study aims to determine the most suitable RH strategies for Northern Oman’s climatic and geomorphological conditions. Emphasizing stakeholder engagement, the research ensures alignment with local needs and priorities, facilitating the successful implementation of selected RH methods. Ultimately, this study contributes to sustainable water management in Northern Oman and offers insights applicable to other arid regions worldwide.

RA Duties and Responsibilities:

• Assist in collecting and organizing hydrometeorological and groundwater data (precipitation, discharge, groundwater levels, water quality). 

• Support the development of: 

• Hydrological models (e.g., HEC‑RAS, HEC‑HMS) 

• Groundwater flow models (MODFLOW or FloPy) 

• GIS Layers for Multi Criteria Decision Analysis 

• Process, clean, and analyze datasets using Python and GIS tools. 

• Conduct literature reviews related to hydrology, groundwater recharge, and runoff harvesting. 

• Assist in generating maps, charts, and figures for project deliverables. 

• Support preparation of numerical modelling outputs for different runoff harvesting scenarios. 

• Participate in field visits, sample collection, and data logging when needed. 

• Contribute to writing technical reports and deliverables