1) Assessing groundwater recharge dynamics using remote sensing and isotopic tracers in arid regions 2) Integrated geohazard susceptibility mapping for landslides and seismic-induced ground failures 3) Hydrogeochemical evolution and groundwater quality assessment in coastal aquifers under saline intrusion 4) 3D seismic velocity model tuning using ambient noise tomography for crustal structure 5) Characterization of mineral dust aerosol transport and deposition using HYSPLIT and satellite data 6) Urban flood risk assessment under climate variability using rainfall-runoff and hydraulic modeling 7) Paleoenvironmental reconstruction of a river basin from sediment cores and grain-size analysis 8) Landslide early warning system using rainfall thresholds, slope stability modeling, and telemetry 9) Geothermal gradient and heat flow assessment in a sedimentary basin for exploration 10) Remote sensing-based soil moisture and evapotranspiration mapping for agriculture and drought monitoring

Project Abstract

This study integrates remote sensing, isotopic tracers, geophysical imaging, hydrogeochemistry, and hydrological modeling to advance understanding of groundwater recharge dynamics, geohazards, coastal salinization, crustal structure, mineral dust transport, urban flood risk, paleoenvironmental reconstruction, landslide early warning, geothermal potential, and remote sensing-based soil moisture and evapotranspiration in arid to semi-arid and coastal regions. The groundwater component combines multi-temporal SAR, optical remote sensing, and isotopic analyses (e.g., stable isotopes of hydrogen and oxygen, and tritium where available) to quantify recharge fluxes, identify recharge zones, and discern evapotranspiration losses across heterogeneous lithologies. A 3D ambient noise tomography workflow is applied to noisy seismic data to refine crustal velocity models, improving lithology delineation and fault imaging in seismically active areas. Hydrogeochemical evolution is traced through major ion chemistry, trace elements, and isotopic signatures to evaluate groundwater–surface water interactions, intrusion pathways, and seawater mixing in coastal aquifers under saline influence; contaminant mobility and residence times are assessed to inform water quality management. In parallel, attribution of mineral dust transport and deposition is conducted using HYSPLIT simulations constrained by aerosol optical depth from satellite retrievals, with back-trajectory analyses to identify source regions and seasonal transport pathways, informing dust impacts on air quality, soil productivity, and geomorphology. Urban flood risk is modeled via rainfall-runoff simulations and high-resolution hydraulic modeling under climate variability scenarios, incorporating impervious surface fraction, drainage network efficiency, and groundwater-surface water interactions to produce probabilistic flood extents and inform mitigation planning. Paleoenvironmental reconstruction leverages sediment cores, grain-size distribution, mineral magnetism, and proxies for paleohydrology to reconstruct past basin hydrology and climate, providing context for current recharge and drought vulnerability. A comprehensive landslide framework integrates rainfall thresholds, slope stability modeling, and telemetry data to develop an early warning system, coupled with remote sensing-based landslide inventory and susceptibility mapping. Geothermal gradient and heat flow assessments exploit borehole data and thermal modeling to estimate thermoelectric potential and geothermal resources in sedimentary basins. Finally, the study presents an integrated framework for remote sensing-based soil moisture and evapotranspiration mapping to support agricultural planning and drought monitoring, validating remotely sensed products with in-situ soil moisture sensors and eddy covariance data. The synthesis of multidisciplinary data enables cross-validation of recharge estimates, hazard delineation, and resource availability, while providing decision-support tools for water resource management, hazard mitigation, and climate adaptation in arid and coastal environments. The methodological innovations include harmonized data processing workflows across disciplines, ensemble uncertainty quantification, and open-access dissemination of datasets and models to stakeholders and the scholarly community. This integrative approach aims to deliver transferable insights into groundwater sustainability, geohazard resilience, and environmental stewardship under evolving climatic conditions.

Project Overview

What This Project Is About

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A practical exploration of how groundwater, hazards, water quality, and environmental changes interact in different settings using simple tools like maps, water samples, and basic simulations. Each topic focuses on how to measure, model, and understand a groundwater or water-related problem in a real-world arid, coastal, urban, or basin context.

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The Problem It Addresses

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Many regions face water scarcity, natural hazards, pollution, and changing climate. This project helps identify risks, track changes, and suggest practical ways to protect water supplies and communities, using accessible methods and data.

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Objectives of the Project

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1. Identify the main water-related challenge for the chosen topic.
2. Explain how data like maps, samples, and simple models can reveal trends.
3. Propose practical steps or tools to reduce risk or improve water management.
4. Develop a clear, student-friendly report with visuals.

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What You Will Do Step by Step

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1) Select a topic and describe its local context.

2) Gather or access basic data (maps, rainfall, water samples, or simple model outputs).

3) Analyze with straightforward methods (trend checks, simple comparisons, basic interpretation).

4) Create visuals (maps or charts) to illustrate findings.

5) Discuss implications and potential actions for stakeholders.

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Expected Outcome

A concise report showing the key findings, a simple set of recommendations, and potential directions for future work. The work will help build skills in data handling, interpretation, and communicating science to non-experts.