The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Satellite Water Investigation of Fragile Terrains - Monitoring and Managing Environmental Alterations Under Conflict and Governance Stress

Funding: SRA-MECW. Duration: 2025-2028

The Middle East faces a critical water crisis exacerbated by climate change-induced aridity, unsustainable overexploitation, weak governance, and the weaponization of water in conflicts. Rising temperatures and prolonged droughts diminish surface water, while excessive groundwater pumping depletes aquifers, causing land subsidence and socio-economic impacts like food insecurity and migration. Traditional monitoring methods are insufficient, particularly in conflict zones with fragmented data.

This project, addresses these challenges using advanced satellite remote sensing and AI. It integrates Interferometric Synthetic Aperture Radar (InSAR) data, which detects ground deformation as a proxy for groundwater changes, with radar altimetry data tracking surface water variations. AI models analyze complex surface water-groundwater feedback loops, simulate future scarcity under climate, land use, and conflict scenarios, and identify conflict impacts on water resources depletion and recovery. 

Crucially, the project views water as a Common Pool Resource and analyzes how state and non-state actors manage water resources before, during, and after conflict, assessing conflict impacts, identifying adaptation strategies, and studying water's role in conflict and post-conflict recovery under conditions of fragile governance. 

Focusing on conflict zones (Syria and Iraq) and poor governance regions (Iran), the project reconstructs hydrological baselines and quantifies conflict-driven impacts. Findings inform a web-based Decision Support System (DSS), providing data-driven strategies for resilient water management, supporting policy formulation, and aiding water diplomacy in this data-poor, contested region.

 

Research team

Research team:

Hossein Hashemi
CMES Researcher and Associate Professor at the Division of Water Resources Engineering (Department of Building and Environmental Technology, Lund University)
hossein [dot] hashemi [at] tvrl [dot] lth [dot] se (hossein[dot]hashemi[at]tvrl[dot]lth[dot]se)

Amir Naghibi
CMES Researcher and Postdoctoral Fellow at the Division of Water Resources Engineering (Department of Building and Environmental Technology, Lund University) 
seyed_amir [dot] naghibi [at] tvrl [dot] lth [dot] se (seyed_amir[dot]naghibi[at]tvrl[dot]lth[dot]se)

Alexandra Carmeno
CMES Reasearcher and Associate senior lecturer. (Department of Economic History, Lund University)
alexandra_l.cermeno@ekh.lu.se

Andrés Palacio
CMES Researcher and Associate professor at Department of Economic History, Lund University)
andres.palacio@ekh.lu.se