2 min readfrom Frontiers in Marine Science | New and Recent Articles

Assessment of coastal vulnerability to sea level rise: a case study of the Kenyan coastline

Our take

Kenya's 640 km coastline is increasingly vulnerable to the impacts of sea-level rise, yet a comprehensive assessment that integrates both physical and socioeconomic factors has been lacking. This study addresses this crucial gap by introducing the first GIS-based Coastal Vulnerability Index (CVI) at a national scale, utilizing solely open-access data. By analyzing 7,555 shoreline segments with multiple indicators, we reveal that 31.7% of these segments are classified as High or Very High vulnerability.
Assessment of coastal vulnerability to sea level rise: a case study of the Kenyan coastline

The comprehensive assessment of Kenya's coastal vulnerability to sea level rise represents a significant advancement in ocean intelligence and climate indicators. By developing the first GIS-based Coastal Vulnerability Index at national scale using exclusively open-access data, researchers have established a replicable framework for evidence-based coastal adaptation planning. This study comes at a critical time as geopolitical tensions in maritime regions like the Black Sea Russia Cages Black Sea Fleet 'Grachonok' Patrol Boats After Repeated Ukrainian Drone Strikes and strategic waterways in the Indian Ocean India's Brahmos Missile Production Collapse Threatens Shift Of Power Balance In Indian Ocean face increasing environmental and security pressures. The open-data approach ensures accessibility for researchers and policymakers in data-constrained regions, supporting global collaboration in addressing coastal vulnerabilities. Empirical studies like this one provide the measurable, validated data needed to inform policy decisions that balance development needs with environmental protection.

The methodology demonstrates rigorous scientific precision, dividing Kenya's 640 km coastline into 7,555 segments of approximately 200 m each, and analyzing eight physical indicators and three socioeconomic indicators. By weighting these factors using the Analytical Hierarchy Process and normalizing them to a 0-100 scale, researchers have created a robust composite measure of vulnerability. The finding that 31.7% of coastal segments fall in the High or Very High CVI class, with particularly vulnerable areas in the Kilifi-Malindi corridor and near Mombasa urban core, provides spatially explicit data that can directly inform targeted adaptation strategies. The at-risk inventory of 46 heritage sites, hotel facilities, and biodiversity areas with a mean CVI of 74.14 underscores the tangible stakes of these assessments for cultural preservation and economic stability. This integrated approach to vulnerability assessment represents a significant step forward from previous studies that focused on either physical or socioeconomic factors in isolation.

What makes this study particularly valuable is the revelation that socioeconomic vulnerability often exceeds physical vulnerability along Kenya's coastline. This insight shifts the focus from purely environmental factors to the critical role of human exposure in driving coastal risk. The integrated data ecosystem approach recognizes that effective coastal management must account for both natural processes and human systems. Such comprehensive vulnerability assessments are essential for developing calibrated adaptation strategies that protect both ecological integrity and human communities. As the U.S. Imposes Fresh Sanctions On Iranian Oil Exports To China Ahead Of Trump-Xi Talks, highlighting the interconnectedness of maritime economies and security, the importance of understanding coastal vulnerabilities becomes even more apparent for regional stability. The study's emphasis on open-access data also democratizes scientific knowledge, enabling local communities to participate in adaptation planning processes.

Looking forward, this study establishes a benchmark for future longitudinal monitoring of Kenya's coastal vulnerability. As sea levels continue to rise, the open-access framework provides a baseline against which changes can be measured, enabling adaptive management strategies that evolve with emerging challenges. The transferable methodology suggests potential applications across East Africa and other data-constrained regions facing similar coastal threats. The question now becomes how this scientific knowledge will translate into concrete policy actions and community-level interventions that balance development priorities with climate resilience. Understanding these complex coastal systems is the first step toward protecting them—a principle that applies equally to Kenya's shores as it does to maritime security and economic stability across the global ocean.

IntroductionKenya's 640 km coastline faces escalating exposure to sea-level rise, yet no integrated, spatially explicit assessment combining physical and socioeconomic vulnerability exists for the entire national coastline. This study addresses that gap by developing the first GIS-based Coastal Vulnerability Index (CVI) at national scale using exclusively open-access data.MethodsThe shoreline was divided into 7,555 segments of approximately 200 m, each attributed with eight physical indicators (including shoreline change rate, coastal elevation, geomorphology, bathymetry, and sea-level rise trend) and three socioeconomic indicators (population density, land use/land cover, and distance to coastal infrastructure). Indicators were ranked on a 1–5 ordinal scale and weighted using the Analytical Hierarchy Process (CR = 0.046 and 0.033 for physical and socioeconomic sets respectively), then aggregated into a Physical Vulnerability Index (PVI) and Socioeconomic Vulnerability Index (SoVI), each normalised to a 0–100 scale and combined into the final CVI.ResultsOverall, 31.7% of coastal segments fall in the High or Very High CVI class (mean CVI = 51.66). The most vulnerable stretches are concentrated along the Kilifi–Malindi corridor, where active erosion and sandy geomorphology coincide with elevated socioeconomic exposure, and near the Mombasa urban core. An at-risk inventory of 46 heritage sites, hotel facilities, and biodiversity areas shows that all mapped heritage sites fall in the High or Very High CVI class, with a mean CVI of 74.14.DiscussionThe elevated socioeconomic vulnerability relative to physical vulnerability underscores the role of human exposure in driving composite coastal risk in Kenya. The open-data framework developed here provides a transferable, replicable baseline for evidence-based coastal adaptation planning in Kenya and comparable data-constrained regions of East Africa.

Read on the original site

Open the publisher's page for the full experience

View original article