An AI-Driven and Digital Twin-Based Framework for Climate-Resilient and Sustainable Infrastructure Management in Palm Jumeirah: A Case Study Integrating Remote Sensing, Numerical Modeling, and Green Project Practices

As climate risks accelerate, artificial coastal megaprojects like Palm Jumeirah face mounting threats from sea-level rise, saltwater intrusion, and thermal stress, yet current infrastructure management approaches remain largely reactive and fragmented. Addressing this critical gap, the present study introduces an integrated, foresight-driven framework that combines Digital Twin (DT) systems, Artificial Intelligence (AI), remote sensing (RS), and numerical modeling to holistically manage infrastructure sustainability and climate resilience. Leveraging Building Information Modeling (BIM), Geographic Information Systems (GIS), and IoT-enabled monitoring, a real-time DT of Palm Jumeirah’s seawalls, bridges, and utilities was constructed. Remote sensing analysis using Sentinel-۲ and UAV imagery revealed a ۲.۴-meter shoreline retreat and a ۰.۱۲-point decline in NDVI over five years, confirming ecosystem degradation. Finite Element Modeling (FEM) under sea-level rise scenarios indicated a ۲۸% increase in seawall base shear and up to ۲۲ mm thermal expansion in bridge decks. AI models enhanced the system’s predictive capacity: Random Forest regression achieved an R² of ۰.۹۱ in forecasting structural degradation, while LSTM models predicted failure probabilities exceeding ۰.۶۳ in high-stress zones under RCP ۸.۵ climate scenarios. Integrated into a digital twin interface, these technologies enabled critical infrastructure zones to be identified in real time, maintenance costs to be optimized, and long-term resilience to be prioritized. The study not only offers a replicable decision-support model for vulnerable coastal cities but also advances the operationalization of green project management by embedding environmental intelligence, predictive analytics, and real-time risk visualization across the full infrastructure lifecycle.

Keywords:

Climate Resilience , Palm Jumeirah , Digital Twin , Artificial Intelligence , Remote Sensing , Green Project Management , Smart Infrastructure , Sea-Level Rise , Predictive Maintenance , Coastal Sustainability