Abstract

The Dredging Analysis and Decision Support System (DADSS) is a comprehensive tool designed to optimize dredging operations by integrating environmental and operational data. Traditional dredging methods often suffer from inefficiencies, high costs, and inadequate planning, which can lead to significant environmental impacts and operational delays. DADSS addresses these challenges by leveraging advanced data analytics and visualization tools to enhance decision-making throughout the dredging process. The system is capable of predicting sediment behaviour, evaluating environmental impacts, and generating cost-benefit analyses to support informed project planning and execution. By promoting stakeholder collaboration and providing up-to-date information, DADSS aims to streamline dredging processes, reduce operational costs, and ensure compliance with environmental regulations. This paper outlines the objectives, methodologies, and anticipated outcomes of implementing DADSS, emphasizing its potential to transform dredging operations into more efficient and environmentally sustainable practices. Through detailed case studies and practical applications, this research aims to highlight the significance of DADSS in addressing the pressing challenges of modern dredging activities.