Harnessing Data Engineering for Optimizing Blue-Green Infrastructure

Abstract

This chapter investigates the critical role of Data Engineering in the advancement and optimization of Blue-Green Infrastructure (BGI), a sustainable urban development strategy that integrates natural ecosystems with built environments to address urban challenges. Data Engineering facilitates the collection, processing, and analysis of vast amounts of environmental and infrastructural data, enabling more informed decision-making and the creation of more resilient urban spaces. Through the application of data pipelines, real-time analytics, and predictive modeling, Data Engineering supports the efficient management of resources, such as water and vegetation, within BGI frameworks. This chapter explores the various data engineering techniques that enhance BGI, including smart sensor networks for monitoring environmental conditions, data-driven flood risk assessment, and the optimization of green spaces for improved air quality and biodiversity.