Constructed Technosols play a pivotal role in the efficacy of blue-green infrastructure (BGI), 
with their hydraulic properties being crucial for the optimal performance of BGI components like 
green roofs and infiltration swales. This project focuses on the development of predictive 
algorithms capable of forecasting the hydraulic and thermal characteristics of substrate mixtures 
used in BGI based on a large experimental study. By utilizing both primary and recycled 
materials, including a variety of mineral and organic components, the study aims to establish a 
predictive model that accounts for the individual properties of input materials, their proportional 
composition, and the subsequent processes post-installation. The expected result is a better 
understanding of the influence of the components on the resulting mixture characteristics.