This paper presents a holistic approach to sustainable urban brownfield redevelopment where specific focus is put on the integration of a multitude of subsurface qualities in the early phases of the urban redevelopment process, i.e. in the initiative and plan phases.
Spatial surface and subsurface water quality observations indicate that water from a distance of up to 56 m contributed runoff from the hillslope during storm events.
To this purpose a modeling procedure was developed to evaluate and predict the surface and subsurface water quality and quantity as affected by anthropogenic activities in the Bonello watershed (Italy).
The functional behaviour of deep hole machining and the correlation between the machined surface quality, subsurface layer deformation and the machining conditions are investigated in this paper, together with the drilling mechanism.
This shows that state of the art stochastic methods need to be supported by abundant and high-quality subsurface data.
Test results reveal that fatigue cracks are initiated from the weakest surface phase and the damage preferentially follows a competition mechanism between the surface quality and subsurface inclusions.
Surface drip performed slightly better than the subsurface drip considering yield and quality of eggplants.
