CONTENTS

FORESEE Project Introduction Video

Work Package 2: Data acquisition, collection, integration and management system - Telespazio UK

Work Package 3: Adaptation Strategies for the Transition towards Sustainable Drainage Systems - CEMOSA

Interview with Federico Di Gennaro from AISCAT

Work Package 8: Facilitating market deployment of FORESEE results through standardization - ERF

Interview with David Delgado from FERROVIAL

Image: Skyline of Dubai, United Arab Emirates; Photography by Ling Tang

Text by: Erlinda Biescas and Michael Williams (Telespazio UK)

The main goal of Work Package 2 is the integration of both (in situ) terrestrial and satellite sensing systems for the monitoring of key infrastructures located in risk prone areas (earthquakes landslides, floods and extreme weather), featuring also a hierarchical approach to study asset instability by using a GIS tool that ranks the vulnerability of sites and converts that to failure risk. Telespazio UK (TPZ UK) leads this WP and developed the tasks related with satellite data collection and analysis. Other partners of this WP are the University of Cantabria, the University of Edinburgh, RINA Consulting, Tecnalia and WPS.

The first three tasks of WP2 have been completed, while tasks four and five are ongoing. In task one, TPZ UK produced a historical background InSAR analysis using low resolution wide area satellite images with a measurement point every 50 m2 over central Italy. The radar satellite used was Sentinel-1, which continuously captures images over Europe.

In task two, the University of Cantabria developed hotspot risk mapping and impact ranking. The hotspot analysis identified areas of significant ground motion and the impact ranking prioritised areas of high vulnerability of disruption caused by extreme natural events. Using an empirical risk analysis using a GIS based multi criteria decision making tool, surface movement from satellites, regional data and rainfall data, elevation, geology, geotechnics, land cover and lithology was used to identify vulnerable areas to climate related hazards.

In task three, TPZ UK produced InSAR analysis using high resolution COSMO-SkyMed with a measurement point every 3 m2. The area of analysis was a subsection of Naples to Bari (Italy) A16 Highway, named Case Study #2. In addition, RINA Consulting collected in-situ data (inclinometers and piezometers) over the area. The combination of both kinds of data along the target area allowed the characterisation of the prevailing dynamic and environmental nature and behaviour of the site.

The goal of the forth task, developed by the University of Edinburgh, is to generate a virtual platform for asset failure prediction. Currently, a slope stability model that predicts pore pressure leading to landslides failure using certain soil parameters and precipitation rates is being adapted to use InSAR measurements. The next steps in this task is to assimilate environmental information coming from satellite data and to develop statistical methods to determine the confidence in the models predictions.

TPZ UK is currently working in the fifth task, the goal of which is to implement structural health monitoring (SHM) for risk assessment of critical assets using the data collected in the second task and the development of a Situational Awareness System (SAS) notification tool. The main function of the SAS tool is the 3D visualisation of the failure points within a structure and to issue failure alerts when observed or predicted structural motion exceeds a critical threshold for the asset. The Satellite – Structural Health Monitoring (S-SHM) tool ingests in situ structural data, InSAR data and the landslide prediction model outputs. Currently, the tool development is ongoing, the in situ data, landslide failure prediction and InSAR data have been integrated. The next steps are the integration of the data into the asset BIM (Building Information Modelling), the development of the alert system based on critical motion and the 3D visualisation tool.

Image by: NASA

Text by: Jose Solís Hernández

The current paradigm of drainage and water management systems is clearly unsustainable due to various factors such as the breakage of the natural water cycle by infrastructures such as railways, roads or urbanised areas characterised by high impervious surfaces. The situation is even more complex because of the effects of climate change which are leading, for instance, to more intense raining periods followed by remarkably dry seasons. Under these circumstances a new paradigm of drainage systems for infrastructures is to be developed.

In the context of Foresee, CEMOSA is responsible for the development of adaptation strategies focused on the transition from traditional drainage systems to the new paradigm for sustainable drainage systems. These developments have been carried out in two stages: the analysis of the available drainage solutions and the generation of adaptation methodologies.

During the first stage, CEMOSA has performed an exhaustive analysis of the main conventional drainage systems used in infrastructures, including surface and groundwater drainage systems. Furthermore, a portfolio of sustainable drainage techniques to allow for runoff attenuation and mitigation, pollutants reduction and amenity construction has been considered and analysed. These techniques are grouped into two main clusters: non-structural measures, related to legislation or maintenance, and structural measures, which manage the run-off using physical elements. As an output of this stage, a multi-objective analysis of the various techniques has been performed and a catalogue of sustainable drainage systems has been compiled.

In the second stage of this study, a set of adaptation strategies for drainage systems is being developed, considering both the hydrological and the hydraulic perspective. From the hydrological point of view, the objective is to improve the predictions on future precipitation patters, including extreme events. From the hydraulics perspective, the objective is to support and improve the design and construction guidelines for sustainable drainage systems, where several tools including Storm Water Management Model (SWMM) and MicroDrainage (or equivalent software) are being used.

As a result, a methodology to generate updated climate models oriented towards the sustainable design and construction of infrastructures has been developed. The methodology follows four stages, as shown in the figure:

• Stage 1: Problem Characterisation. Definition of the specific requirements and data sources to be used in the model.
• Stage 2: Data processing. Preparation and cleaning of the information and data to be used in the analysis.
• Stage 3: Stochastic generation. Application of a weather generator to compute adapted weather time series, including variables such as precipitation or temperature.
• Stage 4: IDF analysis. The last stage is related to an Intensity-Duration-Frequency (IDF) analysis from the synthetic data obtained in stage 3

Finally, this methodology and all the adaptation strategies developed by CEMOSA are being implemented in three cases of study related to roads, railways and hubs, as shown in the example provided in the figure.

For further information, please contact Noemi Jiménez Redondo (noemi.jimenez@cemosa.es) or Jose Solís Hernández (jose.solis@cemosa.es).

Image: 25 de Abril Bridge in Lisbon, Portugal; Photography by: Svetlana Gumerova