Geohazards, such as rock avalanches, landslides and debris flows, are commonly recoganized as the slow-to-rapid gravitationally-driven processes that typically occur in mountain regions, such as Alps in Europe, Himalaya in Asia, Rocky in North Americas and Snowy in Australia, possessing potential hazards societies. With the advancement of computer science, numerical simulations of geohazards have become crucial in the modern geomechanics and geotechnical engineering. The fragmentation of current research into local national projects often falls short in comprehensive understanding of the evolution mechanisms. This gap results in a grey area in modern numerical methods for high-fidelity simulations, limiting accessibility for both scientific researchers and engineering practitioners. MONUGEO brings together the complementary expertise of our consortium members to develop a better understanding of triggering initiation, run-out and deposition (and/or interaction with protective obstacles) processes, and in turn to produce the ground-breaking numerical tools for the high-fidelity predictions. Our international and interdisciplinary consortium will also prefer to an integrated research approach, involving laboratory experiments, scaled centrifuge physics modelling tests, and region-scale application with geological survey. This integrated methodology will serve to validate our developed computing paradigms and numerical toolbox, and to apply them to realistic scenario.

HERCULES brings together a multidisciplinary team crossing boundaries within technology, systems thinking and society to develop a step change in the understanding and monitoring capabilities of geohazards and in turn produce ground breaking new methods to boost the resilience of current infrastructure under changing climates. The programme will undertake fundamental research to ascertain the pathways and grow our capacity to assess and predict risks due to geohazards. The proposed study will employ a range of novel research approaches across multiple scales, from the macro-scale through to the micro scale including the integration of Earth Observation techniques, laboratory investigation and by investigating the ground behaviour at the scale of soil particles experimentally using tomography and numerical techniques such as the Discrete Element Method. Our approach is unique in that the design and implementation of the technology is informed not only through the combination of laboratory and field studies, data interpretation and numerical simulations, but also coproduced through consultation with the local community. We will use crowdsourced geographic information with real-time environmental data and models to provide a decision-making framework to be adapted to local needs for the monitoring and early-warning of geozahards to improve urban resilience. The goals of the project are to: i) exchange knowledge in a multidisciplinary environment between academia and industry; ii) develop new insights, approaches and technologies that support the needs of end-users to make both the built environment and infrastructure more resilient to the increasing threat of natural hazards due to the effect of a more variable climate; iii) train Early Stage Researches (ESRs) during their secondments between Institutions who will form the next generation of researchers leading academic and industrial technological developments in this field.