An experimentally-validated thermo-hydro-mechanical theory for waste containment lining systems. Geosynthetic clay liners are engineering systems that are widely used around the world to protect groundwater from municipal, industrial and mining contaminants. The project will conduct cutting-edge experimental, theoretical and computational research leading to a major improvement in their short-term and long-term performances.
Microplastics in Landfills and Surrounding Environments. This project aims to build a risk-based framework for managing micro- and nano-plastic particles in landfills and surrounding environments. It expects to develop a new experimentally validated theory of micro/nano-plastic transport in soils, focussing on lining systems used in landfills worldwide to protect aquifers from contamination. The project will use state-of-the-art experimental, theoretical and computational approaches to generate ....Microplastics in Landfills and Surrounding Environments. This project aims to build a risk-based framework for managing micro- and nano-plastic particles in landfills and surrounding environments. It expects to develop a new experimentally validated theory of micro/nano-plastic transport in soils, focussing on lining systems used in landfills worldwide to protect aquifers from contamination. The project will use state-of-the-art experimental, theoretical and computational approaches to generate new knowledge on micro/nano-plastic fate in lining systems and their effects on the mobility of heavy metals and organic pollutants. This should provide significant benefits including safe plastic containment and groundwater protection from landfill waste, a major reservoir of plastic in the environment.Read moreRead less
Unravelling soil carbon response to warming in fire-affected ecosystems. This project aims to reveal the continental pattern of soil carbon (C) response to warming in fire-affected ecosystems across Australia and to unravel the biogeochemical mechanisms underlying fire’s role in shaping the temperature sensitivity of soil respiration. Fire has modified over 40% of the Earth’s land surface and wildfire frequency is predicted to increase under global warming. This project expects to generate new k ....Unravelling soil carbon response to warming in fire-affected ecosystems. This project aims to reveal the continental pattern of soil carbon (C) response to warming in fire-affected ecosystems across Australia and to unravel the biogeochemical mechanisms underlying fire’s role in shaping the temperature sensitivity of soil respiration. Fire has modified over 40% of the Earth’s land surface and wildfire frequency is predicted to increase under global warming. This project expects to generate new knowledge on how fire influences soil-to-atmosphere C fluxes in a warmer climate using a multi-disciplinary approach. Expected outcomes include an enhanced capacity to predict the terrestrial ecosystem-to-atmosphere C fluxes and their feedbacks to climate under increasing frequency of fire using Earth-system models. Read moreRead less
Building insights of our largest terrestrial carbon sink: rangelands soils. Rangelands soils represent Australia’s largest carbon sink. Yet, little is known about their potential for carbon sequestration or their vulnerability to climate and environmental change. This project leverages investments in national terrestrial observation platforms and integrates previous research outputs to develop new methods to measure and build understanding of soil carbon composition and dynamics in rangeland eco ....Building insights of our largest terrestrial carbon sink: rangelands soils. Rangelands soils represent Australia’s largest carbon sink. Yet, little is known about their potential for carbon sequestration or their vulnerability to climate and environmental change. This project leverages investments in national terrestrial observation platforms and integrates previous research outputs to develop new methods to measure and build understanding of soil carbon composition and dynamics in rangeland ecosystems. Under a framework that connects detailed measurements and small-scale processes, with machine-learning, data-model assimilation and large-scale next-generation biogeochemical modelling, it’ll allow more accurate predictions of soil carbon change and better decision-making to guide sustainable rangelands management.Read moreRead less