A unified approach for estimating coastal flood risk. The project aims to develop a unified approach to quantifying flood risk. Because flooding is caused by multiple mechanisms such as extreme rainfall, storm surge and astronomical tide, accurately estimating flood levels in the Australian coastal zone is challenging. By quantifying flood risk in terms of these mechanisms, the project is expected to provide reliable flood risk estimates for both historical settings and future climate scenarios. ....A unified approach for estimating coastal flood risk. The project aims to develop a unified approach to quantifying flood risk. Because flooding is caused by multiple mechanisms such as extreme rainfall, storm surge and astronomical tide, accurately estimating flood levels in the Australian coastal zone is challenging. By quantifying flood risk in terms of these mechanisms, the project is expected to provide reliable flood risk estimates for both historical settings and future climate scenarios. The improved estimation should enable Australian water agencies and policy-makers to effectively design defence infrastructure (e.g. drainage systems) and urban planning policies to adapt to future flood risk.Read moreRead less
A spatial extremes framework for predicting subdaily rainfall intensity. Climate change is causing extreme rainfall intensity to increase globally. The greatest increases occur for short-duration storms lasting up to several hours, bringing a heightened risk of flash-floods that are often extremely hazardous due to their rapid onset. The project aims to develop a new spatial extreme value framework to predict extreme rainfall patterns, using insights on future changes to rainfall triggering mech ....A spatial extremes framework for predicting subdaily rainfall intensity. Climate change is causing extreme rainfall intensity to increase globally. The greatest increases occur for short-duration storms lasting up to several hours, bringing a heightened risk of flash-floods that are often extremely hazardous due to their rapid onset. The project aims to develop a new spatial extreme value framework to predict extreme rainfall patterns, using insights on future changes to rainfall triggering mechanisms (e.g. convective, frontal or orographic). The research aims to provide projections in the form of intensity-frequency-duration curves, areal reduction factors and antecedent rainfall depths. Engineers are expected to use this information to design infrastructure and urban planning policies to adapt to future flood risk.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180101593
Funder
Australian Research Council
Funding Amount
$359,446.00
Summary
Seismic evaluation of non-structural unreinforced masonry components. This project aims to reduce earthquake risk posed by unreinforced masonry buildings. The project will use integrated experimental and numerical research to understand the dynamic interaction between timber floors, roofs and walls. New knowledge about this interaction will enable economical and safe earthquake design methods to be used for unreinforced masonry buildings.
Internal soil erosion: from grain-scale insights to large-scale predictions. This project aims to further the understanding of internal soil erosion across different spatial and temporal scales. Internal soil erosion is the most frequent cause of failures of water retaining structures. An approach combining advanced X-ray techniques with particle based methods will be developed to observe, analyse and link different material properties and external conditions governing the erosion process. This ....Internal soil erosion: from grain-scale insights to large-scale predictions. This project aims to further the understanding of internal soil erosion across different spatial and temporal scales. Internal soil erosion is the most frequent cause of failures of water retaining structures. An approach combining advanced X-ray techniques with particle based methods will be developed to observe, analyse and link different material properties and external conditions governing the erosion process. This will lead to better criteria for soil erosion and numerical tools for field scale failure analysis and risk assessments. The expected outcomes of this project include enhanced capability to assess the integrity and stability of earth structures and better design criteria against erosion.Read moreRead less
Robust streamflow predictions by improving the identification of hydrological model structure. This project aims to provide Australian environmental agencies, design engineers and policy-makers with robust methods that better utilise observed environmental data and process understanding to produce hydrological models with stronger scientific basis and improved operational predictive ability in gauged and ungauged catchments.
A new strategy for design flood estimation in a nonstationary climate. Evidence suggests that global warming will result in an increase in the frequency and/or magnitude of heavy rainfall, leading to flooding with potentially devastating consequences. This study provides a renewed focus on design flood estimation that takes into account a changing climate where assumptions of stationarity are no longer tenable.