Dr Domenico Bau

School of Mechanical, Aerospace and Civil Engineering

Senior Lecturer

CIV Domenico Bau
Profile picture of CIV Domenico Bau
d.bau@sheffield.ac.uk
+44 114 222 0253

Full contact details

Dr Domenico Bau
School of Mechanical, Aerospace and Civil Engineering
Room F115
Sir Frederick Mappin Building (Broad Lane Building)
Mappin Street
Sheffield
S1 3JD
Profile

My research helps to prevent water pollution and protect us from contaminants

Dr Domenico Bau


Domenico’s research explores computational methods of modelling the movement of fluids in the subsurface, such as groundwater, oil and gas, contaminant transport (including chemicals within fluids), and the mechanics of soil and fluid formations.

By understanding the characterisation of the area below the surface of the earth, its structure and how it behaves, his work can help prevent water pollution, protect us from contaminants, and reduce uncertainty and risk in the subsurface management.

Domenico has an undergraduate degree in Structural Engineering from the University of Padua, Italy, and a PhD in Environmental Engineering from Michigan Technological University, USA. For his undergraduate and graduate studies, he developed numerical models to assess the environmental impact associated with the development of gas reservoirs and aquifers, and he designed remediation systems for the cleanup of contaminated groundwater plumes.

In his academic career, he has led research projects focusing on the design of systems for carbon geological storage, management of water supply from integrated aquifer-catchment systems, and characterisation of geomechanical parameters of gas reservoirs using land-surface deformation data.

Domenico joined the Department in 2014. His current research concentrates on subsurface hydrology, with a particular focus on: the development and use of computer models to simulate groundwater flow and reactive contaminant transport, as well as deformation in geologic formations due to fluid extraction.

He also focuses on the development of computational methods for characterising hydrogeological properties using field observations.


Publications

Books

  • Bahrawi J, Fontane DG & Bau D (2010) Stochastic Analysis of the Impacts of Rainfall on Groundwater Recharge. VDM Verlag. RIS download Bibtex download

Journal articles

Chapters

Conference proceedings papers

Other

Preprints

Research group

Geotechnical Engineering

Groundwater Protection and Restoration

Grants

Efficient Surrogate Modelling for Sustainable Management of Complex Seawater Intrusion-Impacted Aquifers

This project is a collaboration between the Universities of Sheffield (UK), Texas at El Paso (USA), and South Florida (USA), and addresses the sustainable management of water resources in coastal regions with diverse geological, hydro-technical and governance settings under treats of climate change, sea level rise (SLR) and seawater intrusion (SWI).

View all research projects

PhD opportunities

Developing Efficient Model Surrogates For Water Resources And Subsurface Contaminant Management

The goal of this project is to investigate the use of model emulators (surrogates), that is, reduced versions of the full numerical model that require a fraction of its computational cost. Once developed, surrogates can be used to narrow down uncertainties affecting the full model response and derive better calibrated models in relation to the limited knowledge available.


Geomechanical Inverse Modelling And Uncertainty Quantification

The aim of this project is is to develop novel model surrogate techniques within data assimilation frameworks for estimation of the parameters of geomechanical simulators. The focus will be on data-driven surrogates, such as Gaussian process estimators, where the dimension of the parameter space is reduced by projecting it into a smaller subspace using principal component methods, such as the Karhunen-Loeve expansion.


Understanding And Quantifying The Risk Associated With Subsurface Fluid Injection

In this project, the students will learn to use either analytical or semi-analytical flow models, developed to simulate the spatio-temporal distribution of fluid ovepressure induced by CGS and the fluid leakage.


If you're interested in one of these projects, or would like to self-propose a project, please contact Domenico at the above email. Current PhD opportunities in the department can be viewed here.