Thomas Willis Email & Phone Number

Ilkley, Gb

Oxford, England, United Kingdom

Leeds

Working in the School of Geography, researching the development and application of hydrological and hydraulic models to understand the impact of hydraulic extremes on society and the environment-Modelling and mapping the malaria vector through hydraulic models in Zambia-Working with local partnership groups to develop tools to assess NFM interventions in Calderdale- Working with the Met Office to developing online climate service tools to communicate the impact of climate change on water supplies for the water resource sector in China-Developing a spatial distributed version of TOPMODEL for application in assessing land management change- Working to create a surface water forecast system

Leeds

Working with 1D-2D models in Flood Modeller Pro, ESTRY, and TUFLOW, undertaking model reviews, comparison work, FRA's and developing model results for flood defence appraisals.

Leeds, United Kingdom

Working with 1D-2D models in Flood Modeller Pro and 2D models in TUFLOW for Flood Risk Assessments and to create modelling results to develop a business case for new tidal flood defences

Skipton

This position is a technically focused role, and has evolved during my time. Initially responsible for developing components to probabilistic models, such as Event Sets (10,000 years of simulated hazard data) and a tropical cyclone induced rainfall model. Broadly, this involves developing scripts and tools in R and Python to analysis data, model, and create model inputs, for data sets including a hurricane catastrophe model for the Antillies, a global flood event set and for flood footprints (single flood events) hazard datasets.As a hydraulic technical lead and team leader of the Mapping R&D team, I have overseen improvements in the setup of models, from both an efficiency point of view and improving the levels of process representation in broad scale hazard maps, which are created through the use of 2D SWE Hydraulic model. This role also involved the analysis of the previous mapping approaches, and sensitivity analysis of the input parameters to determine the most appropriate model setups. Currently leading the development of European Hazard Maps, which aims to automate the setup of models for the creation of hazard maps.

School Of Civil Engineering University Of Leeds

Analysis of uncertainty in flood inundation models is typically limited to investigating the impact that input factors, such as hydrographic values, friction parameters and model domain cell size, has on model outputs. Uncertainty related to the numerical model and the computational code is often not included in this analysis, despite the number of approaches and the number of choices available in developing these tools. The level of physical representation is a key component of the computer code, where level of physical representation is defined as the number of terms included from the governing equations in the code. It also represents a potential source of uncertainty, although the significance of this relative to other inputs has yet to be determined.This research covers these issues by using the LISFLOOD code which contains several modules with varying levels of physical representation, and testing each module against a set of uncertain inputs, that are typically used in uncertainty analysis. The systematic approach is based over 3 test cases with varying hydraulic properties and controls which allow detailed uncertainty analysis without model bias impacting overall results. The research used both a Monte Carlo approach and the use of a number of sensitivity analysis approaches to quantify the results. The research further explores the relationship between risk and model output, to determine how uncertainty propagates through to higher level model results, and how well risk based approaches are at differentiating between model results from large Monte Carlo analysis.Overall, the level of physical representation was proved to be the most significant source of uncertainty. However, the results display a high level of non linearity between factors and inputs indicating that input interaction is a significant component in model results. This level of interaction changes based on the hydraulic properties of the test case, and the method of assessing the output

Shipton On Stour

Assisting with river surveys, including cross sectional data and threshold elevation values, for use in flood inundation models and topographic plans

Atherstone, Warwickshire

Topograhic Surveying of Mineral sites, Quarries and landfill sites. Completing topographic plans, quarry design and assessing volume calculations.

Doctor Of Philosophy - Phd, Hydrology And Water Resources Science

Systematic analysis of flood inundation models

Master Of Science (Msc), Surveying Engineering, Merit

Bachelor Of Science (Bsc), Geography And Earth Systems Science, 2:1

Education record