UK economic growth, security, and sustainability are in danger of being compromised due to insufficient infrastructure supply. This partly reflects a recognised skills shortage in Engineering and the Physical Sciences. The proposed EPSRC funded Centre for Doctoral Training (CDT) aims to produce the next generation of engineers and scientists needed to meet the challenge of providing Sustainable Infrastructure Systems critical for maintaining UK competitiveness. The CDT will focus on Energy, Water, and Transport in the priority areas of National Infrastructure Systems, Sustainable Built Environment, and Water. Future Engineers and Scientists must have a wide range of transferable and technical skills and be able to collaborate at the interdisciplinary interface. Key attributes include leadership, the ability to communicate and work as a part of a large multidisciplinary network, and to think outside the box to develop creative and innovative solutions to novel problems. The CDT will be based on a cohort ethos to enhance educational efficiency by integrating best practices of traditional longitudinal top-down / bottom-up learning with innovative lateral knowledge exchange through peer-to-peer "coaching" and outreach. To inspire the next generation of engineers and scientists an outreach supply chain will link the focal student within his/her immediate cohort with: 1) previous and future cohorts; 2) other CDTs within and outside the University of Southampton; 3) industry; 4) academics; 5) the general public; and 6) Government. The programme will be composed of a first year of transferable and technical taught elements followed by 3 years of dedicated research with the opportunity to select further technical modules, and/or spend time in industry, and experience international training placements. Development of expertise will culminate in an individual project aligned to the relevant research area where the skills acquired are practiced. Cohort building and peer-to-peer learning will be on-going throughout the programme, with training in leadership, communication, and problem solving delivered through initiatives such as a team building residential course; a student-led seminar series and annual conference; a Group Design Project (national or international); and industry placement. The cohort will also mentor undergraduates and give outreach presentations to college students, school children, and other community groups. All activities are designed to facilitate the creation of a larger network. Students will be supported throughout the programme by their supervisory team, intensively at the start, through weekly tutorials during which a technical skills gap analysis will be conducted to inform future training needs. Benefitting from the £120M investment in the new Engineering Campus at the Boldrewood site the CDT will provide a high class education environment with access to state-of-the-art computer and experimental facilities, including large-scale research infrastructure, e.g. hydraulics laboratories with large flumes and wave tanks which are unparalleled in the UK. Students will benefit from the co-location of engineering, education, and research alongside industry users through this initiative. To provide cohort, training, inspiration and research legacies the CDT will deliver: 1) Sixty doctoral graduates in engineering and science with a broad understanding of the challenges faced by the Energy, Water, and Transport industries and the specialist technical skills needed to solve them. They will be ambitious research, engineering, industrial, and political leaders of the future with an ability to demonstrate creativity and innovation when working as part of teams. 2) A network of home-grown talent, comprising of several CDT cohorts, with a greater capability to solve the "Big Problems" than individuals, or small isolated clusters of expertise, typically generated through traditional training programmes.

This project addresses how environmental change affects the movement of sediment through rivers and into our oceans. Understanding the movement of suspended sediment is important because it is a vector for nutrients and pollutants, and because sediment also creates floodplains and nourishes deltas and beaches, affording resilience to coastal zones. To develop our understanding of sediment flows, we will quantify recent variations (1985-present) in sediment loads for every river on the planet with a width greater than 90 metres. We will also project how these river sediment loads will change into the future. These goals have not previously been possible to achieve because direct measurements of sediment transport through rivers have only ever been made on very few (<10% globally) rivers. We are proposing to avoid this difficulty by using a 35+ years of archive of freely available satellite imagery. Specifically, we will use the cloud-based Google Earth Engine to automatically analyse each satellite image for its surface reflectance, which will enable us to estimate the concentration of sediment suspended near the surface of rivers. In conjunction with other methods that characterise the flow and the mixing of suspended sediment through the water column, these new estimates of surface Suspended Sediment Concentration (SSC) will be used to calculate the total movement of suspended sediment through rivers. We then analyse our new database (which, with a five orders of magnitude gain in spatial resolution relative to the current state-of-the-art, will be unprecedented in its size and global coverage) of suspended sediment transport using novel Machine Learning techniques, within a Bayesian Network framework. This analysis will allow us to link our estimates of sediment transport to their environmental controls (such as climate, geology, damming, terrain), with the scale of the empirical analysis enabling a step-change to be obtained in our understanding of the factors driving sediment movement through the world's rivers. In turn, this will allow us to build a reliable model of sediment movement, which we will apply to provide a comprehensive set of future projections of sediment movement across Earth to the oceans. Such future projections are vital because the Earth's surface is undergoing a phase of unprecedented change (e.g., through climate change, damming, deforestation, urbanisation, etc) that will likely drive large transitions in sediment flux, with major and wide reaching potential impacts on coastal and delta systems and populations. Importantly, we will not just quantify the scale and trajectories of change, but we will also identify how the relative contributions of anthropogenic, climatic and land cover processes drive these shifts into the future. This will allow us to address fundamental science questions relating to the movement of sediment through Earth's rivers to our oceans, such as: 1. What is the total contemporary sediment flux from the continents to the oceans, and how does this total vary spatially and seasonally? 2. What is the relative influence of climate, land use and anthropogenic activities in governing suspended sediment flux and how have these roles changed? 3. How do physiographic characteristics (area, relief, connectivity, etc.) amplify or dampen sediment flux response to external (climate, land use, damming, etc) drivers of change and thus condition the overall response, evolution and trajectory of sediment flux in different parts of the world? 4. To what extent is the flux of sediment driven by extreme runoff generating events (e.g. Tropical Cyclones) versus more common, lower magnitude events? How will projected changes in storm frequency and magnitude affect the world's sediment fluxes in the future? 5. How will the global flux of sediment to the oceans change over the course of the 21st century under a range of plausible future environmental change scenarios?

As a first stage in the analysis of storm surge risks to UK port infrastructure and supply chain operation, this project aims to improve the resilience of the port of Immingham and its critical biomass/coal transport link to power stations. The project includes the following three activities: WF1: To refine and operationalize an innovative artificial neural network (ANN) extreme sea-level prediction model (NE/M008150/1) for application at Immingham (with potential application for other UK ports, especially within estuaries). WF2: To translate predicted surge height and duration to risks to infrastructure (equipment, facilities) and operations (i.e. impacts on biomass/coal flows) through stakeholder engagement. WF3: Incorporate railway infrastructure and freight train movements to UCL's MARS model (used in NE/M008150/1) to predict the cascading impacts on the power sector.

This study proposes the first major investigation in the UK into the increasing involvement of private companies in carrying out professional spatial planning work formerly conducted by local government. In the postwar era, decisions about urban development were justified with the idea that state-employed planners served a unified public interest. As politically-neutral bureaucrats working in government, they stood above particular interests to serve a common good. Although this 'public interest' justification has long been challenged it remains important for professional practice. However, over the last 20 years organisational reforms (intensified by austerity) have seen some planning functions of the state devolved to local communities, while the role of the market has been expanded with the private sector increasingly delivering planning services. Nearly half of all UK Chartered Planners now work for private firms and the Government seeks to extend private sector involvement. Despite this, there has been little research on the effects of privatisation on professionalism and how the public interest is understood in planning. To fill this gap, we will focus on 3 key areas: 1. The extent and nature of private sector involvement in planning; 2. The implications of this involvement for planners' understanding of their professional role, 3. The consequences of this involvement for traditional justifications of planning activities as in the 'public interest'. The project will use: -archival work to trace how 'the public interest' is understood in planning: undertaking a history of the concept in relation to changing public/private arrangements for service delivery -focus groups, co-produced with the Royal Town Planning Institute, to provide an up-to-date account of the new public and private organisational arrangements for planning in the UK -biographical interviews, to develop reflective discussion among planning professionals on the way that these new organisational arrangements have changed their understanding and practice relating to professionalism and its role in securing the public interest -in-depth case studies of the contexts in which private sector professionals work to explore how ideas of 'professionalism' and the 'public interest' are defined and realised through the day-to-day practices and interactions of various professionals, politicians and citizens involved in local planning. It will answer five research questions: 1. How have the roles of the public and private sectors in delivering public interest planning goals changed over the post-war period? 2. Through what public/private organisational forms is planning now delivered? 3. How have professional planners working in diverse settings adjusted to changing organisational arrangements, what 'professional' work do they do, and how do they define and understand their professional identity? 4. What effects do different organisational configurations have on the ways that planning's contested public interest purposes are defined and realised, particularly in relation to the complexities of place, democracy, and local politics? 5. How can 'public service' professional labour be reimagined as a means of better realising public interest goals, and challenging dominant understandings of what public services can and should legitimately deliver? As the first empirical study of how privatisation is influencing UK planning, the project will make several ground-breaking contributions to knowledge. It will provide academics with an innovative framework for understanding how these profound changes are reshaping what it means to be a 'professional', and the nature of decision-making in the 'public interest'. Finally, it will generate debate about how professionals might better realise the public interest in the future; highlighting the potentials but also the dangers of the commercialisation of public sector work.

Flooding is the deadliest and most costly natural hazard on the planet, affecting societies across the globe. Nearly one billion people are exposed to the risk of flooding in their lifetimes and around 300 million are impacted by floods in any given year. The impacts on individuals and societies are extreme: each year there are over 6,000 fatalities and economic losses exceed US$60 billion. These problems will become much worse in the future. There is now clear consensus that climate change will, in many parts of the globe, cause substantial increases in the frequency of occurrence of extreme rainfall events, which in turn will generate increases in peak flood flows and therefore flood vast areas of land. Meanwhile, societal exposure to this hazard is compounded still further as a result of population growth and encroachment of people and key infrastructure onto floodplains. Faced with this pressing challenge, reliable tools are required to predict how flood hazard and exposure will change in the future. Existing state-of-the-art Global Flood Models (GFMs) are used to simulate the probability of flooding across the Earth, but unfortunately they are highly constrained by two fundamental limitations. First, current GFMs represent the topography and roughness of river channels and floodplains in highly simplified ways, and their relatively low resolution inadequately represents the natural connectivity between channels and floodplains. This restricts severely their ability to predict flood inundation extent and frequency, how it varies in space, and how it depends on flood magnitude. The second limitation is that current GFMs treat rivers and their floodplains essentially as 'static pipes' that remain unchanged over time. In reality, river channels evolve through processes of erosion and sedimentation, driven by the impacts of diverse environmental changes (e.g., climate and land use change, dam construction), and leading to changes in channel flow conveyance capacity and floodplain connectivity. Until GFMs are able to account for these changes they will remain fundamentally unsuitable for predicting the evolution of future flood hazard, understanding its underlying causes, or quantifying associated uncertainties. To address these issues we will develop an entirely new generation of Global Flood Models by: (i) using Big Data sets and novel methods to enhance substantially their representation of channel and floodplain morphology and roughness, thereby making GFMs more morphologically aware; (ii) including new approaches to representing the evolution of channel morphology and channel-floodplain connectivity; and (iii) combining these developments with tools for projecting changes in catchment flow and sediment supply regimes over the 21st century. These advances will enable us to deliver new understanding on how the feedbacks between climate, hydrology, and channel morphodynamics drive changes in flood conveyance and future flooding. Moreover, we will also connect our next generation GFM with innovative population models that are based on the integration of satellite, survey, cell phone and census data. We will apply the coupled model system under a range of future climate, environmental and societal change scenarios, enabling us to fully interrogate and assess the extent to which people are exposed, and dynamically respond, to evolving flood hazard and risk. Overall, the project will deliver a fundamental change in the quantification, mapping and prediction of the interactions between channel-floodplain morphology and connectivity, and flood hazard across the world's river basins. We will share models and data on open source platforms. Project outcomes will be embedded with scientists, global numerical modelling groups, policy-makers, humanitarian agencies, river basin stakeholders, communities prone to regular or extreme flooding, the general public and school children.