Research Area: Flooding

Prakash Kripakaran

Prakash Kripakaran

Prakash is academic lead for the civil and structures research group at Exeter. His research interests are broadly in the design and management of civil infrastructures, such as bridges. He has significant experience in: the experimental and numerical modelling of flow and scour (erosion) around hydraulic structures such as bridge piers; the use of applied computing techniques including Building Information Modelling (BIM) for construction automation and design; the development of finite element modelling-based and data-driven strategies for interpreting measurements from bridge structural health monitoring; and the application of optimization methods for structural design problems (e.g. design of trusses and moment-resisting steel frames).

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Peter Melville-Shreeve

Peter Melville-Shreeve

Dr Peter Melville-Shreeve has worked in consultancy, startups and academic roles over the last decade. He works closely with the Chartered Institution of Water and Environmental Management’s (CIWEM’s) policy team to support sustainable water management systems and chair’s CIWEM’s Water Reuse Task & Finishing Group. Much of Peter’s early research focusses on rainwater management systems and the need for dual purpose designs – which can mitigate droughts and floods. His thesis highlighted the opportunities for Internet of Things technologies to be harnessed to reduce water demand AND manage stormwater flood risk. He consequently founded and exited a technology business which developed analytics and control systems to enable such technologies to be implemented at a range of scales.

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Laurence Hawker

Laurence’s research interests focus on hydrodynamic models, elevation data, geostatistics and remote sensing. His research focuses on data-sparse areas, with current projects including FLICH: Floods and livelihoods in the Central Highlands of Vietnam, HyFLOOD: Developing Next Generation Hydrodynamic Models in Africa, as well as supporting disaster response to recent tropical storms in Central America and South-East Africa.

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John Morgan

My research interests lie in early modern environmental history, with a focus on histories of water and flooding. I am engaged in several projects related to these research interests – on early modern flooding; internal drainage boards; and environment and emotion – for further information see link below.

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Rich Crane

Rich’s key research and teaching areas are extractive metallurgy, materials science, nanotechnology and applied geochemistry for a range of applications including the development of novel mining techniques, mine site reclamation, waste treatment, water treatment and contaminant transport.

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Gemma coxon

I am a Lecturer in Hydrology within the Hydrology Group in the School of Geographical Sciences. My research focusses on understanding and predicting hydro-climatic extremes (floods and droughts) in changing environments. My expertise centres on building, applying and evaluating hydrological models for the improved simulation of water systems from local to continental scales across large samples of catchments.

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Guangtao Fu

Guangtao Fu

Guangtao’s research is focused on developing and applying new computer models, data analytics and artificial intelligence tools to tackle urban water challenges in water supply resilience, network leakage, flood risk, urban stormwater and wastewater management.

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Slobodan Djordjevic

Slobodan Djordjevic

Slobodan researches the development and application of advanced methodologies and software tools for water management. These include: drainage and floods simulation, impacts of flooding, effects on human health and impacts on road transportation, resilience to diverse extreme weather events in the context of climate change, tidal energy extraction, water quality modelling, river and coastal engineering, water-food-energy nexus, cascading effects between water, waste, energy, transportation and other infrastructure systems, nature-based solutions, and drought risk management.

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Albert Chen

Albert Chen

Albert’s research focuses on water and human environment systems. Particular focus is on: hydraulic modelling, urban drainage, flood forecasting, innovation technology applications, water-food-energy-ecosystems nexus, climate change impact on critical infrastructure, prediction of water-borne disease, hazard impact and cascading effects assessment, and mitigation and resilience strategies.

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Reza Ahmadian

Reza’s research includes flood risk management including: flash flood and hazard, Sustainable Flood Management, evacuation planning,
water quality and sediment transport modelling. His work includes modelling bacteria, viruses, nutrients and emerging pollutants, monitoring for bathing water and aquaculture sites, warning and autonomous systems, water security.

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Shunqi Pan

Shunqi’s research covers the physical and numerical modelling of coastal and estuarine processes; prediction of large-scale extreme waves and surge; climate change impacts to the marine environment; coastal defences and flooding and marine renewable energy.

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Marion Harney

Marion Harney

Marion’s main research interests are the history and theory of historic buildings, cultural heritage, designed and cultural landscapes, World Heritage Sites and their conservation, with a particular interest in eighteenth century architecture, landscape and literature and how literature reflects and shapes the way in which we see the landscape and the environment.

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Jun Zang

Jun Zang

Jun works on investigating violent wave impact on coastal and offshore structures, developing marine renewable energy, and developing advanced numerical methods for accurately modelling coastal & urban flooding and wave-structure interaction.

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Jeff Neal

Jeff Neal

Jeff’s research interests include the development of hydraulic models and the assimilation of observations with such models across and range of spatial scales. He also researches support for flood risk management, which includes work on modelling flood hazard in urban areas and methods to increase the computational efficiency of hydraulic models.

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