A5015893842- Hydrology and Watershed Management Studies
- Hydrological Forecasting Using AI
- Flood Risk Assessment and Management
- Soil erosion and sediment transport
- Hydrology and Sediment Transport Processes
- Neural Networks and Applications
- Cryospheric studies and observations
- Virtual Reality Applications and Impacts
- Spatial Cognition and Navigation
- Augmented Reality Applications
- Sustainability and Climate Change Governance
- Bayesian Modeling and Causal Inference
- Hydrology and Drought Analysis
- Energy Load and Power Forecasting
- Disaster Management and Resilience
- Short Stories in Global Literature
- Educational Games and Gamification
- Face and Expression Recognition
- Tropical and Extratropical Cyclones Research
- Model Reduction and Neural Networks
- Geology and Paleoclimatology Research
- Aeolian processes and effects
- Explainable Artificial Intelligence (XAI)
- Urban Stormwater Management Solutions
- Species Distribution and Climate Change
University of Nottingham
2011-2024
Park University
2009
Birkbeck, University of London
2003-2005
This paper traces two decades of neural network rainfall-runoff and streamflow modelling, collectively termed ‘river forecasting’. The field is now firmly established the research community involved has much to offer hydrological science. First, however, it will be necessary converge on more objective consistent protocols for: selecting treating inputs prior model development; extracting physically meaningful insights from each proposed solution; improving transparency in benchmarking...
Global-scale hydrological models are routinely used to assess water scarcity, flood hazards and droughts worldwide. Recent efforts incorporate anthropogenic activities in these have enabled more realistic comparisons with observations. Here we evaluate simulations from an ensemble of six participating the second phase Inter-Sectoral Impact Model Inter-comparison Project (ISIMIP2a). We simulate monthly runoff 40 catchments, spatially distributed across eight global hydrobelts. The performance...
We present one of the first climate change impact assessments on river runoff that utilises an ensemble global hydrological models (Glob-HMs) and catchment-scale (Cat-HMs), across multiple catchments: upper Amazon, Darling, Ganges, Lena, Mississippi, Niger, Rhine Tagus. Relative changes in simulated mean annual (MAR) four indicators high low extreme flows are compared between two ensembles. The median values with three different scenarios global-mean warming (1, 2 3 °C above pre-industrial...
"Panta Rhei – Everything Flows" is the science plan for International Association of Hydrological Sciences scientific decade 2013–2023. It founded on need improved understanding mutual, two-way interactions occurring at interface hydrology and society, their role in influencing future hydrologic system change. calls strategic research effort focused delivery coupled, socio-hydrologic models. In this paper we explore synthesize opportunities challenges that socio-hydrology presents...
Advancing stakeholder participation beyond consultation offers a range of benefits for local flood risk management, particularly as responsibilities are increasingly devolved to levels. This paper details the design and implementation participatory approach identify intervention options managing risk. Within this approach, Bayesian networks were used generate conceptual model system, with particular focus on how different interventions might achieve each nine participant objectives. The was...
A Blue-Green City aims to recreate a naturally-oriented water cycle while contributing the amenity of city by bringing management and green infrastructure together.The approach is more than stormwater strategy aimed at improving quality providing flood risk benefits.It can also provide important ecosystem services socio-cultural benefits when urban system in non-flood condition.However, quantitative evaluation appraisal relative significance each benefit given location are not well...
On meandering rivers with well-developed floodplains, bankfull stage has geomorphological and ecological significance because it approximates the level of connection between channel floodplain. As a river rises to stage, sediment begins be deposited on floodplain, wetlands are progressively inundated organisms migrate floodplain habitats. many large headwater dams have reduced frequency duration inundation downstream. However, lack reliable pre-regulation flow data made difficult quantify...
Abstract Responsibility for flood risk management (FRM) is increasingly being devolved to a wider set of stakeholders, and effective participation by multiple FRM agencies communities at calls engagement approaches that supplement make the best possible use hydrologic hydraulic modelling. Stakeholder must strike considered balance between ideals pragmatic realities existing mechanisms decision‐making. This article evaluates potential using participatory modelling facilitate co‐production...
This paper investigates the issues surrounding use of 3D virtual worlds to enhance learner immersion through improved engagement. It is based on findings from JISC-funded DEsign Learning spaces in Virtual Environments (DELVE) project at University Nottingham and Open University. Given continued confusion about term immersion, what it means for a be immersed, relationship between presence engagement, notions engagement environments are explored context previous published studies ranging...
Endorheic lakes, lacking river outflows, are highly sensitive to environmental changes and human interventions. Central Asia (CA) has over 6000 lakes that have experienced substantial water level variability in the past century, yet causes of recent many remain unexplored. Modelling hydrological processes for CA poses challenges separating climatic change impacts from management due limited data long-term regimes. This study developed a spatially lumped empirical model investigate effects...
Multi-step ahead inflow forecasting has a critical role to play in reservoir operation and management Taiwan during typhoons as statutory legislation requires minimum of 3-h warning be issued before any releases are made. However, the complex spatial temporal heterogeneity typhoon rainfall, coupled with remote mountainous physiographic context, makes development real-time rainfall-runoff models that can accurately predict several hours time challenging. Consequently, there is an urgent,...
Flood risk consists of complex and dynamic problems, whose management calls for innovative ways engaging with a wide range local stakeholders, many whom lack the technical expertise to engage traditional flood practices. Participatory approaches offer potential involving these stakeholders in decision‐making, yet limited advice is available users choosing which techniques employ what they might expect them deliver. Assessing effectiveness participatory critical step towards better...
Abstract This paper addresses current inconsistencies in methodological approaches for neural network modelling of suspended sediment. An expansion the number case studies being published over last decade has yet to result agreed guidelines on whether sediment load or concentration should be modelled, and log‐transformation data is either necessary potentially beneficial. contrasts with well‐recognized that direct traditional rating curve studies. The reports a comprehensive set single‐input...
Abstract. In this paper the difficult problem of how to legitimise data-driven hydrological models is addressed using an example a simple artificial neural network modelling problem. Many in hydrology have been criticised for their black-box characteristics, which prohibit adequate understanding mechanistic behaviour and restrict wider heuristic value. response, presented here new generic framework. The framework significant because it incorporates evaluation legitimacy model's internal...
Abstract. When analysing the performance of hydrological models in river forecasting, researchers use a number diverse statistics. Although some statistics appear to be used more regularly such analyses than others, there is distinct lack consistency evaluation, making studies undertaken by different authors or performed at locations difficult compare meaningful manner. Moreover, even within individual reported case studies, substantial contradictions are found occur between one measure and...
This paper addresses the difficult question of how to perform meaningful comparisons between neural network-based hydrological models and alternative modelling approaches. Standard, goodness-of-fit metric approaches are limited since they only assess numerical performance not physical legitimacy means by which output is achieved. Consequently, potential for general application or catchment transfer such seldom understood. presents a partial derivative, relative sensitivity analysis method as...
Abstract In this study, a Bayesian Network (BN) is used to model the suspended sediment concentrations (SSC) in catchments of glaciers Noir and Blanc Ecrins National Park, France, at distal end proglacial zone into which both torrents drain. Relationships between air temperature, glacier discharge SSC are represented as random variables; thereby taking natural next step from proposed modified rating curve methods increasingly approximate variable approaches. Hydrological relationships...