SIMR 2024 Conference Programme

The conference will be held in the , located at the centre of the ºÚÁÏÍø campus.

Keynote speakers

Peng Cui

Peng Cui

Peng Cui, Professor of Geotechnical Engineering at the Institute of Mountain Hazards and Environment (IMHE) of the Chinese Academy of Science (CAS), elected Academician of Chinese Academy of Sciences, Head of the CAS’s Key Laboratory of Mountain Hazards and Earth Surface Process, research focusing on geohazard mechanism and risk management.

More about Peng Cui's keynote speech
Efi Foufoula Georgiou

Efi Foufoula-Georgiou

Efi Foufoula-Georgiou, Distinguished Professor and Henry Samueli Endowed Chair in Engineering at University of California, Irvine (UCI) in the United States, Elected Member of the National Academy of Engineering (NAE) and the American Academy of Arts and Science (AAA&S), Associate Dean for Research and Innovation at the UCI’s Henry Samueli School of Engineering, major research interests covering the area of stochastic modelling of surface hydrologic and geomorphologic processes. 

More about Efi Foufoula-Georgiou's keynote speech
Daniel Parsons

Daniel Parsons

Daniel Parsons, Professor of Geosciences and Pro-Vice-Chancellor for Research and Innovation at ºÚÁÏÍø in the UK, awardee of prestigious European Research Council Consolidator Award, current President of Division for Geomorphology of the European Geosciences Union, internationally renowned for his work on flow processes and sediment transport in rivers, coasts and estuaries and the deep sea, including work addressing flood hazard and risk.

More about Daniel Parsons' keynote speech
Tiziana Rossetto

Tiziana Rossetto

Tiziana Rossetto, Professor of Earthquake Engineering at University College London (UCL) in the UK, elected fellow of Royal Academy of Engineering, founding director of , Vice Dean (International) for the Faculty of Engineering Sciences at UCL, research focusing on earthquake and tsunami impact and building and infrastructure resilience.

More about Tiziana Rossetto's keynote speech

Sunday 15 September 2024

Timetable:

  • 09:00 - 12:00 Training lecture
  • 14:00 - 18.00 Training - practical 
  • 14:00 - 15:00 Committee meeting
  • 15:00 - 18:00 Registration
  • 18:00 - 20:00 Welcome reception

SIMR 2024 offers a FREE full-day training programme for registered research students and early career researchers to develop hand-on skills for flood modelling and risk assessment (limited spaces available on a first-come, first-served basis). 

Highlights of the day: 

  • Computational methods for modelling flooding and other hazardous processes
  • GIS, multi-source data, data processing and visualisation
  • Concept and methodology framework for flood risk assessment
  • Introduction of the open-source High-Performance Integrated hydrodynamic Modelling System (HiPIMS)
  • Practical session in a computer lab to develop hand-on experience in real-world flood modelling and risk assessment 

Monday 16 September 2024

Timetable:

  • 09:00 - 09:30 :
    • Nick Jennings Vice-Chancellor and President of ºÚÁÏÍø, UK
    • Qiang Xu President of Chengdu University of Technology, China
    • Jinjun Guo Dean of School of Water Conservancy and Transportation at Zhengzhou University, China
    • Soichiro Yasukawa Chief of Disaster Risk Reduction Unit at UNESCO
  • 09:30 - 10:30
  • 10:30 - 11:00 Break

11.00 – 12.30 - Parallel sessions A:

A1 Drivers and processes 1, Location: EHB001.

  • John Hillier Co-occurring British flood-wind events (1980-2080) and potential large-scale drivers (ID-6)
  • Shasha Han Flood non-stationarity in the context of climate change and urbanization (ID-174)
  • Lianji Liang Mechanism of a rapid and long-runout landslide triggered by 2017 rainfall in Yushu, northeastern Tibet Plateau (ID-93)
  • Ya-ni Wei Investigation of the collapse potential of Malan loess from different regions on the Loess Plateau in terms of pore structures and clay distribution form (ID-121)
  • Weihua Zhao Failure mechanism of deep-seated toppling slope caused by water storage and strong earthquake (ID-120)

A2 Monitoring and detection 1, Location: EHB002.

  • Elizabeth Lewis Building tools for dynamic, hyper-resolution, near-real time flood risk assessment hazard management (ID-102)
  • Pablo Durán-Barroso Enhancing flood assessment and resilience using advanced remote sensing: a case study of the Gévora River (ID-136)
  • Qijie Li Risk assessment of urban flood disaster in underground space (ID-74)
  • Xiangyang Zhang Urban meteorological drought comprehensive index based on a composite fuzzy matter element-moment estimation weighting model (ID-4)
  • Xushu Wu Multi-source precipitation products assessment on drought monitoring across global major river basins (ID-17)

A3 Data-driven modelling 1, Location: EHB110A.

  • Davide Mauro Ferrario AI approaches for understanding Multi-Risk patterns under climate change scenarios in the Veneto region (Italy) (ID-156)
  • Zijie Wang Using Random Forest for global extreme rainfall estimation based on scaling parameter and Köppen-Geiger classification (KGC) (ID-128)
  • Chengguo Su An MILP based optimization model for reservoir flood control operation considering spillway gate scheduling (ID-187)
  • Bin He A new improved Dahuofang hydrological model applied in Yehe Watershed with karst characteristics of Northern China (ID-108)
  • Hongshi Xu Urban flood prediction based on data clustering and Bayesian optimized deep learning model (ID-226)

A4 Physics-based modelling 1, Location: EHB110B.

  • Mario Morales-Hernández Efficient simulation techniques for predicting mud, debris, and lava flows in complex terrains (ID-185)
  • Yan Xiong Modelling the full-process dynamics of floating debris and the induced impact forces (ID-35)
  • Pablo Vallés Integrating lagrangian modeling with SERGHEI for enhanced debris transport simulation (ID-183)
  • Xue Tong High-Performance Urban-Scale Modelling System for Full-process Simulation of Nonpoint Pollutant Dynamics (ID-222)
  • Haris Rahadianto Optimal dike raising considering asset economic Loss and human casualties (ID-63)

A5 Risk assessment, disaster reduction and resilience 1, Location: EHB104.

  • Hua Zhong Smoke characteristics in complex urban underground tunnel fires: insights for enhancing resilience (ID-190)
  • Haibo Yang Winter wheat drought risk assessment by coupling improved moisture-sensitive crop model and gridded vulnerability curve (ID-54)
  • Xin Liang Quantification of the uncertainty in landslide susceptibility mapping based on an updated sample selection strategy: a case study of Wanzhou District, Three Gorges Reservoir (ID-60)
  • Yiling Zhou System dynamics modeling and resilience analysis of the media highway landslide-Induced collapse (ID-40)
  • Shuai Zhang Human life resilience assessment to landslides: a case study in China (ID-39)

A6 (Special Session) CWSR: Harnessing data and technology for whole society resilience - latest practice, Location:EHB205.

  • Caroline Field  tbc
  • Ali Nicholl  tbc
  • Eleanor Parker tbc
  • David Rubens tbc
  • Claire Crichton-Allen Education for Impact: Shaping Resilient Mindsets through Key Competencies for a Sustainable Future (ID-212)

  • 12:30 - 12:40 Group photo
  • 12:40 - 14:00 Lunch

14:00 - 15:30 - Parallel sessions B:

B1 Drivers and processes 2, Location: EHB001.

  • Christopher Keylock Integrating multiple hazards and social responses using Unweighted, Directed Networks: Non-normality and Eigenvalue Structure of Directed Graph Laplacians (ID-25)
  • Yongbao Zhang Research on the evolution model and characteristics of natural disaster chains in Northwest China (ID-12)
  • Jian Shi Global increase in tropical cyclone ocean surface waves (ID-113)
  • Yicheng Tan Storm surge variability and prediction from ENSO and tropical cyclones (ID-158)
  • Ruili Fu Shapes of freak wave groups in the Norwegian Sea (ID-160)

B2 Monitoring and detection 2, Location: EHB002.

  • Jonathan Chambers Near-real-time geophysical monitoring and decision support for slope scale landslide (ID-189)
  • Qingling Geng The drought index incorporated solar-induced chlorophyll fluorescence enhances the monitoring capability of vegetation responses to water stress (ID-55)
  • Jie Dong Large-scale land subsidence and relative sea level rise in coastal areas of China revealed by multi-source observation data (ID-8)
  • Zhihui Wang Explicit monitoring of vegetation types and structural parameters using Landsat time-series improves the understanding of runoff response to vegetation change (ID-223)
  • Qiao Hu Assessing human settlement suitability and risks in metropolitan areas for urban heat and cold islands by remotely sensed urban features (ID-21)

B3 Data-driven modelling 2, Location: EHB110A.

  • Jianjun Zhao Mechanism of rockfall induced by steep coal seam mining (ID-131)
  • Zhenlei Wei Evaluating the thresholds of post-earthquake debris flows: comparison of meteorological, hydro-meteorological and critical discharge approaches (ID-36)
  • Weiqiu Chen Practical modelling of beach profile evolution in the swash zone (ID-143)
  • Dantong Zhu Improve the accuracy of water environment simulation in karst basin (ID-83)
  • Jun Chen An Eulerian-Lagrangian model to track fish egg drifting in rivers (ID-124)

B4 Physics-based modelling 2, Location: EHB110B.

  • Jianguo Chen Change in global tropical cyclone precipitation footprint (ID-224)
  • Liam Holland Selection bias in landslide datasets: causes, impacts, and mitigation (ID-165)
  • Jikun Xu Spatio-temporal evolution simulation of mining subsidence based on cellular automation and random forest models (ID-80)
  • Yuan Li Analysis and GPT-4-based prediction of beach accidents on a recreational beach in China (ID-140) 
  • Shan Ding Rapid prediction of gaseous pollutants dispersion in urban wind environment based on proper orthogonal decomposition (POD) and deep neural networks (DNNs) (ID-72)

B5 Risk assessment, disaster reduction and resilience 2, Location: EHB104.

  • Takeyuki Okubo Research on functional expansion and study on information delivery policy for developing the “local disaster information system” in Kaya Preservation District (ID-10)
  • Prem Sagar Chapagain Farmers' sources and trust to weather information in the context of Climate change in South Asia: A Comparative Study from Nepal, India and Bangladesh (ID-111)
  • Haoyang Qin A Coupled Human And Natural Systems (CHANS) modelling framework for flood risk assessment and emergency management (ID-220)
  • Booloot Eslami Arshaghi A human-environment-flood framework for studying and modelling human behaviour in flood evacuation (ID-41)
  • Qing Li Risk analysis for flash flood hazards in China (ID-146)

B6 (Special Session) CWSR: Research to practice - implementing whole society resilience, Location:EHB205.

  • Helen Hinds  tbc
  • Simon Lewis MBE tbc
  • Suzanne Wilkinson Improving Tsunami Emergency Management Evacuation Practices: A Case from Napier City, New Zealand (ID-214)
  • Carys Lloyd  Navigating Climate Change for National Infrastructures: Mitigation, Adaptation, and Resilience
  • Andy Wade Discussion of the RDG's Rail Resilience Project 

  • 15:30 - 16:00 Break
  • 16:00 - 17:30 High level forum, Location EHB110B.

Tuesday 17 September 2024

Timetable:

  • 09:00 - 10:00
    • .
  • 10:00 - 10:30 Poster
  • 10:30 - 11:00 Break

11.00 – 12.30 - Parallel sessions C:

C1 Drivers and processes 3, Location: EHB001.

  • Ling Li Scaling and size effect of the collapsing hazards of granular columns (ID-59)
  • Lijun Su Friction weakening behavior related to shear localization and particle fragmentation in confined shear flow (ID-22)
  • Wangcheng Zhang The effect of nano-sized Fe3O4 powder addition on the nitrogen transfer paths and biomass morphology in floc-granule coexistence system (ID-53)
  • Yingjian Zhang Addressing the risk of nanoplastic pollution: feasibility and influencing factors of aerobic granular sludge adsorption of nanoparticles (ID-24)
  • Zhiduo Zhu Ultrasonic characteristics of compressive failure of frozen ice-sandwiched rock mass under thermal melting conditions (ID-30)

C2 Forecasting and early warning 1, Location: EHB002.

  • Yunqing Xuan Urban and flash flood nowcasting using ultra-high-resolution rain radars (ID-132)
  • Lin Lin Study on near-real-time risk quantification of urban flood disasters based on social sensing and RS-DNN (ID-31)
  • Xinsheng Wei An integrated rainfall-induced landslide early warning system: application of the real-time monitoring data and coupled hydro-mechanical analysis (ID-142)
  • Fang Zhang The non-negligible role of lake heat storage in evaporation estimation for an alpine deep lake (ID-173)
  • Donglai Li Numerical simulation method for precise traceability of the entire process of urban flood rainfall-runoff-drainage-inundation (ID-67)

C3 (Special Session) Compound Flood Risk and Resilience: Advances in Modelling, Monitoring and Analysis Methods, Location: EHB110A.

  • Yurui Fan Identifying the contribution of data uncertainty in multi-hazard risk analysis through an iterative factorial multi-model Bayesian copula with multiple datasets (IFMBC-MD) framework (ID-215)
  • Ming Zhong Research on probabilistic model of risk transition and the different patterns in compound floodings (ID-96) 
  • Wanjie Xue A framework for amplification flood risk assessment and threshold determination of combined rainfall and river level in an inland city (ID-7)
  • Chengfei Hu Key technologies and applications of early warning for compound Flood and waterlogging disasters in coastal towns (ID-147)
  • Guodan Zheng Analysis and research on the characteristics of wind and surge waves in the estuarine area (ID-205)

(Teams link)

C4 Physics-based modelling 3, Location: EHB110B.

  • Dehua Zhu High-resolution pluvial flood simulations through the application of multi-band weather radars in Chinese mega city (ID-182)
  • Xiaoyan Zhai Assessment of flash flood inundation using an integrated modelling approach (ID-180)
  • Yangwei Zhang A bi-directional coupled hydrodynamic model for surface and drainage modelling in urban areas (ID-69)
  • Jingxiao Wu Integrating local-time-step method for improved efficiency in 2-D hydrodynamic rainfall-runoff modeling (ID-219)
  • Gang Wang Graphics processing unit (GPU)-enhanced nonhydrostatic model with grid nesting for global tsunami propagation (ID-37)

C5 Risk assessment, disaster reduction and resilience 3, Location: EHB104.

  • David Onemayin Web-based Decision Support System (DSS) flood risk characterisation for metropolitan cities of Suleja and Lokoja, Nigeria (ID-137)
  • Chris Sweetapple Attenuation tanks for stormwater management: The need for ‘smarter’ systems in the digital era (ID-127)
  • Chendi Zhang Artificial step-pool sequence: a nature-based approach to improve mountain river resilience to flash flood (ID-129)
  • Wenjie Chen Multi-objective optimization for Green Infrastructure planning: diverse algorithms and different rainfall scenarios (ID-106)
  • Zijian Guo Configuration optimization of stormwater treatment plants in coal ports considering flood risk management (ID-112)

  • 12:30 - 14:00, Lunch
  • 14:00 - 15:00,
  • 15:00 - 15:30, Break

14:00 - 15:30 - Parallel sessions D:

D1 (Special Session) Artificial Intelligence/Machine Learning Advances in Flood Forecasting Applications, Location: EHB001.

  • Chengshuai Liu  Research on Machine Learning Hybrid Framework by Coupling Grid-based Runoff Generation and Runoff Processes Vectorization for Flood Forecasting (ID-87)
  • Vinh Vu Machine learning approach towards predicting turbulent fluid flow using convolutional neural networks (ID-217)
  • Chaojun Ouyang Real-time flash flood forecasting approach based on numerical modeling and AI technology (ID-107)
  • Changjun Liu Study and application of large-scale models in hydraulic engineering (ID-179)
  • Min Gan A data-driven framework for predicting water levels of floodplain lakes with strong nonstationarity (ID-89)

D2 Forecasting and early warning 2, Location: EHB002.

  • Bipin Dulal Development of multi-hazard scenarios leading towards early warning system for Hindu Kush Himalaya (HKH) region (ID-148)
  • Shuangshuang Wu Forecasting and early warning of the Gapa landslide based on deformation and evolution characteristics (ID-45)
  • Yihong Zhou The loss threshold effect and convenient early warning mode of combined disaster based on improved Moment estimation and cross-plot method (ID-14)
  • Chenchen Qiu An AI-based method for regional debris-flow warning in remote mountainous areas (ID-100)
  • Yongfu Tian A novel approach for deep prediction of risk processes in complex urban systems during natural disasters (ID-81)

D3 (Special Session) Remote Sensing for Smart Services and Disaster Monitoring, Location: EHB110A.

  • Mingsheng Liao Application of time series InSAR on monitoring geohazards (ID-9)
  • Xiaohui He Crop yield prediction and disaster loss assessment based on interpretable intelligent models (ID-64) 
  • Panle Li Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction (ID-65)
  • Han Wang A Transformer-based Convolution Neural Network framework for surface change detection from high-resolution remote-sensing Images (ID-109)
  • Yanmei Wang  SSML: Semi-Supervised Metric Learning with hard samples for hyperspectral image classification (ID-163)

D4 Physics-based modelling 4, Location: EHB110B.

  • Peng Hu A shallow water hydro-sediment-morphodynamic model and its applications (ID-58)
  • Jose Segovia-Burillo Advanced computational approaches for soil erosion and risk reduction in the Mediterranean Region (ID-184)
  • Xijun Lai An integrated flood and nutrient transport model for a lowland catchment (ID-70)
  • Yun Zhang Numerical simulation of earth fissures due to groundwater withdrawal (ID-28)
  • Mingming Sun Limit state equation and failure pressure prediction model of pipeline with complex loading (ID-98)

D5 Risk assessment, disaster reduction and resilience 4, Location: EHB104.

  • Huili Chen Assessing national exposure and impact to glacial lake outburst floods considering uncertainty under data sparsity (ID-216)
  • Hanyun Zhang Seismic performance of a high arch dam under main aftershock with emergency emptying (ID-178)
  • Hui Fang A multiscale optimization methodology for cyclic elastoplastic performance of offshore structures (ID-23)
  • Hao Chen Experimental investigation of riprap protection for a jacket foundation (ID-56)
  • Yu He The distribution of aquatic pathogen contamination in urban inland river: microbiology risk assessment (ID-20)

Poster

  • Yanfen Geng Research on urban flood resilience under the influence of complex terrain (ID-86)
  • Min Li Research on Dynamic Control of Flood Operating Water Level for the Reservoir Group of Lower Jinsha River Based on Forecast Information (ID-149)
  • Davide Mauro Ferrario Exploring the role of Earth Observation for the analysis of hot and dry events in the Adige River basin (ID-169)
  • Jinbo Tang A depth-resolved numerical model for debris flows (ID-94)
  • Zhiwei Chen Numerical simulation model of flood based on GPU acceleration and hybrid approach (ID-92)
  • 17:00 - 18:00 Town tour
  • 18:00 - 23:00 Great Central Railway Gala Dinner

Conference Dinner (£100 per person inclusive)

Our conference dinner will provide a unique experience of great British traditions in an exciting setting. 

Experience an unforgettable adventure with , provided by the renowned Great Central Railway. As you indulge in delectable canapés, you will be enveloped by the vintage charm of the First-Class Restaurant Cars. The historic steam locomotive will carry you through the picturesque Leicestershire countryside, offering a unique and nostalgic journey. Upon arriving at Quorn station, you will be treated to a sumptuous multi-course dinner in a beautifully appointed marquee. The evening's menu includes an exquisite main meal, delightful desserts, wines, and local beers, all served in a relaxed setting.

Wednesday 18 September 2024

Timetable:

  • 09:30 - 10:30
  • 10:30 - 11:00 Break

11.00 – 12.30 - Parallel sessions E:

E1 (Special Session) Smart Informatics for Geohazards Reduction in Dynamic Terrains, Location: EHB001.

  • Susie Goodall A novel method for valuing and integrating local knowledge in socio-ecological systems research (ID-211)
  • Guan Chen Research on evolution process and early warning of water-induced landslides considering hydrological spatio-temporal Heterogeneity (ID-157)
  • Yan Chong A study on the hazard prediction of debris flow and river blockage on the eastern margin of the Tibetan Plateau (ID-57)
  • Yufei Song A comparative analysis of landslide susceptibility assessment methods at regional Scale: a case study in QinBa mountains region (ID-152)
  • Ying Liu Remote sensing monitoring of rock glacier in the Gaizi River Basin, China (ID-42)

E2 (Special Session) Nature-based Solutions for Disaster Risk Reduction, Location: EHB002.

  • Tim Marjoribanks Can wetlands be applied as Nature-based solutions within large river catchments? A case study of the Brahmaputra (ID-225) (Invited)
  • Paolo Damone From Recovery to Resilience: Nature-based Solutions in Peru’s Reconstruction (ID-193)
  • Bartholomew Hill Natural Flood Management: An equitable approach? (ID-119)
  • Xuejing Li Decoding Chinese ancient culture-related nature-based solutions for flood-resilience using modern informatics (ID-221))
  • Alex Nicholson NatureInsight - Proportionate mapping and modelling of nature-based solutions to encourage greater uptake of schemes (ID-228) (Invited)

E3 (Special Session) Application of GIS and Remote Sensing in Multi-Hazard Reduction and Control, Location: EHB110A.

  • Kai Liu Tibetan lake growths drive drainage basin reorganizations and flooding risks (ID-202)
  • Feng Hu Environmental factors controlling the precipitation in California (ID-199)
  • Xiaoli Huang Empirical–conceptual gully evolution model using ergodic reasoning (ID-201)
  • Yinxue Liu A bare-earth version of GoogleDEM to simulate flooding in New Delhi, India (ID-208)
  • Junxing Luo Resilience assessment of urban road networks based on multi-source geographic data (ID-200)

E4 Risk assessment, disaster reduction and resilience 5, Location EHB110B.

  • Narendra Raj Khanal Understanding the multi-hazards, its risk and recovery: An experience along a transboundary river between China and Nepal in the Himalaya (ID-99)
  • Xiaochuan Tang Advancing Geohazard Data Sharing Using Federated Learning (ID-227)
  • Xiuchun Liang Assessing flood risk of residential-use heritage in cities using a coupled human and natural system (CHANS) approach (ID-218)
  • Fengyi Zhang Study on adaptive regulation based on water supply-demand system structure and water use desirability under extreme drought (ID-5)

  • 12:30 - 13:00 , Location EHB110B
  • 13:00 - 13:30 Lunch
  • 15:00 - 16:00 Pre-field trip brief, Location WPT004 - West Park Teaching Hub

Thursday 19 September 2024

Field trip (£90/person to cover transport, lunch, and tickets to Chatsworth House & Garden)

A Geological and Historical Journey through the Peak District.

  • 1 full day with lunch
  • Organisers: Dr Tom Dijkstra and Dr Alister Smith
  • 70 spaces available on a first-come, first-served basis 

The post-conference, one-day field trip will take us to the heart of England – the beautiful countryside of Derbyshire. We will visit our oldest National Park of the Peak District where we will stop off at the picturesque village of Castleton. We will use the village as a base to discuss the geology and landscape evolution of this scenic region; from tropical island conditions prevailing in the Carboniferous to the conditions we experience today. 

The varied lithology enabled significant industrial development and made the region prosper. In the limestone areas of the White Peak District, we will show you evidence of traditional lead mining, excavations for Blue John (a rare local variant of fluorite that is much sought after for jewellery), and cave systems. In the sandstone-dominated Dark Peak District, we will show you where traditional millstone manufacturing took place, and we will explain why we find many large landslides in this region. 

Modern industry is in the form of limestone quarrying and cement production – industry that pre-dated the formation of the National Park and is therefore continuing to this day. The road along which cement was transported in a westerly direction went along the Mam Tor, or Shivering Mountain, that overlooks the Castleton valley. Unfortunately, the road was positioned on top of an active landslide and in the mid-1970s it was finally decided that it was no longer economical to keep the road open. We will visit the landslide and the old road and will investigate its deformation behaviour. 

In addition to discussing how the landscape is influencing lives and livelihoods, we will also set aside time to show you one of the finest examples of stately homes in this gorgeous part of England - . It will be a full-day adventure that will require some stout footwear and, possibly, warm clothing.