Dr Ji Li

Darlithydd Afonydd ZCCE, Civil Engineering

+44 (0) 1792 205678 ext 1885

ji.li@abertawe.ac.uk

107
Llawr Cyntaf
Y Sefydliad Ymchwil Diogelwch Ynni
Campws y Bae

Ar gael ar gyfer Goruchwyliaeth Ôl-raddedig

Dolenni Ymchwil

https://orcid.org/0000-0003-4328-3197

Trosolwg

Ar hyn o bryd mae Dr Ji Li yn Ddarlithydd mewn Peirianneg Afonydd yng Nghanolfan Peirianneg Gyfrifiannol Zienkiewicz, Prifysgol Abertawe. Cyn ymuno ag Abertawe yn 2019, bu'n Gymrawd Ymchwil ym Mhrifysgol Wuhan, Tsieina. Enillodd radd PhD o Brifysgol Heriot-Watt, y DU, lle bu hefyd yn gweithio fel Cydymaith Ymchwil ar ôl cwblhau astudiaethau PhD. Derbyniodd radd PhD mewn Hydroleg a Pheirianneg Afonydd ym Mhrifysgol Wuhan hefyd.

Prif ddiddordeb ymchwil Ji yw modelu mathemategol o lifau dŵr bas mewn amgylcheddau dŵr wyneb, gan gynnwys llifoedd afonol a llifoedd màs geoffisegol fel llifoedd malurion a thirlithriadau. Ei weledigaeth ymchwil yw datblygu model rhifiadol perfformiad uchel wedi'i wella'n ffisegol i efelychu a deall y prosesau morffodynamig-hydro-gwaddod, a'i gymhwyso i liniaru risgiau oherwydd llifogydd, tirlithriadau a llifoedd malurion.

Meysydd Arbenigedd

Modelu cypledig o brosesau morffodynamig-hydro-gwaddod
Geoberyglon: Tirlithriadau, Llifoedd malurion, Barlynnoedd yn ffurfio a gorlifo
Rheoli peryglon llifogydd: Fflachlifogydd; Llifogydd trefol
Dulliau rhifyddol a chyfrifiadura perfformiad uchel

Cyhoeddiadau

Uchafbwyntiau Ymchwil

Hu, P., Lyu, B., Li, J., Sun, M., Li, W., & Cao, Z. (2022). A new two-phase shallow water hydro-sediment-morphodynamic model based on the HLLC solver and the hybrid LTS/GMaTS approach. Advances in Water Resources, 166, 104254
https://doi.org/10.1016/j.advwatres.2022.104254, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60179
Sun, Y., Li, J., Cao, Z., Borthwick, A., & Józsa, J. (2022). Effect of tributary inflow on reservoir turbidity current. Environmental Fluid Mechanics, 23
https://doi.org/10.1007/s10652-022-09856-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59842
Li, J., Cao, Z., & Borthwick, A. (2022). Quantifying multiple uncertainties in modelling shallow water-sediment flows: A stochastic Galerkin framework with Haar wavelet expansion and an operator-splitting approach. Applied Mathematical Modelling, 106, 259-275.
https://doi.org/10.1016/j.apm.2022.01.032, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59631
Li, J., Cao, Z., & Borthwick, A. (2021). Uncertainty quantification in shallow water-sediment flows: A stochastic Galerkin shallow water hydro-sediment-morphodynamic model. Applied Mathematical Modelling, 99, 458-477.
https://doi.org/10.1016/j.apm.2021.06.031, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57284
Li, J., Cao, Z., Cui, Y., Fan, X., Yang, W., Huang, W., & Borthwick, A. (2021). Hydro-sediment-morphodynamic processes of the baige landslide-induced barrier Lake, Jinsha River, China. Journal of Hydrology, 596, 126134
https://doi.org/10.1016/j.jhydrol.2021.126134, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56347
Li, J., Cao, Z., Cui, Y., & Borthwick, A. (2020). Barrier lake formation due to landslide impacting a river: A numerical study using a double layer-averaged two-phase flow model. Applied Mathematical Modelling, 80, 574-601.
https://doi.org/10.1016/j.apm.2019.11.031, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53129
Cao, Z., Li, J., Borthwick, A., Liu, Q., & Pender, G. (2020). Grain‐energy release governs mobility of debris flow due to solid–liquid mass release. Earth Surface Processes and Landforms, 45(12), 2912-2926.
https://doi.org/10.1002/esp.4939, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54587
Xia, C., Li, J., Cao, Z., Liu, Q., & Hu, K. (2018). A quasi single-phase model for debris flows and its comparison with a two-phase model. Journal of Mountain Science, 15(5), 1071-1089.
https://doi.org/10.1007/s11629-018-4886-5, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54588
Li, J., Cao, Z., Hu, K., Pender, G., & Liu, Q. (2018). A depth‐averaged two‐phase model for debris flows over erodible beds. Earth Surface Processes and Landforms, 43(4), 817-839.
https://doi.org/10.1002/esp.4283, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54589
Li, J., Cao, Z., Pender, G., & Liu, Q. (2013). A double layer-averaged model for dam-break flows over mobile bed. Journal of Hydraulic Research, 51(5), 518-534.
https://doi.org/10.1080/00221686.2013.812047, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54590

Holl Ymchwil

Erthyglau Cylchgronau

Sun, Y., Li, J., Cao, Z., Liu, J., Xu, H., & Borthwick, A. (2024). Modelling reservoir sediment flushing through a bottom tunnel with an initially covered intake. Applied Mathematical Modelling, 125, 425-443.
https://doi.org/10.1016/j.apm.2023.10.018, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64708
http://dx.doi.org/10.1016/j.apm.2023.10.018
Sun, Y., Li, J., Cao, Z., & Borthwick, A. (2023). A two-dimensional double layer-averaged model of hyperconcentrated turbidity currents with non-Newtonian rheology. International Journal of Sediment Research, 38(6), 794-810.
https://doi.org/10.1016/j.ijsrc.2023.08.002, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64107
http://dx.doi.org/10.1016/j.ijsrc.2023.08.002
Cheng, X., Cao, Z., Li, J., & Borthwick, A. (2023). A numerical study of the settling of non-spherical particles in quiescent water. Physics of Fluids, 35(9)
https://doi.org/10.1063/5.0165555, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64684
http://dx.doi.org/10.1063/5.0165555
Yao, H., Zhao, S., Gao, Z., Xue, Z., Song, B., Li, F., Li, J., Liu, Y., Hou, Y., & Wang, L. (2023). Data-driven analysis on the subbase strain prediction: A deep data augmentation-based study. Transportation Geotechnics, 40, 100957
https://doi.org/10.1016/j.trgeo.2023.100957, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62655
Sun, Y., Li, J., Cao, Z., & Borthwick, A. (2022). Vertically layered flow structure at confluence of a reservoir and tributary carrying high sediment loads. Frontiers in Earth Science, 10
https://doi.org/10.3389/feart.2022.924005, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61370
Hu, P., Lyu, B., Li, J., Sun, M., Li, W., & Cao, Z. (2022). A new two-phase shallow water hydro-sediment-morphodynamic model based on the HLLC solver and the hybrid LTS/GMaTS approach. Advances in Water Resources, 166, 104254
https://doi.org/10.1016/j.advwatres.2022.104254, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60179
Li, J., Cao, Z., & Borthwick, A. (2022). Quantifying multiple uncertainties in modelling shallow water-sediment flows: A stochastic Galerkin framework with Haar wavelet expansion and an operator-splitting approach. Applied Mathematical Modelling, 106, 259-275.
https://doi.org/10.1016/j.apm.2022.01.032, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59631
Sun, Y., Li, J., Cao, Z., Borthwick, A., & Józsa, J. (2022). Effect of tributary inflow on reservoir turbidity current. Environmental Fluid Mechanics, 23
https://doi.org/10.1007/s10652-022-09856-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59842
Li, J., Cao, Z., & Borthwick, A. (2021). Uncertainty quantification in shallow water-sediment flows: A stochastic Galerkin shallow water hydro-sediment-morphodynamic model. Applied Mathematical Modelling, 99, 458-477.
https://doi.org/10.1016/j.apm.2021.06.031, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57284
Li, J., Cao, Z., Cui, Y., Fan, X., Yang, W., Huang, W., & Borthwick, A. (2021). Hydro-sediment-morphodynamic processes of the baige landslide-induced barrier Lake, Jinsha River, China. Journal of Hydrology, 596, 126134
https://doi.org/10.1016/j.jhydrol.2021.126134, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56347
Cao, Z., Li, J., Borthwick, A., Liu, Q., & Pender, G. (2020). Grain‐energy release governs mobility of debris flow due to solid–liquid mass release. Earth Surface Processes and Landforms, 45(12), 2912-2926.
https://doi.org/10.1002/esp.4939, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54587
Li, J., Cao, Z., Cui, Y., & Borthwick, A. (2020). Barrier lake formation due to landslide impacting a river: A numerical study using a double layer-averaged two-phase flow model. Applied Mathematical Modelling, 80, 574-601.
https://doi.org/10.1016/j.apm.2019.11.031, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53129
Li, J., Cao, Z., Qian, H., Liu, Q., & Pender, G. (2019). A depth-averaged two-phase model for fluvial sediment-laden flows over erodible beds. Advances in Water Resources, 129, 338-353.
https://doi.org/10.1016/j.advwatres.2017.08.014, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51811
Li, J., Cao, Z., & Liu, Q. (2019). Waves and Sediment Transport Due to Granular Landslides Impacting Reservoirs. Water Resources Research, 55(1), 495-518.
https://doi.org/10.1029/2018WR023191, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51727
Li, J., Cao, Z., Hu, K., Pender, G., & Liu, Q. (2018). A depth-averaged two-phase model for debris flows over fixed beds. International Journal of Sediment Research, 33(4), 462-477.
https://doi.org/10.1016/j.ijsrc.2017.06.003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51814
Xia, C., Li, J., Cao, Z., Liu, Q., & Hu, K. (2018). A quasi single-phase model for debris flows and its comparison with a two-phase model. Journal of Mountain Science, 15(5), 1071-1089.
https://doi.org/10.1007/s11629-018-4886-5, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54588
Li, J., Cao, Z., Hu, K., Pender, G., & Liu, Q. (2018). A depth‐averaged two‐phase model for debris flows over erodible beds. Earth Surface Processes and Landforms, 43(4), 817-839.
https://doi.org/10.1002/esp.4283, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54589
Li, J., Cao, Z., Hu, K., Pender, G., & Liu, Q. (2018). A depth-averaged two-phase model for debris flows over erodible beds. Earth Surface Processes and Landforms, 43(4), 817-839.
https://doi.org/10.1002/esp.4283, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51802
Cao, Z., Li, J., Pender, G., & Liu, Q. (2015). Whole-Process Modeling of Reservoir Turbidity Currents by a Double Layer-Averaged Model. Journal of Hydraulic Engineering, 141(2)
https://doi.org/10.1061/(ASCE)HY.1943-7900.0000951, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51803
Li, J., Cao, Z., Pender, G., & Liu, Q. (2013). A double layer-averaged model for dam-break flows over mobile bed. Journal of Hydraulic Research, 51(5), 518-534.
https://doi.org/10.1080/00221686.2013.812047, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54590

Goruchwyliaeth

Interpretable Machine Learning Modelling of Future Hydroclimatic Extremes under Climate Change (cyfredol)

PhD

Goruchwyliwr arall: Dr Yunqing Xuan

Modiwlau a Addysgir

EG-000 Fundamentals of Engineering Design

This module provides the essential skills required for future design modules and project tasks by providing a firm grounding for teamwork and emphasizing the need for professional standards and strong communication skills within engineering.
EG-201 Fluid Mechanics II

This module aims to create an interest in fluid flow, to show that flow phenomena are amenable to analysis, to show the relevance of fluid mechanics to Civil Engineering and to create confidence and ability in problem-solving in fluid mechanics.
EG-3065 Civil Engineering Design Practice and Management II

Civil Engineering projects can be amongst the most complex projects you can find in any sphere of work. An understanding of the different elements of a project from conceptual design through to construction requires consideration of design efficiency, buildability and effective risk management. This module will cover a number of design design elements such as civils, superstructure, drainage and foundation design, together with consideration of the practicality of project delivery. The design work is linked with typical construction activities such as programming, method and site logistics to provide students with a realistic experiences of the whole project.
EG-329 Hydrology and Unsteady Flow

This module comprises two components: Hydrology (80%) and Water Engineering Design (20%) Hydrology: 1. Introduction of important concepts in hydrology, such as hydrological cycle, rainfall runoff process, hydrological design; 2. Ensuring students to be able to solve common hydrological problems following the general practice guideline in engineering hydrology; 3. Encouraging critical thinking on issues related to development issues, with special emphasis on water supply problems under the climate change impacts. Water Engineering Design:Storm water design calculations. Design of paved and roof drainage systems. Application of rational method hydrology open channel flow in urban drainage. Preliminary design calculations. British and Eurocode applications. Case studies and design of SuDs components

Dr Ji Li

Rhif ffôn

Cyfeiriad ebost

Dolenni Ymchwil

Trosolwg

Meysydd Arbenigedd

Cyhoeddiadau

Uchafbwyntiau Ymchwil

Holl Ymchwil

Erthyglau Cylchgronau

Goruchwyliaeth

Interpretable Machine Learning Modelling of Future Hydroclimatic Extremes under Climate Change (cyfredol)

Modiwlau a Addysgir

EG-000 Fundamentals of Engineering Design

EG-201 Fluid Mechanics II

EG-3065 Civil Engineering Design Practice and Management II

EG-329 Hydrology and Unsteady Flow