Overview
Arthur graduated as a civil engineer and researcher and have participated in research in water quality modelling, flood mitigation, transient-based defect detection in water supply systems and hydrodynamic stability theories. My current research involves mechanistic and Artificial Intelligence (AI) models for sustainable development and public information concerning water quality. The key research questions are:
- Mechanistic model assumptions in coastal waters: There is no general consensus concerning the turbulence and bacteria decay models suitable for coastal waters. While the suitability of these models are site and bacteria dependent, factors governing the use of such models require clarification.
- AI models: AI models require less computational power and obtain water quality predictions quicker than mechanistic models. Nonlinear AI models are being developed to better predict bathing water quality, especially faecal indicator bacteria concentrations.
I am also a member of the International Association for Hydro-environment Engineering and Research (IAHR).
Publication
2024
- Lam, M. Y. and Ahmadian, R. 2024. Enhancing hydro-epidemiological modelling of nearshore coastal waters with source-receptor connectivity study. Environmental Pollution 345, article number: 123431. (10.1016/j.envpol.2024.123431)
- Pregnolato, M., West, C., Evans, B., Lam, M., Chen, A., Ahmadian, R. and Djordjevic, S. 2024. Using multi-stakeholder causal mapping to explore priorities for infrastructure resilience to flooding. International Journal of Disaster Risk Reduction 101, article number: 104189. (10.1016/j.ijdrr.2023.104189)
- Evans, B., Lam, M., West, C., Ahmadian, R., Djordjevic, S., Chen, A. and Pregnolato, M. 2024. A combined stability function to quantify flood risks to pedestrians and vehicle occupants. Science of the Total Environment 908, article number: 168237. (10.1016/j.scitotenv.2023.168237)
2023
- Lam, M. and Ahmadian, R. 2023. Predicting fecal-indicator organisms in coastal waters using a complex nonlinear artificial intelligence model. Journal of Environmental Engineering 149(2) (10.1061/JOEEDU.EEENG-6986)
2021
- Yan, H., Lam, M. and Lee, J. H. 2021. Field measurements and numerical modeling of hydraulic transients in HDPE pipeline with PRV interaction. Journal of Hydraulic Engineering 147(6), article number: 4021018. (10.1061/(ASCE)HY.1943-7900.0001873)
2019
- Lam, M. Y., Ghidaoui, M. S. and Kolyshkin, A. A. 2019. Hydraulics of shallow shear flows: onset, development and practical relevance. Environmental Fluid Mechanics 19(5), pp. 1121–1142. (10.1007/s10652-019-09682-0)
- Arega, F., Lam, M. Y. and Lee, J. H. W. 2019. Supercritical stormwater flow interception through bottom rack with transverse barrier. Journal of Irrigation and Drainage Engineering 145(4), article number: 5019002. (10.1061/(ASCE)IR.1943-4774.0001371)
2016
- Lam, M. Y., Ghidaoui, M. S. and Kolyshkin, A. A. 2016. The roll-up and merging of coherent structures in shallow mixing layers. Physics of Fluids 28(9), article number: 94103. (10.1063/1.4960391)
2014
- Lam, M. Y. and Ghidaoui, M. S. 2014. Fourier analysis of the roll-up and merging of coherent structures in shallow mixing layers. Environmental Fluid Mechanics 14(5), pp. 997-1026. (10.1007/s10652-014-9371-2)
2010
- Lam, M., Liu, H. and Ghidaoui, M. 2010. The sensitivity of shallow mixing layers to upstream perturbations and its implication to numerical code validation. Journal of Hydrodynamics 22(S1), pp. 639-645. (10.1016/S1001-6058(10)60011-X)
- Lam, M. Y., Liu, H. W. and Ghidaoui, M. S. 2010. Investigation of temporal mixing layer in shallow water with BGK algorithm. Journal of Hydro-environment Research 4(2), pp. 123-129. (10.1016/j.jher.2010.04.007)
- Liu, H., Lam, M. Y. and Ghidaoui, M. S. 2010. A numerical study of temporal shallow mixing layers using BGK-based schemes. Computers and Mathematics with Applications 59(7), pp. 2393-2402. (10.1016/j.camwa.2009.08.046)
Articles
- Lam, M. Y. and Ahmadian, R. 2024. Enhancing hydro-epidemiological modelling of nearshore coastal waters with source-receptor connectivity study. Environmental Pollution 345, article number: 123431. (10.1016/j.envpol.2024.123431)
- Pregnolato, M., West, C., Evans, B., Lam, M., Chen, A., Ahmadian, R. and Djordjevic, S. 2024. Using multi-stakeholder causal mapping to explore priorities for infrastructure resilience to flooding. International Journal of Disaster Risk Reduction 101, article number: 104189. (10.1016/j.ijdrr.2023.104189)
- Evans, B., Lam, M., West, C., Ahmadian, R., Djordjevic, S., Chen, A. and Pregnolato, M. 2024. A combined stability function to quantify flood risks to pedestrians and vehicle occupants. Science of the Total Environment 908, article number: 168237. (10.1016/j.scitotenv.2023.168237)
- Lam, M. and Ahmadian, R. 2023. Predicting fecal-indicator organisms in coastal waters using a complex nonlinear artificial intelligence model. Journal of Environmental Engineering 149(2) (10.1061/JOEEDU.EEENG-6986)
- Yan, H., Lam, M. and Lee, J. H. 2021. Field measurements and numerical modeling of hydraulic transients in HDPE pipeline with PRV interaction. Journal of Hydraulic Engineering 147(6), article number: 4021018. (10.1061/(ASCE)HY.1943-7900.0001873)
- Lam, M. Y., Ghidaoui, M. S. and Kolyshkin, A. A. 2019. Hydraulics of shallow shear flows: onset, development and practical relevance. Environmental Fluid Mechanics 19(5), pp. 1121–1142. (10.1007/s10652-019-09682-0)
- Arega, F., Lam, M. Y. and Lee, J. H. W. 2019. Supercritical stormwater flow interception through bottom rack with transverse barrier. Journal of Irrigation and Drainage Engineering 145(4), article number: 5019002. (10.1061/(ASCE)IR.1943-4774.0001371)
- Lam, M. Y., Ghidaoui, M. S. and Kolyshkin, A. A. 2016. The roll-up and merging of coherent structures in shallow mixing layers. Physics of Fluids 28(9), article number: 94103. (10.1063/1.4960391)
- Lam, M. Y. and Ghidaoui, M. S. 2014. Fourier analysis of the roll-up and merging of coherent structures in shallow mixing layers. Environmental Fluid Mechanics 14(5), pp. 997-1026. (10.1007/s10652-014-9371-2)
- Lam, M., Liu, H. and Ghidaoui, M. 2010. The sensitivity of shallow mixing layers to upstream perturbations and its implication to numerical code validation. Journal of Hydrodynamics 22(S1), pp. 639-645. (10.1016/S1001-6058(10)60011-X)
- Lam, M. Y., Liu, H. W. and Ghidaoui, M. S. 2010. Investigation of temporal mixing layer in shallow water with BGK algorithm. Journal of Hydro-environment Research 4(2), pp. 123-129. (10.1016/j.jher.2010.04.007)
- Liu, H., Lam, M. Y. and Ghidaoui, M. S. 2010. A numerical study of temporal shallow mixing layers using BGK-based schemes. Computers and Mathematics with Applications 59(7), pp. 2393-2402. (10.1016/j.camwa.2009.08.046)
Research
Research Interest
Hydro-environmental modelling; Artificial Intelligence (AI) modelling; Flood modelling and evacuation; Turbulence; Hydrodynamic stability theory
Participation in Research Projects
Title | Principal Investigator(s) | Funder | Project Sum | Duration |
AI modelling with data up-sampling for lakes in Turkey | Lam MY, Ahmadian R | HEFCW |
£39,863 |
01/04/2024- 31/03/2025 |
TidAl Range schemes as configurable Grid-scale Energy sTorage facilities (TARGET) | Ahmadian R (Project lead & PI), Qadrda M, Yue Z, Munday M | EPSRC |
Total: £1.4M CU: £732k |
01/01/2023-31/12/2024 |
Marine Energy Engineering Centre of Excellence (MEECE) | Ahmadian R, Mason-Jones A., et al. | WEFO | £1.15M | 1/10/2021-31/05/2023 |
Turnover Response System Development | Ahmadian R | Royal Academy of Engineering | £19,019 | 01/04/2020- 28/02/2023 |
Studies on disaster-causing mechanisms and disaster reduction countermeasures of urban flooding in China and the UK |
Ahmadian R, Falconer RA | Royal Academy of Engineering | £197,224 | 01/04/2018- 30/3/2022 |
Flood Resilience for the TRANsport Sector (FR-TRANS) | Pregnolato M (University of Bristol) | GW4 Generator Fund | £19,988.05 | 01/06/2021-30/11/2021 |
Promoting Energy-water Nexus resource efficiency through Renewable Energy and Energy Efficiency (EERES4WATER) - Subproject for Cardiff University | Ahmadian R (Cardiff University, CU) | EU INTERREG Atlantic Area |
Total: £2.69M CU: £283k |
01/04/2019 - 31/03/2022 |
Smart Urban Water Supply Systems | Ghidaoui M S (HKUST) | Hong Kong Resaerch Grant Council | £3,074,911 | 01/01/2016 - 31/12/2021 |
Teaching
Cardiff University:
- Module contributor, EN4571 - Flood Design (2023-now)
- Module contributor, EN2026 - Engineering Analysis (2023-now)
- Assisting in supervising an Undergraduate Final Year Project student in Artificial Intelligence (2020-2021)
Hong Kong University of Science and Technology:
- Assisting in supervising over five Undergraduate Final Year Project students in Pipe Transients and Open Channel Flows
- Teaching Assistant in taught Master and Undergraduate courses in Fluid Mechanics and Hydraulics
Biography
Experience
2023-now: Lecturer - teaching and research, Cardiff University
2019-2023: Research Associate, Cardiff University
2016-2019: Research Associate, HKUST
2015-2016: Reserach Associate, HK Polytechnic University
2007-2015: Teaching assistant for numerous Fluid Mechanics and Hydraulics courses in HKUST
Education
2015: PhD in Civil and Environemntal Engineering, Hong Kong University of Science and Technology (HKUST)
2007: BEng in Civil and Structural Engineering, HKUST
Contact Details
Queen's Buildings - South Building, Room S1.39, 5 The Parade, Newport Road, Cardiff, CF24 3AA