Mingfu Guan

ORCID: 0000-0002-5684-4697
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About
Contact & Profiles
Research Areas
  • Flood Risk Assessment and Management
  • Hydrology and Watershed Management Studies
  • Landslides and related hazards
  • Hydrology and Sediment Transport Processes
  • Urban Stormwater Management Solutions
  • Disaster Management and Resilience
  • Dam Engineering and Safety
  • Soil erosion and sediment transport
  • Water Quality and Pollution Assessment
  • Fluid Dynamics Simulations and Interactions
  • Tropical and Extratropical Cyclones Research
  • Geological formations and processes
  • Hydrology and Drought Analysis
  • Lattice Boltzmann Simulation Studies
  • Urban Heat Island Mitigation
  • Granular flow and fluidized beds
  • Plant Water Relations and Carbon Dynamics
  • Cryospheric studies and observations
  • Hydrological Forecasting Using AI
  • Hydraulic Fracturing and Reservoir Analysis
  • Evacuation and Crowd Dynamics
  • Fluid Dynamics and Turbulent Flows
  • Hydraulic flow and structures
  • Groundwater flow and contamination studies
  • Meteorological Phenomena and Simulations

University of Hong Kong
2019-2025

Chinese University of Hong Kong
2020-2024

City University of Hong Kong, Shenzhen Research Institute
2022-2024

HKU-Pasteur Research Pole
2024

Natural Resources Institute Finland
2019

Loughborough University
2016-2017

University of Leeds
2013-2016

Aalto University
2014-2015

Abstract Urbanization strongly changes natural catchment by increasing impervious coverage and creating a need for efficient drainage systems. Such land cover lead to more rapid hydrological response storms change distribution of peak low flows. This study aims explore assess how gradual occur during urban development from rural area medium‐density residential catchment. The Stormwater Management Model (SWMM) is utilized simulate series scenarios in same developing Sub‐hourly...

10.1002/hyp.10410 article EN Hydrological Processes 2014-12-09

Abstract This study explored the hydrological impacts of urbanization, rainfall pattern and magnitude in a developing catchment. The Stormwater Management Model was parameterized, calibrated validated three development phases, which had same catchment area (12.3 ha) but different land use intensities. model calibration validation by using sub‐hourly hydro‐meteorological data demonstrated good performance predicting stormwater runoff phases. Based on results, threshold between minor major...

10.1002/hyp.10624 article EN Hydrological Processes 2015-07-22

A study of floodplain sedimentation on a recently restored is presented. This uses two‐dimensional hydro‐morphodynamic model for predicting flow and suspended‐sediment dynamics in the downstream Johnson Creek, East Lents reach, where bank river has been reconfigured to reconnect 0.26 km 2 (26‐ha) site. The simulation scenarios include 10‐, 50‐, 100‐ 500‐year event‐based deposition modelling flood events long‐term using 64 historical between 1941 2014. Simulation results showed that...

10.1111/jfr3.12251 article EN cc-by Journal of Flood Risk Management 2016-05-18

Abstract Flexible, slit, and rigid barriers are common countermeasures to mitigate natural geophysical mass flows, but presently, quantitative comparisons of their performance lacking, due the challenges involved in accurately representing multi‐body multi‐phase interactions. This study presents a numerical appraisal on this issue using physics‐based coupled computational fluid dynamics discrete element method (CFD‐DEM). A flow is considered as mixture gap‐graded particles (DEM) continuous...

10.1029/2021jf006587 article EN Journal of Geophysical Research Earth Surface 2022-06-01

10.1016/j.ijdrr.2023.103780 article EN International Journal of Disaster Risk Reduction 2023-06-03

Abstract Intensification of short‐duration rainfall extremes contributes to increased urban flood risk. Yet, it remains unclear how upper‐tail statistics could change with regional warming. Here, we characterize the non‐stationarity over durations 1–24 hr for rapidly developing coastal megalopolis Greater Bay Area, China. Using high‐resolution, multi‐source, merged and gridded data observe greater increases in intensities north‐central part region compared southern region. Our results show,...

10.1029/2024gl108565 article EN cc-by Geophysical Research Letters 2024-03-06

This study quantifies the effects of common stormwater management techniques on urban runoff generation. Simulated flow rates for different low impact development (LID) scenarios were compared with observed during construction phases in a catchment (12.3 ha) that was developed from natural forest to residential area over monitoring period 5 years. The Storm Water Management Model (SWMM) calibrated and validated against fully conditions, it then applied parameterize LID measures produce their...

10.2166/wst.2015.129 article EN Water Science & Technology 2015-03-19

Inundation models based on the shallow water equations (SWE) have been shown to perform well for a wide variety of situations even at limit their theoretical applicability and, arguably, somewhat beyond. One these is catastrophic event floods induced by dyke breach and consequent erosion. The collapse often not sudden—as assumed many flood simulations in which boundary treated as "dam-break." erosion gradual complex process that delays onset flood, affecting hydrograph flow. To simulate...

10.1061/(asce)hy.1943-7900.0000861 article EN Journal of Hydraulic Engineering 2014-03-12

Abstract. Vegetation is known to have strong influence on evapotranspiration (ET), a major component of terrestrial water balance. Yet hydrological models often describe ET by methods unable include the variability vegetation characteristics in their predictions. To take advantage increasing availability high-resolution open GIS data land use, and soil boreal zone, modular, spatially distributed model for predicting other processes from grid cell catchment level presented validated. An...

10.5194/hess-23-3457-2019 article EN cc-by Hydrology and earth system sciences 2019-08-26

Efficient and accurate flood inundation mapping is essential for risk assessment, emergency response, community safety. The deep learning-enabled rapid simulation demonstrates superior computational efficiency compared to traditional hydrodynamic models. However, most learning-based models currently focus on predicting the maximum water depth face challenges in generalizing rainfall events of different durations. This paper proposes a fast method based image super-resolution, utilizing novel...

10.1080/19942060.2025.2481115 article EN cc-by-nc Engineering Applications of Computational Fluid Mechanics 2025-03-25
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