Xiaodong Ming

Xiaodong Ming

Loughborough University

H-index: 9

Europe-United Kingdom

About Xiaodong Ming

Xiaodong Ming, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Loughborough University, specializes in the field of Hydrodynamic modelling, Flood forecasting, Disaster risk assessment, Compound flooding.

His recent articles reflect a diverse array of research interests and contributions to the field:

Hydrodynamic analysis of the impact of changes from precipitation extremes to surface water flooding in future climates

The amplification effect of unreasonable human behaviours on natural disasters

A quantitative multi-hazard risk assessment framework for compound flooding considering hazard inter-dependencies and interactions

Flood-prepared: a nowcasting system for real-time impact adaption to surface water flooding in cities

Real‐time flood forecasting based on a high‐performance 2D hydrodynamic model and numerical weather predictions

Xiaodong Ming Information

University

Position

School of Architecture Building and Civil Engineering

Citations(all)

811

Citations(since 2020)

660

Cited By

323

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Xiaodong Ming Skills & Research Interests

Hydrodynamic modelling

Flood forecasting

Disaster risk assessment

Compound flooding

Top articles of Xiaodong Ming

Hydrodynamic analysis of the impact of changes from precipitation extremes to surface water flooding in future climates

EGU General Assembly Conference Abstracts

2023/5

Xiaodong Ming
Xiaodong Ming

H-Index: 7

Qiuhua Liang
Qiuhua Liang

H-Index: 24

The amplification effect of unreasonable human behaviours on natural disasters

Humanities and Social Sciences Communications

2022/9/20

A quantitative multi-hazard risk assessment framework for compound flooding considering hazard inter-dependencies and interactions

Journal of Hydrology

2022/4/1

Flood-prepared: a nowcasting system for real-time impact adaption to surface water flooding in cities

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2020/9/15

Real‐time flood forecasting based on a high‐performance 2D hydrodynamic model and numerical weather predictions

Water Resources Research

2020/5

See List of Professors in Xiaodong Ming University(Loughborough University)

Co-Authors

academic-engine