Xilin Xia

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University of Birmingham

United Kingdom

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Recent Grants

Grant: Close

River basins as 'living laboratories' for achieving sustainable development goals across national and sub-national scales

Open Date: 2019-02-01

Close Date: 2021-01-31

Grant: Close

FUTURE-DRAINAGE: Ensemble climate change rainfall estimates for sustainable drainage

Open Date: 2019-02-01

Close Date: 2020-01-31

Articles (12)

Year:

2025

Year:

2024

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Collaborators (6)

Huili Chen

Lecturer of Water Engineering

Loughborough University

UNITED KINGDOM

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Ilhan Özgen Xian

Assistant Professor

Technische Universität Braunschweig

GERMANY

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Qiuhua Liang

Prof

Loughborough University

UNITED KINGDOM

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Jiren Xu

Lecturer in Remote Sensing & GIS

University of Glasgow

UNITED KINGDOM

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Andrea Soltoggio

Reader

Loughborough University

UNITED KINGDOM

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Lee Bosher

Professor of Risk

University of Leicester

UNITED KINGDOM

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Xilin Xia

Research Interests

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Recent Grants

Articles (12)

SynxFlow: A GPU-accelerated Python package for multi-hazard simulations

A coupled hydrological and hydrodynamic modeling approach for estimating rainfall thresholds of debris-flow occurrence

Large-scale flood risk assessment under different development strategies: the Luanhe River Basin in China

A coupled discrete element and depth-averaged model for dynamic simulation of flow-like landslides

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

Development of an SDG interlinkages analysis model at the river basin scale: a case study in the Luanhe River Basin, China

A coupled hydrodynamic and particle-tracking model for full-process simulation of nonpoint source pollutants

Innovations towards the next generation of shallow flow models

Movement process analysis of the high-speed long-runout Shuicheng landslide over 3-D complex terrain using a depth-averaged numerical model

A deep convolutional neural network model for rapid prediction of fluvial flood inundation

A multi-scale mapping approach based on a deep learning CNN model for reconstructing high-resolution urban DEMs

A novel 1D-2D coupled model for hydrodynamic simulation of flows in drainage networks

Collaborators (6)

Huili Chen

Ilhan Özgen Xian

Qiuhua Liang

Jiren Xu

Andrea Soltoggio

Lee Bosher

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