Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Research Publications

Publications for Xilin Xia

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Journal Articles

Özgen-Xian, I, Xia, X, Liang, Q, Hinkelmann, R, Liang, D, Hou, J (2021) Innovations towards the next generation of shallow flow models, Advances in Water Resources, pp.103867-103867, ISSN: 0309-1708. DOI: 10.1016/j.advwatres.2021.103867.

Jiang, J, Liang, Q, Xia, X, Hou, J (2020) A coupled hydrodynamic and particle-tracking model for full-process simulation of nonpoint source pollutants, Environmental Modelling & Software, 136, 104951, ISSN: 1364-8152. DOI: 10.1016/j.envsoft.2020.104951.

Kabir, S, Patidar, S, Xia, X, Liang, Q, Neal, J, Pender, G (2020) A deep convolutional neural network model for rapid prediction of fluvial flood inundation, Journal of Hydrology, 590, 125481, ISSN: 0022-1694. DOI: 10.1016/j.jhydrol.2020.125481.

Ming, X, Liang, Q, Xia, X, Li, D, Fowler, HJ (2020) Real‐time flood forecasting based on a high‐performance 2D hydrodynamic model and numerical weather predictions, Water Resources Research, 56(7), e2019WR025583, ISSN: 0043-1397. DOI: 10.1029/2019wr025583.

Zounemat-Kermani, M, Matta, E, Cominola, A, Xia, X, Zhang, Q, Liang, Q, Hinkelmann, R (2020) Neurocomputing in surface water hydrology and hydraulics: a review of two decades retrospective, current status and future prospects, Journal of Hydrology, 588, 125085, ISSN: 0022-1694. DOI: 10.1016/j.jhydrol.2020.125085.

Jiang, L, Hu, Y, Xia, X, Liang, Q, Soltoggio, A, Kabir, S (2020) A multi-scale mapping approach based on a deep learning CNN model for reconstructing high-resolution urban DEMs, Water, 12(5), 1369, DOI: 10.3390/w12051369.

Li, Q, Liang, Q, Xia, X (2020) A novel 1D-2D coupled model for hydrodynamic simulation of flows in drainage networks, Advances in Water Resources, 137, pp.103519-103519, ISSN: 0309-1708. DOI: 10.1016/j.advwatres.2020.103519.

Cui, Y, Liang, Q, Wang, G, Zhao, J, Hu, J, Wang, Y, Xia, X (2019) Simulation of hydraulic structures in 2D high-resolution urban flood modeling, Water, 11(10), 2139, DOI: 10.3390/w11102139.

Xia, X, Liang, Q, Ming, X (2019) A full-scale fluvial flood modelling framework based on a high-performance integrated hydrodynamic modelling system (HiPIMS), Advances in Water Resources, 132, 103392, ISSN: 0309-1708. DOI: 10.1016/j.advwatres.2019.103392.

Flack, D, Skinner, C, Hawkness-Smith, L, O’Donnell, G, Thompson, R, Waller, J, Chen, A, Moloney, J, Largeron, C, Xia, X, Blenkinsop, S, Champion, A, Perks, M, Quinn, N, Speight, L (2019) Recommendations for Improving Integration in National End-to-End Flood Forecasting Systems: An Overview of the FFIR (Flooding From Intense Rainfall) Programme, Water, 11(4), pp.725-725, DOI: 10.3390/w11040725.

Xia, X and Liang, Q (2018) A new efficient implicit scheme for discretising the stiff friction terms in the shallow water equations, Advances in Water Resources, 117, pp.87-97, ISSN: 0309-1708. DOI: 10.1016/j.advwatres.2018.05.004.

Xia, X and Liang, Q (2018) A new depth-averaged model for flow-like landslides over complex terrains with curvatures and steep slopes, Engineering Geology, 234, pp.174-191, ISSN: 0013-7952. DOI: 10.1016/j.enggeo.2018.01.011.

Xia, X, Liang, Q, Ming, X, Hou, J (2018) Reply to comment by Lu et al. on “An efficient and stable hydrodynamic model with novel source term discretization schemes for overland flow and flood simulations”, Water Resources Research, 54(1), pp.628-630, ISSN: 0043-1397. DOI: 10.1002/2017WR021696.

Xing, Y, Liang, Q, Wang, G, Ming, X, Xia, X (2018) City-scale hydrodynamic modelling of urban flash floods: the issues of scale and resolution, Natural Hazards, ISSN: 0921-030X. DOI: 10.1007/s11069-018-3553-z.

Dai, Z, Xia, X, Wang, F (2017) Report on the 15th international symposium on geo-disaster reduction, 25–30 august 2017, Oki Islands - Matsue - Kyoto, Japan, Geoenvironmental Disasters, 4(1), 21, DOI: 10.1186/s40677-017-0085-x.

Xia, X, Liang, Q, Ming, X, Hou, J (2017) An efficient and stable hydrodynamic model with novel source term discretization schemes for overland flow and flood simulations, Water Resources Research, 53(5), pp.3730-3759, ISSN: 0043-1397. DOI: 10.1002/2016WR020055.

Liang, Q, Smith, L, Xia, X (2016) New prospects for computational hydraulics by leveraging high-performance heterogeneous computing techniques, Journal of Hydrodynamics, Ser. B, 28(6), pp.977-985, ISSN: 1001-6058. DOI: 10.1016/S1001-6058(16)60699-6.

Hou, J, Liang, Q, Xia, X (2015) Robust absorbing boundary conditions for shallow water flow models, Environmental Earth Sciences, 74(11), pp.7407-7422, ISSN: 1866-6280. DOI: 10.1007/s12665-015-4743-6.

Liang, Q, Xia, X, Hou, J (2015) Efficient urban flood simulation using a GPU-accelerated SPH model, Environmental Earth Sciences, 74(11), pp.7285-7294, ISSN: 1866-6280. DOI: 10.1007/s12665-015-4753-4.

Xia, X and Liang, Q (2015) A GPU-accelerated smoothed particle hydrodynamics (SPH) model for the shallow water equations, Environmental Modelling & Software, 75, pp.28-43, ISSN: 1364-8152. DOI: 10.1016/j.envsoft.2015.10.002.

Liang, Q, Hou, J, Xia, X (2015) Contradiction between the C-property and mass conservation in adaptive grid based shallow flow models: cause and solution, International Journal for Numerical Methods in Fluids, 78(1), pp.17-36, ISSN: 0271-2091. DOI: 10.1002/fld.4005.

Xia, X, Liang, Q, Pastor, M, Zou, W, Zhuang, Y-F (2013) Balancing the source terms in a SPH model for solving the shallow water equations, Advances in Water Resources, 59, pp.25-38, ISSN: 0309-1708. DOI: 10.1016/j.advwatres.2013.05.004.


Liang, Q, Xia, X, Hou, J (2016) Catchment-scale High-resolution Flash Flood Simulation Using the GPU-based Technology. In , Procedia Engineering, pp.975-981, DOI: 10.1016/j.proeng.2016.07.585.

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