Dr Yunqing Xuan

Associate Professor, Civil Engineering

+44 (0) 1792 606565

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Office - 113
First Floor
Energy Safety Research Institute
Bay Campus

Available For Postgraduate Supervision

Research Links

https://orcid.org/0000-0003-2736-8625

ResearchGate

About

Dr Yunqing Xuan, FRMetS, FIMA, FIHE is a civil engineer by training but at the same time a hydro-meteorologist with a range of interdisciplinary research interests in modelling hydrological processes interfacing with atmosphere and societies. In practical words, he has been working as both a practitioner and a researcher in several fields: hydrology and hydrometeorology using advanced computer modelling studying extreme events; weather radars and rainfall nowcasting; flood risk management and climate change impact/adaption in water sector.

Dr Xuan strives to contribute to the learner and professional communities. This includes his other undertakings as the Vice Chair of the Welsh Local Centre of the Royal Meteorological Society, Review Editor of the Weather journal and Board Member of the Conference Committee of the Institute of Mathematics and Its Applications.

Dr Xuan welcomes prospective PhD students in the following areas or closely related. Please get in touch use the contact info on this page:

Climate change impact on extreme hydrological events and adaptation
GIS/Remote sensing applications in Hydrological modelling and flood risk management
Weather Radar, NWP and their applications in Hydrological modelling and flood risk management.

For Chinese PhD applicant, please consider applying the CSC scholarship to fund your study.

Areas Of Expertise

Hydrology and Hydrological Modelling
Hydrometeorological Modelling
Flood Risk Management and Flood Modelling
Weather Radar and Rainfall Nowcasting
Climate Change Impact on Water Resources and Extremes
GIS, Statistical and AI Modelling of Hydrometeorologica

Publications

Research Highlights

Zhao, H., Li, H., Xuan, Y., Bao, S., Cidan, Y., Liu, Y., Li, C., & Yao, M. (2023). Investigating the critical influencing factors of snowmelt runoff and development of a mid-long term snowmelt runoff forecasting. Journal of Geographical Sciences, 33(6), 1313-1333.
https://doi.org/10.1007/s11442-023-2131-9, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63775
http://dx.doi.org/10.1007/s11442-023-2131-9
Abbas, S., Xuan, Y., Al-Rammahi, A., & Addab, H. (2022). A Comparison Study of Observed and the CMIP5 Modelled Precipitation over Iraq 1941–2005. Atmosphere, 13(11), 1869
https://doi.org/10.3390/atmos13111869, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61872
Zhao, H., Li, H., Xuan, Y., Li, C., & Ni, H. (2022). Improvement of the SWAT Model for Snowmelt Runoff Simulation in Seasonal Snowmelt Area Using Remote Sensing Data. Remote Sensing, 14(22), 5823
https://doi.org/10.3390/rs14225823, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61952
Wang, H. & Xuan, Y. (2022). An Area-Orientated Analysis of the Temporal Variation of Extreme Daily Rainfall in Great Britain and Australia. Water, 15(1), 128
https://doi.org/10.3390/w15010128, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62230
Wang, H., Xuan, Y., Tran, T., Couasnon, A., Scussolini, P., Luu, L., Nguyen, H., & Reeve, D. (2023). Changes in seasonal compound floods in Vietnam revealed by a time-varying dependence structure of extreme rainfall and high surge. Coastal Engineering, 183, 104330
https://doi.org/10.1016/j.coastaleng.2023.104330, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63367
http://dx.doi.org/10.1016/j.coastaleng.2023.104330
Bennett, W., Karunarathna, H., Xuan, Y., Kusuma, M., Farid, M., Kuntoro, A., Rahayu, H., Kombaitan, B., Septiadi, D., Kesuma, T., Haigh, R., & Amaratunga, D. (2023). Modelling compound flooding: a case study from Jakarta, Indonesia. Natural Hazards, 118
https://doi.org/10.1007/s11069-023-06001-1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63374
Xuan, Y., Cluckie, I., Wang, Y., Cluckie, I., & Xuan, Y. (2009). Uncertainty analysis of hydrological ensemble forecasts in a distributed model utilising short-range rainfall prediction. Hydrology and Earth System Sciences, 13(3), 293-303.
https://doi.org/10.5194/hess-13-293-2009, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10540
Zhu, D., Echendu, S., Xuan, Y., Webster, M., & Cluckie, I. (2016). Coupled hydro-meteorological modelling on a HPC platform for high-resolution extreme weather impact study. Hydrology and Earth System Sciences, 20(12), 4707-4715.
https://doi.org/10.5194/hess-20-4707-2016, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31336
Zhu, D., Xuan, Y., Cluckie, I., Cluckie, I., & Xuan, Y. (2014). Hydrological appraisal of operational weather radar rainfall estimates in the context of different modelling structures. Hydrology and Earth System Sciences, 18(1), 257-272.
https://doi.org/10.5194/hess-18-257-2014, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa21110
Song, X., Zhang, J., Zhan, C., Xuan, Y., Ye, M., & Xu, C. (2015). Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications. Journal of Hydrology, 523, 739-757.
https://doi.org/10.1016/j.jhydrol.2015.02.013, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa21107
Wang, H. & Xuan, Y. (2021). Spatial Variation of Extreme Rainfall Observed From Two Century‐Long Datasets. Geophysical Research Letters, 48(8)
https://doi.org/10.1029/2020gl091933, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55563
Baldassarre, G., Elshamy, M., Griensven, A., Soliman, E., Kigobe, M., Ndomba, P., Mutemi, J., Mutua, F., Moges, S., Xuan, Y., Solomatine, D., & Uhlenbrook, S. (2011). Future hydrology and climate in the River Nile basin: a review. Hydrological Sciences Journal, 56(2), 199-211.
https://doi.org/10.1080/02626667.2011.557378, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10414
Song, X., Zhang, J., AghaKouchak, A., Roy, S., Xuan, Y., Wang, G., He, R., Wang, X., & Liu, C. (2014). Rapid urbanization and changes in spatiotemporal characteristics of precipitation in Beijing metropolitan area. Journal of Geophysical Research: Atmospheres, 119(19), 11250-11271.
https://doi.org/10.1002/2014JD022084, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa21109
Wang, H. & Xuan, Y. (2020). SRS-GDA: A spatial random sampling toolbox for grid-based hydro-climatic data analysis in environmental change studies. Environmental Modelling & Software, 124, 104598
https://doi.org/10.1016/j.envsoft.2019.104598, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52972
Song, X., Mo, Y., Xuan, Y., Wang, Q., Wu, W., Zhang, J., & Zou, X. (2021). Impacts of urbanization on precipitation patterns in the greater Beijing–Tianjin–Hebei metropolitan region in northern China. Environmental Research Letters, 16(1), 014042
https://doi.org/10.1088/1748-9326/abd212, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55902
Abbas, S., Xuan, Y., & Song, X. (2019). Quantile Regression Based Methods for Investigating Rainfall Trends Associated with Flooding and Drought Conditions. Water Resources Management, 33(12), 4249-4264.
https://doi.org/10.1007/s11269-019-02362-0, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa38948
http://dx.doi.org/10.1007/s11269-019-02362-0
Abbas, S. & Xuan, Y. (2019). Development of a New Quantile-Based Method for the Assessment of Regional Water Resources in a Highly-Regulated River Basin. Water Resources Management, 33(9), 3187-3210.
https://doi.org/10.1007/s11269-019-02290-z, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50789
https://rdcu.be/bGlJR
Filho, G., Coelho, V., Freitas, E., Xuan, Y., & Almeida, C. (2021). An improved rainfall-threshold approach for robust prediction and warning of flood and flash flood hazards. Natural Hazards, 105(3), 2409-2429.
https://doi.org/10.1007/s11069-020-04405-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55586
Zhu, D., Ren, Q., Xuan, Y., Chen, Y., Cluckie, I., Cluckie, I., & Xuan, Y. (2013). An effective depression filling algorithm for DEM-based 2-D surface flow modelling. Hydrology and Earth System Sciences, 17(2)-505.
https://doi.org/10.5194/hess-17-495-2013, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15571
Probert, J., Koenig-Lewis, N., Stacey, K., Zhao, A., Xuan, Y., & Organ, K. (2014). Sustainable water consumption: the role of consumer behaviour in (re)shaping water utility industry business models. In Corporate Responsibility Research ConferenceISIS.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa19211
http://static.uni-graz.at/fileadmin/urbi-institute/Systemwissenschaften/ISIS_Reports/ISIS_reports_6_CRRC.pdf
Abbas, S., Xuan, Y., & Song, X. (2019). Quantile Regression Based Methods for Investigating Rainfall Trends Associated with Flooding and Drought Conditions. Water Resources Management, 33(12), 4249-4264.
https://doi.org/10.1007/s11269-019-02362-0, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52599
Bray, M., Han, D., Xuan, Y., Bates, P., & Williams, M. (2011). Rainfall uncertainty for extreme events in NWP downscaling model. Hydrological Processes, 25(9), 1397-1406.
https://doi.org/10.1002/hyp.7905, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10413
Abbas, S. & Xuan, Y. (2020). Impact of Precipitation Pre-Processing Methods on Hydrological Model Performance using High-Resolution Gridded Dataset. Water, 12(3), 840
https://doi.org/10.3390/w12030840, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53902
Freitas, E., Coelho, V., Xuan, Y., Melo, D., Gadelha, A., Santos, E., Galvão, C., Filho, G., Barbosa, L., Huffman, G., Petersen, W., & Almeida, C. (2020). The performance of the IMERG satellite-based product in identifying sub-daily rainfall events and their properties. Journal of Hydrology, 589, 125128
https://doi.org/10.1016/j.jhydrol.2020.125128, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54423
http://dx.doi.org/10.1016/j.jhydrol.2020.125128
Freitas, E., Coelho, V., Xuan, Y., Melo, D., Gadelha, A., Santos, E., Galvão, C., Filho, G., Barbosa, L., Huffman, G., Petersen, W., & Almeida, C. (2020). The performance of the IMERG satellite-based product in identifying sub-daily rainfall events and their properties. Journal of Hydrology, 589
https://doi.org/10.1016/j.jhydrol.2020.125128, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54424
http://dx.doi.org/10.1016/j.jhydrol.2020.125128
Wang, H. & Xuan, Y. (2020). Spatial Dependency in Nonstationary GEV Modelling of Extreme Precipitation over Great Britain
https://doi.org/10.5194/hess-2020-44, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55567
Gadelha, A., Coelho, V., Xavier, A., Barbosa, L., Melo, D., Xuan, Y., Huffman, G., Petersen, W., & Almeida, C. (2019). Grid box-level evaluation of IMERG over Brazil at various space and time scales. Atmospheric Research, 218, 231-244.
https://doi.org/10.1016/j.atmosres.2018.12.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa47941
Ma, L., Ni, J., Fleskens, L., Wang, H., & Xuan, Y. (2021). Modelling Fertilizer Use in Relation to Farmers’ Household Characteristics in Three Gorges Reservoir Area, China. Agriculture, 11(6), 472
https://doi.org/10.3390/agriculture11060472, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56952
Li, H., Sun, J., Zhang, H., Zhang, J., Jung, K., Kim, J., Xuan, Y., Wang, X., & Li, F. (2018). What Large Sample Size Is Sufficient for Hydrologic Frequency Analysis?—A Rational Argument for a 30-Year Hydrologic Sample Size in Water Resources Management. Water, 10(4), 430
https://doi.org/10.3390/w10040430, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39313
http://www.mdpi.com/2073-4441/10/4/430/htm
Bayissa, Y., Moges, S., Xuan, Y., Van Andel, S., Maskey, S., Solomatine, D., Griensven, A., & Tadesse, T. (2015). Spatio-temporal assessment of meteorological drought under the influence of varying record length: the case of Upper Blue Nile Basin, Ethiopia. Hydrological Sciences Journal, 1-16.
https://doi.org/10.1080/02626667.2015.1032291, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa21108
Seyoum, M., Andel, S., Xuan, Y., & Amare, K. (2013). Precipitation forecasts for rainfall runoff predictions. A case study in poorly gauged Ribb and Gumara catchments, upper Blue Nile, Ethiopia. Physics and Chemistry of the Earth, Parts A/B/C, 61-62, 43-51.
https://doi.org/10.1016/j.pce.2013.05.005, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15127
Wang, G., Zhang, J., Xuan, Y., Jin, J., Bao, Z., R. M, H., Liu, C., Liu, Y., Yan, X., & Xuan, Y. (2013). Simulating the Impact of Climate Change on Runoff in a Typical River Catchment of the Loess Plateau, China. Journal of Hydrometeorology, e-View, 130528133534008
https://doi.org/10.1175/JHM-D-12-081.1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14967
Xuan, Y. (2014). High performance computing (HPC) based hydrological modelling framework to support complex model-coupling and uncertainty studies. In EGU General Assembly 2014
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa19215
Xuan, Y., Zhu, D., Triballi, P., & Cluckie, I. (2014). Forecast uncertainty of a lumped hydrological model coupled with the STEPS radar rainfall nowcasts. In Internationall Symposium Weather Radar and Hydrology
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa19214
Xuan, Y., Zhu, D., & Cluckie, I. (2014). Developing A High Performance Computing (Hpc) Based Hydrological Modelling Framework To Support Extreme Weather Impact Studies. In 11th International Conference on Hydroinformatics
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa19213
Song, X., Zhang, J., Wang, G., & Xuan, Y. (2014). Impact Of Urbanization On Spatial And Temporal Variation Of Rainfall In Beijing Over The Last 50 Years. In 11th International Conference on Hydroinfomatics
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa19212
Zhu, D., Xuan, Y., Cluckie, I., & Xuan, Y. (2014). Hydrological appraisal of operational weather radar rainfall estimates in the context of different modelling structures. Hydrology and Earth System Sciences Discussions, 18, 257-272.
https://doi.org/10.5194/hess-18-257-2014, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15566
Lihua, M., Kang, S., Xuan, Y., Xiaoling, S., & Solomatine, D. (2012). Analysis and simulation of the influencing factors on regional water use based on information entropy. Water Policy, 14(6), 1033
https://doi.org/10.2166/wp.2012.066, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa13906
Baldassarre, G., Elshamy, M., Griensven, A., Soliman, E., Kigobe, M., Ndomba, P., Mutemi, J., Mutua, F., Xuan, Y., & Xuan, Y. (2011). A Critical Discussion of Recent Studies Evaluating the Impacts of Climate Change on Water Resources in the Nile basin. Nile Basin Water Science & Engineering Journal, 4(2), 94-100.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12769
http://www.nilebasin-journal.com/Volumes/Volume4/issue11/9-ACCION-Discussion-NBCBN-Formatted.pdf
L, M. & Xuan, Y. (2010). Analysis of Multiple Impacts of Global Change on Water Utilization Using ANN Model - A case study in North-West China. In Geophysical Research Abstracts
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12777
Corzo, G., Jonoski, A., Yimer, G., Xuan, Y., & Xuan, Y. (2009). Downscaling global climate models using modular models and fuzzy committees. In The 8the International Conference on Hydroinformatics
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12781
Tang, Y., Shangyang, L., & Xuan, Y. (2009). Integrated Modeling of Flood Forecasting and Multi-reservoir-based Operation in Yellow River Basin. In Proc. of 4th International Yellow River Forum
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12778
Corzo, G., Xuan, Y., Martinez, C., Solomatine, D., & Xuan, Y. (2009). Ensemble of radar and MM5 precipitation forecast models with Data Driven Modelling Techniques. Redbook Hydroinformatics in Hydrology, Hydrogeology and Water Resources IAHS
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10425
van Griensven, A., Xuan, Y., Haguma, D., Niyonzima, W., & Xuan, Y. (2008). Understanding riverine wetland-catchment processes using remote sensing data and modelling. In Proceedings of the iEMSs Fourth Biennial Meeting: International Congress on Environmental Modelling and Software
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12780
Niyonzima, W., van Griensven, A., Xuan, Y., & Xuan, Y. (2008). Hydrological Modelling of Wetlands in the Kagera basin using SWAT. In SWAT International Conference
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12779
Xuan, Y., Cluckie, I., & Xuan, Y. (2008). Uncertainty Propagation in Ensemble Rainfall Prediction Systems used for Operational Real-time Flood Forecasting. Hydroinformatics in Practice: Computational Intelligence and Technological Developments in Water Applications Springer-Verlag
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10426
Butts, M., Falk, A. K, V., Xuan, Y., Cluckie, I, D., & Xuan, Y. (2007). Integrating meteorological and uncertainty information in flood forecasting: the FLOODRELIEF project. Quantification and Reduction of Predictive Uncertainty for Sustainable Water Resources Management IAHS
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10427
Ju, X., Xuan, Y., & Zou, X. (2000). Analyses on the Severe Flooding of Yangtze River Catchment of 1998. Journal of Natural Disaster, 9(2)
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10422
Zhang, J., Xuan, Y., Li, J., & Xuan, Y. (2000). Developing Real-time Flood Systems – Issues and Solutions. Journal of Hohai University, 28(1)
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10423
Zhang, J., Xuan, Y., Li, J., & Xuan, Y. (1999). Parameter Optimisation of Hydrological Models and Its Application. Hydrology (in Chinese), 19
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10424
Filho, G., Coelho, V., Freitas, E., Xuan, Y., Brocca, L., & Almeida, C. (2022). Regional-scale evaluation of 14 satellite-based precipitation products in characterising extreme events and delineating rainfall thresholds for flood hazards. Atmospheric Research, 276, 106259
https://doi.org/10.1016/j.atmosres.2022.106259, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60091
Cidan, Y., Li, H., Xuan, Y., Sun, H., & You, F. (2022). Runoff Forecast for the Flood Season Based on Physical Factors and Their Effect Process and Its Application in the Second Songhua River Basin, China. Sustainability, 14(17), 10627
https://doi.org/10.3390/su141710627, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60997
Wang, H. & Xuan, Y. (2022). A Spatial Pattern Extraction and Recognition Toolbox Supporting Machine Learning Applications on Large Hydroclimatic Datasets. Remote Sensing, 14(15), 3823
https://doi.org/10.3390/rs14153823, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60784
Barbosa, L., Coelho, V., Gusmão, A., Fernandes, L., Silva, B., Galvão, C., Caicedo, N., Paz, A., Xuan, Y., Bertrand, G., Melo, D., Montenegro, S., Oswald, S., & Almeida, C. (2022). A satellite-based approach to estimating spatially distributed groundwater recharge rates in a tropical wet sedimentary region despite cloudy conditions. Journal of Hydrology, 607, 127503
https://doi.org/10.1016/j.jhydrol.2022.127503, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59247
Wang, H. & Xuan, Y. (2022). Spatial variation of catchment-oriented extreme rainfall in England and Wales. Atmospheric Research, 266, 105968
https://doi.org/10.1016/j.atmosres.2021.105968, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59013
Couasnon, A., Scussolini, P., Tran, T., Eilander, D., Muis, S., Wang, H., Keesom, J., Dullaart, J., Xuan, Y., Nguyen, H., Winsemius, H., & Ward, P. (2022). A Flood Risk Framework Capturing the Seasonality of and Dependence Between Rainfall and Sea Levels—An Application to Ho Chi Minh City, Vietnam. Water Resources Research, 58(2)
https://doi.org/10.1029/2021wr030002, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59167
Abbas, S., Xuan, Y., & Song, X. (2019). Quantile Regression Based Methods for Investigating Rainfall Trends Associated with Flooding and Drought Conditions. Water Resources Management, 33(12), 4249-4264.
https://doi.org/10.1007/s11269-019-02362-0, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60092
Abbas, S., Xuan, Y., & Bailey, R. (2022). Assessing Climate Change Impact on Water Resources in Water Demand Scenarios Using SWAT-MODFLOW-WEAP. Hydrology, 9(10), 164
https://doi.org/10.3390/hydrology9100164, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60998

All Research

Journal Articles

Zhao, H., Li, H., Xuan, Y., Bao, S., Cidan, Y., Liu, Y., Li, C., & Yao, M. (2023). Investigating the critical influencing factors of snowmelt runoff and development of a mid-long term snowmelt runoff forecasting. Journal of Geographical Sciences, 33(6), 1313-1333.
https://doi.org/10.1007/s11442-023-2131-9, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63775
http://dx.doi.org/10.1007/s11442-023-2131-9
Bennett, W., Karunarathna, H., Xuan, Y., Kusuma, M., Farid, M., Kuntoro, A., Rahayu, H., Kombaitan, B., Septiadi, D., Kesuma, T., Haigh, R., & Amaratunga, D. (2023). Modelling compound flooding: a case study from Jakarta, Indonesia. Natural Hazards, 118
https://doi.org/10.1007/s11069-023-06001-1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63374
Wang, H., Xuan, Y., Tran, T., Couasnon, A., Scussolini, P., Luu, L., Nguyen, H., & Reeve, D. (2023). Changes in seasonal compound floods in Vietnam revealed by a time-varying dependence structure of extreme rainfall and high surge. Coastal Engineering, 183, 104330
https://doi.org/10.1016/j.coastaleng.2023.104330, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63367
http://dx.doi.org/10.1016/j.coastaleng.2023.104330
Wang, H. & Xuan, Y. (2022). An Area-Orientated Analysis of the Temporal Variation of Extreme Daily Rainfall in Great Britain and Australia. Water, 15(1), 128
https://doi.org/10.3390/w15010128, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62230
Zhao, H., Li, H., Xuan, Y., Li, C., & Ni, H. (2022). Improvement of the SWAT Model for Snowmelt Runoff Simulation in Seasonal Snowmelt Area Using Remote Sensing Data. Remote Sensing, 14(22), 5823
https://doi.org/10.3390/rs14225823, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61952
Abbas, S., Xuan, Y., Al-Rammahi, A., & Addab, H. (2022). A Comparison Study of Observed and the CMIP5 Modelled Precipitation over Iraq 1941–2005. Atmosphere, 13(11), 1869
https://doi.org/10.3390/atmos13111869, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61872
Filho, G., Coelho, V., Freitas, E., Xuan, Y., Brocca, L., & Almeida, C. (2022). Regional-scale evaluation of 14 satellite-based precipitation products in characterising extreme events and delineating rainfall thresholds for flood hazards. Atmospheric Research, 276, 106259
https://doi.org/10.1016/j.atmosres.2022.106259, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60091
Abbas, S., Xuan, Y., & Bailey, R. (2022). Assessing Climate Change Impact on Water Resources in Water Demand Scenarios Using SWAT-MODFLOW-WEAP. Hydrology, 9(10), 164
https://doi.org/10.3390/hydrology9100164, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60998
Cidan, Y., Li, H., Xuan, Y., Sun, H., & You, F. (2022). Runoff Forecast for the Flood Season Based on Physical Factors and Their Effect Process and Its Application in the Second Songhua River Basin, China. Sustainability, 14(17), 10627
https://doi.org/10.3390/su141710627, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60997
Wang, H. & Xuan, Y. (2022). A Spatial Pattern Extraction and Recognition Toolbox Supporting Machine Learning Applications on Large Hydroclimatic Datasets. Remote Sensing, 14(15), 3823
https://doi.org/10.3390/rs14153823, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60784
Barbosa, L., Coelho, V., Gusmão, A., Fernandes, L., Silva, B., Galvão, C., Caicedo, N., Paz, A., Xuan, Y., Bertrand, G., Melo, D., Montenegro, S., Oswald, S., & Almeida, C. (2022). A satellite-based approach to estimating spatially distributed groundwater recharge rates in a tropical wet sedimentary region despite cloudy conditions. Journal of Hydrology, 607, 127503
https://doi.org/10.1016/j.jhydrol.2022.127503, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59247
Wang, H. & Xuan, Y. (2022). Spatial variation of catchment-oriented extreme rainfall in England and Wales. Atmospheric Research, 266, 105968
https://doi.org/10.1016/j.atmosres.2021.105968, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59013
Couasnon, A., Scussolini, P., Tran, T., Eilander, D., Muis, S., Wang, H., Keesom, J., Dullaart, J., Xuan, Y., Nguyen, H., Winsemius, H., & Ward, P. (2022). A Flood Risk Framework Capturing the Seasonality of and Dependence Between Rainfall and Sea Levels—An Application to Ho Chi Minh City, Vietnam. Water Resources Research, 58(2)
https://doi.org/10.1029/2021wr030002, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59167
Ma, L., Ni, J., Fleskens, L., Wang, H., & Xuan, Y. (2021). Modelling Fertilizer Use in Relation to Farmers’ Household Characteristics in Three Gorges Reservoir Area, China. Agriculture, 11(6), 472
https://doi.org/10.3390/agriculture11060472, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56952
Wang, H. & Xuan, Y. (2021). Spatial Variation of Extreme Rainfall Observed From Two Century‐Long Datasets. Geophysical Research Letters, 48(8)
https://doi.org/10.1029/2020gl091933, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55563
Filho, G., Coelho, V., Freitas, E., Xuan, Y., & Almeida, C. (2021). An improved rainfall-threshold approach for robust prediction and warning of flood and flash flood hazards. Natural Hazards, 105(3), 2409-2429.
https://doi.org/10.1007/s11069-020-04405-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55586
Song, X., Mo, Y., Xuan, Y., Wang, Q., Wu, W., Zhang, J., & Zou, X. (2021). Impacts of urbanization on precipitation patterns in the greater Beijing–Tianjin–Hebei metropolitan region in northern China. Environmental Research Letters, 16(1), 014042
https://doi.org/10.1088/1748-9326/abd212, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55902
Freitas, E., Coelho, V., Xuan, Y., Melo, D., Gadelha, A., Santos, E., Galvão, C., Filho, G., Barbosa, L., Huffman, G., Petersen, W., & Almeida, C. (2020). The performance of the IMERG satellite-based product in identifying sub-daily rainfall events and their properties. Journal of Hydrology, 589
https://doi.org/10.1016/j.jhydrol.2020.125128, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54424
http://dx.doi.org/10.1016/j.jhydrol.2020.125128
Freitas, E., Coelho, V., Xuan, Y., Melo, D., Gadelha, A., Santos, E., Galvão, C., Filho, G., Barbosa, L., Huffman, G., Petersen, W., & Almeida, C. (2020). The performance of the IMERG satellite-based product in identifying sub-daily rainfall events and their properties. Journal of Hydrology, 589, 125128
https://doi.org/10.1016/j.jhydrol.2020.125128, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54423
http://dx.doi.org/10.1016/j.jhydrol.2020.125128
Abbas, S. & Xuan, Y. (2020). Impact of Precipitation Pre-Processing Methods on Hydrological Model Performance using High-Resolution Gridded Dataset. Water, 12(3), 840
https://doi.org/10.3390/w12030840, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53902
Wang, H. & Xuan, Y. (2020). SRS-GDA: A spatial random sampling toolbox for grid-based hydro-climatic data analysis in environmental change studies. Environmental Modelling & Software, 124, 104598
https://doi.org/10.1016/j.envsoft.2019.104598, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52972
Abbas, S., Xuan, Y., & Song, X. (2019). Quantile Regression Based Methods for Investigating Rainfall Trends Associated with Flooding and Drought Conditions. Water Resources Management, 33(12), 4249-4264.
https://doi.org/10.1007/s11269-019-02362-0, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa38948
http://dx.doi.org/10.1007/s11269-019-02362-0
Abbas, S., Xuan, Y., & Song, X. (2019). Quantile Regression Based Methods for Investigating Rainfall Trends Associated with Flooding and Drought Conditions. Water Resources Management, 33(12), 4249-4264.
https://doi.org/10.1007/s11269-019-02362-0, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52599
Abbas, S., Xuan, Y., & Song, X. (2019). Quantile Regression Based Methods for Investigating Rainfall Trends Associated with Flooding and Drought Conditions. Water Resources Management, 33(12), 4249-4264.
https://doi.org/10.1007/s11269-019-02362-0, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60092
Abbas, S. & Xuan, Y. (2019). Development of a New Quantile-Based Method for the Assessment of Regional Water Resources in a Highly-Regulated River Basin. Water Resources Management, 33(9), 3187-3210.
https://doi.org/10.1007/s11269-019-02290-z, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50789
https://rdcu.be/bGlJR
Gadelha, A., Coelho, V., Xavier, A., Barbosa, L., Melo, D., Xuan, Y., Huffman, G., Petersen, W., & Almeida, C. (2019). Grid box-level evaluation of IMERG over Brazil at various space and time scales. Atmospheric Research, 218, 231-244.
https://doi.org/10.1016/j.atmosres.2018.12.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa47941
Li, H., Sun, J., Zhang, H., Zhang, J., Jung, K., Kim, J., Xuan, Y., Wang, X., & Li, F. (2018). What Large Sample Size Is Sufficient for Hydrologic Frequency Analysis?—A Rational Argument for a 30-Year Hydrologic Sample Size in Water Resources Management. Water, 10(4), 430
https://doi.org/10.3390/w10040430, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39313
http://www.mdpi.com/2073-4441/10/4/430/htm
Zhu, D., Echendu, S., Xuan, Y., Webster, M., & Cluckie, I. (2016). Coupled hydro-meteorological modelling on a HPC platform for high-resolution extreme weather impact study. Hydrology and Earth System Sciences, 20(12), 4707-4715.
https://doi.org/10.5194/hess-20-4707-2016, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31336
Bayissa, Y., Moges, S., Xuan, Y., Van Andel, S., Maskey, S., Solomatine, D., Griensven, A., & Tadesse, T. (2015). Spatio-temporal assessment of meteorological drought under the influence of varying record length: the case of Upper Blue Nile Basin, Ethiopia. Hydrological Sciences Journal, 1-16.
https://doi.org/10.1080/02626667.2015.1032291, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa21108
Song, X., Zhang, J., Zhan, C., Xuan, Y., Ye, M., & Xu, C. (2015). Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications. Journal of Hydrology, 523, 739-757.
https://doi.org/10.1016/j.jhydrol.2015.02.013, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa21107
Song, X., Zhang, J., AghaKouchak, A., Roy, S., Xuan, Y., Wang, G., He, R., Wang, X., & Liu, C. (2014). Rapid urbanization and changes in spatiotemporal characteristics of precipitation in Beijing metropolitan area. Journal of Geophysical Research: Atmospheres, 119(19), 11250-11271.
https://doi.org/10.1002/2014JD022084, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa21109
Zhu, D., Xuan, Y., Cluckie, I., Cluckie, I., & Xuan, Y. (2014). Hydrological appraisal of operational weather radar rainfall estimates in the context of different modelling structures. Hydrology and Earth System Sciences, 18(1), 257-272.
https://doi.org/10.5194/hess-18-257-2014, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa21110
Zhu, D., Xuan, Y., Cluckie, I., & Xuan, Y. (2014). Hydrological appraisal of operational weather radar rainfall estimates in the context of different modelling structures. Hydrology and Earth System Sciences Discussions, 18, 257-272.
https://doi.org/10.5194/hess-18-257-2014, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15566
Zhu, D., Ren, Q., Xuan, Y., Chen, Y., Cluckie, I., Cluckie, I., & Xuan, Y. (2013). An effective depression filling algorithm for DEM-based 2-D surface flow modelling. Hydrology and Earth System Sciences, 17(2)-505.
https://doi.org/10.5194/hess-17-495-2013, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15571
Seyoum, M., Andel, S., Xuan, Y., & Amare, K. (2013). Precipitation forecasts for rainfall runoff predictions. A case study in poorly gauged Ribb and Gumara catchments, upper Blue Nile, Ethiopia. Physics and Chemistry of the Earth, Parts A/B/C, 61-62, 43-51.
https://doi.org/10.1016/j.pce.2013.05.005, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15127
Wang, G., Zhang, J., Xuan, Y., Jin, J., Bao, Z., R. M, H., Liu, C., Liu, Y., Yan, X., & Xuan, Y. (2013). Simulating the Impact of Climate Change on Runoff in a Typical River Catchment of the Loess Plateau, China. Journal of Hydrometeorology, e-View, 130528133534008
https://doi.org/10.1175/JHM-D-12-081.1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14967
Lihua, M., Kang, S., Xuan, Y., Xiaoling, S., & Solomatine, D. (2012). Analysis and simulation of the influencing factors on regional water use based on information entropy. Water Policy, 14(6), 1033
https://doi.org/10.2166/wp.2012.066, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa13906
Baldassarre, G., Elshamy, M., Griensven, A., Soliman, E., Kigobe, M., Ndomba, P., Mutemi, J., Mutua, F., Moges, S., Xuan, Y., Solomatine, D., & Uhlenbrook, S. (2011). Future hydrology and climate in the River Nile basin: a review. Hydrological Sciences Journal, 56(2), 199-211.
https://doi.org/10.1080/02626667.2011.557378, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10414
Bray, M., Han, D., Xuan, Y., Bates, P., & Williams, M. (2011). Rainfall uncertainty for extreme events in NWP downscaling model. Hydrological Processes, 25(9), 1397-1406.
https://doi.org/10.1002/hyp.7905, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10413
Baldassarre, G., Elshamy, M., Griensven, A., Soliman, E., Kigobe, M., Ndomba, P., Mutemi, J., Mutua, F., Xuan, Y., & Xuan, Y. (2011). A Critical Discussion of Recent Studies Evaluating the Impacts of Climate Change on Water Resources in the Nile basin. Nile Basin Water Science & Engineering Journal, 4(2), 94-100.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12769
http://www.nilebasin-journal.com/Volumes/Volume4/issue11/9-ACCION-Discussion-NBCBN-Formatted.pdf
Xuan, Y., Cluckie, I., Wang, Y., Cluckie, I., & Xuan, Y. (2009). Uncertainty analysis of hydrological ensemble forecasts in a distributed model utilising short-range rainfall prediction. Hydrology and Earth System Sciences, 13(3), 293-303.
https://doi.org/10.5194/hess-13-293-2009, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10540
Ju, X., Xuan, Y., & Zou, X. (2000). Analyses on the Severe Flooding of Yangtze River Catchment of 1998. Journal of Natural Disaster, 9(2)
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10422
Zhang, J., Xuan, Y., Li, J., & Xuan, Y. (2000). Developing Real-time Flood Systems – Issues and Solutions. Journal of Hohai University, 28(1)
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10423
Zhang, J., Xuan, Y., Li, J., & Xuan, Y. (1999). Parameter Optimisation of Hydrological Models and Its Application. Hydrology (in Chinese), 19
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10424

Book Chapters

Corzo, G., Xuan, Y., Martinez, C., Solomatine, D., & Xuan, Y. (2009). Ensemble of radar and MM5 precipitation forecast models with Data Driven Modelling Techniques. Redbook Hydroinformatics in Hydrology, Hydrogeology and Water Resources IAHS
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10425
Xuan, Y., Cluckie, I., & Xuan, Y. (2008). Uncertainty Propagation in Ensemble Rainfall Prediction Systems used for Operational Real-time Flood Forecasting. Hydroinformatics in Practice: Computational Intelligence and Technological Developments in Water Applications Springer-Verlag
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10426
Butts, M., Falk, A. K, V., Xuan, Y., Cluckie, I, D., & Xuan, Y. (2007). Integrating meteorological and uncertainty information in flood forecasting: the FLOODRELIEF project. Quantification and Reduction of Predictive Uncertainty for Sustainable Water Resources Management IAHS
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10427

Conference Contributions

Xuan, Y., Zhu, D., & Cluckie, I. (2014). Developing A High Performance Computing (Hpc) Based Hydrological Modelling Framework To Support Extreme Weather Impact Studies. In 11th International Conference on Hydroinformatics
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa19213
Song, X., Zhang, J., Wang, G., & Xuan, Y. (2014). Impact Of Urbanization On Spatial And Temporal Variation Of Rainfall In Beijing Over The Last 50 Years. In 11th International Conference on Hydroinfomatics
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa19212
Xuan, Y. (2014). High performance computing (HPC) based hydrological modelling framework to support complex model-coupling and uncertainty studies. In EGU General Assembly 2014
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa19215
Xuan, Y., Zhu, D., Triballi, P., & Cluckie, I. (2014). Forecast uncertainty of a lumped hydrological model coupled with the STEPS radar rainfall nowcasts. In Internationall Symposium Weather Radar and Hydrology
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa19214
Probert, J., Koenig-Lewis, N., Stacey, K., Zhao, A., Xuan, Y., & Organ, K. (2014). Sustainable water consumption: the role of consumer behaviour in (re)shaping water utility industry business models. In Corporate Responsibility Research ConferenceISIS.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa19211
http://static.uni-graz.at/fileadmin/urbi-institute/Systemwissenschaften/ISIS_Reports/ISIS_reports_6_CRRC.pdf
L, M. & Xuan, Y. (2010). Analysis of Multiple Impacts of Global Change on Water Utilization Using ANN Model - A case study in North-West China. In Geophysical Research Abstracts
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12777
Corzo, G., Jonoski, A., Yimer, G., Xuan, Y., & Xuan, Y. (2009). Downscaling global climate models using modular models and fuzzy committees. In The 8the International Conference on Hydroinformatics
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12781
Tang, Y., Shangyang, L., & Xuan, Y. (2009). Integrated Modeling of Flood Forecasting and Multi-reservoir-based Operation in Yellow River Basin. In Proc. of 4th International Yellow River Forum
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12778
van Griensven, A., Xuan, Y., Haguma, D., Niyonzima, W., & Xuan, Y. (2008). Understanding riverine wetland-catchment processes using remote sensing data and modelling. In Proceedings of the iEMSs Fourth Biennial Meeting: International Congress on Environmental Modelling and Software
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12780
Niyonzima, W., van Griensven, A., Xuan, Y., & Xuan, Y. (2008). Hydrological Modelling of Wetlands in the Kagera basin using SWAT. In SWAT International Conference
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12779

Other Research Outputs

Wang, H. & Xuan, Y. (2020). Spatial Dependency in Nonstationary GEV Modelling of Extreme Precipitation over Great Britain
https://doi.org/10.5194/hess-2020-44, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55567

Supervision

Interpretable Machine Learning Modelling of Future Hydroclimatic Extremes under Climate Change (current)

PhD

Other supervisor: Dr Ji Li

Taught Modules

EG-219 Statistical Methods in Engineering

This module offers a balanced, streamlined one-semester introduction to Engineering Statistics that emphasizes the statistical tools most needed by practicing engineers. Using real engineering problems students see how statistics fits within the methods of engineering problem solving and learn how to apply statistical methodologies to their field of study. The module teaches students how to think like an engineer when analysing real data. Mini projects, tailored to each engineering discipline, are intended to simulate problems that students will encounter professionally during their future careers. Emphasis is placed on the use of statistical software for tackling engineering problems that require the use of statistics.
EG-329 Hydrology and Unsteady Flow

This module comprises two components: Hydrology (80%) and Water Engineering Design (20%) Hydrology: 1. Introduction of important concepts in hydrology, such as hydrological cycle, rainfall runoff process, hydrological design; 2. Ensuring students to be able to solve common hydrological problems following the general practice guideline in engineering hydrology; 3. Encouraging critical thinking on issues related to development issues, with special emphasis on water supply problems under the climate change impacts. Water Engineering Design:Storm water design calculations. Design of paved and roof drainage systems. Application of rational method hydrology open channel flow in urban drainage. Preliminary design calculations. British and Eurocode applications. Case studies and design of SuDs components
EG-M35 Flood Risk Management

Recent years have seen an increasingly volatile climate and hence severe floods across the UK and worldwide, which also accompanies with a constant demand for expertise and know-hows for flood risk management. We intend to use this module to facilitate civil and environmental engineering students with necessary engineering skills and techniques for flood risk management with special focuses on current practice and national polices related and climate change impact and sustainability issues. Any student wanting to pursue or develop in a related career, e.g., water managers, consultancy in flood risk management is encouraged to take the module.

Key Grants and Projects

PI- Knowledge Transfer Partnership: HPC & Welsh Extreme Weather Initiative 2013 - 2015

Funded by TSB, Welsh Government , £600K
PI - Measuring and mitigating global change induced flood risks on infrastructure and agriculture in emerging economies 2017 - 2017

EPSRC GCRF for pump-priming research grant, £6K
PI - Early warning system for urban flooding in Chinese mega cities using advanced active phased array radar (APAR), Grant REF: UUFRIP\10021 2018 - 2020

Royal Academy of Engineering, Newton Fund, £69K
PI - A Knowledge Network of Modelling and ICT for Building Resilience towards flooding in mountainous areas of Vietnam, Grant REF: GCRFNGR4\1165 2013 - 2015

Academy of Medical Sciences, GCRF Networking , £24,250
PI - Supporting Sustainable and Inclusive Urban Growth in Ho Chi Minh City Vietnam With Improved Resilience to Compound River-Wave Flooding 2019 - 2020

HEFCW GCRF , £17,950

Career History

Associate Professor, Swansea University

March 2018 - Present
Senior Lecturer, Swansea University

September 2011 - March 2018
Lecturer , IHE Delft, The Netherlands

November 2007 - September 2011
Research Assistant , McGill University, Canada

September 2002 - July 2003
Flood Management Engineer, Bureau of Hydrology of the Ministry of Water Resources, China

April 1997 - August 2002

Affiliated Positions

Vice Chair, Welsh Local Centre of the Royal Meteorological Society

2017 - Present

Other Roles

Editorial Board Member, Weather Journal (Wiley)

2017 - Present

Invited Presentations, Lectures and Conferences

Keynote Speaker & Scientific Committee Member

November 2020

Oman’s International Conference on Water Engineering and Management of Water Resources (OICWE2020), Oman
Conference Co-Chair, 11th International Conference on Weather Radar and Hydrology

April 2020

Nanjing, China
Conference Chair – 4th IMA International Conference on Flood Risk

September 2019

Swansea, UK
Keynote - Quantitative Modelling of Climate Change Impact on Hydro-climatic Extremes

April 2019

First International Workshop of Water Disaster Mitigation, Sichuan University, China
Invited Presentation - Quantitative Modelling of Climate Change Impact on Flood Risks

January 2019

Flood Resilient Planning Strategies for Cultural Heritage in Southeast Asia , Bangkok, Thailand
Invited Speaker and Session Chair

October 2017

The Second International To-level Forum on Engineering Science and Technology Development Strategy, Nanjing, China
Invited Presentation - Quantitative Precipitation Forecast and Its Application in Flood Research”, University of Exeter

March 2016

University of Exeter, Exeter, UK
Invited Talk at the Regional Meeting on Water Scarcity in Israel and Palestine, funded by British Council

August 2015

University of Oxford, Oxford, UK
Keynote - Climate Data Downscaling

October 2015

Flood Defence Expo 2015, London, UK
One-day Guest Lecture – Climate Change and Data Downscaling

May 2012

UNESCO-IHE, Delft, Netherlands
Invited Presentation – Ensemble Forecast for Flood Risk Management

July 2010

National Meteorological Centre, China Meteorological Administration, Beijing, China

Dr Yunqing Xuan

Telephone number

Email address

Twitter Account

LinkedIn Account

Research Links

About

Areas Of Expertise

Research Highlights

All Research

Interpretable Machine Learning Modelling of Future Hydroclimatic Extremes under Climate Change (current)

EG-219 Statistical Methods in Engineering

EG-329 Hydrology and Unsteady Flow

EG-M35 Flood Risk Management

PI- Knowledge Transfer Partnership: HPC & Welsh Extreme Weather Initiative 2013 - 2015

PI - Measuring and mitigating global change induced flood risks on infrastructure and agriculture in emerging economies 2017 - 2017

PI - Early warning system for urban flooding in Chinese mega cities using advanced active phased array radar (APAR), Grant REF: UUFRIP\10021 2018 - 2020

PI - A Knowledge Network of Modelling and ICT for Building Resilience towards flooding in mountainous areas of Vietnam, Grant REF: GCRFNGR4\1165 2013 - 2015

PI - Supporting Sustainable and Inclusive Urban Growth in Ho Chi Minh City Vietnam With Improved Resilience to Compound River-Wave Flooding 2019 - 2020

Associate Professor, Swansea University

Senior Lecturer, Swansea University

Lecturer , IHE Delft, The Netherlands

Research Assistant , McGill University, Canada

Flood Management Engineer, Bureau of Hydrology of the Ministry of Water Resources, China

Vice Chair, Welsh Local Centre of the Royal Meteorological Society

Editorial Board Member, Weather Journal (Wiley)

Keynote Speaker & Scientific Committee Member

Conference Co-Chair, 11th International Conference on Weather Radar and Hydrology

Conference Chair – 4th IMA International Conference on Flood Risk

Keynote - Quantitative Modelling of Climate Change Impact on Hydro-climatic Extremes

Invited Presentation - Quantitative Modelling of Climate Change Impact on Flood Risks

Invited Speaker and Session Chair

Invited Presentation - Quantitative Precipitation Forecast and Its Application in Flood Research”, University of Exeter

Invited Talk at the Regional Meeting on Water Scarcity in Israel and Palestine, funded by British Council

Keynote - Climate Data Downscaling

One-day Guest Lecture – Climate Change and Data Downscaling

Invited Presentation – Ensemble Forecast for Flood Risk Management