Dr Yunqing Xuan

Athro Cyswllt

Civil Engineering

+44 (0) 1792 606565

y.xuan@abertawe.ac.uk

113
Llawr Cyntaf
Y Sefydliad Ymchwil Diogelwch Ynni
Campws y Bae

Ar gael ar gyfer Goruchwyliaeth Ôl-raddedig

Dolenni Ymchwil

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

ResearchGate

Trosolwg

Rwyf wedi hyfforddi fel peiriannydd ond rydw i hefyd yn feteorolegydd hydro sydd ag ystod o ddiddordebau ymchwil rhyngddisgyblaethol ym maes modelu prosesau hydrolegol a’i berthynas â’r atmosffer a chymdeithasau. O bersbectif ymarferol, rwyf wedi bod yn gweithio fel ymarferydd ac ymchwilydd mewn sawl maes: hydroleg a hydrometeoroleg gan ddefnyddio modelu cyfrifiadurol uwch er mwyn astudio digwyddiadau eithafol; radar tywydd a ‘nowcasting’ o ran glaw (rhagolygon tymor byr iawn); rheoli risg llifogydd ac effaith newid yn yr hinsawdd/addasu yn y sector dŵr. Fel FRMetS a FIMA, rwy'n ymdrechu i gyfrannu at gymunedau proffesiynol a rhai dysgwyr. Mae hyn yn cynnwys fy nghyfrifoldebau eraill fel Is-gadeirydd Canolfan Leol Cymru'r Gymdeithas Feteoroleg Frenhinol, aelod o fwrdd golygyddol y cyfnodolyn ‘Weather’ ac wrth helpu i gynnal cynadleddau rhyngwladol i'r Institute of Mathematics and Its Applications (IMA). Rwy'n croesawu darpar fyfyrwyr PhD yn y meysydd canlynol neu feysydd perthynol agos. Mae croeso i chi gysylltu gan ddefnyddio'r wybodaeth gyswllt ar y dudalen hon: Effaith newid yn yr hinsawdd ar ddigwyddiadau hydrolegol eithafol ac addasiadau. Y defnydd o gymhwysiadau GIS/synhwyro o bell mewn modelu hydrolegol a rheoli risg llifogydd.

Radar Tywydd, NWP a'u defnydd mewn modelu hydrolegol a rheoli risg llifogydd.

Meysydd Arbenigedd

Hydroleg a modelu hydrolegol
Modelu hydrometeorolegol
Rheoli risg llifogydd a modelu llifogydd
Radar Tywydd a ‘Nowcasting’ o ran glaw
Effaith Newid yn yr Hinsawdd ar Adnoddau Dŵr ac Eithafion
GIS, Modelu ystadegol a modelu deallusrwydd artiffisial

Cyhoeddiadau

Uchafbwyntiau Ymchwil

Wang, H. & Xuan, Y. (2023). Deep Learning of Extreme Rainfall Patterns Using Enhanced Spatial Random Sampling With Pattern Recognition. Special Publications (pp. 343-356). Wiley
https://doi.org/10.1002/9781119639268.ch12, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67552
Wang, H. & Xuan, Y. (2024). A Nonstationary Multivariate Framework for Modelling Compound Flooding. In Springer Water (pp. 407-428). Springer Nature Singapore.
https://doi.org/10.1007/978-981-97-4072-7_26, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67551
Zhang, Y., Han, Y., Xuan, Y., Zhou, H., Gao, H., & Yang, N. (2024). Quantifying the influence of atmospheric rivers on rainfall over the Jianghuai River Basin during the 2022 Mei‐yu season. Quarterly Journal of the Royal Meteorological Society, 150(762), 3182-3195.
https://doi.org/10.1002/qj.4758, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66636
Lima, D., Paz, A., Xuan, Y., & Piccilli, D. (2024). Incorporating spatial variability in surface runoff modeling with new DEM-based distributed approaches. Computational Geosciences, 0
https://doi.org/10.1007/s10596-024-10321-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67550
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
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
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
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., 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
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

Holl Ymchwil

Erthyglau Cylchgronau

Lima, D., Paz, A., Xuan, Y., & Piccilli, D. (2024). Incorporating spatial variability in surface runoff modeling with new DEM-based distributed approaches. Computational Geosciences, 0
https://doi.org/10.1007/s10596-024-10321-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67550
Zhang, Y., Han, Y., Xuan, Y., Zhou, H., Gao, H., & Yang, N. (2024). Quantifying the influence of atmospheric rivers on rainfall over the Jianghuai River Basin during the 2022 Mei‐yu season. Quarterly Journal of the Royal Meteorological Society, 150(762), 3182-3195.
https://doi.org/10.1002/qj.4758, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66636
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
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, 125128
https://doi.org/10.1016/j.jhydrol.2020.125128, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54424
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

Penodau Llyfrau

Wang, H. & Xuan, Y. (2023). Deep Learning of Extreme Rainfall Patterns Using Enhanced Spatial Random Sampling With Pattern Recognition. Special Publications (pp. 343-356). Wiley
https://doi.org/10.1002/9781119639268.ch12, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67552
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

Cyfraniadau Cynadleddau

Wang, H. & Xuan, Y. (2024). A Nonstationary Multivariate Framework for Modelling Compound Flooding. In Springer Water (pp. 407-428). Springer Nature Singapore.
https://doi.org/10.1007/978-981-97-4072-7_26, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67551
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

Cynnyrch Ymchwil Arall

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

Goruchwyliaeth

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

PhD

Goruchwyliwr arall: Dr Ji Li

Modiwlau a Addysgir

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

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.
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.

Grantiau a Phrosiectau Allweddol

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

Wedi’i ariannu gan Lywodraeth Cymru, £600,000
PI - Measuring and mitigating global change induced flood risks on infrastructure and agriculture in emerging economies 2017 - 2017

Grant Cronfa Ymchwil i Heriau Byd-eang yr EPSRC ar gyfer ysgogi ymchwil, £6000
PI - Early warning system for urban flooding in Chinese mega cities using advanced active phased array radar (APAR), Grant REF: UUFRIP\10021 2018 - 2020

Academi Frenhinol Peirianneg, Cronfa Newton, £69,000
PI - A Knowledge Network of Modelling and ICT for Building Resilience towards flooding in mountainous areas of Vietnam, Cyfeirnod y grant: GCRFNGR4\1165 2013 - 2015

Academi’r Gwyddorau Meddygol, Rhwydweithio GCRF, £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

CCAUC GCRF, £17,950

Hanes Gyrfa

Athro Cyswllt, Prifysgol Abertawe

Mawrth 2018 - Presennol
Uwch-ddarlithydd, Prifysgol Abertawe

Medi 2021 - Mawrth 2018
Darlithydd, IHE Delft, Yr Iseldiroedd

Tachwedd 2007 - Medi 2011
Cynorthwy-ydd Ymchwil, Prifysgol McGill, Canada

Medi 2002 - Gorffennaf 2003
Peirianwr Rheoli Llifogydd, Swyddfa Hydroleg y Weinyddiaeth Adnoddau Dwr, Tsieina

Ebrill 1997 - Awst 2002

Swyddi Cysylltiedig

Is-gadeirydd, Canolfan Leol Cymru'r Gymdeithas Feteorolegol Frenhinol

2017 - Presennol

Rolau Eraill

Aelod y Bwrdd Golygyddol, Weather Journal (Wiley)

2017 - Presennol

Cyflwyniadau, Darlithoedd a Chynadleddau a wahoddwyd

Prif Siaradwr ac Aelod o’r Pwyllgor Gwyddonol

Tachwedd 2020

Cynhadledd Rhyngwladol Oman ar Beirianneg dŵr a Rheoli adnoddau dŵr (OICWE2020), Oman
Cyd-gadeirydd, y 11eg Gynhadledd Tywydd Rhyngwladol ar Radar Tywydd a Hydroleg

Ebrill 2020

Nanjing, Tsieina
Cadeirydd 4edd Gynhadledd Rhyngwladol yr IMA ar Risg Llifogydd

Medi 2019

Abertawe, DU
Prif siaradwr - Quantitative Modelling of Climate Change Impact on Hydro-climatic Extremes

Ebrill 2019

Gweithdy Rhyngwladol Cyntaf ar Liniaru Argyfyngau Dŵr, Prifysgol Sichuan, Tsieina
Gwahoddiad i gyflwyno - Quantitative Modelling of Climate Change Impact on Flood Risks

Ionawr 2019

Flood Resilient Planning Strategies for Cultural Heritage in Southeast Asia , Bangkok, Gwlad Thai
Siaradwr gwâdd a chadeirydd y sesiwn

Hydref 2017

Yr ail Fforwm ‘To-level’ Rhyngwladol ar Strategaeth Ddatblygu Peirianneg, Gwyddoniaeth a Thechnoleg, Nanjing, Tseina
Gwahoddiad i roi cyflwyniad - Quantitative Precipitation Forecast and Its Application in Flood Research”, Prifysgol Caerwysg

Mawrth 2016

Prifysgol Caerwysg, Caerwysg, DU
Gwahoddiad i gyflwyno yng nghyfarfod rhanbarthol ar brinder dŵr yn Israel a Phalesteina, wedi ei ariannu gan y Cyngor Prydeinig

Awst 2015

Prifysgol Rhydychen, DU
Prif siaradwr – Climate Data Downscaling

Hydref 2015

Flood Defence Expo 2015, Llundain, DU
Darlithydd gwadd un diwrnod - Climate Change and Data Downscaling

Mai 2012

UNESCO-IHE, Delft, Yr Iseldiroedd
Gwahoddiad i roi cyflwyniad – Ensemble Forecast for Flood Risk Management

Gorffennaf 2010

Canolfan Feteoroleg Genedlaethol, Gweinyddiaeth Feteoroleg Tsieina, Beijing, Tsieina

Dr Yunqing Xuan

Rhif ffôn

Cyfeiriad ebost

Twitter Account

LinkedIn Account

Dolenni Ymchwil

Trosolwg

Meysydd Arbenigedd

Uchafbwyntiau Ymchwil

Holl Ymchwil

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

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, Cyfeirnod y grant: 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

Athro Cyswllt, Prifysgol Abertawe

Uwch-ddarlithydd, Prifysgol Abertawe

Darlithydd, IHE Delft, Yr Iseldiroedd

Cynorthwy-ydd Ymchwil, Prifysgol McGill, Canada

Peirianwr Rheoli Llifogydd, Swyddfa Hydroleg y Weinyddiaeth Adnoddau Dwr, Tsieina

Is-gadeirydd, Canolfan Leol Cymru'r Gymdeithas Feteorolegol Frenhinol

Aelod y Bwrdd Golygyddol, Weather Journal (Wiley)

Prif Siaradwr ac Aelod o’r Pwyllgor Gwyddonol

Cyd-gadeirydd, y 11eg Gynhadledd Tywydd Rhyngwladol ar Radar Tywydd a Hydroleg

Cadeirydd 4edd Gynhadledd Rhyngwladol yr IMA ar Risg Llifogydd

Prif siaradwr - Quantitative Modelling of Climate Change Impact on Hydro-climatic Extremes

Gwahoddiad i gyflwyno - Quantitative Modelling of Climate Change Impact on Flood Risks

Siaradwr gwâdd a chadeirydd y sesiwn

Gwahoddiad i roi cyflwyniad - Quantitative Precipitation Forecast and Its Application in Flood Research”, Prifysgol Caerwysg

Gwahoddiad i gyflwyno yng nghyfarfod rhanbarthol ar brinder dŵr yn Israel a Phalesteina, wedi ei ariannu gan y Cyngor Prydeinig

Prif siaradwr – Climate Data Downscaling

Darlithydd gwadd un diwrnod - Climate Change and Data Downscaling

Gwahoddiad i roi cyflwyniad – Ensemble Forecast for Flood Risk Management