Wenyan Wu
School of Architecture and Civil Engineering
Faculty of Sciences, Engineering and Technology
Wenyan Wu is a Adjunct Lecturer at the School of Civil, Environmental and Mining Engineering, the University of Adelaide and Lecturer at the University of Melbourne. She has a background in environmental modelling and optimisation using evolutionary algorithms, with applications in optimal design and operation of water distribution systems, model-based automatic control of water treatment and modelling of water systems (both natural and man-made) using artificial intelligence. She also worked as an Environmental Engineer, when she conducted flood risk assessment and developed flood mitigation strategies with the aid of 2D hydrodynamic models. Her current research focuses on the modelling of different flood producing mechanisms and flood risk assessment considering their joint impact.
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Appointments
Date Position Institution name 2018 - ongoing Lecturer University of Melbourne 2018 - ongoing Adjunct Lecturer University of Adelaide 2016 - ongoing Senior Research Associate University of Adelaide 2015 - 2016 Environmental Engineer Australian Water Environments 2014 - 2015 Research Associate/Lecturer University of Adelaide 2011 - 2014 Research Associate University of Adelaide -
Awards and Achievements
Date Type Title Institution Name Country Amount 2013 Award ASCE Outstanding Reviewer Journal of Water Resources Planning and Management, American Society of Civil Engineers (ASCE) United States - 2012 Award Dean's Commendation for Doctoral Thesis Excellence The University of Adelaide Australia - 2010 Award ACCARNSI Early Career Researcher Travel Grant Australian Climate Change Adaptation Research Network for Settlements and Infrastructure (ACCARNSI) Australia - 2008 Scholarship Research Abroad Scholarship University of Adelaide Australia 2000 AUD 2008 Scholarship Dr Stranks Postgraduate Travelling Fellowship University of Adelaide Australia 5000 AUD 2008 Award Second Best Paper at the 10th Annual Water Distribution Systems Analysis Conference American Society of Civil Engineers (ASCE) United States - 2007 Scholarship Endeavour International Postgraduate Research Scholarship (EIPRS) University of Adelaide Australia - 2003 Achievement First Class Honour Graduate of Shandong Province Ministry of Education, Shandong Province China - 1999 Scholarship QUST First Class Scholarship Qingdao University of Science and Technology China - -
Language Competencies
Language Competency Chinese (Mandarin) Can read, write, speak, understand spoken and peer review English Can read, write, speak, understand spoken and peer review -
Education
Date Institution name Country Title 2007 - 2012 University of Adelaide Australia PhD (Environmental Engineering) 2005 - 2006 University of Adelaide Australia Master of Engineering (Civil and Environmental) 2004 - 2005 University of Adelaide Australia Master of Environmental Studies 1999 - 2003 Qingdao University of Science and Technology China Bachelor of Science (First Class Honours) -
Research Interests
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Journals
Year Citation 2023 Chu, H., Wu, J., Wu, W., & Wei, J. (2023). A dynamic classification-based long short-term memory network model for daily streamflow forecasting in different climate regions. Ecological Indicators, 148, 110092.
2023 Castelletti, A., Ficchì, A., Cominola, A., Segovia, P., Giuliani, M., Wu, W., . . . Maestre, J. M. (2023). Model Predictive Control of water resources systems: A review and research agenda. Annual Reviews in Control, 55, 442-465.
Scopus32023 Du, Y., Wang, Q. J., Su, C. H., Wu, W., & Yang, Q. (2023). Estimating daily precipitation climatology by postprocessing high-resolution reanalysis data. International Journal of Climatology, 43(9), 4151-4165.
2023 Fraehr, N., Wang, Q. J., Wu, W., & Nathan, R. (2023). Development of a Fast and Accurate Hybrid Model for Floodplain Inundation Simulations. Water Resources Research, 59(6), 1-22.
2023 Giudicianni, C., Mitrovic, D., Wu, W., Ferrarese, G., Pugliese, F., I. Fernández-García., . . . Creaco, E. (2023). Energy recovery strategies in water distribution networks: literature review and future directions in the net-zero transition. Urban Water Journal, 1-16.
Scopus22023 Kattel, G. R., Paszkowski, A., Pokhrel, Y., Wu, W., Li, D., & Rao, M. P. (2023). How resilient are waterways of the Asian Himalayas? Finding adaptive measures for future sustainability. WIREs Water, 1-23.
Scopus12023 Wu, W., Eamen, L., Dandy, G., Razavi, S., Kuczera, G., & Maier, H. R. (2023). Beyond engineering: A review of reservoir management through the lens of wickedness, competing objectives and uncertainty. Environmental Modelling and Software, 167, 105777-1-105777-17.
Scopus1 WoS12023 Graham, T. D. J., Wang, Q. J., Tang, Y., Western, A., Wu, W., Ortlipp, G., . . . Yang, Q. (2023). Using Ensemble Streamflow Forecasts to Inform Seasonal Outlooks for Water Allocations in the Murray Darling Basin. Journal of Water Resources Planning and Management, 149(9), 05023007-1-05023007-11.
2023 Zhao, Q., Wu, W., Simpson, A. R., & Willis, A. (2023). Water Distribution System Optimization Considering Behind-the-Meter Solar Energy with a Hydraulic Power-Based Search-Space Reduction Method. Journal of Water Resources Planning and Management, 149(9), 04023046-1-04023046-15.
Scopus12023 Maier, H. R., Galelli, S., Razavi, S., Castelletti, A., Rizzoli, A., Athanasiadis, I. N., . . . Humphrey, G. B. (2023). Exploding the myths: An introduction to artificial neural networks for prediction and forecasting. Environmental Modelling and Software, 167, 105776.
Scopus12023 Maier, H. R., Zheng, F., Gupta, H., Chen, J., Mai, J., Savic, D., . . . Zhao, J. (2023). On how data are partitioned in model development and evaluation: Confronting the elephant in the room to enhance model generalization. Environmental Modelling and Software, 167, 105779-1-105779-8.
2023 Yao, J., Wu, W., Simpson, A. R., & Rismanchi, B. (2023). Water distribution system design integrating behind-the-meter solar under long-term uncertainty. Sustainable Cities and Society, 98, 104844.
2022 Forouhar, L., Wu, W., Wang, Q. J., & Hakala, K. (2022). A hybrid framework for short-term irrigation demand forecasting. Agricultural Water Management, 273, 107861.
Scopus42022 Boroomandnia, A., Rismanchi, B., & Wu, W. (2022). A review of micro hydro systems in urban areas: Opportunities and challenges. Renewable and Sustainable Energy Reviews, 169, 112866-1-112866-16.
Scopus4 WoS42022 Zhao, P., Wang, Q. J., Wu, W., & Yang, Q. (2022). Spatial mode-based calibration (SMoC) of forecast precipitation fields from numerical weather prediction models. Journal of Hydrology, 613, 128432.
Scopus12022 Zhao, Q., Wu, W., Simpson, A. R., & Willis, A. (2022). Simpler Is Better-Calibration of Pipe Roughness in Water Distribution Systems. Water, 14(20), 3276-1-3276-20.
Scopus2 WoS22022 Yang, Q., Wu, W., Wang, Q. J., & Vaze, J. (2022). A 2D hydrodynamic model-based method for efficient flood inundation modelling. Journal of Hydroinformatics, 24(5), 1004-1019.
Scopus22022 Wu, W., Zhou, Y., & Leonard, M. (2022). Evolutionary algorithm-based multiobjective reservoir operation policy optimisation under uncertainty. Environmental Research Communications, 4(12), 11 pages.
Scopus12022 Stephens, S. A., & Wu, W. (2022). Mapping Dependence between Extreme Skew-Surge, Rainfall, and River-Flow. Journal of Marine Science and Engineering, 10(12), 1818.
2022 Zhou, Y., Wu, W., Nathan, R., & Wang, Q. J. (2022). Deep Learning-Based Rapid Flood Inundation Modeling for Flat Floodplains With Complex Flow Paths. Water Resources Research, 58(12), e2022WR033214-1-e2022WR033214-16.
Scopus32022 Dandy, G., Wu, W., Simpson, A., & Leonard, M. (2022). A Review of Sources of Uncertainty in Optimization Objectives of Water Distribution Systems. Water, 15(1), 1-17.
Scopus2 WoS22022 Du, Y., Wang, Q. J., Wu, W., & Yang, Q. (2022). Power transformation of variables for post-processing precipitation forecasts: Regionally versus locally optimized parameter values. Journal of Hydrology, 610, 127912.
Scopus42022 Fraehr, N., Wang, Q. J., Wu, W., & Nathan, R. (2022). Upskilling low‐fidelity hydrodynamic models of flood inundation through spatial analysis and Gaussian Process learning. Water Resources Research, 58(8), e2022WR032248-1-e2022WR032248-21.
Scopus4 WoS32022 Zhao, P., Wang, Q. J., Wu, W., & Yang, Q. (2022). Extending a joint probability modelling approach for post-processing ensemble precipitation forecasts from numerical weather prediction models. Journal of Hydrology, 605, 127285.
Scopus82022 Yang, Q., Wang, Q. J., Western, A. W., Wu, W., Shao, Y., & Hakala, K. (2022). Reconstructing climate trends adds skills to seasonal reference crop evapotranspiration forecasting. Hydrology and Earth System Sciences, 26(4), 941-954.
2022 Mohapatra, S. S., Wu, W., Tiwari, M. K., & Arora, M. (2022). An IUWM incorporated model to improve water supply reliability in intermittent and no service areas. Resources, Conservation and Recycling, 181, 106248-1-106248-12.
Scopus3 WoS22021 Perera, L., Thompson, R. G., & Wu, W. (2021). Determining optimum toll charges for freight vehicles considering multi-stakeholder objectives in urban conditions. Transportation Journal, 60(2), 171-207.
Scopus42021 Song, X., Mo, Y., Xuan, Y., Wang, Q. J., 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), 13 pages.
Scopus10 WoS102021 Chu, H., Wei, J., Wu, W., Jiang, Y., Chu, Q., & Meng, X. (2021). A classification-based deep belief networks model framework for daily streamflow forecasting. Journal of Hydrology, 595, 125967.
Scopus142021 Wang, Y., Too Yok, K., Wu, W., Simpson, A. R., Weyer, E., & Manzie, C. (2021). Minimizing Pumping Energy Cost in Real-Time Operations of Water Distribution Systems Using Economic Model Predictive Control. Journal of Water Resources Planning and Management, 147(7), 12 pages.
Scopus7 WoS62021 Wu, W., Westra, S., & Leonard, M. (2021). Estimating the probability of compound floods in estuarine regions. Hydrology and Earth System Sciences, 25(5), 2821-2841.
Scopus18 WoS162021 Zhou, Y., Wu, W., Nathan, R., & Wang, Q. J. (2021). A rapid flood inundation modelling framework using deep learning with spatial reduction and reconstruction. Environmental Modelling & Software, 143, 105112-1-105112-14.
Scopus20 WoS212021 Zhao, P., Wang, Q. J., Wu, W., & Yang, Q. (2021). Which precipitation forecasts to use? Deterministic versus coarser-resolution ensemble NWP models. Quarterly Journal of the Royal Meteorological Society, 147(735), 900-913.
Scopus142021 Zhou, Y., Wu, W., Nathan, R., & Wang, Q. J. (2021). Python program for spatial reduction and reconstruction method in flood inundation modelling. MethodsX, 8, 101527.
Scopus22021 Perera, L., Thompson, R. G., & Wu, W. (2021). Toll and subsidy for freight vehicles on urban roads: A policy decision for City Logistics. Research in Transportation Economics, 90, 15 pages.
Scopus3 WoS22021 Bevacqua, E., De Michele, C., Manning, C., Couasnon, A., Ribeiro, A. F. S., Ramos, A. M., . . . Zscheischler, J. (2021). Guidelines for Studying Diverse Types of Compound Weather and Climate Events. Earth's Future, 9(11), 23 pages.
Scopus45 WoS432020 Wu, W., Maier, H. R., Dandy, G. C., Arora, M., & Castelletti, A. (2020). The changing nature of the water–energy nexus in urban water supply systems: A critical review of changes and responses. Journal of Water and Climate Change, 11(4), 1095-1122.
Scopus23 WoS212020 Wu, W. (2020). Response to Reviewer 2 comments.
2020 Wu, W. (2020). Response to Reviewer 1 comments.
2020 Chu, H., Wei, J., & Wu, W. (2020). Streamflow prediction using LASSO-FCM-DBN approach based on hydro-meteorological condition classification. Journal of Hydrology, 580, 11 pages.
Scopus26 WoS222020 Chu, H., Wu, W., Wang, Q. J., Nathan, R., & Wei, J. (2020). An ANN-based emulation modelling framework for flood inundation modelling: Application, challenges and future directions. Environmental Modelling and Software, 124, 104587.
Scopus612020 Wu, W., Emerton, R., Duan, Q., Wood, A. W., Wetterhall, F., & Robertson, D. E. (2020). Ensemble flood forecasting: Current status and future opportunities. Wiley Interdisciplinary Reviews: Water, 7(3), 32 pages.
Scopus73 WoS722020 Perera, L., Thompson, R. G., & Wu, W. (2020). A multi-class toll-based approach to reduce total emissions on roads for sustainable urban transportation. Sustainable Cities and Society, 63, 16 pages.
Scopus26 WoS222020 Xie, S., Wu, W., Mooser, S., Wang, Q. J., Nathan, R., & Huang, Y. (2020). Artificial neural network based hybrid modeling approach for flood inundation modeling. Journal of Hydrology, 592, 1-14.
Scopus33 WoS312019 Wu, W., & Leonard, M. (2019). Impact of ENSO on dependence between extreme rainfall and storm surge. Environmental Research Letters, 14(12), 124043-[i]1-124043-13.
Scopus11 WoS102018 Fu, Y., & Wu, W. (2018). Behavioural informatics for improving water hygiene practice based on IoT environment. Journal of Biomedical Informatics, 78, 156-166.
Scopus12 WoS62018 Zheng, F., Maier, H., Wu, W., Dandy, G., Gupta, H., & Zhang, T. (2018). On lack of robustness in hydrological model development due to absence of guidelines for selecting calibration and evaluation data: demonstration for data-driven models. Water Resources Research, 54(2), 1013-1030.
Scopus68 WoS602018 Wu, W., Mcinnes, K., O'grady, J., Hoeke, R., Leonard, M., & Westra, S. (2018). Mapping dependence between extreme rainfall and storm surge. Journal of Geophysical Research: Oceans, 123(4), 2461-2474.
Scopus64 WoS572017 Tang, Z., Wu, W., Han, X., & Zhao, M. (2017). An experimental study of two-phase pulse flushing technology in water distribution systems. Water (Switzerland), 9(12), 25 pages.
Scopus4 WoS22017 Humphrey, G., Maier, H., Wu, W., Mount, N., Dandy, G., Abrahart, R., & Dawson, C. (2017). Improved validation framework and R-package for artificial neural network models. Environmental Modelling and Software, 92, 82-106.
Scopus47 WoS452017 Wu, W., Dandy, G., Maier, H., Maheepala, S., Marchi, A., & Mirza, F. (2017). Identification of optimal water supply portfolios for a major city. Journal of Water Resources Planning and Management, 143(9), 05017007-1-05017007-13.
Scopus21 WoS172017 Wu, W., Westra, S., & Leonard, M. (2017). A basis function approach for exploring the seasonal and spatial features of storm surge events. Geophysical Research Letters, 44(14), 7356-7365.
Scopus9 WoS92016 Wu, W., Maier, H., Dandy, G., Leonard, R., Bellette, K., Cuddy, S., & Maheepala, S. (2016). Including stakeholder input in formulating and solving real-world optimisation problems: Generic framework and case study. Environmental Modelling and Software, 79, 197-213.
Scopus31 WoS322015 Jin, X., & Wu, W. (2015). Merged two-level optimization for optimal pump operation of large scale urban water distribution system. Journal of Water Supply: Research and Technology - AQUA, 64(8), 915-926.
2015 Wu, W., Dandy, G., & Maier, H. (2015). Optimal control of total chlorine and free ammonia levels in a water transmission pipeline using artificial neural networks and genetic algorithms. Journal of Water Resources Planning and Management, 141(7), 04014085-1-04014085-12.
Scopus11 WoS82015 Zhao, L., Zhang, J., Shen, Y., & Wu, W. (2015). Design and implementation of energy saving controller for air-conditioner in building. International Journal of Smart Home, 9(8), 47-54.
Scopus22014 Yang, P., & Wu, W. (2014). Efficient particle filter localization algorithm in dense passive RFID tag environment. IEEE Transactions on Industrial Electronics, 61(10), 5641-5651.
Scopus115 WoS992014 Marchi, A., Salomons, E., Ostfeld, A., Kapelan, Z., Simpson, A., Zecchin, A., . . . Asadzadeh, M. (2014). The Battle of the Water Networks II (BWN-II). Journal of Water Resources Planning and Management, 140(7), 04014009:1-04014009:14.
Scopus103 WoS862014 Wu, W., Dandy, G., & Maier, H. (2014). Protocol for developing ANN models and its application to the assessment of the quality of the ANN model development process in drinking water quality modelling. Environmental Modelling & Software, 54, 108-127.
Scopus218 WoS2072013 Wu, W., May, R., Maier, H., & Dandy, G. (2013). A benchmarking approach for comparing data splitting methods for modeling water resources parameters using artificial neural networks. Water Resources Research, 49(11), 7598-7614.
Scopus64 WoS622013 Wu, W., Maier, H., & Simpson, A. (2013). Multiobjective optimization of water distribution systems accounting for economic cost, hydraulic reliability, and greenhouse gas emissions. Water Resources Research, 49(3), 1211-1225.
Scopus58 WoS562012 Wu, W., Simpson, A., Maier, H., & Marchi, A. (2012). Incorporation of variable-speed pumping in multiobjective genetic algorithm optimization of the design of water transmission systems. Journal of Water Resources Planning and Management, 138(5), 543-552.
Scopus47 WoS432012 Wu, W., Simpson, A., & Maier, H. (2012). Sensitivity of optimal tradeoffs between cost and greenhouse gas emissions for water distribution systems to electricity tariff and generation. Journal of Water Resources Planning and Management, 138(2), 182-186.
Scopus34 WoS292011 Wu, W., Maier, H., & Simpson, A. (2011). Surplus power factor as a resilience measure for assessing hydraulic reliability in water transmission system optimization. Journal of Water Resources Planning and Management, 137(6), 542-546.
Scopus17 WoS132010 Wu, W., Simpson, A., & Maier, H. (2010). Accounting for greenhouse gas emissions in multiobjective genetic algorithm optimization of water distribution systems. Journal of Water Resources Planning and Management, 136(2), 146-155.
Scopus96 WoS812010 Wu, W., Maier, H., & Simpson, A. (2010). Single-objective versus multiobjective optimization of water distribution systems accounting for greenhouse gas emissions by carbon pricing. Journal of Water Resources Planning and Management, 136(5), 555-565.
Scopus65 WoS53- Wu, W., Westra, S., & Leonard, M. (n.d.). Supplementary material to "Estimating the Probability of Compound Floods in Estuarine Regions".
- Wu, W., Westra, S., & Leonard, M. (n.d.). Estimating the Probability of Compound Floods in Estuarine Regions.
- Yang, Q., Wang, Q. J., Western, A. W., Wu, W., Shao, Y., & Hakala, K. (n.d.). Reconstructing climate trends adds skills to seasonal reference crop evapotranspiration forecasting.
- Yang, Q., Wang, Q. J., Western, A. W., Wu, W., Shao, Y., & Hakala, K. (n.d.). Supplementary material to "Reconstructing climate trends adds skills to seasonal reference crop evapotranspiration forecasting".
- Zhao, P., Wang, Q. J., Wu, W., & Yang, Q. (n.d.). Spatial Mode-based Calibration (SMoC) of Forecast Precipitation Fields from Numerical Weather Prediction Models.
- Fraehr, N., Wang, Q. J., Wu, W., & Nathan, R. (n.d.). Upskilling low-fidelity hydrodynamic models of flood inundation through spatial analysis and Gaussian Process learning.
- Fraehr, N., Wang, Q. J., Wu, W., & Nathan, R. (n.d.). Upskilling low-fidelity hydrodynamic models of flood inundation through spatial analysis and Gaussian Process learning.
- Mohapatra, S. S., Arora, M., Wu, W., & Tiwari, M. K. (n.d.). Integrated urban water management modeling under future water demand and climate scenarios for the city of Bangalore, India.
- Fraehr, N., Wang, Q. J., Wu, W., & Nathan, R. (n.d.). Supercharging hydrodynamic inundation models for instant flood insight. Nature Water.
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Conference Papers
Year Citation 2022 Wang, Y., Zhao, Q., Wu, W., Willis, A., Simpson, A. R., & Weyer, E. (2022). Improved Pump Setpoint Selection Using a Calibrated Hydraulic Model of a High-Pressure Irrigation System. In Proceedings of the 2nd IFAC Workshop on Control Methods for Water Resource Systems (CMWRS, 2022) as published in IFAC-PapersOnLine Vol. 55 (pp. 72-77). Milano, ITALY: Elsevier.
2019 Xu, W., Syme, B., Huxley, C., & Wu, W. (2019). Urban flood modelling and planning system (UFMPS). In 23rd International Congress on Modelling and Simulation - Supporting Evidence-Based Decision Making: The Role of Modelling and Simulation, MODSIM 2019 (pp. 944-950). 2018 Hussain, A., & Wu, W. (2018). Sustainable interoperability and data integration for the IoT-based information systems. In Y. Wu, G. Min, N. Georgalas, A. AlDubi, X. Jin, L. Yang, . . . P. Yang (Eds.), Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017 Vol. 2018-January (pp. 824-829). Exeter, ENGLAND: IEEE.
Scopus4 WoS42018 Tang, Z., Wu, W., Gao, J., & Yang, P. (2018). Feasibility study on wireless passive SAW sensor in iot enabled water distribution system. In Y. Wu, G. Min, N. Georgalas, A. AlDubi, X. Jin, L. Yang, . . . P. Yang (Eds.), Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017 Vol. 2018-January (pp. 830-834). Exeter, ENGLAND: IEEE.
Scopus8 WoS82016 Wang, J. J., Tang, Z. Z., Gui, Y. W., Wu, W. Y., & Zhao, M. (2016). Model and application of pressure-dependent leakage detection in water distribution network. In Progress in Civil, Architectural and Hydraulic Engineering - Selected Papers of the 4th International Conference on Civil, Architectural and Hydraulic Engineering, ICCAHE 2015 (pp. 795-802). CRC Press.
Scopus22015 Li, S., Wang, R., Wu, W., Sun, J., & Jing, Y. (2015). Non-hydraulic factors analysis of pipe burst in water distribution systems. In B. Ulanicki, Z. Kapelan, & J. Boxall (Eds.), Procedia Engineering Vol. 119 (pp. 53-62). Univ Exeter, Leicester, ENGLAND: ELSEVIER SCIENCE BV.
Scopus10 WoS162014 Qi, S., Ye, J., Gao, J., Wu, W., Wang, J., Zhang, Z., . . . Zhou, L. (2014). Fractal-based planning of urban water distribution system in China. In O. Giustolisi, B. Brunone, D. Laucelli, L. Berardi, & A. Campisano (Eds.), Procedia Engineering Vol. 89 (pp. 886-892). Bari, ITALY: ELSEVIER SCIENCE BV.
Scopus4 WoS32014 Gao, J., Qi, S., Wu, W., Li, D., Ruan, T., Chen, L., . . . Zhuang, Y. (2014). Study on leakage rate in water distribution network using fast independent component analysis. In O. Giustolisi, B. Brunone, D. Laucelli, L. Berardi, & A. Campisano (Eds.), Procedia Engineering Vol. 89 (pp. 934-941). Bari, ITALY: ELSEVIER SCIENCE BV.
Scopus4 WoS42014 Qi, S., Gao, J., Wu, W., Qiao, Y., Tu, M., & Wang, J. (2014). Research on an optimized leakage locating model in water distribution system. In O. Giustolisi, B. Brunone, D. Laucelli, L. Berardi, & A. Campisano (Eds.), Procedia Engineering Vol. 89 (pp. 1569-1576). Bari, ITALY: ELSEVIER SCIENCE BV.
Scopus4 WoS32012 Wu, W., Maier, H., & Dandy, G. (2012). ANN forecasting of water quality in the chloraminated goldfield and agricultural pipeline system: constructive input selection. In WDSA 2012: 14th Water Distribution Systems Analysis Conference, 24-27 September 2012 in Adelaide, South Australia Vol. 1 (pp. 425-434). Adelaide, S.A.: Engineers Australia. 2012 Stokes, C., Wu, W., & Dandy, G. (2012). Battle of the water networks II: Combining engineering judgement with genetic algorithm optimisation. In 14th Water Distribution Systems Analysis Conference 2012, WDSA 2012 Vol. 1 (pp. 77-89).
Scopus62012 Wu, W., Maier, H., Dandy, G., & May, R. (2012). Exploring the impact of data splitting methods on artificial neural network models. In Proceedings of the 10th International Conference on Hydroinformatics, HIC2012 (pp. 1-8). CD: HIC2012. 2012 Wu, W., May, R., Dandy, G., & Maier, H. (2012). A method for comparing data splitting approaches for developing hydrological ANN models. In Proceedings of the 6th Biennial Meeting of the International Environmental Modelling and Software Society, iEMSs 2012 (pp. 1-8). online: International Environmental Modelling & Software Society.
Scopus192011 Wu, W., Simpson, A., & Maier, H. (2011). Reducing greenhouse gas emissions from water distribution systems using multi-objective optimisation and variable speed pumping. In Ozwater 11: Australia's National Water Conference and Exhibition (pp. 1-7). USB: Ozwater. 2011 Wu, W., Dandy, G., & Maier, H. (2011). Application of artificial neural networks to forecasting water quality in a chloraminated water distribution system. In Proceedings of the 19th MODSIM (pp. 1112-1118). Australia: The Modelling and Simulation Society of Australia and NZ.
Scopus13 WoS92011 Gao, J., Zhang, J., Chen, C., Wu, W., & Zheng, C. (2011). Analysis of oilfield urban water supply networks planning. In Urban Water Management: Challenges and Oppurtunities - 11th International Conference on Computing and Control for the Water Industry, CCWI 2011 Vol. 3. 2010 Wu, W., Simpson, A., & Maier, H. (2010). Reducing the carbon footprint from water distribution systems by using a lower discount rate. In Proceedings of Practical Responses to Climate Change National Conference 2010 (pp. 1-10). www: CSIRO. 2010 Wu, W., Simpson, A., & Maier, H. (2010). Accounting for carbon: selecting the appropriate discount rate for multi-objective optimisation of water distribution systems. In Proceedings of Ozwater '10, Australia's National Water Conference and Exhibition (pp. 1-8). Australia: Australian Water Association. 2010 Wu, W., Simpson, A., & Maier, H. (2010). Trade-off analysis between cost and reliability of water distribution systems using genetic algorithms. In Integrated Water Systems (pp. 687-693). London: Taylor & Francis Group.
Scopus8 WoS12009 Wu, W., Maier, H., & Simpson, A. (2009). Multi-objective water distribution system optimisation accounting for carbon emissions under different electricity tariffs. In Proceedings of the AWA Ozwater Convention and Exhibition (pp. 1-8). Australia: AWA. 2008 Wu, W., Simpson, A., & Maier, H. (2008). Water distribution system optimisation accounting for a range of future possible carbon prices. In WDSA 2008: Proceedings of the 10th Annual Water Distribution Systems Analysis Conference, August 17-20, 2008, Kruger National Park, South Africa (pp. 0 pages). United States: American Society of Civil Engineers.
Scopus152008 Wu, W., Maier, H., & Simpson, A. (2008). Genetic algorithm optimisation of water distribution systems accounting for greenhouse gas emissions. In E. Valentine (Ed.), Proceedings of the 9th National Conference on Hydraulics in Water Engineering (pp. 1-8). CD: Engineers Australia.
Scopus12008 Wu, W., Simpson, A., & Maier, H. (2008). Multi-objective genetic algorithm optimisation of water distribution systems accounting for sustainability. In M. Lambert (Ed.), Proceedings of Water Down Under 2008 (pp. 1750-1761). CD: Engineers Australia. 2005 Zhao, H., Wu, C., Gao, J., Wu, W., Liu, Y., Wang, Q., & Guan, W. (2005). Study and applications of on-line optimal operation in typical urban water supply system of China. In Proceedings of the 8th International Conference on Computing and Control for the Water Industry, CCWI 2005: Water Management for the 21st Century Vol. 1. -
Conference Items
Year Citation 2018 Wu, W., Westra, S., & Leonard, M. (2018). A comparison of flood estimation methods in estuarine regions. Poster session presented at the meeting of EGU General Assembly 2018. Vienna, Austria. 2018 Leonard, M., Wu, W., & Westra, S. (2018). Censored Continuous Simulation for Flood Probability Estimation in Estuarine Regions. Poster session presented at the meeting of Floodplain Management Australia,. Gold Coast. 2017 Wu, W., Westra, S., Leonard, M., & McInnes, K. (2017). Mapping dependence between extreme rainfall and storm surge across the Australian coastline using ROMS. Poster session presented at the meeting of EGU General Assembly 2017. Vienna, Austria. 2017 Leonard, M., Wu, W., & Westra, S. (2017). A Basis Function Approach to Simulate Storm Surge Events for Coastal Flood Risk Assessment. Poster session presented at the meeting of EGU General Assembly 2017. Vienna, Austria. -
Report for External Bodies
Year Citation 2018 Wu, W., Westra, S., & Leonard, M. (2018). A unified approach for estimating coastal flood risk.
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Committee Memberships
Date Role Committee Institution Country 2016 - ongoing Member Hydrological Society of South Australia - Australia -
Memberships
Date Role Membership Country 2017 - ongoing Member European Geosciences Union -
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