ARTICLES PUBLISHED IN REFEREED JOURNALS

(underline indicates students/postdocs supervised by Dr Wang)

  1. Chen, H., Wang, S., Zhu, J., and Zhang, B. (2020) Projected changes in abrupt shifts between dry and wet extremes over China through an ensemble of regional climate model simulations. Journal of Geophysical Research: Atmospheres (American Geophysical Union), in press.

  2. Chen, H., Wang, S., Wang, Y., and Zhu, J. (2020) Probabilistic projections of hydrological droughts through convection-permitting climate simulations and multi-model hydrological predictions. Journal of Geophysical Research: Atmospheres (American Geophysical Union), 125, e2020JD032914.

  3. Qing, Y., Wang, S., Zhang, B., and Wang, Y. (2020) Ultra-high resolution regional climate projections for assessing changes in hydrological extremes and underlying uncertainties. Climate Dynamics (Springer), 55, 2031–2051.

  4. Carvalho, K.S. and Wang, S. (2020) Sea surface temperature variability in the Arctic Ocean and its marginal seas in a changing climate: Patterns and mechanisms. Global and Planetary Change (Elsevier), 193, 103265.

  5. Wang, S., Zhu, J., Huang, G., Baetz, B., Cheng, G., Zeng, X., and Wang, X. (2020) Assessment of climate change impacts on energy capacity planning in Ontario, Canada using high-resolution regional climate model. Journal of Cleaner Production (Elsevier), 274, 123026.

  6. Chen, H., Wang, S., and Wang, Y. (2020) Exploring abrupt alternations between wet and dry conditions on the basis of historical observations and convection-permitting climate model simulations. Journal of Geophysical Research: Atmospheres (American Geophysical Union), 125, e2019JD031982. [PDF]

  7. Faridatul, M.I., Wu, B., Zhu, X., and Wang, S. (2020) Improving remote sensing based evapotranspiration modelling in a heterogeneous urban environment. Journal of Hydrology (Elsevier), 581, 124405.

  8. Wang, S. and Zhu, J. (2020) Amplified or exaggerated changes in perceived temperature extremes under global warming. Climate Dynamics (Springer), 54, 117–127. [PDF]

  9. Zhang, B., Wang, S., and Wang, Y. (2019) Copula‐based convection‐permitting projections of future changes in multivariate drought characteristics. Journal of Geophysical Research: Atmospheres (American Geophysical Union), 124, 7460–7483. [PDF]

  10. Zhu, J., Wang, S., and Huang, G. (2019) Assessing climate change impacts on human-perceived temperature extremes and underlying uncertainties. Journal of Geophysical Research: Atmospheres (American Geophysical Union), 124, 3800–3821. [PDF]

  11. Wang, S. and Wang Y. (2019) Improving probabilistic hydroclimatic projections through high-resolution convection-permitting climate modeling and Markov chain Monte Carlo simulations. Climate Dynamics (Springer), 53, 1613–1636. [PDF]

  12. Carvalho, K.S. and Wang, S. (2019) Characterizing the Indian Ocean sea level changes and potential coastal flooding impacts. Journal of Hydrology (Elsevier), 569, 373–386. [PDF]

  13. Hu, Z., Chen, X., Chen, D., Li, J., Wang, S., Zhou, Q., Yin, G., and Guo, M. (2019) “Dry gets drier, wet gets wetter”: A case study over the arid regions of central Asia. International Journal of Climatology (Royal Meteorological Society), 39, 1072–1091. [PDF]

  14. Li, K., Huang, G., and Wang, S. (2019) Market-based stochastic optimization of water resources systems for improving drought resilience and economic efficiency in arid regions. Journal of Cleaner Production (Elsevier), 233, 522–537. [PDF]

  15. Wang, S., Wang, X., and Li, Z. (2018) Editorial - Diagnostic evaluation and uncertainty quantification of Earth and environmental systems models. Mathematical Problems in Engineering (Hindawi), 1–2. [PDF]

  16. Wang, S., Ancell, B.C., Huang, G.H., and Baetz, B.W. (2018) Improving robustness of hydrologic ensemble predictions through probabilistic pre- and post-processing in sequential data assimilation. Water Resources Research (American Geophysical Union), 54, 2129–2151. [PDF]

  17. Wang, S., Huang, G.H., Baetz, B.W., Cai, X.M., Ancell, B.C., and Fan, Y.R. (2017) Examining dynamic interactions among experimental factors influencing hydrologic data assimilation with the ensemble Kalman filter. Journal of Hydrology (Elsevier), 554, 743–757. [PDF]

  18. Wang, S., Huang, G.H., Baetz, B.W., and Ancell, B.C. (2017) Towards robust quantification and reduction of uncertainty in hydrologic predictions: Integration of particle Markov chain Monte Carlo and factorial polynomial chaos expansion. Journal of Hydrology (Elsevier), 548, 484–497. [PDF]

  19. Wang, Y.Y., Huang, G.H., and Wang, S. (2017) CVaR-based factorial stochastic optimization of water resources systems with correlated uncertainties. Stochastic Environmental Research and Risk Assessment (Springer), 31, 1543–1553.

  20. Wang, S., Huang, G.H., Baetz, B.W., and Huang, W. (2016) Probabilistic inference coupled with possibilistic reasoning for robust estimation of hydrologic parameters and piecewise characterization of interactive uncertainties. Journal of Hydrometeorology (American Meteorological Society), 17, 1243–1260.

  21. Wang, S., Huang, G.H., and Zhou, Y. (2016) A fractional-factorial probabilistic-possibilistic optimization framework for planning water resources management systems with multi-level parametric interactions. Journal of Environmental Management (Elsevier), 172, 97–106.

  22. Wang, Y.Y., Huang, G.H., Wang, S., Li, W., Guan, P.B., (2016) A risk-based interactive multi-stage stochastic programming approach for water resources planning under dual uncertainties. Advances in Water Resources (Elsevier), 94, 217–230.

  23. Liu, X.M., Huang, G.H., Wang, S., and Fan, Y.R. (2016) Water resources management under uncertainty: Factorial multi-stage stochastic program with chance constraints. Stochastic Environmental Research and Risk Assessment (Springer), 30, 945–957.

  24. Zhou, Y., Huang, G.H., Wang, S., Li, Z., and Zhou, Y. (2016) Factorial fuzzy programming for planning water resources management systems. Journal of Environmental Planning and Management (Taylor & Francis), 59, 1855–1872.

  25. Wang, Y.Y., Huang, G.H., Wang, S., and Li, W. (2016) A stochastic programming with imprecise probabilities model for planning water resources systems under multiple uncertainties. Stochastic Environmental Research and Risk Assessment (Springer), 30, 2169–2178.

  26. Zhao, S., Huang, G.H., Wang, S., Wang, X.Q., and Huang, W. (2016) Insight into sorption mechanism of phenanthrene onto gemini modified palygorskite through a multi-level fuzzy-factorial inference approach. Journal of Environmental Science and Health, Part A. Toxic/Hazardous Substances and Environmental Engineering (Taylor & Francis), 51, 759–768.

  27. Zhou, Y., Huang, G.H., Wang, S., Zhai, Y., and Xin, X. (2016) Water resources management under dual uncertainties: A factorial fuzzy two-stage stochastic programming approach. Stochastic Environmental Research and Risk Assessment (Springer), 30, 795–811.

  28. Chen, F., Huang, G.H., Fan, Y.R., and Wang, S. (2016) A copula-based chance-constrained waste management planning method: An application to the City of Regina. Journal of the Air & Waste Management Association (Taylor & Francis), 66, 307–328.

  29. Wang, S., Huang, G.H., Baetz, B.W., and Huang, W. (2015) A polynomial chaos ensemble hydrologic prediction system for efficient parameter inference and robust uncertainty assessment. Journal of Hydrology (Elsevier), 530, 716–733.

  30. Wang, S., Huang, G.H., Huang, W., Fan, Y.R., and Li, Z. (2015) A fractional factorial probabilistic collocation method for uncertainty propagation of hydrologic model parameters in a reduced dimensional space. Journal of Hydrology (Elsevier), 529, 1129–1146.

  31. Wang, S., Huang, G.H., and Baetz, B.W. (2015) An inexact probabilistic-possibilistic optimization framework for flood management in a hybrid uncertain environment. IEEE Transactions on Fuzzy Systems (IEEE Computational Intelligence Society), 23, 897–908.

  32. Wang, S., Huang, G.H., and Zhou, Y. (2015) Inexact probabilistic optimization model and its application to flood diversion planning in a dynamic and uncertain environment. Journal of Water Resources Planning and Management (American Society of Civil Engineers), 141, 04014093.

  33. Wang, S. and Huang, G.H. (2015) A multi-level Taguchi-factorial two-stage stochastic programming approach for characterization of parameter uncertainties and their interactions: An application to water resources management. European Journal of Operational Research (Elsevier), 240, 572–581.

  34. Wang, S. and Huang, G.H. (2015) Risk-based factorial probabilistic inference for optimization of flood control systems with correlated uncertainties. European Journal of Operational Research (Elsevier), 249, 258–269.

  35. Wang, S. and Huang, G.H. (2014) An integrated approach for water resources decision making under interactive and compound uncertainties. Omega – The International Journal of Management Science (Elsevier), 44, 32–40.

  36. Wang, S., Huang, G.H., Lin, Q.G., Li, Z., Zhang, H., and Fan, Y.R. (2014) Comparison of interpolation methods for estimating spatial distribution of precipitation in Ontario, Canada. International Journal of Climatology (Royal Meteorological Society), 34, 3745–3751.

  37. Wang, S., Huang, G.H., and Veawab, A. (2013) A sequential factorial analysis approach to characterize the effects of uncertainties for supporting air quality management. Atmospheric Environment (Elsevier), 67, 304–312.

  38. Wang, S. and Huang, G.H. (2013) An interval-parameter two-stage stochastic fuzzy program with type-2 membership functions: An application to water resources management. Stochastic Environmental Research and Risk Assessment (Springer), 27, 1493–1506.

  39. Wang, S. and Huang, G.H. (2013) A two-stage mixed-integer fuzzy programming with interval-valued membership functions approach for flood-diversion planning. Journal of Environmental Management (Elsevier), 117, 208–218.

  40. Wang, S., Huang, G.H., Wei, J., and He, L. (2013) Simulation-based variance components analysis for characterization of interaction effects of random factors on Trichloroethylene vapor transport in unsaturated porous media. Industrial & Engineering Chemistry Research (ACS Publications), 52, 8602–8611.

  41. Wang, S. and Huang, G.H. (2013) Interactive fuzzy boundary interval programming for air quality management under uncertainty. Water, Air, & Soil Pollution (Springer), 224: 1574.

  42. Wang, S. and Huang, G.H. (2013) A coupled factorial-analysis-based interval programming approach and its application to air quality management. Journal of the Air & Waste Management Association (Taylor Francis), 63, 179–189.

  43. Wei, J., Huang, G.H., Wang, S., Zhao, S., and Yao, Y. (2013) Improved solubilities of PAHs by multi-component Gemini surfactant systems with different spacer lengths. Colloids and Surfaces A: Physicochemical and Engineering Aspects (Elsevier), 423, 50–57.

  44. Tan, Z.F., Song, Y.H., Shen, Y.S., Zhang, C., and Wang S. (2013) An optimization-based study to analyze the impacts of clean energy and carbon emission mechanisms on inter-regional energy exchange. Journal of Environmental Informatics (International Society for Environmental Information Sciences), 22, 123–130.

  45. Wang, S., Huang, G.H., and He, L. (2012) Development of a clusterwise-linear- regression-based forecasting system for characterizing DNAPL dissolution behaviors in porous media. Science of the Total Environment (Elsevier), 433, 141–150.

  46. Wang, S., Huang, G.H., and Yang, B.T. (2012) An interval-valued fuzzy-stochastic programming approach and its application to municipal solid waste management. Environmental Modelling & Software (Elsevier), 29, 24–36.

  47. Wang, S. and Huang, G.H. (2012) Identifying optimal water resources allocation strategies through an interactive multi-stage stochastic fuzzy programming approach. Water Resources Management (Springer), 26, 2015–2038.

  48. He, L., Huang, G.H., Lu, H.W., Wang, S., and Xu, Y. (2012) Quasi-Monte Carlo based global uncertainty and sensitivity analysis in modeling free product migration and recovery from petroleum-contaminated aquifers. Journal of Hazardous Materials (Elsevier), 219–220, 133–140.

  49. Shen, Y.S., Tan, Z.F., Shen, X.L., Bai, J.J., Li, Q.Z., and Wang, S. (2012) Study of energy saving and emission reduction based on the OLAP multi-indicator relational model. Journal of Environmental Informatics (International Society for Environmental Information Sciences), 20, 115–122.

  50. Wang, S. and Huang, G.H. (2011) Interactive two-stage stochastic fuzzy programming for water resources management. Journal of Environmental Management (Elsevier), 92, 1986–1995.

  51. Wang, S., Huang, G.H., Lu, H.W., and Li, Y.P. (2011) An interval-valued fuzzy linear programming with infinite α-cuts method for environmental management under uncertainty. Stochastic Environmental Research and Risk Assessment (Springer), 25, 211–222.

© 2020 Shuo Wang. All Rights Reserved.

Department of Land Surveying and Geo-Informatics

​

Address: Hung Hom, Kowloon, Hong Kong

​Email: shuo.s.wang@polyu.edu.hk        

Phone: (852) 3400-3896