Publications

Peer-Reviewed Journal Publications:

  1. Cai, B., X. Wang, G. Huang, J. Wang, D. Cao, B. W. Baetz, L. Liu, H. Zhang, A. Fenech, and Z. Liu (2018). Spatiotemporal Changes of China’s Carbon Emissions. Geophysical Research Letters (American Geophysical Union), 45(16):8536-8546. doi:10.1029/2018GL079564.
  2. Zhu, J., G. Huang, B. Baetz, X. Wang, and G. Cheng (2018). Climate Warming Will Not Decrease Perceived Low-Temperature Extremes in China. Climate Dynamics (Springer). doi:10.1007/s00382-018-4469-8.
  3. Zhou, X., G. Huang, X. Wang, and G. Cheng (2018). Future Changes in Precipitation Extremes over Canada: Driving Factors and Inherent Mechanism. Journal of Geophysical Research: Atmospheres (American Geophysical Union), 123(11):5783-5803. doi:10.1029/2017JD027735.
  4. Guo, J., G. Huang, X. Wang, Y. Li, and L. Yang (2018). Future Changes in Precipitation Extremes over China Projected by a Regional Climate Model Ensemble. Atmospheric Environment (Elsevier), 188:142-156. doi:10.1016/j.atmosenv.2018.06.026.
  5. Song, T., G. Huang, X. Zhou, and X. Wang (2018). An Inexact Two-Stage Fractional Energy Systems Planning Model. Energy (Elsevier), 160:275-289. doi:10.1016/j.energy.2018.06.158.
  6. Zhai, Y., G. Huang, X. Wang, X. Zhou, C. Lu, and Z. Li (2018). Future Projections of Temperature Changes in Ottawa, Canada through Stepwise Clustered Downscaling of Multiple GCMs under RCPs. Climate Dynamics (Springer). doi:10.1007/s00382-018-4340-y.
  7. Zhou, X., G. Huang, B. W. Baetz, X. Wang, and G. Cheng (2018). PRECIS-Projected Increases in Temperature and Precipitation over Canada. Quarterly Journal of the Royal Meteorological Society (Royal Meteorological Society), 144(711):588-603. doi:10.1002/qj.3231.
  8. Zhu, J., G. Huang, X. Wang, G. Cheng, and Y. Wu (2018). High-Resolution Projections of Mean and Extreme Precipitations over China through PRECIS under RCPs. Climate Dynamics (Springer), 50(11-12):4037-4060. doi:10.1007/s00382-017-3860-1
  9. Guo, J., G. Huang, X. Wang, Y. Li, and Q. Lin (2018). Dynamically-Downscaled Projections of Changes in Temperature Extremes over China. Climate Dynamics (Springer), 50(3-4):1045-1066. doi:10.1007/s00382-017-3660-7.
  10. Zhou, X., G. Huang, X. Wang, and G. Cheng (2018). Dynamically-Downscaled Temperature and Precipitation Changes over Saskatchewan Using the PRECIS Model. Climate Dynamics (Springer), 50(3-4):1321-1334. doi:10.1007/s00382-017-3687-9.
  11. Wang, L., G. Huang, X. Wang, and H. Zhu (2018). Risk-Based Electric Power System Planning for Climate Change Mitigation through Multi-Stage Joint-Probabilistic Left-Hand-Side Chance-Constrained Fractional Programming: A Canadian Case Study. Renewable & Sustainable Energy Reviews (Elsevier), 82(1):1056-1067. doi:10.1016/j.rser.2017.09.098.
  12. Wang, X., G. Huang, B. W. Baetz, and S. Zhao (2017). Probabilistic Projections of Regional Climatic Changes over the Great Lakes Basin. Climate Dynamics (Springer), 49(7-8):2237-2247. doi:10.1007/s00382-016-3450-7.
  13. Zhou, X., G. Huang, X. Wang, Y. Fan, and G. Cheng (2017). A Coupled Dynamical-Copula Downscaling Approach for Temperature Projections over the Canadian Prairies. Climate Dynamics (Springer). doi:10.1007/s00382-017-4020-3.
  14. Zhu, J., G. Huang, X. Wang, and G. Cheng (2017). Investigation of Changes in Extreme Temperature and Humidity over China through a Dynamical Downscaling Approach. Earth’s Future (American Geophysical Union), 5(11):1136-1155. doi:10.1002/2017EF000678.
  15. Guo, J., G. Huang, X. Wang, Y. Li, and Q. Lin (2017). Investigating Future Precipitation Changes over China through a High-Resolution Regional Climate Model Ensemble. Earth’s Future (American Geophysical Union), 5(3):285-303. doi:10.1002/2016EF000433.
  16. Zeng, X., Y. Zhu, C. Chen, Y. Tong, Y. Li, G. Huang, S. Nie, and X. Wang (2017). A Production-Emission Nexus Based Stochastic-Fuzzy Model for Identification of Urban Industry-Environment Policy under Uncertainty. Journal of Cleaner Production (Elsevier), 154:61-82. doi:10.1016/j.jclepro.2017.03.137.
  17. Fan, Y., G. Huang, Y. Li, X. Wang, Z. Li, and L. Jin (2017). Development of PCA-based Cluster Quantile Regression (PCA-CQR) Framework for Streamflow Prediction: Application to the Xiangxi River Watershed, China. Applied Soft Computing (Elsevier), 51:280-293. doi:10.1016/j.asoc.2016.11.039.
  18. Zhang, Y., G. Huang, X. Wang, and Z. Liu (2017). Observed Changes in Temperature Extremes for the Beijing-Tianjin-Hebei Region of China. Meteorological Applications (Royal Meteorological Society), 24(1):74-83. doi:10.1002/met.1606.
  19. Li, Z., G. Huang, X. Wang, J. Han, and Y. Fan (2016). Impacts of Future Climate Change on River Discharge Based on Hydrological Inference: A Case Study of the Grand River Watershed in Ontario, Canada. Science of the Total Environment (Elsevier), 548-549:198-210. doi:10.1016/j.scitotenv.2016.01.002.
  20. Wang, X., G. Huang, J. Liu, Z. Li, and S. Zhao (2016). GIS-Based Data Portal for Climate Change Impact Assessment. Bulletin of the American Meteorological Society (American Meteorological Society), 97: 17-18.
  21. Fan, Y., G. Huang, Y. Li, X. Wang, and Z. Li (2016). Probabilistic Prediction for Monthly Streamflow through Coupling Stepwise Cluster Analysis and Quantile Regression Methods. Water Resources Management (Springer), 30(14):5313-5331. doi:10.1007/s11269-016-1489-1.
  22. Wang, X., G. Huang, and J. Liu (2016). Observed Regional Climatic Changes over Ontario, Canada in Response to Global Warming. Meteorological Applications (Royal Meteorological Society), 23(1): 140-149. doi:10.1002/met.1541
  23. Zhao, S., G. Huang, S. Wang, X. Wang, and W. Huang (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(9):759-768. doi:10.1080/10934529.2016.1170459.
  24. Wang, X., G. Huang, and B. W. Baetz (2016). Dynamically-Downscaled Probabilistic Projections of Precipitation Changes: A Canadian Case Study. Environmental Research (Elsevier), 148:86-101. doi:10.1016/j.envres.2016.03.019.
  25. Zhao, S., G. Huang, X. Wang, Y. Fan, and C. An (2016). Sorption of Phenanthrene onto Diatomite under the Influences of Solution Chemistry: A Study of Linear Sorption Based on Maximal Information Coefficient. Journal of Environmental Informatics (International Society for Environmental Information Sciences). doi:10.3808/jei.201600 329.
  26. Wang, X., G. Huang, and J. Liu (2016). Twenty-First Century Probabilistic Projections of Precipitation over Ontario, Canada through a Regional Climate Model Ensemble. Climate Dynamics (Springer), 46(11-12):3979-4001. doi:10.1007/s00382-015-2816-6.
  27. Zhuang, X., Y. Li, G. Huang, and X. Wang (2016). A Hybrid Factorial Stepwise-Cluster Analysis Method for Streamflow Simulation – A Case Study in Northwestern China. Hydrological Sciences Journal (International Association of Hydrological Sciences), 61(15):2775-2788. doi:10.1080/02626667.2015.1125482.
  28. Wang, X., G. Huang, J. Liu, Z, Li, and S. Zhao (2015). Ensemble Projections of Regional Climatic Changes over Ontario, Canada. Journal of Climate (American Meteorological Society), 28:7327-7346. doi:10.1175/JCLI-D-15-0185.1.
  29. Li, Z., G. Huang, J. Han, X. Wang, Y. Fan, G. Cheng, H. Zhang, and W. Huang (2015). Development of a Stepwise-Clustered Hydrological Inference Model. Journal of Hydrologic Engineering (American Society of Civil Engineers), 20(10):04015008. doi:10.1061/(ASCE)HE.1943-5584.0001165.
  30. Wang, X., G. Huang, Q. Lin, X. Nie, and J. Liu (2015). High-Resolution Temperature and Precipitation Projections over Ontario, Canada: A Coupled Dynamical-Statistical Approach. Quarterly Journal of the Royal Meteorological Society (Royal Meteorological Society), 141(689): 1137-1146. doi:10.1002/qj.2421.
  31. Fan, Y., W. Huang, G. Huang, Z. Li, Y. Li, X. Wang, G. Cheng, and L. Jin (2015). A Stepwise-Cluster Forecasting Approach for Monthly Streamflows Based on Climate Teleconnections. Stochastic Environmental Research and Risk Assessment (Springer), 29(6):1557-1569. doi:10.1007/s00477-015-1048-y.
  32. Wang, X., G. Huang, and J. Liu (2015). Projected Increases in Near-Surface Air Temperature over Ontario, Canada: A Regional Climate Modeling Approach. Climate Dynamics (Springer), 45(5-6):1381-1393. doi:10.1007/s00382-014-2387-y.
  33. Wang, X. and G. Huang (2015). Impacts Assessment of Air Emissions from Point Sources in Saskatchewan, Canada – A Spatial Analysis Approach. Environmental Progress & Sustainable Energy (American Institute of Chemical Engineers), 34:304-313. doi:10.1002/ep.11948.
  34. Wang, X., G. Huang, S. Zhao, and J. Guo (2015). An Open-Source Software Package for Multivariate Modeling and Clustering: Applications to Air Quality Management. Environmental Science and Pollution Research (Springer), 22(18):14220-14233. doi:10.1007/s11356-015-4664-7.
  35. Wang, X., G. Huang, Q. Lin, and J. Liu (2014). High-Resolution Probabilistic Projections of Temperature Changes over Ontario, Canada. Journal of Climate (American Meteorological Society), 27:5259-5284. doi:10.1175/JCLI-D-13-00717.1.
  36. Wang, X., G. Huang, and J. Liu (2014). Projected Increases in Intensity and Frequency of Rainfall Extremes Through a Regional Climate Modeling Approach. Journal of Geophysical Research: Atmospheres (American Geophysical Union), 119:13271-13286. doi:10.1002/2014JD022564.
  37. Wang, X. and G. Huang (2014). A Greenhouse Gas Baseline Emission Level Reporting System. International Journal of Performability Engineering (RAMS Consultants). 10(2): 230-234.
  38. Wang, X. and G. Huang (2014). Violation Analysis on Two-Step Method for Interval Linear Programming. Information Sciences (Elsevier), 281:85-96. doi:10.1016/j.ins.2014.05.019.
  39. Wang, X., G. Huang, Q. Lin, X. Nie, G. Cheng, Y. Fan, Z. Li, Y. Yao, and M. Suo (2013). A Stepwise Cluster Analysis Approach for Downscaled Climate Projection – A Canadian Case Study. Environmental Modelling & Software (Elsevier), 49:141-151. doi:10.1016/j.envsoft.2013.08.006.
  40. Jin, L., G. Huang, L. Wang, and X. Wang (2013). Robust Fully Fuzzy Programming with Fuzzy Set Ranking Method for Environmental Systems Planning Under Uncertainty. Environmental Engineering Science (Mary Ann Liebert Inc.), 30(6):280-293. doi:10.1089/ees.2012.0144.
  41. Wang, X., G. Huang, and Q. Lin (2012). An Interval Mixed-Integer Non-Linear Programming Model to Support Regional Electric Power Systems Planning with CO2 Capture and Storage under Uncertainty. Environmental Systems Research (Springer), 1(1):1-13. doi:10.1186/2193-2697-1-1.