http://projects.upei.ca/xanderwang/
T: 902-628-4343
Email: xxwang@upei.ca
Dr. Xander Wang is a Professor in the School of Climate Change and Adaptation at the University of Prince Edward Island (UPEI). Before joining UPEI, Dr. Wang worked as an Assistant Professor in the School of Geosciences at the University of Louisiana at Lafayette. Dr. Wang’s research is mainly focused on regional climate modeling, climate downscaling, hydrological modeling and flooding risk analysis, energy systems modeling under climate change, climate change impact assessment and adaptation studies, GIS, spatial modeling and analysis, big data analysis and visualization. Dr. Wang has a multidisciplinary background in climate science, environmental science and engineering, GIS and remote sensing, water resources, computer science, statistics, and data science. He is constantly looking for passionate graduate students and research scholars to work on the climate change challenges that we are facing now and will continue to face in the future. If you are interested, please feel free to contact Dr. Wang with a detailed CV and a brief introduction of your research interest.
Climate Change Report (CCR) Series
Latest Publications
- Title: Coastal urban flood risk management: Challenges and opportunities − A systematic review […]
- The following paper about the crop soil moisture estimation has been recently […]
- Title: Evaluating wind and solar complementarity in China: considering climate change and source-load […]
- Title: Projecting future changes in potato yield using machine learning techniques: a case […]
- Title: Wastewater flooding risk assessment for coastal Communities: Compound impacts of climate change […]
- The following paper about the quantification of carbon flux patterns in ecosystems […]
→ More Publications
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.
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.
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.
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.
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.
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.
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.
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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
News related to Dr Xander Wang
- Quantification of Carbon Flux Patterns in Ecosystems: A Case Study of Prince Edward Island
Climate Smart Lab Team including Sana Basheer, Prof. Xiuquan Wang, Dr. Quan Van Dau, Dr. Muhammad Awais, Dr. Pelin Kinay, Tianze Pang, and Muhammad Qasim Mahmood carried out a research on carbon flux for PEI ecosystems Read more… - Quantitative Assessment of The Group of Seven’s Collaboration in Sustainable Development Goals
A research team from the UPEI, including Dr. Liu Kai, Ali Raisolsadat, Dr. Xiuquan Wang and Dr. Quan Dau, carried out a study on the Quantitative Assessment of The Group of Seven’s Collaboration in Sustainable Read more… - Pluvial Flood Modeling for Coastal Areas Under Future Climate Change
Members of Climate Smart Lab, Dr. Quan Dau, Dr. Xiuquan Wang, Farhan Aziz, Rana Ali Nawaz, Tianze Pang, Muhammad Qasim Mahmood, and Maxim Fortin have recently published a study, “Pluvial flood modeling for coastal areas under future Read more… - Landcover-based Detection of Rapid Impacts of Extreme Storm on Coastal Landscape
Members of Climate Smart Lab, Tianze Pang, Xiuquan Wang, Sana Basheer, and Ryan Guild have recently published a study, “Landcover-based detection of rapid impacts of extreme storm on coastal landscape,” in “The Science of The Read more… - Evaluating the Sustainability of Groundwater Abstraction in Small Watersheds Using Time Series Analysis
Members of Climate Smart Lab, Muhammad Qasim Mahmood, Dr. Xander Wang, Farhan Aziz, and Tianze Pang have recently published a study, “Evaluating the sustainability of groundwater abstraction in small watersheds using time series analysis,” in Read more… - A Study on Assessing the Social Risks of Flooding for Coastal Societies in PEI
Members of Climate Smart Lab, Tianze Pang, Dr. Mohammad Aminur Rahman Shah, Dr. Quan Dau, and Dr. Xander Wang have recently published a study on assessing the social risks of flooding for coastal societies in Read more… - Climate Smart Lab Members Attended the CWRA 2024 Conference in Saskatoon
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The members of Climate Smart Lab, Tianze Pang (first author), Dr. Xander Wang (corresponding author), Sana Basheer, and Ryan Guild, have published a research paper in the well-known journal Science of the Total Environment entitled Read more… - Assessing social-ecological vulnerability and risk to coastal flooding
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Potato storage can help reduce food loss and waste while increasing long-term food security. Research on climate change impacts on potato storage was carried out by climate-smart lab team members, leading by Shu and his Read more… - Destination Management Organizations’ Roles in Sustainable Tourism in the Face of Climate Change: An Overview of Prince Edward Island
A new research on Destination Management Organizations’ Roles in Sustainable Tourism in the Face of Climate Change was recently published by Students at Climate Change Adaptation and members from Climate Smart Lab Abstract Globally, destination Read more… - New P.E.I. climate risk map predicts future coastal erosion and flooding
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Dr. Xiuquan (Xander) Wang, associate professor and director of the Climate Smart Lab at UPEI’s Canadian Centre for Climate Change and Adaptation, is the recipient of the E. Whitman Wright Award for Excellence in Information Read more… - CBC News: Bracing for climate change: How P.E.I. land management is evolving after Fiona
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Congratulations Assoc. Prof. Xiuquan Wang for being named the recipient of the 2022 CSCE Whitman Wright Award during the CSCE 2023 Conference held in Moncton from 24-27 May 2023. From us! Climate Smart Lab members - The British Commonwealth Air Training Program PEI has been recognized by the CSCE National Historic Site
Assoc. Prof. Xiuquan Wang, chair of the CSCE PEI Section, received a plaque for recognizing The British Commonwealth Air Training Program PEI as a National Historic Site in honouring Civil Engineering Works that have been Read more… - Official Launch of the PEI Section of the Canadian Society for Civil Engineering (CSCE)
On March 10th, 2023, the PEI Section of the Canadian Society for Civil Engineering (CSCE) has been officially launched by its inaugural executive committee in the Canadian Centre for Climate Change and Adaptation (CCCCA) at Read more… - Assessing Future Climate Change Impacts on PotatoYields—A Case Study for Prince Edward Island, Canada
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Ryan Guild, Dr. Xander Wang and other co-author have recently published a study on tracking deforestation, drought, and fire occurrence in Kutai National Park, Indonesia in the Remote Sensing journal. DOI https://doi.org/10.3390/rs14225630 Abstract The dry Read more… - Dr. Wang inducted as a member of the RSC College
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During the Annual General Meeting that took place in the Town of Cornwall, Prince Edward Island, on November 17, 2022, Dr. Xander Wang, Director of Climate Smart Lab, delivered a talk to the public. As Read more… - Why a UPEI researcher says Islanders should prepare for more frequent extreme weather
A UPEI researcher says although data collected during post-tropical storm Fiona suggests extreme weather is becoming more common, long-term data is needed to get a more accurate picture of weather patterns and the impact of Read more… - Using Satellite Imagery and Machine Learning Techniques to Classify LULC
A research team (Sana Basheer, Dr. Xander Wang, Aitazaz A Farooque, Rana Ali Nawaz, Kai Liu, Toyin Adekanmbi, and Suqi Liu) recently published a study on Land Use Land Cover change (LULC) using Satellite imagery Read more… - Acting Interim Associate Dean of SCCA
Announcement ! Acting Interim Associate Dean of SCCA September 21st – October 8th , 2022 Please be advised that Dr. Aitazaz A. Farooque will not be available from September 21 through October 8, 2022. Dr. Read more… - Dr. Wang named to the Royal Society of Canada College of New Scholars
Dr. Xander Wang, an associate professor in the UPEI School of Climate Change and Adaptation, has been named a member of the Royal Society of Canada (RSC) College of New Scholars. Wang is one Read more… - PEOPLE 2022 -A hybrid International Conference in Charlottetown, PEI
PEOPLE 2022 – A Hybrid International Conference on Persistent, Emerging, and Organic Pollution in the Environment – Challenges and Solutions under Climate Change was held on August 23–26, 2022 in Charlottetown, PEI. This is an Read more… - Dr. Xander Wang gave an overview of the undergraduate program.
On June 10, 2022 at the Canadian Centre for Climate Change and Adaptation (CCCCA), Dr. Xander Wang presented to undergraduate students about the courses that will be offered at the School of Climate Change and Read more… - Climate Smart Lab team presented and volunteered at CSBE-CSGAB conference
The Climate Smart Lab team presented and volunteered at the Canadian Society for Bioengineering 2022 Annual General Meeting, held July 24-27, 2022 in Charlottetown, PEI. Dr. Xander Wang served as committee member and technical chair Read more… - Mitigation of greenhouse gas emissions from agricultural fields through bioresource management
Dr. Xander Wang and his research team have recently published a study on the mitigation of greenhouse gas emissions from agricultural fields through bioresource management. This study is very important in reducing the emissions from Read more… - Dr Wang received Merit Award for Scholarly Achievement
Dr. Xander Wang, director of the Climate Smart Lab from the School of Climate Change and Adaptation, Faculty of Science, University of Prince Edward Island, has been nominated as one of four excellent academics to Read more… - Dr Xander and his research team has been recently published a study on flood risk management
Journal: Remote Sensing DOI: https://doi.org/10.3390/rs14092138 Abstract: One-dimensional (1D) hydraulic models have been extensively used to conduct flood simulations for investigating flood depth and extent maps. However, the 1D models cannot simulate many other flood characteristics, such as flood Read more… - UPEI researchers seek to identify climate-resilient and wart-resistant potato varieties on PEIA multidisciplinary team at the University of Prince Edward Island made up of experts in climate change, gene sequencing, agriculture diseases, and precision agriculture has received $20,000 in funding from Genome Atlantic for a research project titled Read more…