Dr. Wang’s Research is Featured in Scientia

The leading science communication publication, Scientia, has recently published an outreach article entitled “Adapting to Climate Change Using Regional Models” to report Dr. Xander Wang’s world-leading research in climate change modeling and adaptation.

This article can be accessed via:

HTML: https://www.scientia.global/dr-xander-wang-adapting-to-climate-change-using-regional-models/

PDF: https://www.scientia.global/wp-content/uploads/Xander_Wang/Xander_Wang.pdf

DOI: https://doi.org/10.33548/SCIENTIA774

Twitter: https://twitter.com/scientia_social/status/1481593402248605699

The Scientia will publish a full edition featuring this outreach article at a later date, followed by an audiobook. More details will be posted once the full edition is published.

A Special Issue Edited by Dr. Xander Wang is Published with Mathematical Problems in Engineering

A special issue on “Environmental Systems Modelling and Analysis Under Changing Conditions” has been recently published in the journal of Mathematical Problems in Engineering. Dr. Xander Wang is the lead guest editor of this special issue.

The articles included in this special issue are available at:
https://www.hindawi.com/journals/mpe/si/725215/

The editorial for this special issue is available at: https://www.hindawi.com/journals/mpe/2021/9780860/

Paper Published in Water

Title: Highwater Mark Collection after Post Tropical Storm Dorian and Implications for Prince Edward Island, Canada

Journal: Water

DOI: https://doi.org/10.3390/w13223201

Abstract: Prince Edward Island (PEI), Canada has been experiencing the consequences of a rising sea level and intense storms on its coasts in recent years. The most recent severe event, Post Tropical Storm Dorian (Dorian), began impacting Prince Edward Island on 7 September 2019 and lasted for over 20 h until the morning of 8 September 2019. The measurement of highwater marks (HWM) from the storm was conducted between 25 September and 25 October 2019 using a high precision, survey grade methodology. The HWM measured included vegetation lines, wrack lines, beach, cliff, and dune morphological features, and tide gauge data at 53 locations in the Province along coastal areas that are exposed to high tides, storm surge, high winds, and wave runup. Photos were taken to provide evidence on the nature of the HWM data locations. The data reveal that Dorian caused extensive coastal floods in many areas along the North and South Coast of Prince, Queens and Western Kings Counties of Prince Edward Island. The floods reached elevations in excess of 3.4 m at some locations, posing threats to local infrastructure and causing damage to natural features such as sand dunes in these areas. The HWM data can provide useful information for community and emergency response organizations as plans are developed to cope with the rising sea level and increased frequency of highwater events as predicted by researchers. As Dorian has caused significant damage in several coastal areas in PEI, better planning using an enhanced storm forecasting and coastal flood warning system, in conjunction with flood stage values, could possibly have reduced the impacts of the storm in the impacted areas. This could help enhance public understanding of the potential impacts in local areas and how they can prepare and adapt for these events in the future.

Paper Accepted by Water

The following paper about the impacts of the post-tropical storm Dorian on Prince Edward Island has been accepted for publication by Water.

Jardine, D., X. Wang, and A. Fenech. Highwater Mark Collection after Post Tropical Storm Dorian and Implications for Prince Edward Island, Canada. Water, accepted on November 8, 2021.

More details will come soon once the paper is published.

Paper Accepted by Journal of Water and Climate Change

The following paper about future temperature projections for Canada has been accepted for publication by the Journal of Water and Climate Change.

Song, T., G. Huang, G. Wang, Y. Li, X. Wang, C. Lu, and Z. Shen. Bayesian model averaging of the RegCM temperature projections: a Canadian case study. Journal of Water and Climate Change, accepted on October 9, 2021.

More details will come soon once the paper is published.