Speaker Bio & Abstract

Xiaojiang Li Assistant Professor
Temple University

BiographyXiaojiang is a tenure-track assistant professor at Department of Geography and Urban Studies, Temple University. He was a Postdoctoral Fellow at MIT Senseable City Lab. His research focuses on developing and applying geospatial analyses and data-driven approaches in the domain of urban studies. He has proposed to use Google Street View for urban environmental studies and developed the Treepedia project, which aims to map street greenery for cities around the world. He is also working on using human trace data to study human activities and investigate the connection between urban environments and human activities. AbstractCities are experiencing more and more frequent extreme heat events in hot summers in the context of rising global temperatures and urban heat islands. A precise understanding of the spatial distribution of the outdoor heat exposure across neighborhoods in cities is of great importance for urban heat management. The extreme urban heat is not distributed evenly across neighborhoods of cities, and not all populations are impacted by the extreme heat equally. A fine level of quantitative information about where and which populations are vulnerable to heat is important to identify the most vulnerable neighborhoods and populations in order to mitigate the negative impacts of heat on urban residents. In this study, the mean radiant temperature (Tmrt) that represents the human bodys energy balance with consideration of shade, wind, humidity, was used to indicate human vulnerability to extreme heat. The SOlar and LongWave Environmental Irradiance Geometry (SOLWEIG) model was used to calculate and map the spatio-temporal distributions of the Tmrt based on the meteorological data and high-resolution 3D urban model generated from multispectral remotely sensed images and LiDAR data. This study proposed to use Graphics Processing Unit (GPU) parallel computing to accelerate the urban microclimate modeling and mapped the Tmrt for dozens of major cities in the US. Based on the generated Tmrt maps, this study further investigated the different vulnerability to extreme heat across different neighborhoods of socio-economic groups in different US cities. This study would provide an important reference for building equitable urban climate resilience in the future.