Professor Qiafeng (Robin) Zhang is our #RacerScholar this week.
Dr. Zhang collaborated on the article, “Alternative future analysis for assessing the potential impact of climate change on urban landscape dynamics,” which appeared in the November 2015 volume of Science of the Total Environment.
Assessing the impact of climate change on urban landscape dynamics (ULD) is the foundation for adapting to climate change and maintaining urban landscape sustainability. This paper demonstrates an alternative future analysis by coupling a system dynamics (SD) and a cellular automata (CA) model. The potential impact of different climate change scenarios on ULD from 2009 to 2030 was simulated and evaluated in the Beijing-Tianjin-Tangshan megalopolis cluster area (BTT-MCA). The results suggested that the integrated model, which combines the advantages of the SD and CA model, has the strengths of spatial quantification and flexibility. Meanwhile, the results showed that the influence of climate change would become more severe over time. In 2030, the potential urban area affected by climate change will be 343.60-1260.66 km(2) (5.55 -20.37 % of the total urban area, projected by the no-climate-change-effect scenario). Therefore, the effects of climate change should not be neglected when designing and managing urban landscape. (C) 2015 Elsevier B.V. All rights reserved.
Alternative future analysis for assessing the potential impact of climate change on urban landscape dynamics
By: Chunyang He, Yuanyuan Zhao, Qinxu Huang, Qiaofeng Zhang, and Da Zhang
Science of the Total Environment,
Nov. 1 2015, vol. 532, pgs. 48-60