DOI: 10.1016/j.landurbplan.2017.04.009 Web URL(s): http://www.sciencedirect.com/science/article/pii/S0169204617300907 Publication Type:
i
Report Author(s): Zhang, Yujia ;
Murray, Alan T. ;
Turner, B. L. II Author Affiliation: Zhang: School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ; Murray: Department of Geography, University of California at Santa Barbara, Santa Barbara, CA; Turner: School of Geographical Sciences and Urban Planning, and School and Sustainability, Arizona State University, Tempe, AZ Title: Optimizing green space locations to reduce daytime and nighttime urban heat island effects in Phoenix, Arizona Source: Landscape and Urban Planning . Vol. 165, September 2017, p. 162-171.# of Pages: 10 Publishing Information: Amsterdam, The Netherlands: Elsevier Keywords: TIC Keywords: Climatic change ; Evaluations ; Greenspace ; Models ; Semiarid climates ; Surface temperature ; Urban heat island Abstract/Contents: "The urban heat island effect is especially significant in semi-arid climates, generating a myriad of problems for large urban areas. Green space can mitigate warming, providing cooling benefits important to reducing energy consumption and improving human health. The arrangement of green space to reap the full potential of cooling benefits is a challenge, especially considering the diurnal variations of urban heat island effects. Surprisingly, methods that support the strategic placement of green space in the context of urban heat island are lacking. Integrating geographic information systems, remote sensing, spatial statistics and spatial optimization, we developed a framework to identify the best locations and configuration of new green space with respect to cooling benefits. The developed multi-objective model is applied to evaluate the diurnal cooling trade-offs in Phoenix, Arizona. As a result of optimal green space placement, significant cooling potentials can be achieved. A reduction of land surface temperature of approximately 1-2°C locally and 0.5°C regionally can be achieved by the addition of new green space. 96% of potential day and night cooling benefits can be achieved through simultaneous consideration. The results also demonstrate that clustered green space enhances local cooling because of the agglomeration effect; whereas, dispersed patterns lead to greater overall regional cooling. The optimization based framework can effectively inform planning decisions with regard to green space allocation to best ameliorate excessive heat." Language: English References: 62 Note: Maps Geographic Terms: Phoenix, Arizona ASA/CSSA/SSSA Citation (Crop Science -Like - may be incomplete ): Landscape Urban Plan. 165:p. 162-171.Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=288252 If there are problems with this record, send us feedback about record 288252 . Choices for finding the above item : DOI: 10.1016/j.landurbplan.2017.04.009 Web URL(s): http://www.sciencedirect.com/science/article/pii/S0169204617300907 b2322641 Find from within TIC: Request through your local library's inter-library loan service (bring or send a copy of this TGIF record)
