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On the effects of landscape configuration on summer diurnal temperatures in urban residential areas: application in Phoenix, AZ

Abstract

The impacts of land-cover composition on urban temperatures, including temperature extremes, are well documented. Much less attention has been devoted to the consequences of land-cover configuration, most of which addresses land surface temperatures. This study explores the role of both composition and configuration—or land system architecture—of residential neighborhoods in the Phoenix metropolitan area, on near-surface air temperature. It addresses two-dimensional, spatial attributes of buildings, impervious surfaces, bare soil/rock, vegetation and the “urbanscape” at large, from 50 m to 550 m at 100 m increments, for a representative 30-day high sun period. Linear mixed-effects models evaluate the significance of land system architecture metrics at different spatial aggregation levels. The results indicate that, controlling for land-cover composition and geographical variables, land-cover configuration, specifically the fractal dimension of buildings, is significantly associated with near-surface temperatures. In addition, statistically significant predictors related to composition and configuration appear to depend on the adopted level of spatial aggregation.

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References

  • Akbari H, Matthews H D (2012). Global cooling updates: reflective roofs and pavements. Energy Build, 55: 2–6

    Google Scholar 

  • Akbari H, Pomerantz M, Taha H (2001). Cool surfaces and shade trees to reduce energy use and improve air quality in urban areas. Sol Energy, 70(3): 295–310

    Google Scholar 

  • Baker L A, Brazel A J, Selover N, Martin C, McIntyre N, Steiner F R, Nelson A, Musacchio L (2002). Urbanization and warming of Phoenix (Arizona, USA): impacts, feedbacks and mitigation. Urban Ecosyst, 6(3): 183–203

    Google Scholar 

  • Bowler D E, Buyung-Ali L, Knight T M, Pullin A S (2010). Urban greening to cool towns and cities: a systematic review of the empirical evidence. Landsc Urban Plan, 97(3): 147–155

    Google Scholar 

  • Brazel A, Gober P, Lee S J, Grossman-Clarke S, Zehnder J, Hedquist B, Comparri E (2007). Determinants of changes in the regional urban heat island in metropolitan Phoenix (Arizona, USA) between 1990 and 2004. Clim Res, 33(2): 171–182

    Google Scholar 

  • Brazel A, Selover N, Vose R, Heisler G (2000). The tale of two climates—Baltimore and Phoenix urban LTER sites. Clim Res, 15 (2): 123–135

    Google Scholar 

  • Cao X, Onishi A, Chen J, Imura H (2010). Quantifying the cool island intensity of urban parks using ASTER and IKONOS data. Landsc Urban Plan, 96(4): 224–231

    Google Scholar 

  • Cermak V, Bodri L, Kresl M, Dedecek P, Safanda J (2017). Eleven years of ground-air temperature tracking over different land cover types. Int J Climatol, 37(2): 1084–1099

    Google Scholar 

  • Chow W T L, Brazel A (2012). Assessing xeriscaping as a sustainable heat island mitigation approach for a desert city. Build Environ, 47: 170–181

    Google Scholar 

  • Chow WT L, Brennan D, Brazel A (2012). Urban heat island research in Phoenix, Arizona: theoretical contributions and policy applications. Bull Am Meteorol Soc, 93(4): 517–530

    Google Scholar 

  • Chow W T L, Pope R L, Martin C A, Brazel A (2011). Observing and modeling the nocturnal park cool island of an arid city: horizontal and vertical impacts. Theor Appl Climatol, 103(1–2): 197–211

    Google Scholar 

  • Chow W T L, Svoma B M (2011). Analyses of nocturnal temperature cooling-rate response to historical local-scale urban land-use/land cover change. J Appl Meteorol Climatol, 50(9): 1872–1883

    Google Scholar 

  • Chow W T L, Volo T J, Vivoni E R, Jenerette D G, Ruddell B L (2014). Seasonal dynamics of a suburban energy balance in Phoenix, Arizona. Int J Climatol, 34(15): 3863–3880

    Google Scholar 

  • Connors J P, Galletti C S, Chow W T (2013). Landscape configuration and urban heat island effects: assessing the relationship between landscape characteristics and land surface temperature in Phoenix, Arizona. Landsc Ecol, 28(2): 271–283

    Google Scholar 

  • Declet-Barreto J, Brazel A, Martin C A, Chow W T, Harlan S L (2013). Creating the park cool island in an inner-city neighborhood: heat mitigation strategy for Phoenix, AZ. Urban Ecosyst, 16(3): 617–635

    Google Scholar 

  • Faeth S H, Bang C, Saari S (2011). Urban biodiversity: patterns and mechanisms. Ann N Y Acad Sci, 1223(1): 69–81

    Google Scholar 

  • Fast J D, Torcolini J C, Redman R (2005). Pseudovertical temperature profiles and the urban heat island measured by a temperature datalogger network in Phoenix, Arizona. J Appl Meteorol, 44(1): 3–13

    Google Scholar 

  • Forman R T T (1990). Ecologically sustainable landscapes: the role of spatial configuration. In: Forman R T T, Zonnelfeld I S, eds. Changing Landscapes: An Ecological Perspective. New York: Springer, 261–278

    Google Scholar 

  • Georgescu M, Morefield P E, Bierwagen B G, Weaver C P (2014). Urban adaptation can roll back warming of emerging megapolitan regions. Proc Natl Acad Sci USA, 111(8): 2909–2914

    Google Scholar 

  • Georgescu M, Moustaoui M, Mahalov A, Dudhia J (2011). An alternative explanation of the semiarid urban area “oasis effect”. J Geophys Res, 116(D24): D24113

    Google Scholar 

  • Gill S E, Handley J F, Ennos A R, Pauleit S (2007). Adapting cities for climate change: the role of the green infrastructure. Built Environ, 33 (1): 115–133

    Google Scholar 

  • Gober P, Kirkwood C W, Balling R C, Ellis A W, Deitrick S (2010). Water planning under climatic uncertainty in Phoenix: Why we need a new paradigm? Ann Assoc Am Geogr, 100(2): 356–372

    Google Scholar 

  • Grimmond C S B, Blackett M, Best M J, Baik J J, Belcher S E, Beringer J, Bohnenstengel S I, Calmet I, Chen F, Coutts A, Dandou A, Fortuniak K, Gouvea M L, Hamdi R, Hendry M, Kanda M, Kawai T, Kawamoto Y, Kondo H, Krayenhoff E S, Lee S H, Loridan T, Martilli A, Masson V, Miao S, Oleson K, Ooka R, Pigeon G, Porson A, Ryu Y H, Salamanca F, Steeneveld G J, Tombrou M, Voogt J A, Young D T, Zhang N (2011). Initial results from Phase 2 of the international urban energy balance model comparison. Int J Climatol, 31(2): 244–272

    Google Scholar 

  • Grimmond S (2007). Urbanization and global environmental change: local effects of urban warming. Geogr J, 173(1): 83–88

    Google Scholar 

  • Grossman-Clarke S, Zehnder J A, Loridan T L, Grimmond S B (2010). Contribution of land uses changes to near-surface air temperature during recent summer extreme heat events in the Phoenix metropolitan area. American Meteorological Society, 49(8): 1649–1664

    Google Scholar 

  • Guhathakurta S, Gober P (2010). Residential land use, the urban heat island, and water use in Phoenix: a path analysis. J Plann Educ Res, 30(1): 40–51

    Google Scholar 

  • Harlan S, Brazel A, Prashad L, Stefanov W L, Larsen L (2006). Neighborhood microclimates and vulnerability to heat stress. Soc Sci Med, 63(11): 2847–2863

    Google Scholar 

  • Hondula D M, Vanos J K, Gosling S N (2013). The SSC: a decade of climate–health research and future directions. Int J Biometeorol, 58 (2): 1–12

    Google Scholar 

  • Huang G, Cadenasso M L (2016). People, landscape, and urban heat island: dynamics among neighborhood social conditions, land cover and surface temperatures. Landsc Ecol, 31(10): 2507–2515

    Google Scholar 

  • Jacobson M Z, Ten Hoeve J E (2012). Effects of urban surface and white roofs on global and regional climate. J Clim, 25(3): 1028–1044

    Google Scholar 

  • James G, Witten D, Hastie T, Tibshirani R (2013). An Introduction to Statistical Learning. New York: Springer

    Google Scholar 

  • Jenerette G D, Harlan S, Buyantuev A, Stefanov W L, Declet-Barreto J, Ruddell B L, Myint S, Kaplan S, Li X (2016). Micro-scale urban surface temperatures are related to land-cover features and residential heat related health impacts in Phoenix, AZ USA. Landsc Ecol, 31(4): 745–760

    Google Scholar 

  • Jenerette G D, Harlan S, Stefanov W L, Martin C A (2011). Ecosystem services and urban heat riskscape moderation: water, green spaces, and social inequality in Phoenix, USA. Ecol Appl, 21(7): 2637–2651

    Google Scholar 

  • Krüger E L, Minella F O, Rasia F (2011). Impact of urban geometry on outdoor thermal comfort and air quality from field measurements in Curitiba, Brazil. Build Environ, 46(3): 621–634

    Google Scholar 

  • Kusaka H, Hara M, Takane Y (2012). Urban climate projection by the WRF Model at 3-km horizontal grid increment: dynamical downscaling and predicting heat stress in the 2070s August for Tokyo, Osaka, and Nagoya, metropolises. J Meteorol Soc Jpn, 90B(0): 47–63

    Google Scholar 

  • Li J, Song C, Cao L, Zhu F, Meng X, Wu J (2011). Impacts of landscape structure on surface urban heat islands: a case study of Shanghai, China. Remote Sens Environ, 115(12): 3249–3263

    Google Scholar 

  • Li X, Kamarianakis Y, Ouyang Y, Turner B L II, Brazel A (2017). On the association between land system architecture and land surface temperatures: evidence from a desert metropolis—Phoenix, Arizona, U.S.A. Landsc Urban Plan, 163: 107–120

    Google Scholar 

  • Li X, Li W, Middel A, Harlan S L, Brazel A, Turner B L II (2016). Remote sensing of the surface urban heat island and land architecture in Phoenix, Arizona: combined effects of land composition and configuration and cadastral-demographic-economic factors. Remote Sens Environ, 174: 233–243

    Google Scholar 

  • Li X, Myint S, Zhang Y, Galletti C, Zhang X, Turner B L II (2014). Object-based land-cover classification for metropolitan Phoenix, Arizona, using aerial photography. Int J Appl Earth Obs Geoinf, 33: 321–330

    Google Scholar 

  • Li X, Zhou W, Ouyang Z, Xu W, Zheng H (2012). Spatial pattern of greenspace affects land surface temperature: evidence from the heavily urbanized Beijing metropolitan area China. Landsc Ecol, 27 (6): 887–898

    Google Scholar 

  • Lindén J (2011). Nocturnal cool island in the Sahelian city of Ouagadougou, Burkina Faso. Int J Climatol, 31(4): 605–620

    Google Scholar 

  • Loridan T, Lindberg F, Jorba O, Kotthaus S, Grossman-Clarke S, Grimmond C S B (2013). High resolution simulation of the variability of surface energy balance fluxes across Central London with urban zones for energy partitioning. Boundary-Layer Meteorol, 147(3): 493–523

    Google Scholar 

  • Maimaitiyiming M, Ghulam A, Tiyip T, Pla F, Latorre-Carmona P, Halik Ü, Sawut M, Caetano M (2014). Effects of green space spatial pattern on land surface temperature: implications for sustainable urban planning and climate change adaptation. ISPRS J Photogramm Remote Sens, 89: 59–66

    Google Scholar 

  • McGarigal K, Cushman S A, Ene E (2012). FRAGSTATS v4: Spatial Pattern Analysis Program for Categorical and Continuous Maps. University of Massachusetts, Amherst, MA

    Google Scholar 

  • Middel A, Brazel A, Kaplan S, Myint S (2012). Daytime cooling efficiency and diurnal energy balance in Phoenix, Arizona, USA. Clim Res, 54(1): 21–34

    Google Scholar 

  • Middel A, Häb K, Brazel A J, Martin C A, Guhathakurta S (2014). Impact of urban form and design on mid-afternoon microclimate in Phoenix Local Climate Zones. Landsc Urban Plan, 122: 16–28

    Google Scholar 

  • Myint S W, Zheng B, Talen E, Fan C, Kaplan S, Middel A, Smith M, Huang H P, Brazel A (2015). Does the spatial arrangement of urban landscape matter? Examples of urban warming and cooling in Phoenix and Las Vegas. Ecosyst Health Sustain, 1(4): 1–15

    Google Scholar 

  • Myint S, Brazel A, Okin G, Buyantuyev A (2010). Combined effects of impervious surface and vegetation cover on air temperature variations in a rapidly expanding desert city. GIsci Remote Sens, 47(3): 301–320

    Google Scholar 

  • Myint S, Wentz E A, Brazel A, Quattrochi D A (2013). The impact of distinct anthropogenic and vegetation features on urban warming. Landsc Ecol, 28(5): 959–978

    Google Scholar 

  • Nichol J E, Fung W Y, Lam K, Wong M S (2009). Urban heat island diagnosis using ASTER satellite images and ‘in situ’ air temperature. Atmos Res, 94(2): 276–284

    Google Scholar 

  • Oke T R (2006). Initial guidance to obtain representative meteorological observations at urban sites. In: IOM Report No. 81. WMO/TD No. 1250. Geneva: World Meteorological Organization

    Google Scholar 

  • Pinheiro J C, Bates D M (2009). Mixed Effects Models in S and S-plus. New York: Springer

    Google Scholar 

  • Song J, Wang Z H, Myint S W, Wang C (2017). The hysteresis effect on surface-air temperature relationship and its implications to urban planning: an examination in Phoenix, Arizona, USA. Landsc Urban Plan, 167: 198–211

    Google Scholar 

  • Stewart I D, Oke T R (2012). Local climate zones for urban temperature studies. Bull Am Meteorol Soc, 93(12): 1879–1900

    Google Scholar 

  • Stewart I D, Oke T R, Krayenhoff E S (2014). Evaluation of the ‘local climate zone’ scheme using temperature observations and model simulations. Int J Climatol, 34(4): 1062–1080

    Google Scholar 

  • Stewart J Q, Whiteman C D, Steenburgh W J, Bian X (2002). A climatological study of thermally driven wind systems of the U. S. intermountain west. Bull Am Meteorol Soc, 83(5): 699–708

    Google Scholar 

  • Stoll M J, Brazel A J (1992). Surface-air temperature relationships in the urban environment of Phoenix, Arizona. Phys Geogr, 13(2): 160–179

    Google Scholar 

  • Stone B Jr, Rodgers M O (2001). Urban form and thermal efficiency: how the design of cities influences the urban heat island effect. J Am Plann Assoc, 67(2): 186–198

    Google Scholar 

  • Turner B L II (2016). Land system architecture for urban sustainability: new directions for land system science illustrated by application to the urban heat island problem. J Land Use Sci, 11(6): 689–697

    Google Scholar 

  • Turner B L II, Janetos A C, Verburg P H, Murray A T (2013). Land system architecture: using land systems to adapt and mitigate global environmental change. Glob Environ Change, 23(2): 395–397

    Google Scholar 

  • Voogt J A, Oke T R (2003). Thermal remote sensing of urban climates. Remote Sens Environ, 86(3): 370–384

    Google Scholar 

  • Wang Y, Akbari H (2016). Analysis of urban heat island phenomenon and mitigation solutions evaluations for Montreal. Sustainable Cities and Society, 26: 438–446

    Google Scholar 

  • Wentz E A, Stefanov W L, Gries C, Hope D (2006). Land use and land cover mapping from diverse data sources for an arid urban environments. Comput Environ Urban Syst, 30(3): 320–346

    Google Scholar 

  • Wong N H, Yu C (2005). Study of green areas and urban heat island in a tropical city. Habitat Int, 29(3): 547–558

    Google Scholar 

  • Xiao R, Ouyang Z, Zheng H, Li W, Schienke E W, Wang X (2007). Spatial pattern of impervious surfaces and their impacts on land surface temperature in Beijing, China. J Environ Sci (China), 19(2): 250–256

    Google Scholar 

  • Yang F, Lau S Y, Qian F (2011). Urban design to lower summertime outdoor temperatures: an empirical study on high-rise housing in Shanghai. Build Environ, 46(3): 769–785

    Google Scholar 

  • Zhang Y, Murray A, Turner B L II (2017). Optimizing green space locations to reduce daytime and nighttime urban heat island effects in Phoenix, Arizona. Landsc Urban Plan, 165: 162–171

    Google Scholar 

  • Zhou W, Huang G, Cadenasso M L (2011). Does spatial configuration matter? Understanding the effects of land cover pattern on land surface temperature in urban landscapes. Landsc Urban Plan, 102(1): 54–63

    Google Scholar 

  • Zuur A, Ieno E N, Walker N, Savaliev A A, Smith G M (2009). Mixed Effects Models and Extensions in Ecology with R. New York: Springer

    Google Scholar 

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Acknowledgements

The Environmental Remote Sensing and Geoinformatics Labratory of the School of Geographic Science and Urban Planning provided the land-cover data. The National Science Foundation (NSF) Grant No. BCS-1026865, Central Arizona–Phoenix Long-Term Ecological Research (CAP LTER), NSF Grant No. SES-0951366, Decision Center for a Desert City II, NSF-DNS Grant No. 1419593, and USDA NIFA Grant No. 2015-67003-23508 provided support. In addition to the aforementioned organizations, we would like to thank the three anonymous reviewers and the editor for their insightful comments and suggestions.

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Correspondence to Yiannis Kamarianakis.

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Yiannis KAMARIANAKIS received a PhD in mathematical economics and finance at the University of Crete, Greece in 2007, and a M.Sc. in Statistics and B.Sc. in Mathematics, respectively, at Athens University of Economics and Business, Athens in 2000 and University of Crete, Greece in 1998. He is an assistant professor at School of Mathematical and Statistical Sciences, Arizona State University (ASU). Before joining ASU he worked as a postdoctoral researcher at IBM Research and Cornell University. He is the author of more than 50 publications relating to applied statistical modeling, with an emphasis on environmental applications.

Xiaoxiao LI received a PhD in forestry and natural resources at Purdue University, Indiana in 2011, and a MA and BA, respectively, at Clark University, Massachusetts in 2005 and Zhejiang University, China in 2005. She is a research analyst working at School of Geographical Sciences and Urban Planning and Global Institute of Sustainability, Arizona State University. She works on multiple resolution land-cover and land-use classifications for the Central Arizona-Phoenix Long-term Ecological Research program and examines impact of fine-resolution land system architecture on urban sustainability, foremost the urban heat island effect.

B. L. TURNER II received a PhD in geography at the University of Wisconsin, Madison in 1974, and a MA and BA in geography in 1968 and 1969, respectively, at the University of Texas at Austin. He is the Gilbert F. White Professor of Environment and Society and Regent’s Professor, School of Geographical Sciences and Urban Planning and School of Sustainability, Arizona State University. He is the author of more than 200 publications dealing with humanenvironment relationships, ranging from ancient Maya agriculture and environment in Mexico and Central America to contemporary global land-use change and sustainability science. Dr. Turner is member of the U.S. National Academy of Sciences and American Academy of Arts of Sciences, and serves as Associate Editor, Proceedings of the National Academy of Sciences, and on numerous national and international panels and committees addressing land change and sustainability science.

Anthony J. BRAZEL received a PhD in geography at the University of Michigan in 1972 and an MA in geography (1965) and BA in Mathematics (1963), respectively, at Rutgers University. He is an Emeritus Professor in the School of Geographical Sciences & Urban Planning at Arizona State University. He served as governorappointed State Climatologist for Arizona for 20 years and was elected Fellow of the American Association for the Advancement of Science for his early career research on ice and snow processes in high mountains. He is the recipient of the Climate Specialty Group Lifetime Achievement Award of the American Association of Geographers; The Helmut E. Landsberg Award on urban environments from the American Meteorological Society; the Luke Howard Award from the International Association on Urban Climate; and the Jeffrey Cook Prize in Desert Architecture for urban climate research from the J. Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev. Dr. Brazel has authored more than 200 publications on topics related to physical geography and boundary layer climate, ice and snow processes, and desert urban climatology.

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Kamarianakis, Y., Li, X., Turner, B.L. et al. On the effects of landscape configuration on summer diurnal temperatures in urban residential areas: application in Phoenix, AZ. Front. Earth Sci. 13, 445–463 (2019). https://doi.org/10.1007/s11707-017-0678-4

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Keywords

  • land system architecture
  • urban heat island effect
  • linear mixed-effects models
  • near-surface air temperature
  • land-cover configuration