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The influence of urban spatial pattern on land surface temperature for different functional zones

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Abstract

Urban functional zone (UFZ) comprises the basic unit of urban planning, with various production activities. Understanding the landscape heterogeneity in UFZs may be a way to mitigate urban heat island (UHI). The region within fifth ring road in Beijing is selected as the study area. Six common UFZ types were selected to understand the effects of three types of factors (surface biophysical parameters, building form, and landscape metrics) on land surface temperature (LST). A one-way analysis of variance and geographical detector were used to express spatial heterogeneity and key influencing factors of LST in UFZ, respectively. The results indicate the following: (1) the UFZ types, in order from highest to lowest LST, are industrial, commercial, public service, government, high-density residential, and recreational zones. The LST of industrial and recreational zones are significantly different from other zones, but other four types of UFZ exhibited similar thermal conditions. (2) The key influencing factors of LST in UFZs differ. Surface biophysical parameters have a significant effect on all UFZs. Building form in areas of high building height and density, such as commercial and high-density residential zones, should be the focus of UHI mitigation, whereas optimizing land cover composition and spatial configuration in other UFZs is more likely to alleviate LST. In addition, the LST is determined not only by the UFZ type and internal structure, but also by the complexity and diversity. Identifying UHI mitigation sensitivity metrics within UFZ will help improve the thermal environment of urban areas and provide strategies for resisting UHI.

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References

  • Alobaydi D, Bakarman MA, Obeidat B (2016) The impact of urban form configuration on the urban heat island: the case study of Baghdad, Iraq. Proc Eng 145:820–827

    Article  Google Scholar 

  • Artis DA, Carnahan WH (1982) Survey of emissivity variability in thermography of urban areas. Remote Sens Environ 12:313–329

    Article  Google Scholar 

  • Asgarian A, Amiri BJ, Sakieh Y (2015) Assessing the effect of green cover spatial patterns on urban land surface temperature using landscape metrics approach. Urban Ecosyst 18:209–222

    Article  Google Scholar 

  • Chander G, Groeneveld DP (2009) Intra-annual NDVI validation of the Landsat 5 TM radiometric calibration. Int J Remote Sens 30:1621–1628

    Article  Google Scholar 

  • Chen A, Yao L, Sun R, Chen L (2014a) How many metrics are required to identify the effects of the landscape pattern on land surface temperature? Ecol Ind 45:424–433

    Article  Google Scholar 

  • Chen A, Yao XA, Sun R, Chen L (2014b) Effect of urban green patterns on surface urban cool islands and its seasonal variations. Urban For Urban Green 13:646–654

    Article  Google Scholar 

  • Chen A, Zhao X, Yao L, Chen L (2016) Application of a new integrated landscape index to predict potential urban heat islands. Ecol Ind 69:828–835

    Article  Google Scholar 

  • Chun B, Guldmann J-M (2014) Spatial statistical analysis and simulation of the urban heat island in high-density central cities. Landsc Urban Plan 125:76–88

    Article  Google Scholar 

  • Colunga ML, Cambron-Sandoval VH, Suzan-Azpiri H, Guevara-Escobar A, Luna-Soria H (2015) The role of urban vegetation in temperature and heat island effects in Querétaro city, Mexico. Atmósfera 28:205–218

    Article  Google Scholar 

  • Connors JP, Galletti CS, Chow WT (2013) Landscape configuration and urban heat island effects: assessing the relationship between landscape characteristics and land surface temperature in Phoenix, Arizona. Landscape Ecol 28:271–283

    Article  Google Scholar 

  • Dario A, Giorgio G, Biagio M, Iole N, Stefano S (2014) Evaluating mitigation effects of urban heat islands in a historical small center with the ENVI-Met? Climate model. Sustainability 6:7013–7029

    Article  Google Scholar 

  • Estoque RC, Murayama Y, Myint SW (2016) Effects of landscape composition and pattern on land surface temperature: an urban heat island study in the megacities of Southeast Asia. Sci Total Environ 577:349–359

    Article  PubMed  CAS  Google Scholar 

  • Gage EA, Cooper DJ (2017) Relationships between landscape pattern metrics, vertical structure and surface urban Heat Island formation in a Colorado suburb. Urban Ecosyst 20:1–10

    Article  Google Scholar 

  • Giridharan R, Lau SSY, Ganesan S (2005) Nocturnal heat island effect in urban residential developments of Hong Kong. Energy Build 37:964–971

    Article  Google Scholar 

  • Gunawardena KR, Wells MJ, Kershaw T (2017) Utilising green and bluespace to mitigate urban heat island intensity. Sci Total Environ 584:1040–1055

    Article  PubMed  CAS  Google Scholar 

  • Guo G, Wu Z, Xiao R, Chen Y, Liu X, Zhang X (2015) Impacts of urban biophysical composition on land surface temperature in urban heat island clusters. Landsc Urban Plan 135:1–10

    Article  Google Scholar 

  • Guo G, Zhou X, Wu Z, Xiao R, Chen Y (2016) Characterizing the impact of urban morphology heterogeneity on land surface temperature in Guangzhou, China. Environ Model Softw 84:427–439

    Article  Google Scholar 

  • Gustafson EJ (1998) Quantifying landscape spatial pattern: what is the state of the art? Ecosystems 1:143–156

    Article  Google Scholar 

  • Huang G, Zhou W, Cadenasso ML (2011) Is everyone hot in the city? Spatial pattern of land surface temperatures, land cover and neighborhood socioeconomic characteristics in Baltimore, MD. J Environ Manag 92:1753–1759

    Article  Google Scholar 

  • Kato S, Yamaguchi Y (2005) Analysis of urban heat-island effect using ASTER and ETM+ Data: separation of anthropogenic heat discharge and natural heat radiation from sensible heat flux. Remote Sens Environ 99:44–54

    Article  Google Scholar 

  • Kim JH, Gu D, Sohn W, Kil SH, Kim H, Lee DK (2016) Neighborhood landscape spatial patterns and land surface temperature: an empirical study on single-family residential areas in Austin, Texas. Int J Environ Res Public Health 13:880–895

    Article  PubMed Central  Google Scholar 

  • Kong F, Yin H, James P, Hutyra LR, He HS (2014) Effects of spatial pattern of greenspace on urban cooling in a large metropolitan area of eastern China. Landsc Urban Plan 128:35–47

    Article  Google Scholar 

  • Kuang W, Liu Y, Dou Y, Chi W, Chen G, Gao C, Yang T, Liu J, Zhang R (2015) What are hot and what are not in an urban landscape: quantifying and explaining the land surface temperature pattern in Beijing, China. Landsc Ecol 30:357–373

    Article  Google Scholar 

  • Lan Y, Zhan Q (2017) How do urban buildings impact summer air temperature? The effects of building configurations in space and time. Build Environ 125:88–98

    Article  Google Scholar 

  • Li C, Shang J, Cao Y (2010) Discussion on energy-saving taking urban heat island effect into account. In: International conference on power system technology, Hangzhou, China, pp 1–3

  • 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 115:3249–3263

    Article  Google Scholar 

  • Li X, Zhou W, Ouyang Z (2013) Relationship between land surface temperature and spatial pattern of greenspace: what are the effects of spatial resolution? Landsc Urban Plan 114:1–8

    Article  Google Scholar 

  • Li W, Cao Q, Lang K, Wu J (2017) Linking potential heat source and sink to urban heat island: heterogeneous effects of landscape pattern on land surface temperature. Sci Total Environ 586:457–465

    Article  CAS  PubMed  Google Scholar 

  • Liang P, Yang X (2016) Landscape spatial patterns in the Maowusu (Mu Us) Sandy Land, northern China and their impact factors. CATENA 145:321–333

    Article  Google Scholar 

  • Lin P, Lau SSY, Qin H (2017) Effects of urban planning indicators on urban heat island: a case study of pocket parks in high-rise high-density environment. Landsc Urban Plan 168:48–60

    Article  Google Scholar 

  • Liu Y, Peng J, Wang Y (2017) Relationship between urban heat island and landscape patterns: from city size and landscape composition to spatial configuration. Acta Ecol Sin 37:12–23

    Google Scholar 

  • Magli S, Lodi C, Lombroso L, Muscio A, Teggi S (2015) Analysis of the urban heat island effects on building energy consumption. Int J Energy Environ Eng 6:91–99

    Article  Google Scholar 

  • Memon RA, Leung DYC, Liu C (2008) A review on the generation, determination and mitigation of Urban Heat Island. J Environ Sci 20:120–128

    Article  Google Scholar 

  • Mohajerani A, Bakaric J, Jeffrey-Bailey T (2017) The urban heat island effect, its causes, and mitigation, with reference to the thermal properties of asphalt concrete. J Environ Manag 197:522–538

    Article  Google Scholar 

  • Peng J, Xie P, Liu Y, Ma J (2016) Urban thermal environment dynamics and associated landscape pattern factors: a case study in the Beijing metropolitan region. Remote Sens Environ 173:145–155

    Article  Google Scholar 

  • Peng J, Ji J, Liu Y, Li H, Wu J (2018) Seasonal contrast of the dominant factors for spatial distribution of land surface temperature in urban areas. Remote Sens Environ 215:255–267

    Article  Google Scholar 

  • Qiao Z, Huang N, Xu X, Sun Z, Wu C, Yang J (2019) Spatio-temporal pattern and evolution of the urban thermal landscape in metropolitan Beijing between 2003 and 2017. Acta Geogr Sin 74:475–489

    Google Scholar 

  • Ren Z, Zheng H, He X, Zhang D, Yu X (2015) Estimation of the relationship between urban vegetation configuration and land surface temperature with remote sensing. J Indian Soc Remote Sens 43:89–100

    Article  Google Scholar 

  • Sanaieian H, Tenpierik M, Kvd L, Mehdizadeh Seraj F, Mofidi Shemrani SM (2014) Review of the impact of urban block form on thermal performance, solar access and ventilation. Renew Sustain Energy Rev 38:551–560

    Article  Google Scholar 

  • Shahmohamadi P, Che-Ani AI, Etessam I, Maulud KNA, Tawil NM (2011) Healthy environment: the need to mitigate urban heat island effects on human health. Proc Eng 20:61–70

    Article  Google Scholar 

  • Sobrino JA, Raissouni N (2000) Toward remote sensing methods for land cover dynamic monitoring: application to Morocco. Int J Remote Sens 21:353–366

    Article  Google Scholar 

  • Song Y, Zhang S (2003) The study on heat island effect in Beijing during last 40 years. Chin J Eco Agric 11:126–129

    Google Scholar 

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

    Article  Google Scholar 

  • Su Y, Foody GM, Cheng K-S (2012) Spatial non-stationarity in the relationships between land cover and surface temperature in an urban heat island and its impacts on thermally sensitive populations. Landsc Urban Plan 107:172–180

    Article  Google Scholar 

  • Sun R, Lü Y, Chen L, Liu Y, Chen A (2013) Assessing the stability of annual temperatures for different urban functional zones. Build Environ 65:90–98

    Article  Google Scholar 

  • Tan Z, Lau KK-L, Ng E (2016) Urban tree design approaches for mitigating daytime urban heat island effects in a high-density urban environment. Energy Build 114:265–274

    Article  Google Scholar 

  • Tang J, Di L, Xiao J (2017) Impacts of land use and socioeconomic patterns on urban heat Island. Int J Remote Sens 38:3445–3465

    Article  Google Scholar 

  • Tran H, Uchihama D, Ochi S, Yasuoka Y (2006) Assessment with satellite data of the urban heat island effects in Asian mega cities. Int J Appl Earth Obs Geoinf 8:34–48

    Article  Google Scholar 

  • Wang J, Xu C (2017) Geodetector: principle and prospective. Acta Geogr Sin 72:116–134

    Google Scholar 

  • Wang Z, Zhao X, Yang J, Song J (2016) Cooling and energy saving potentials of shade trees and urban lawns in a desert city. Appl Energy 161:437–444

    Article  Google Scholar 

  • Wu Z, Kong F, Wang Y (2016) The impact of greenspace on thermal comfort in a residential quarter of Beijing, China. Int J Environ Res Public Health 13:1217–1233

    Article  PubMed Central  Google Scholar 

  • Xie M, Wang Y, Chang Q, Fu M, Ye M (2013) Assessment of landscape patterns affecting land surface temperature in different biophysical gradients in Shenzhen, China. Urban Ecosyst 16:871–886

    Article  Google Scholar 

  • Yang F, Qian F, Lau SSY (2013) Urban form and density as indicators for summertime outdoor ventilation potential: a case study on high-rise housing in Shanghai. Build Environ 70:122–137

    Article  Google Scholar 

  • Yang Q, Huang X, Li J (2017) Assessing the relationship between surface urban heat islands and landscape patterns across climatic zones in China. Sci Rep 7:9337–9347

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Yao L, Chen L, Wei W (2017) Exploring the linkage between urban flood risk and spatial patterns in small urbanized catchments of Beijing, China. Int J Environ Res Public Health 14:239–255

    Article  PubMed Central  Google Scholar 

  • Yao L, Wei W, Yu Y, Xiao J, Chen L (2018a) Rainfall-runoff risk characteristics of urban function zones in Beijing using the SCS-CN model. J Geog Sci 28:656–668

    Article  Google Scholar 

  • Yao R, Wang L, Huang X (2018b) The influence of different data and method on estimating the surface urban heat island intensity. Ecol Ind 89:45–55

    Article  Google Scholar 

  • Yao L, Xu Y, Zhang B (2019) Effect of urban function and landscape structure on the urban heat island phenomenon in Beijing, China. Landsc Ecol Eng 15:379–390

    Article  Google Scholar 

  • Yin C, Yuan M, Lu Y, Huang Y, Liu Y (2018) Effects of urban form on the urban heat island effect based on spatial regression model. Sci Total Environ 634:696–704

    Article  CAS  PubMed  Google Scholar 

  • Yuan F, Bauer ME (2007) Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery. Remote Sens Environ 106:375–386

    Article  Google Scholar 

  • Yue W, Liu X (2016) Assessment on heat island effect based on urban regulatory planning. Chin J Appl Ecol 27:3631–3640

    Google Scholar 

  • Yue W, Liu Y, Fan P (2012) Assessing spatial pattern of urban thermal environment in Shanghai, China. Stoch Env Res Risk Assess 26:899–911

    Article  Google Scholar 

  • Zhang C, Wu J, Grimm NB, Mchale M, Buyantuyev A (2013) A hierarchical patch mosaic ecosystem model for urban landscapes: model development and evaluation. Ecol Model 250:81–100

    Article  Google Scholar 

  • Zhang Y, Heiko B, Zou C (2015) Characterizing bi-temporal patterns of land surface temperature using landscape metrics based on sub-pixel classifications from Landsat TM/ETM+. Int J Appl Earth Obs Geoinf 42:87–96

    Article  Google Scholar 

  • Zhou W (2012) Effects of patch characteristics and within patch heterogeneity on the accuracy of urban land cover estimates from visual interpretation. Landsc Ecol 27:1291–1305

    Article  Google Scholar 

  • Zhou S, Shu J (1994) Urban climatology. Meteorological Press, Beijing

    Google Scholar 

  • Zhou X, Wang Y (2010) Dynamics of land surface temperature in response to land:se/cover change. Geogr Res 49:23–36

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Zhou W, Qian Y, Li X, Li W, Han L (2014) Relationships between land cover and the surface urban heat island: seasonal variability and effects of spatial and thematic resolution of land cover data on predicting land surface temperatures. Landsc Ecol 29:153–167

    Article  Google Scholar 

  • Zhou W, Wang J, Cadenasso ML (2017) Effects of the spatial configuration of trees on urban heat mitigation: a comparative study. Remote Sens Environ 195:1–12

    Article  Google Scholar 

Download references

Acknowledgements

We sincerely thank the editors and two anonymous reviewers for their valuable advices regarding revision of this manuscript. This work was financed by the Natural Science Foundation of China (41701206), the Natural Science Foundation of Shandong Province (ZR2017BD011), the China Postdoctoral Science Foundation (2017M622256), and the Focus on Research and Development Plan of Shandong Province (2019GSF109034).

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Authors and Affiliations

  1. College of Geography and Environment, Shandong Normal University, Jinan, 250358, China

    Tong Li, Jianfei Cao, Mingxue Xu, Quanyuan Wu & Lei Yao

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  1. Tong Li
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  2. Jianfei Cao
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  3. Mingxue Xu
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  4. Quanyuan Wu
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Correspondence to Lei Yao.

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Li, T., Cao, J., Xu, M. et al. The influence of urban spatial pattern on land surface temperature for different functional zones. Landscape Ecol Eng 16, 249–262 (2020). https://doi.org/10.1007/s11355-020-00417-8

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