Impact of Urban Climate Landscape Patterns on Land Surface Temperature in Wuhan, China

Facing urban warming, mitigation and adaptation strategies are not efficient enough to tackle excessive urban heat, especially at the local scale. The local climate zone (LCZ) classification scheme is employed to examine the diversity and complexity of the climate response within a city. This study suggests that zonal practice could be an efficient way to bridge the knowledge gap between climate research and urban planning. Urban surfaces classified by LCZ are designated as urban climate landscapes, which extends the LCZ concept to urban planning applications. Selecting Wuhan as a case study, we attempt to explore the climatic effect of landscape patterns. Thermal effects are compared across the urban climate landscapes, and the relationships between patch metrics and land surface temperature (LST) are quantified. Results indicate that climate landscape layout is a considerable factor impacting local urban climate. For Wuhan, 500 m is an optimal scale for exploring landscape pattern-temperature relationships. Temperature contrast between surrounding landscape patches has a major influence on LST. Generally, fragmental landscape patches contribute to heat release. For most climate landscape types, patch metrics also have a significant effect on thermal response. When three metrics are included as predictive variables, 53.3% of the heating intensity variation can be explained for the Large Lowrise landscape, while 57.4% of the cooling intensity variation can be explained for the Water landscape. Therefore, this article claims that land-based layout optimization strategy at local scale, which conforms to planning manner, should be taken into account in terms of heat management.

[1]  D. Quattrochi,et al.  Scale, Multiscaling, Remote Sensing, and GIS , 1997 .

[2]  János Unger,et al.  Intra-urban relationship between surface geometry and urban heat island: review and new approach , 2004 .

[3]  Nina Schwarz,et al.  Relationship of land surface and air temperatures and its implications for quantifying urban heat island indicators—An application for the city of Leipzig (Germany) , 2012 .

[4]  R. Betts,et al.  Climate and more sustainable cities: climate information for improved planning and management of cities (producers/capabilities perspective) , 2010 .

[5]  Jian Hang,et al.  Ventilation strategy and air change rates in idealized high-rise compact urban areas , 2010 .

[6]  T. Oke,et al.  Local Climate Zones for Urban Temperature Studies , 2012 .

[7]  Iain Stewart,et al.  Mapping Local Climate Zones for a Worldwide Database of the Form and Function of Cities , 2015, ISPRS Int. J. Geo Inf..

[8]  M. Santamouris,et al.  Development and testing of PCM doped cool colored coatings to mitigate urban heat island and cool buildings , 2011 .

[9]  B. Stone,et al.  Landscape and Urban Planning , 2022 .

[10]  J. A. Voogta,et al.  Thermal remote sensing of urban climates , 2003 .

[11]  G. Fu,et al.  Urban planning indicators, morphology and climate indicators: A case study for a north-south transec , 2011 .

[12]  Hannah Hoag,et al.  How cities can beat the heat , 2015, Nature.

[13]  A. Russell,et al.  Climate change adaptation through urban heat management in Atlanta, Georgia. , 2013, Environmental science & technology.

[14]  M. Hebbert,et al.  Cities and Climate Change: The Precedents and Why They Matter , 2013 .

[15]  C.Y. Jim,et al.  Urban greenspace delivery in Hong Kong: Spatial-institutional limitations and solutions , 2016 .

[16]  S. Myint,et al.  Exploring the effect of neighboring land cover pattern on land surface temperature of central building objects , 2016 .

[17]  Jin Chen,et al.  Quantifying the cool island intensity of urban parks using ASTER and IKONOS data , 2010 .

[18]  Edward Ng,et al.  Building porosity for better urban ventilation in high-density cities – A computational parametric study , 2011, Building and Environment.

[19]  Andy Chan,et al.  Effect of vegetation and waterbody on the garden city concept: An evaluation study using a newly developed city, Putrajaya, Malaysia , 2016, Comput. Environ. Urban Syst..

[20]  Benjamin Bechtel,et al.  Classification of Local Climate Zones Using SAR and Multispectral Data in an Arid Environment , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[21]  S. Du,et al.  The relationships between landscape compositions and land surface temperature: Quantifying their resolution sensitivity with spatial regression models , 2014 .

[22]  N. Mittal,et al.  Mitigating and adapting to climate change: multi-functional and multi-scale assessment of green urban infrastructure. , 2014, Journal of environmental management.

[23]  Timothy R. Oke,et al.  Evaluation of the ‘local climate zone’ scheme using temperature observations and model simulations , 2014 .

[24]  S. Guhathakurta,et al.  Impact of urban form and design on mid-afternoon microclimate in Phoenix Local Climate Zones , 2014 .

[25]  Petr Dobrovolný,et al.  Land Surface Temperature Differences within Local Climate Zones, Based on Two Central European Cities , 2016, Remote. Sens..

[26]  J. Unger,et al.  Detection of ventilation paths using high-resolution roughness parameter mapping in a large urban area , 2009 .

[27]  Jianguo Wu.  Effects of changing scale on landscape pattern analysis: scaling relations , 2004, Landscape Ecology.

[28]  Luc Adolphe,et al.  A Simplified Model of Urban Morphology: Application to an Analysis of the Environmental Performance of Cities , 2001 .

[29]  Rohinton Emmanuel,et al.  Green infrastructure as an adaptation approach to tackling urban overheating in the Glasgow Clyde Valley Region, UK , 2015 .

[30]  Larissa Larsen,et al.  Urban climate and adaptation strategies , 2015 .

[31]  Meng Cai,et al.  Classification of Local Climate Zones Using ASTER and Landsat Data for High-Density Cities , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[32]  D. Lu,et al.  Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies , 2004 .

[33]  Jiong Wang,et al.  Characterizing the spatial dynamics of land surface temperature-impervious surface fraction relationship , 2016, Int. J. Appl. Earth Obs. Geoinformation.

[34]  Conghe Song,et al.  Impacts of landscape structure on surface urban heat islands: A case study of Shanghai, China , 2011 .

[35]  Ranhao Sun,et al.  How can urban water bodies be designed for climate adaptation , 2012 .

[36]  Jiong Wang,et al.  Attenuating the surface Urban Heat Island within the Local Thermal Zones through land surface modification. , 2017, Journal of environmental management.

[37]  J. Bouyer,et al.  Using Local Climate Zone scheme for UHI assessment: Evaluation of the method using mobile measurements , 2015 .

[38]  Cuizhen Wang,et al.  A satellite image-based analysis of factors contributing to the green-space cool island intensity on a city scale , 2014 .

[39]  T. Matthews,et al.  Reconceptualizing green infrastructure for climate change adaptation: Barriers to adoption and drivers for uptake by spatial planners , 2015 .

[40]  Marion Bonhomme,et al.  City and Building Designers, and Climate Adaptation , 2016 .

[41]  E. Talen,et al.  Does the spatial arrangement of urban landscape matter? examples of urban warming and cooling in phoenix and las vegas , 2015 .

[42]  Steffen Fritz,et al.  Contributing to WUDAPT: A Local Climate Zone Classification of Two Cities in Ukraine , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[43]  R. Betts,et al.  Climate and more sustainable cities: climate information for improved planning and management of cities (producers/capabilities perspective) , 2010 .