TY - JOUR
T1 - Profile and concentric zonal analysis of relationships between land use/land cover and land surface temperature
T2 - Case study of Shenyang, China
AU - Zhao, Zi Qi
AU - He, Bao Jie
AU - Li, Li Guang
AU - Wang, Hong Bo
AU - Darko, Amos
N1 - Funding Information:
Many thanks go to the value comments of referees. Many thanks go to the University International Postgraduate Award (UIPA) scholarship from University of New South Wales, Australia . Meanwhile, we appreciate the support of Scientific & Research Project of Liaoning Provincial Meteorological Bureau ( 201719 ) and Basic Scientific & Research Business Expenses for Scientific and Scientific Institutions for Central Public Welfare ( 2015IAE-CMA03 ).
Publisher Copyright:
© 2017 Elsevier B.V.
PY - 2017/11/15
Y1 - 2017/11/15
N2 - In this study, relationships between land use/land cover (LULC) types and land surface temperature (LST) patterns in Shenyang, China were investigated using Landsat 8 image. Typical characteristics of LST in summer time and temperature variations over all LULC types were firstly examined. Afterwards, spatial distribution of LST in radial and circumferential directions was characterized based on profile and concentric zonal analysis, in which contributions of LULC types to LST were studied. In addition, models that can effectively predict LST distribution were developed based on multiple linear regression method (MLRM) and the partial least squares regression method (PLSRM). Results indicate that (1) LST of the study area mainly ranges from 32 °C to 41 °C, where building and road are main drivers leading to hot temperatures. (2) Temperature profiles vary greatly with LULC types, while urban expansion along central axis causes to horizontal arrangement of building and road, resulting in hot but small-fluctuated LST temperature in 0° and 180°. (3) Mean and standard deviation of LST in concentric zones are 36.0 ± 4.2 °C, and LST over all LULC types follows the following pattern: building > road > bare land > agricultural land > green land > water bodies. Due to large proportions of building and road, Buffer 3, 4 and 5 undergo the highest temperature. Although green land and water bodies show significant capability to mitigate UHI effects, cooling effects are unapparent when their sizes are small. (4) Both models developed on MLRM and PLSRM have high degree of accuracy, while the latter is more reasonable for different coefficients can respectively indicate negative and positive roles of LULC types in affecting surface temperature. In general, this study can assist urban planners and policy makers to understand relationships between local LULC types versus LST patterns, and can help them predict UHI patterns along rapid urban expansion, and then make rational urban planning decisions for UHI mitigation.
AB - In this study, relationships between land use/land cover (LULC) types and land surface temperature (LST) patterns in Shenyang, China were investigated using Landsat 8 image. Typical characteristics of LST in summer time and temperature variations over all LULC types were firstly examined. Afterwards, spatial distribution of LST in radial and circumferential directions was characterized based on profile and concentric zonal analysis, in which contributions of LULC types to LST were studied. In addition, models that can effectively predict LST distribution were developed based on multiple linear regression method (MLRM) and the partial least squares regression method (PLSRM). Results indicate that (1) LST of the study area mainly ranges from 32 °C to 41 °C, where building and road are main drivers leading to hot temperatures. (2) Temperature profiles vary greatly with LULC types, while urban expansion along central axis causes to horizontal arrangement of building and road, resulting in hot but small-fluctuated LST temperature in 0° and 180°. (3) Mean and standard deviation of LST in concentric zones are 36.0 ± 4.2 °C, and LST over all LULC types follows the following pattern: building > road > bare land > agricultural land > green land > water bodies. Due to large proportions of building and road, Buffer 3, 4 and 5 undergo the highest temperature. Although green land and water bodies show significant capability to mitigate UHI effects, cooling effects are unapparent when their sizes are small. (4) Both models developed on MLRM and PLSRM have high degree of accuracy, while the latter is more reasonable for different coefficients can respectively indicate negative and positive roles of LULC types in affecting surface temperature. In general, this study can assist urban planners and policy makers to understand relationships between local LULC types versus LST patterns, and can help them predict UHI patterns along rapid urban expansion, and then make rational urban planning decisions for UHI mitigation.
KW - Land surface temperature
KW - Land use/land cover
KW - Landsat 8
KW - Local concentric zones
KW - Predictive model
KW - Profile analysis
UR - http://www.scopus.com/inward/record.url?scp=85029723042&partnerID=8YFLogxK
U2 - 10.1016/j.enbuild.2017.09.046
DO - 10.1016/j.enbuild.2017.09.046
M3 - Journal article
AN - SCOPUS:85029723042
SN - 0378-7788
VL - 155
SP - 282
EP - 295
JO - Energy and Buildings
JF - Energy and Buildings
ER -
