Publications

Ding, N; Zhang, Y; Wang, YC; Chen, LQ; Qin, K; Yang, XY (2023). Effect of landscape pattern of urban surface evapotranspiration on land surface temperature. URBAN CLIMATE, 49, 101540.

Abstract
Land surfaces in urban areas can be classified into artificial surfaces (impervious surface such as buildings and roads) and natural surfaces (vegetation, soil and water), and the natural surfaces have important influence on the urban environmental thermal regulation. Current research on urban spatial characteristics mostly focuses on the regulation of urban green spaces to mitigate the urban heat island effect and rarely explores the effect of the landscape pattern of urban natural surface evapotranspiration (ET) on land surface temperature (LST). Xuzhou, China, was selected as the study area, and the urban RS-PM and improved mono-window algorithm were applied to invert ET and LST values based on Landsat 8 Operational Land Imager and Thermal Infrared Sensor images, respectively. The study area was divided into five levels (LV5 to LV1) from high to weak, according to the ET intensity (ETi), four landscape-level (SHDI, SHEI, PD, and CONTAGION) and five class-level landscape metrics (PLAND, LPI, LSI, AI, and COHESION) were extracted based on the moving-window approach. Bivariate Moran's I was then used to calculate the spatial correlation between each landscape metric and LST. The weighted impact of each landscape metric on LST was obtained using principal component analysis and multiple regression. The results indicate that only five class-level metrics of high (LV5) and sub-high (LV4) ETi patches had significant negative spatial correlations with LST, and the weighted impacts of the high ETi patch metrics were all greater than those of the sub-high ETi patches. The weighted impacts of all class-level metrics that can mitigate LST were ranked as COHESION_LV5 > PLAND_LV5 > LPI_LV5 approximate to AI_LV5 > LSI_LV5 > LSI_LV4 > PLAND_LV4 > COHESION_LV4 > LPI_LV4 > AI_LV4. These findings revealed the importance of ET spatial pattern for urban thermal environment regulation, which may provide a new perspective in urban planning and environmental governance.

DOI:
10.1016/j.uclim.2023.101540

ISSN: