Spatio-temporal evolution and interrelationship between underlying surface types and thermal environment in the main urban area of Shijiazhuang city

doi:10.14088/j.cnki.issn0439-8114.2021.20.009

Abstract

Abstract: Landsat 5 TM/Landsat 8 OLI-TIRS remote sensing data in 1987, 2004 and 2019 are used to analyze spatio-temporal evolution and interrelationship between underlying surface types and thermal environment in the main urban area of Shijiazhuang city, by using RS, GIS, landscape ecology and statistical analysis methods. The results show that green space and impervious surface are the main underlying surface types. With the development of urbanization, the area of green space is gradually decreasing, and the surface area of impermeable land gradually increases. The urban expansion rate in 2004—2019 was faster than 1987—2004. The transfer model shows that the urban area develops to the northeast, while the heat island area develops to the southeast. Hutuohe river’s water storage and greening project blocked the heat island area from spreading to the northeast. The lower land surface temperature （LST） is consistent with the distribution of green spaces and water bodies, and the higher LST is consistent with the distribution of impervious surface. For every 10% increase in the proportion of green space and water landscape （PLAND）, the average LST decreases by 0.69 ℃ and 0.93 ℃. For every 10% increase in impervious surface PLAND, the average LST increases by 0.75 ℃, and the water body cools down. The effect is higher than that of green space, the average LST of the four underlying surface types and PLAND, the largest patch index （LPI） and the aggregation index （AI） all show a consistent and extremely significant correlation. The green space and the water body are negatively correlated and impervious. The ground surface is positively correlated, and the proportion of landscape. Patch size, and degree of aggregation have a greater impact on LST. The type and structure of the underlying surface are the main reasons for the difference in the spatial distribution of the thermal environment.

Key words: type of underlying surface, thermal environment, spatio-temporal evolution, landscape, Shijiazhuang city

CLC Number:

TP79
X144

$\boxed{\hbox{YANG Peng}}$, CHENG Si-yang, GAO Qi, ZHI Li-hui, ZHANG Yan-pin, ZHOU Jing-bo, ZHOU Yang. Spatio-temporal evolution and interrelationship between underlying surface types and thermal environment in the main urban area of Shijiazhuang city[J]. HUBEI AGRICULTURAL SCIENCES, 2021, 60(20): 48-56.

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