Sustainability, Год журнала: 2024, Номер 16(2), С. 486 - 486
Опубликована: Янв. 5, 2024
Increases in land surface temperature (LST) and the urban heat island effect have become major challenges process of development. However, few studies examined variations LST between different agglomerations (UAs). Based on MODIS data, we quantitatively analyzed spatial temporal evolution patterns three UAs China from 2000 to 2020—Beijing–Tianjin–Hebei (BTH) at national level, Shandong Peninsula (SP) regional Central Shanxi (CS) city level—by employing agglomeration built-up area intensity (UABI), linear regression analyses, geodetic detector models. The results showed following: (1) pattern BTH was most regularized; SP gradually evolved “two points” “a single branch”; CS easily influenced by neighboring big cities. (2) best-fitting coefficients for BTH, SP, were R2BTH = 0.58, R2SP 0.66, R2CS respectively; every 10% increase UABI warmed LSTs 1.47 °C, 1.27 1.83 respectively. (3) ranking single-factor influence DEM (digital elevation model) > NDVI T2m (air 2 m) POP (population). interacting with had strongest warming LST, maximum value q(UABI ∩ DEM) 0.951. All factor interactions an enhancement CS, but factors a weaker which q(NDVI POP) 0.265 q(T2m 0.261. As development matures, interaction might cooling environment certain degree.
Язык: Английский