Spatio-temporal variations of land surface albedo and its driving factors over the Karst mountains area

doi:10.13474/j.cnki.11-2246.2023.0049

Abstract

Abstract: In order to understand the climatic effects of surface albedo in humid karst mountainous areas under the background of global warming, the author takes Guizhou province as an example in this thesis. MODIS surface albedo products, combined with data on vegetation, land use, geological lithology and other data are used. The temporal and spatial variation characteristics of surface albedo in Guizhou province in the recent 20 years are analyzed based on Theil-Sen Median slope calculation and Mann-Kendall statistical test. Geographical detector is used to analyze the dominant drivering factors of surface albedo in Guizhou. The results show that: ① The average surface albedo of Guizhou province from 2001 to 2020 is 0.111 0, and it is slowly fluctuating and decreasing at an annual average rate of 0.16×10^-3, with the area of decreasing area accounting for 58.17% of the total area. ② The annual average albedo is summer (0.118 6)>autumn (0.113 7)>spring (0.105 0)>winter (0.103 0), and the annual average growth rate is summer (0.48×10^-3)>autumn (-0.13×10^-3)>spring (-0.31×10^-3)>winter(-0.51×10^-3). ③ The annual variation of the surface albedo is inverted U-shaped, showing remarkable seasonal characteristics. ④ Vegetation, land use, and lithology combination are the dominant driving factors of the spatial-temporal heterogeneity of surface albedo in Guizhou. The interaction between these factors on surface albedo is the dual-factor enhancement or nonlinear enhancement.

Key words: climate change, surface albedo, spatio-temporal variations, driving factors

CLC Number:

P237

HU Haitao, LIU Suihua. Spatio-temporal variations of land surface albedo and its driving factors over the Karst mountains area[J]. Bulletin of Surveying and Mapping, 2023, 0(2): 110-116.

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