Abstract
This study proposes an equivalent-elevation method to evaluate the integrated effects of latitude and elevation on regional and local-scale permafrost distribution in the Qinghai-Tibet Plateau, and to model the general permafrost-distribution patterns in regional and local-scale area. It is found that the Gaussian curve—an empirical model describing the relation between variations of altitudinal permafrost lower limit (PLL) and latitude in the Northern Hemisphere—could be applied in regional- and local-scale areas in the Qinghai-Tibet Plateau in a latitude-sensitive interval of 30°-50°N. The curve was then used to evaluate the latitudinal effect on permafrost distribution through transforming the latitudinal effect into a kind of altitudinal difference of PLL. This study then calculated the local equivalent-elevation value by overlaying the altitudinal difference of PLL onto real elevation at a certain location. The equivalent-elevation method was verified in an experimental subwatershed of the Qinghai-Tibet Plateau. However, feasibility of the method should be further tested in order to extend for future studies. The use of equivalent-elevation values can build a platform for comparing the regional general permafrost distribution in the plateau, and for basing further evaluations of local factors’ effects on regional permafrost distribution.
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Foundation item: Under the auspices of Major State Basic Research Development Program of China (No. 2010CB951402), National Natural Science Foundation of China (No. 41101067), Foundation for Excellent Youth Scholars of Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences (No. Y184A91001), Research Program of State Key Laboratory of Frozen Soil Engineering of Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences (No. SKLFSE-ZQ-10)
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Li, J., Sheng, Y., Wu, J. et al. Modeling regional and local-scale permafrost distribution in Qinghai-Tibet Plateau using equivalent-elevation method. Chin. Geogr. Sci. 22, 278–287 (2012). https://doi.org/10.1007/s11769-012-0520-6
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DOI: https://doi.org/10.1007/s11769-012-0520-6