A novel method for analyzing the spatial and temporal distribution of freeze-thaw erosion based on a similar information value model: a case study of the China-Mongolia-Russia Economic Corridor region

Abstract

In this study, the region along the Mongolia-China-Russia Economic Corridor was selected as the subject. Here, a freeze-thaw erosion model would be built and used. By contrasting the probability of a geological disaster under the effect of an influencing factor with the probability of a geological disaster in the whole research region, the information value model is realized. In order to identify the most prone factors of freeze-thaw erosion in the research region, we replaced the possibility of geological disasters with the possibility of freeze-thaw erosion. The study region under each influencing factor was separated into five grades. Each grade’s information value was computed using the principles of the information quantity model and the freezing and thawing erosion grade division. Since there were positive and negative information values, for the purposes of calculating probabilities, they were normalized to obtain the similar information value for each grade before calculating the overall similar information value of each factor. The similar information value model (SIVM) underlies this procedure determines the weight. We compared the Analytic Hierarchy Process (AHP) and SIVM with the results of 0.070–0.758 and 0.063–0.776, respectively. Finally, the outcomes were confirmed through visual interpretation.

Keywords:

• Freeze-thaw erosion
• impact factors
• AHP
• SIVM
• China-Mongolia-Russia economic corridor
• visual interpretation

Data availability statement

The data that support the findings of this study are available from [NOAA National Environmental Information Center, Geospatial Data Cloud, NASA Data Center, World Soil Database]. Restrictions apply to the availability of these data, which were used under license for this study. Data are available [at https://www.ncei.noaa.gov, http://www.gscloud.cn/, https://ladsweb.modaps.eosdis.nasa.gov/, https://iiasa.ac.at/] with the permission of [NOAA National Environmental Information Center, Geospatial Data Cloud, NASA Data Center, World Soil Database].

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This research was funded by the Major Project of High Resolution Earth Observation System of China (No.GFZX0404130304); the Open Fund of Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying, Mapping and Remote Sensing, Hunan University of Science and Technology (No.E22201); the Geological survey project of China Geological Survey (No.DD20220993); a grant from State Key Laboratory of Resources and Environmental Information System; the Innovation Capability Improvement Project of Scientific and Technological Small and Medium-sized Enterprises in Shandong Province of China (No.2021TSGC1056).