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Spatial distribution and influencing factors of Surface Nibble Degree index in the severe gully erosion region of China’s loess plateau

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Journal of Geographical Sciences 2021年第11期31卷 1575-1597页

作者： ZHOU Yi YANG Caiqin LI Fan CHEN Rong School of Geography and Tourism Shaanxi Normal UniversityXi'an 710119China National Experiment and Teaching Demonstration Center for Geography Xi'an 710119China

In China’s loess plateau severe gully erosion(LPGE)region,the shoulder-line is the most intuitive and unique manifestation of the loess landform,which divides a landform into positive and negative terrains(PNTs).The spatial combination model of PNTs is of great significance for revealing the evolution of the loess *** study modeled and proposed the Surface Nibble Degree(SND),which is a new index that reflects the comparison of the areas of *** on 5 m DEMs and matched high-resolution remote sensing images,the PNTs of 164 complete watersheds in the LPGE were extracted accurately,and the SND index was *** spatial distribution trend of SND was discussed,and the relationship between SND and the factors that affect the evolution mechanism of regional landform was explored *** show that:(1)The SND can be calculated *** can quantify the development of the loess landform well.(2)The SND of the LPGE has evident spatial differentiation that increases from southwest to *** values appear in Shenmu of Shaanxi,Shilou of Shanxi,and northern Yanhe River,whereas the low values are mainly distributed in the southern loess tableland and the inclined elongated ridge area of Pingliang in Gansu and Guyuan in Ningxia.(3)In the Wuding River and Yanhe River,the SND decreases with the increase in flow length(FL).In the North-Luohe River and Jinghe River,the SND increases with FL.(4)SND is significantly correlated with gully density and sediment modulus and moderately correlated with hypsometric *** for the mechanism factors analysis,the relationship between loess thickness and SND is not obvious,but SND increased first and then decreased with the increase of precipitation and vegetation in each geographical division,and we found that the land use type of low coverage grassland has greater erosion potential.

关键词： digital elevation model shoulder-line Surface Nibble Decree spatial distribution terrain factor digital terrain analysis loess plateau gully erosion region

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