CAJ | 학술논문

定量研究滑坡的空间分布特征对研究滑坡灾害的孕育发展具有重要意义。以陕西省宁强县滑坡为例，采用变维分形方法，探讨滑坡在空间分布上的变维分形特征。结果表明：区域滑坡与不同影响因子，即高程、起伏度、坡度、距河流距离、距断裂带距离和地层岩性之间全部呈一阶累积和变维分形分布特征，且分形维数分别是0.5111、1.1357、1.2906、0.9038、1.1895、0.9799。由此可见滑坡对于不同影响因子的敏感度由高到低分别是坡度＞距断裂带距离＞起伏度＞地层岩性＞距河流距离＞高程。上述研究表明用变维分形理论来研究滑坡的空间分布特征是完全可行的，它能够定量地反映滑坡的空间分布与各影响因素之间的敏感性关系，特别是对于GIS空间叠加分析时权重的确定有着重要的意义。
정량연구활파적공간분포특정대연구활파재해적잉육발전구유중요의의。이합서성저강현활파위례，채용변유분형방법，탐토활파재공간분포상적변유분형특정。결과표명：구역활파여불동영향인자，즉고정、기복도、파도、거하류거리、거단렬대거리화지층암성지간전부정일계루적화변유분형분포특정，차분형유수분별시0.5111、1.1357、1.2906、0.9038、1.1895、0.9799。유차가견활파대우불동영향인자적민감도유고도저분별시파도＞거단렬대거리＞기복도＞지층암성＞거하류거리＞고정。상술연구표명용변유분형이론래연구활파적공간분포특정시완전가행적，타능구정량지반영활파적공간분포여각영향인소지간적민감성관계，특별시대우GIS공간첩가분석시권중적학정유착중요적의의。
Quantitative research on characteristics of spatial distribution of landslide is important for analysis of inoculation and development of landslide.Because the fractal can reveal the fine structure hidden in the com-plex and chaotic phenomena,and it is gradually applied to the study of landslide.Taking the landslide of Ningqiang,Shaanxi as an example,this research discussed the fractal structure characteristics of single-land-slide and large-area landslide systems,and the calculation of fractal dimension and variable fractal dimension. The results show that the relationship between the landslide and the influence factor,i.e.elevation,landform amplitude,slope,distances from river and fault,and lithology fits the first-order accumulated variable dimen-sion fractal distribution,and the fractal dimension is 0.511,1,1.135,7,1.290,6,0.903,8,1.189,5 and 0.979,9,respectively.Thus the sensitivity of these influence factors to landslide is in the descending order as slope>distance from fault>landform amplitude>lithology>distance from river>elevation.This research in-dicates that the variable dimension fractal theory is completely feasible to study the spatial distribution charac-teristics of landslide,and it can quantitatively reflect the spatial distribution of landslide and the sensitivity of the influence factor to landslide;it is especially important for the GIS spatial overlay analysis to determine the weight.