云南石林县域喀斯特洼地空间分布特征及影响因素研究

丁智强; 俞筱押; 高 璇; 李玉辉

doi:10.11932/karst20190305

云南石林县域喀斯特洼地空间分布特征及影响因素研究

doi: 10.11932/karst20190305

1.
云南师范大学旅游与地理科学学院，昆明 650500
2.
黔南民族师范学院旅游与资源环境学院，贵州都匀 558000

基金项目: 国家自然科学基金项目（41262013，41371514）

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出版历程
- 发布日期: 2019-06-25

Study on spatial distribution characteristics and influencing factors of karst depressions in Shilin county, Yunnan Province

1.
School of Tourism and Geographical Sciences, Yunnan Normal University, Kunming, Yunnan 650500,China
2.
School of Tourism and Resource Environment, Qiannan Normal University for Nationalities, Duyun, Guizhou 558000, China

摘要

摘要: 为深化洼地空间分布及其影响因素的认识，以云南石林县为例，在ArcGIS中基于DEM提取洼地分布及相关数据，并运用K函数（Ripley’s K）、核密度函数、缓冲区、空间叠加等分析方法，探讨了该区洼地密度分布特征及地理环境对其的影响。结果表明：研究区洼地在8 km尺度上为聚集分布模式，可划分为高密度（＞6个?km-2）、中密度（5～6个?km-2）和低密度（＜5个?km-2）三个区域。受多种地理环境因素影响，研究区洼地密度在不同海拔段、坡度、起伏度、地层岩石和断层缓冲区上均有差异性表现；同时，岩层节理、断层方向在一定程度上控制了洼地长轴的发育。研究区潜在水文连通性、面积—高程积分值两个指标与洼地密度呈现良好的一致性，但两个指标所反映的喀斯特洼地的地貌学意义还需进一步研究。
- 喀斯特洼地 /
- 连通性 /
- 面积-高程积分值 /
- 地理信息系统 /
- 石林
Abstract: It is of significance to study the distribution and the factors of karst impact on the development of karst depression in the fields of geomorphology and environmental science. This paper takes Shilin county with abundant karst depressions as the study area, which is in subtropical monsoon climate zone, the south of the karst plateau in eastern Yunnan Province. The area is sandwiched between the Shizong-Mile fault and the west branch of Xiaojiang fault, and at the transition zone between the southeastern margin of Qinghai-Tibet plateau and the Beibuwan hilly plain.Based on digital elevation model (DEM), the methods of Ripley’s K function, nuclear density, buffer analysis, and spatial superposition in ArcGIS are used to analyze the distribution characteristics of the depressions and the influence of geographical environment on them. The results show that, (1) The distribution of karst depression in study area presents an aggregate pattern on a scale of 8 km, and the area can be divided into three sub-areas, namely high-density(>6?km-2), medium-density (5~6?km-2) and low-density (<5?km-2) areas. The high-density area has a total area of 308 km2, which is concentrated in two areas, namely Weihei, Muzhujing, Yusheng, Nuoyi in the east, and Hemo station and Shilin town in the northwest, with an average depression density of 7.20?km-2. The medium-density area is in the surroundings of the high-density area, including Yinai, Douhei, Southern Haiyi, and Northern Weize, with an average density of 5.74?km-2; and the low-density area is mainly at the edge of county, with an average density of 4.16?km-2. From the aspect of morphological parameters of the depression individuals, perimeter and area of them are high-density area < medium-density area < low-density area; depth and side slope are high-density area ≈ medium-density area > low-density area. (2) The spatial distribution of the depressions is controlled by the factors such as topography, geomorphology and geology. They have different quantity and density at different locations in elevation, relief, slope, rock type and fault buffer. At the altitude of 1,850~1,950 m, the maximum number of depressions is 37.1%,while the slope of 6°~12° accounts for the most as 82.0%, the relief of 100~150 m is 31.3%, and the landform classification of karst hilly zone is 34.3%. In terms of rock type, the depression density in the Quaternary deposit area is 5.8?km-2, and in dolomite area is 5.6?km-2, which are both dominant distributions due to lithostratigraphy. There are differences among the density in the buffer zone of three fault groups, with similar trend of density variation at each fault group. Tectonic joints and fractures developed in the Devonian, Carboniferous and Permian strata and the Jiuxiang, Weize and Guishan faults in study area strongly control the development of karst depressions along their long axis directions.(3) The spatial variation of the depression density is well correlated with two comprehensive indicators of regional heterogeneous structure of potential hydrological connectivity (IC) and hypsometric integral (HI). As the IC value increases, the depression density decreases, showing a significant negative correlation (R2=0.81). While with the increase of HI value, the depression density gradually increases, showing a significant positive correlation (R2=0.90).The spatial distribution of karst depressions is affected by geographical factors, and IC and HI can comprehensively reflect the distribution characteristics of depressions in study area, however, whether this law is universal still need further study.
- karst depression /
- connectivity /
- hypsometric integral /
- geographic information system /
- Shilin country

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