• Included in CSCD
  • Chinese Core Journals
  • Included in WJCI Report
  • Included in Scopus, CA, DOAJ, EBSCO, JST
  • The Key Magazine of China Technology
Volume 39 Issue 1
Feb.  2020
Turn off MathJax
Article Contents
HUANG Liang, ZHAO Weiquan, LYU Sisi, YANG Jiafang, SU Weici. Study on the relationship between spatial distribution of karst caves and drainage density: An example of Guizhou Province[J]. CARSOLOGICA SINICA, 2020, 39(1): 127-136. doi: 10.11932/karst2020y02
Citation: HUANG Liang, ZHAO Weiquan, LYU Sisi, YANG Jiafang, SU Weici. Study on the relationship between spatial distribution of karst caves and drainage density: An example of Guizhou Province[J]. CARSOLOGICA SINICA, 2020, 39(1): 127-136. doi: 10.11932/karst2020y02

Study on the relationship between spatial distribution of karst caves and drainage density: An example of Guizhou Province

doi: 10.11932/karst2020y02
  • Publish Date: 2020-02-25
  • Guizhou Province is located in the hinterland of southwest China, an important part of the Yunnan-Guizhou Plateau, with high mountains and deep gorges. It has subtropical humid monsoon climate with large rainfall, where carbonate strata and karst are widely distributed, and karst process is generally developed, resulting in rapid conversion of surface water into groundwater. Here strong dissolution and mechanical abrasion have shaped unique and magnificent karst landforms, such as peak clusters, peak forests, depressions, sinkholes, funnels, and underground rivers. This paper analyzes the relationship between the spatial distribution of caves and the density of river networks based on data of 4,789 caves and an 1∶200,000 hydrogeological map of Guizhou Province, and explains the genesis of such relationship from the perspective of lithology, structure, climate and topography. The results show that the karst caves in Guizhou Province are concentrated in the areas with low and medium river network density, exhibiting a patchy spatial pattern. The normal QQ map largely shows a normal distribution, indicating that the concentration of river network density at cave points is the result of mutual restriction of many factors. The cave points and river network density have a negative correlation in pure carbonate rock, carbonate rock interspersed with non-carbonate rock and non-carbonate rock areas. In carbonate rock area, the density of caves increases with the increases of temperature and precipitation, while the density of river network shows a trend of increase first and then decrease due to the varied degrees of karst development. The centers of folds and faults are the dominant area of cave development, where the density of the river network is relatively low, and the number of caves decreases with the increases of distance. In the terrain area below slope 25°, the number of caves is the largest, and the maximum river network density appears in the gentle area. With the increase of slope, the overall trend is decreasing. In the terrain range of slopes 25° to 30°, the number of caves tends to decrease. The conditions of lithology, structure, and climate have promoted the development of mature surface and underground water circulation systems in Guizhou. The surface water promotes the development of karst caves, which in turn restricts the development of surface runoff, making the density of cave river networks present a trend of concentrated distribution in low and medium values.

     

  • loading
  • [1]
    韩杰, 李铁成. 吉林省喀斯特洞穴的基础研究[J]. 东北师大学报:自然科学版, 1995(3):113-117.
    [2]
    Prof. Dr. Alfred B?gli. Karst Hydrology and Physical Speleology[M]. Springer-Verlag, 1980.
    [3]
    陈长明. 试论我国地洼区喀斯特洞穴的发育与演化[J]. 地质论评, 1992, 38(3):215-223.
    [4]
    张绍云, 周忠发, 熊康宁, 等. 贵州洞穴空间格局及影响因素分析[J]. 地理学报, 2016, 71(11):1998-2009.
    [5]
    Molnar P , England P . Late Cenozoic uplift of mountain ranges and global climate change: chicken or egg?[J]. Nature, 1990, 346(6279):29-34.
    [6]
    Peizhen Z , Molnar P , Downs W R . Increased sedimentation rates and grain sizes 2-4 Myr ago due to the influence of climate change on erosion rates[J]. Nature, 2001, 410(6831):891-897.
    [7]
    Burbank D W , Anderson R S.1. Introduction to Tectonic Geomorphology[M]// Tectonic Geomorphology, Second Edition. John Wiley & Sons, Ltd, 2011.
    [8]
    张会平, 杨农, 张岳桥, 等. 岷江水系流域地貌特征及其构造指示意义[J]. 第四纪研究, 2006, 26(1):126-135.
    [9]
    王秀春, 吴姗, 毕晓丽, 等. 泾河流域水系分维特征及其生态意义[J]. 北京师范大学学报(自然科学版), 2004, 40(3):364-368.
    [10]
    董哲仁.河流形态多样性与生物群落多样性[J].水利学报,2003,34(11):1-6.
    [11]
    蓝安军, 熊康宁, 安裕伦. 喀斯特石漠化的驱动因子分析:以贵州省为例[J]. 水土保持通报, 2001, 21(6):19-23.
    [12]
    张结, 周忠发, 李坡, 等. 喀斯特洞穴窝穴的形态对比与成因分析:以贵州省双河洞为例[J]. 中国岩溶, 2016, 35(4):432-438.
    [13]
    张晓曼, 王健, 郑倩华, 等. 河北临城崆山白云洞溶洞地貌和沉积特征及其影响因素[J]. 古地理学报, 2013, 15(1):49-58.
    [14]
    崔英方, 董进国, 赵侃.基于石笋记录的小冰期与“8.2 ka BP”事件的对比研究[J]. 中国岩溶, 2019,38(1):40-49.
    [15]
    王宝艳, 杨勋林, 孙喜利, 等. 重庆金佛洞石笋δ~(13)C记录的全新世千年尺度气候振荡[J]. 地球与环境, 2019, 47(1):4-12.
    [16]
    袁道先.岩溶地区的地质环境和水文生态问题[J].南方国土资源, 2003(1):22-25.
    [17]
    陈伟燕, 王世杰, 白晓永, 等. 贵州喀斯特地区河网分布规律及其主控要素分析[J]. 地球与环境, 2013, 41(3):193-202.
    [18]
    杨明德. 喀斯特流域水文地貌系统[M]. 北京:地质出版社, 1998.
    [19]
    陈伟海. 洞穴研究进展综述[J]. 地质论评, 2006, 52(6):65-74.
    [20]
    李瑞玲, 王世杰. 贵州岩溶地区岩性与土地石漠化的相关分析[J]. 地理学报, 2003, 58(2):314-320.
    [21]
    贵州省地质矿产局. 贵州省区域地质志[M]. 北京:地质出版 社, 1987.
    [22]
    刘福昌. 贵州境内的水系类型[J]. 贵州师范大学学报:自然科学版, 1987(2):10-15.
    [23]
    袁道先. 现代岩溶学和全球变化研究[J]. 地学前缘, 1997 (Z1):17-25.
    [24]
    宋林华. 喀斯特地貌研究进展与趋势[J]. 地理科学进展, 2000, 19(3):193-202.
    [25]
    罗利川, 梁杏, 周宏, 等. 香溪河流域岩溶洞穴发育与分布特征[J]. 中国岩溶, 2018, 37(3):450-461.
    [26]
    罗书文, 杨桃, 陈伟海, 等. 单斜构造区岩溶倾斜洞穴发育趋势与岩层产状相关性识别[J]. 中国岩溶, 2018, 37(3): 433-439.
    [27]
    江思义, 吴福, 刘庆超, 等. 广西桂林市规划中心城区岩溶发育特征及分布规律[J]. 中国地质灾害与防治学报, 2019, 30(3): 120-128.
    [28]
    钱宁. 河床演变学[M]. 北京:科学出版社, 1987.
    [29]
    朱德浩. 岩溶洞穴成因研究和实验研究综述[J]. 中国岩溶, 1993,12(3):104-110.
    [30]
    韩至钧, 金占省. 贵州省水文地质志[M]. 北京:地震出版社, 1996.
    [31]
    袁道先. 碳循环与全球岩溶[J]. 第四纪研究, 1993, 13(1):1-6.
    [32]
    袁道先. 中国西南部的岩溶及其与华北岩溶的对比[J]. 第四纪研究, 1992(4):352-361.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (2146) PDF downloads(503) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return