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Karstic conduits and watershed identification based on the morphological characteristics of depressions in the Yunnan–Guizhou Plateau of China

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Abstract

In the investigation of karstic form and underground karst water, determination of the location and geometric properties of karstic conduits and underground watersheds is one of the greatest problems not yet adequately resolved. In the karst terrain of the Yunnan–Guizhou Plateau of China, karst depressions are a product of the formation and evolution of the groundwater system, and the distribution of these depressions is a direct result of crustal uplift and the development of karstic conduits. This terrain is characterized by differences in morphological characteristics of depressions between the region of recharge and the region of outflow/discharge: the region of recharge is marked extensively by circular and random depressions, and is characterized by depressions with higher bottom elevations (referred to here as ‘higher depressions’). Conversely, the region of outflow and discharge is marked extensively by depressions that form long strips or irregular alignments that are distributed along with the karstic conduits, and is characterized by depressions with lower bottom elevations (referred to here as ‘lower depressions’). Here, a methodology has been put forward to determine the possible location and principal directions of karstic conduits and underground hydrogeological watersheds based on surface morphological features of depressions in the region of the Yunnan–Guizhou Plateau, China. The methodology assumes that the contour map that results from determining the bottom elevations of karstic depressions is sufficient to determine the positions of underground hydrogeological divisions and karstic channels. Taking the two main conduits systems in Guizhou Province as an example, a digital elevation model (DEM) was derived from 1:10,000 scale topographic maps with ArcGIS 10.2 and the bottom elevations of depressions were marked. Then a contour map of the bottom elevations of the depressions was produced. The directions of conduits and underground watersheds in the research area were identified from the valleys and ridges of the contour lines. The methodology introduced in this paper offers a new means of determining the location and geometric properties of karstic conduits and extracting the spatial distribution of water systems in the region of the Yunnan–Guizhou Plateau, China. This methodology will be appropriate for investigating karstic areas with continuous crustal uplift and significant variation in the bottom elevation of depressions between the region of recharge and region of discharge.

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References

  • Ahmad I (2018) Digital elevation model (DEM) coupled with geographic information system (GIS): an approach towards erosion modeling of Gumara watershed. Ethiopia Environ Monit Assess 190:568

    Article  Google Scholar 

  • Balasubramanian A, Duraisamy K, Thirumalaisamy S, Krishnaraj S, Yatheendradasan RK (2017) Prioritization of subwatersheds based on quantitative morphometric analysis in lower Bhavani basin, Tamil Nadu, India using DEM and GIS techniques. Arab J Geosci 10:552

    Article  Google Scholar 

  • Bonacci O (1995) Ground water behavior in karst: example of the Ombla Spring (Croatia). J Hydrol 165:113–134

    Article  Google Scholar 

  • Bonacci O, Magdalenić A (2010) The catchment area of the Sv. Ivan Karst Spring in Istria (Croatia). Groundwater 31:767–773

    Article  Google Scholar 

  • Bonacci O, Andrić I (2015) Karst spring catchment: an example from Dinaric karst. Environ Earth Sci 74:6211–6223

    Article  Google Scholar 

  • Carter A (2010) Book review: Tectonic geomorphology of mountains: a new approach to paleoseismology. Geol Mag 147:156–157

    Article  Google Scholar 

  • Casciano C, Ruvo L, Volpi B, Masserano F (2004) Well test simulation through discrete fracture network modelling in fractured carbonate reservoir. Pet Geosci 10:331–342

    Article  Google Scholar 

  • Chalikakis K, Valérie P, Guerin R, Rémi V, Bosch FP (2011) Contribution of geophysical methods to karst-system exploration: an overview. Hydrogeol J 19:1169–1180

    Article  Google Scholar 

  • Chen X, Zhang Y, Zhou Y, Zhang Z (2013) Analysis of hydrogeological parameters and numerical modeling groundwater in a karst watershed, southwest China. Carbonates Evaporites 28:89–94

    Article  Google Scholar 

  • Cyr AJ, Granger DE, Olivetti V, Molin P (2014) Distinguishing between tectonic and lithologic controls on bedrock channel longitudinal profiles using cosmogenic 10Be erosion rates and channel steepness index. Geomorphology 209:27–38

    Article  Google Scholar 

  • Gao F, Liu H, Deng J (2012) Analysis on geological genesis of karst depression in Guizhou province. Subgrade Eng 165:23–26 (in Chinese)

    Google Scholar 

  • Guo Y, Ni J, Liu L, Wu Y, Guo C, Xu X (2018) Estimating aboveground biomass using Pléiades satellite image in a karst watershed of Guizhou Province. Southwestern China J Mt Sci-Engl 15:1020–1034

    Google Scholar 

  • Gürbüz E, Kazanci N, Gürbüz A (2015) Strike-slip faulting, topographic growth and block movements as deduced from drainage anomalies: the Yeşilırmak river basin, northern Turkey. Geomorphology 246:634–648

    Article  Google Scholar 

  • Hofierka J, Gallay M, Bandura P, Šašak J (2018) Identification of karst sinkholes in a forested karst landscape using airborne laser scanning data and water flow analysis. Geomorphology 308:265–277

    Article  Google Scholar 

  • Júnior OADC, Guimarães RF, David R, Montgomery AR, Gomes GAT (2014) Karst depression detection using ASTER, ALOS/PRISM and SRTM-derived digital elevation models in the Bambuí Group, Brazil. Remote Sens 6:330–351

    Google Scholar 

  • Kranjc A (2013) Classification of closed depressions in carbonate karst. Treatise Geomorphol 6:104–111

    Article  Google Scholar 

  • Lifton NA, Chase CG (1992) Tectonic, climatic and lithological influences on landscape fractal dimension and hypsometry: implications for landscape evolution in the San Gabriel Mountains, California. Geomorphology 5:77–114

    Article  Google Scholar 

  • Mendas A (2010) The contribution of the digital elevation models and geographic information systems in a watershed hydrologic research. Appl Geomat 2:33–42

    Article  Google Scholar 

  • Ministry of Railways Second Survey and Design Institute (1984) Karst engineering geology China railway press (in Chinese)

  • Pardo-Igúzquiza E, Durán-Valsero J, Rodríguez-Galiano V (2011) Morphometric analysis of three-dimensional networks of karst conduits. Geomorphology 132:17–28

    Article  Google Scholar 

  • Pardo-Igúzquiza E, Durán-Valsero J, Dowd P (2013) Automatic detection and delineation of karst terrain depressions and its application in geomorphological mapping and morphometric analysis. Acta Carsol 42:17–24

    Article  Google Scholar 

  • Pardo-Igúzquiza E, Durán-Valsero J, Robledo-Ardila P, Luque-Espinar J, Pedrera A (2015) A method for automatic detection and delineation of karst depressions and hills. Environ Earth Sci 74:7583–7592

    Article  Google Scholar 

  • Pardo-Igúzquiza E, Durán-Valsero J, Luque-Espinar J, Robledo-Ardila P (2017) Geomorphometric analysis of karst terrains. In: EuroKarst 2016, Neuchâtel. Springer, New York

    Chapter  Google Scholar 

  • Prima ODA, Echigo A, Yokoyama R, Yoshida T (2006) Supervised landform classification of Northeast Honshu from DEM-derived thematic maps. Geomorphology 78:373–386

    Article  Google Scholar 

  • Sarp G (2015) Tectonic controls of the North Anatolian Fault System (NAFS) on the geomorphic evolution of the alluvial fans and fan catchments in Erzincan pull-apart basin; Turkey. J Asian Earth Sci 98:116–125

    Article  Google Scholar 

  • Siart C, Hecht S, Holzhauer I, Altherr R, Meyer H, Schukraft G (2010) Karst depressions as geoarchaeological archives: the palaeoenvironmental reconstruction of Zominthos (Central Crete) based on geophysical prospection, sedimentological investigations and GIS. Quatern Int 216:75–92

    Article  Google Scholar 

  • Silva OLE, Bezerra FHR, Maia RP, Cazarin CL (2017) Karst landforms revealed at various scales using LiDAR and UAV in semi-arid Brazil: consideration on karstification processes and methodological constraints. Geomorphology 295:611–630

    Article  Google Scholar 

  • Sweeting M (1995) Karst terminology and karst types in China. Karst in China. In: Springer series in physical environment, vol 15, pp 42–57. Springer, Berlin

    Google Scholar 

  • Wall J, Doctor D, Terziotti S (2015) A semi-automated tool for reducing the creation of false closed depressions from a filled LIDAR-derived digital elevation model. Natl Cave Karst Res Inst Sympos 5:255–262

    Article  Google Scholar 

  • Wang L, Liu H (2006) An efficient method for identifying and filling surface depressions in digital elevation models for hydrologic analysis and modeling. Int J Geogr Inf Sci 20:193–213

    Article  Google Scholar 

  • Wei Y, Fan J, Xu X (2016) Hydrological feature extraction of the Tarim basin based on DEM in ArcGIS environment. Geo-Spatial Knowl Intell 337–341

  • Wu Q, Deng C, Chen Z (2016) Automated delineation of karst sinkholes from LiDAR-derived digital elevation models. Geomorphology 266:1–10

    Article  Google Scholar 

  • Wu Q, Liu H, Wang S, Yu B, Beck R, Hinkel K (2015) A localized contour tree method for deriving geometric and topological properties of complex surface depressions based on high-resolution topographical data. Int J Geogr Inf Sci 29:2041–2060

    Article  Google Scholar 

  • White WB (1969) Conceptual models of carbonate aquifers. Groundwater 7:15–21

    Article  Google Scholar 

  • White WB (2002) Karst hydrology: recent developments and open questions. Eng Geol 65:85–105

    Article  Google Scholar 

  • Yang X, Zhou Q, Melville M (2000) An integrated drainage network analysis system for agricultural drainage management. Part 1: The system. Agric Water Manag 45:73–86

    Article  Google Scholar 

  • Yu J, Yang L, Zhang H, Fang M, Xing F (1990) Typical study on developmental regularity of karst in China. Science Press, Beijing

    Google Scholar 

  • Zhong L, Xu M, Yang Y, Wang X (2018) The development and evolution of landform based on neotectonic movement: the Sancha river catchment in the southwestern China. J Earth Syst Sci 127:8

    Article  Google Scholar 

  • Zhu J, Taylor TP, Currens JC, Crawford MM (2014) Improved karst sinkhole mapping in Kentucky using LIDAR techniques: a pilot study in Floyds Fork Watershed. J Cave Karst Stud 76:207–216

    Article  Google Scholar 

  • Zhu X (1991) New considerations on characteristics and evolution of Fenglin karst. Carsol Sin 10(1, 2, 3): 51, 137, 171 (in Chinese)

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Acknowledgements

This research is part of the “Optimization research of the index value and its quantified method in the risk evaluation system of water bursting hazard in karst tunnels” project supported by the National Natural Science Foundation of China (no. 41202213). This work is also supported by Scientific Research Fund of Sichuan Provincial Education Department (no. 18ZA0060) and by the project “Training program for young and middle-aged key teachers” supported by Chengdu University of Technology, Sichuan province, China. The authors acknowledge the constructive and detailed comments of the reviewers and Editors toward to improve this paper. I also greatly appreciate the assistance offered by Liangqian and Huang Sishuang in the improving of the bibliography, figures, and language.

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Correspondence to Xu Mo.

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This article is a part of Topical Collection in Environmental Earth Sciences on Characterization, Modeling, and Remediation of Karst in a Changing Environment, guest edited by Zexuan Xu, Nicolas Massei, Ingrid Padilla, Andrew Hartmann, and Bill Hu.

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Yanna, Y., Mo, X., Lingmin, Z. et al. Karstic conduits and watershed identification based on the morphological characteristics of depressions in the Yunnan–Guizhou Plateau of China. Environ Earth Sci 79, 242 (2020). https://doi.org/10.1007/s12665-020-08986-5

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