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Journal articles on the topic 'Karst network'

Author: Grafiati

Published: 21 June 2025

Last updated: 2 August 2025

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1

An, Guanping, Yanhao Huang, Tao Huang, Yulong Cui, and Daoping Peng. "Stochastic simulation and uncertainty analysis of karst conduit network using pyKasso." E3S Web of Conferences 520 (2024): 01015. http://dx.doi.org/10.1051/e3sconf/202452001015.

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Owing to the intrinsic heterogeneity and anisotropy of karst systems, traditional hydrological exploration methods face significant challenges when investigating karst conduit networks. This study employs pyKasso for the stochastic simulation of karst conduit networks in Panzhou City, focusing on uncertainty analysis through local sensitivity analysis and Monte Carlo methods. The simulation process incorporates geological, topographic, and fracture data to create a realistic representation of the karst network. We found that the spatial configuration and characteristics of the karst network ar

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Thorn, Richard, David Drew, and Catherine Coxon. "The Hydrology and Caves of the Geevagh and Bricklieve Karsts, Co. Sligo." Irish Geography 23, no. 2 (2016): 120–35. http://dx.doi.org/10.55650/igj.1990.598.

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The paper describes the hydrology, both relict and modern, of the Geevagh and Bricklieve upland karsts in Co. Sligo. The Geevagh karst is characterised by point recharge via sinking streams running off juxtaposed non-carbonate rocks. The flow mechanism in the karst, as determined by water tracing and hydrochemical analysis, is both conduit and fissure and there is extensive cave development. The Bricklieve karst lacks an impermeable cover to concentrate flow and recharge is largely diffuse. Flow in this karst appears to be predominantly through a network of solutionally widened fissures and ca

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He, Guizhen, Mingzhao Yu, Xiang Zhao, Lei Zhang, and Lina Shen. "Karst Landscape Governance in the Guilin World Heritage Site, China." Heritage 6, no. 6 (2023): 4492–509. http://dx.doi.org/10.3390/heritage6060237.

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Sustaining karst landscape areas in World Heritage Sites under increasing human pressures and climate change is an emerging challenge. Growing evidence has highlighted the transition from traditional government-oriented regulation to the collaborative governance of different stakeholders in governing karst landscape resources. However, the complexity and dynamics of karst landscape policy and stakeholder networks are poorly understood. This study combined a legislative analysis, network analysis, and public survey to explore effective methods of karst landscape conservation in the Guilin World

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Ong, Poh Yee, and Siti Nur Fathiyah Jamaludin. "Fracture Network Analysis of Karstified Subis Limestone Build-Up in Niah, Sarawak." Applied Sciences 13, no. 22 (2023): 12110. http://dx.doi.org/10.3390/app132212110.

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Understanding complex carbonate fracture networks and karstification at various geological scales is challenging, especially with limited multi-scale datasets. This paper aims to reduce uncertainty in the fracture architecture of Central Luconia karstified reservoirs by narrowing observational gaps between seismic and well data by using the discrete fracture models of exposed limestone outcrops as analogues for the subsurface carbonate reservoir. An outcrop-based fracture network characterisation of a near-surface paleo-karst at Subis Limestone combined with lineament analysis was conducted to

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Viseur, Sophie, Johan Jouves, Arnaud Fournillon, Bruno Arfib, and Yves Guglielmi. "3D stochastic simulation of caves: application to Saint-Sébastien case study (SE, France)." Karstologia : revue de karstologie et de spéléologie physique 64, no. 1 (2014): 17–24. https://doi.org/10.3406/karst.2014.3056.

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Karst networks are complex structures that are difficult to observe or survey. However, they have a major impact on fluid flows and water resources as well as on petroleum reservoir behaviour. In such applications, geostatistical approaches are generally used to simulate several 3D models of geological structures, on which risk assessment analyses are performed in terms of reserve assessment or flow behaviour. In this paper, such an approach is proposed to simulate karst networks. The approach is based on the classical method Sequential Indicator Simulation (SIS). It relies on the decompositio

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PETROVIĆ, Aleksandar S., Jelena ĆALIĆ, and Vojkan GAJOVIĆ. "Paleodrainage network reconstruction on Miroč Mt. (Eastern Serbia)." Revista de Geomorfologie 18, no. 1 (2016): 69–76. http://dx.doi.org/10.21094/rg.2016.119.

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The paper represents a geomorphological study related to the transitional forms between fluvial and karstic process. Karst areas of eastern Serbia are distributed in a large number of relatively isolated segments, and therefore abound in contact karst features. In many cases, central parts of karst areas, away from the contacts, host a variety of relict and dry valleys. Morphological analysis of these valleys may reveal the remnants of paleodrainage networks and help to reconstruct the morphological evolution of the area. This is a case study of the karst of Miroč Mt. in north-eastern Serbia,

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Damyanova, Evelina. "Analysis of the condition of karst springs included in the National Groundwater Monitoring Network." Engineering Geology and Hydrogeology 35, no. 1 (2021): 31–39. http://dx.doi.org/10.52321/igh.35.1.31.

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Approximately 20% of the monitored points in the National Groundwater Monitoring Network (NGMN) of Bulgaria are karst springs. The number of monitored karst springs is changing over time for various reasons and currently there are 33 springs monitored continuously and 53 on monthly basis. The monitoring points are distributed over 39 karst basins around the whole country. There are between 1 and 5 monitored springs per karst basin and no monitoring points in 23 karst basins. The present analysis includes the determination of some of the main statistical characteristics of karst springs and it

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Chen, Dongqin. "Study on Early Warning of Karst Collapse Based on the BP Neural Network." Journal of Chemistry 2022 (August 5, 2022): 1–7. http://dx.doi.org/10.1155/2022/1799772.

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In order to comprehensively grasp the dynamics of karst collapse, promote the comprehensive prevention and control level of karst collapse, and prevent secondary disasters caused by lava collapse, this study presents a method of karst collapse early warning based on the BP neural network. This method does not need to set the sliding surface in the finite element calculation model. The stress of the sliding surface is fitted according to the spatial stress relationship of the deep karst layer through the improved BP neural network PID control algorithm and BP neural network algorithm, which avo

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Bodin, Jacques, Gilles Porel, Benoît Nauleau, and Denis Paquet. "Delineation of discrete conduit networks in karst aquifers via combined analysis of tracer tests and geophysical data." Hydrology and Earth System Sciences 26, no. 6 (2022): 1713–26. http://dx.doi.org/10.5194/hess-26-1713-2022.

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Abstract. Assessment of the karst network geometry based on field data is an important challenge in the accurate modeling of karst aquifers. In this study, we propose an integrated approach for the identification of effective three-dimensional (3D) discrete karst conduit networks conditioned on tracer tests and geophysical data. The procedure is threefold: (i) tracer breakthrough curves (BTCs) are processed via a regularized inversion procedure to determine the minimum number of distinct tracer flow paths between injection and monitoring points, (ii) available surface-based geophysical data an

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Sun, Jinglai, Yan Wang, Xu Wu, Xinling Wang, Hui Fang, and Yue Su. "Research on Collapse Risk Assessment of Karst Tunnels Based on BN Self-Learning." Buildings 14, no. 3 (2024): 685. http://dx.doi.org/10.3390/buildings14030685.

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The high risk of collapse is a key issue affecting the construction safety of karst tunnels. A risk assessment method for karst tunnel collapse based on data-driven Bayesian Network (BN) self-learning is proposed in this study. The finite element calculation is used to analyze the distribution law of the plastic zone of the tunnel and the karst cave surrounding rock under different combinations of parameters, and a four-factor three-level data case database is established. Through the self-learning of the BN database, a Bayesian Network model of karst tunnel collapse risk assessment with nodes

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Li, Zhi Gang, Shang De Xiao, Yi Heng Pan, and Shi Wei Lu. "The Hazard Assessment of Karst Surface Collapse Risk Zoning Based on BP Neural Network in Wuhan City." Applied Mechanics and Materials 405-408 (September 2013): 2376–79. http://dx.doi.org/10.4028/www.scientific.net/amm.405-408.2376.

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One of the main geological disasters in Wuhan City is karst surface collapse. Analytically the main elements affecting karst collapse contain Karst development, covering layer condition and hydrogeological condition. This paper aims to set up the risk zoning evaluation model about this disaster upon BP neural network theory. And then evaluate the risk zoning of karst collapse. The assessment result shows karst surface collapse of high risk in Wuhan City mainly distributes in Ruanjia Lane, Lujia Street, Justice School, Fenghuo Village,Zhongnan Steel Mill and Maotan Harbor.

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Ebuna, Daniel R., Jared W. Kluesner, Kevin J. Cunningham, and Joel H. Edwards. "Statistical approach to neural network imaging of karst systems in 3D seismic reflection data." Interpretation 6, no. 3 (2018): B15—B35. http://dx.doi.org/10.1190/int-2017-0197.1.

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The current lack of a robust standardized technique for geophysical mapping of karst systems can be attributed to the complexity of the environment and prior technological limitations. Abrupt lateral variations in physical properties that are inherent to karst systems generate significant geophysical noise, challenging conventional seismic signal processing and interpretation. The application of neural networks (NNs) to multiattribute seismic interpretation can provide a semiautomated method for identifying and leveraging the nonlinear relationships exhibited among seismic attributes. The ambi

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Chen, Min, Hanlian Qin, Yueming Liang, et al. "The phoD-Harboring Microorganism Communities and Networks in Karst and Non-Karst Forests in Southwest China." Forests 15, no. 2 (2024): 341. http://dx.doi.org/10.3390/f15020341.

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Phosphorous (P) limitation is common not only in tropical rainforest and savanna ecosystems, but also in karst forest ecosystems. Soil phoD-harboring microorganisms are essential in soil P cycles, but very little information is available about them in karst ecosystems. A total of 36 soil samples were collected from two types of forest ecosystems (karst and non-karst) over two seasons (rainy and dry), and the diversity and community structure of soil phoD-harboring microorganisms were measured. The contents of available P (AP), soil total P (TP), microbial biomass P (MBP) and the activity of al

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Fu, Han, Bihong Fu, and Pilong Shi. "An Improved Segmentation Method for Automatic Mapping of Cone Karst from Remote Sensing Data Based on DeepLab V3+ Model." Remote Sensing 13, no. 3 (2021): 441. http://dx.doi.org/10.3390/rs13030441.

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The South China Karst, a United Nations Educational, Scientific and Cultural Organization (UNESCO) natural heritage site, is one of the world’s most spectacular examples of humid tropical to subtropical karst landscapes. The Libo cone karst in the southern Guizhou Province is considered as the world reference site for these types of karst, forming a distinctive and beautiful landscape. Geomorphic information and spatial distribution of cone karst is essential for conservation and management for Libo heritage site. In this study, a deep learning (DL) method based on DeepLab V3+ network was prop

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Li, Weixuan, Song Luan, Yuqing Zhao, and Yifei Chen. "Medium- and Long-Term Hydrological Process Study in the Karst Watershed of the Lijiang River Basin." Water 16, no. 23 (2024): 3424. http://dx.doi.org/10.3390/w16233424.

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The hydrological processes in karst watersheds are influenced by various factors, including climate characteristics, underlying surface properties, and human activities. Existing watershed hydrological models primarily rely on theoretical concepts or empirical function relationships for simulation, resulting in insufficient accuracy in hydrological process analysis for study areas with limited data. The structure of artificial neural networks is similar to the hydrological process structure in karst watersheds. Based on the hydrological characteristics of the Lijiang River, a BP neural network

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Pardo-Igúzquiza, E., J. J. Durán, P. Robledo-Ardila, et al. "The karst network system of the Sierra de las Nieves (Málaga, Spain). An example of a high relief Mediterranean karst." Boletín Geológico y Minero 127, no. 1 (2016): 193–204. http://dx.doi.org/10.21701/bolgeomin.127.1.013.

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The aim of this work is the stochastic simulation of a network of karst conduits in a high relief karst system. The simulation completes the existing cave mapping provided by speleological exploration and connects the recharge area with the discharge at the karst springs. The Sierra de las Nieves karst system is a high relief Mediterranean karst that has allowed the development of a system of large conduits and caves. The system follows the typical pattern of an alpine karst system with two characteristic zones where the development of the caves is different. The first zone, with a mean altitu

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Dvanajščak, Drago, Jože Ratej, and Vojkan Jovičić. "Sustainability of Water Resources in Karst Undermined by Tunneling: A Case Example." Sustainability 14, no. 2 (2022): 732. http://dx.doi.org/10.3390/su14020732.

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Water resources in karsts are scarce due to the high cavernosity in the otherwise low-permeability limestone rock mass. The highly variable porosity and transmissivity of karst aquifers are caused by a network of channels, caverns, and caves that typically act as water-bearing, connected vessels. Tunneling in a karst environment can severely deplete an aquifer and undermine the sustainability of water resources over the long term. A research study was carried out to elaborate and develop measures for the sustainable preservation of the water resources in a Slovenian karst, in which two approxi

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Yu, Xuan, Lulu Feng, Yuan Huang, et al. "Planted Citrus Regulates the Community and Networks of phoD-Harboring Bacteria to Drive Phosphorus Availability Between Karst and Non-Karst Soils." Microorganisms 12, no. 12 (2024): 2582. https://doi.org/10.3390/microorganisms12122582.

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The phosphorus (P) availability in soils is influenced by microbes, particularly those containing the gene responsible for phosphate solubilization. The present study investigated the community structure, diversity, and co-occurrence networks of phoD-harboring bacteria in karst and non-karst citrus orchard soils across a planting duration gradient, natural forests, and abandoned land, as well as the soil total P (TP) and available P (AP) contents and enzyme activities. The soil AP contents were lower in the karst regions than in the non-karst regions, while the soil organic carbon (C; SOC), ex

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Fandel, Chloé, Ty Ferré, François Miville, Philippe Renard, and Nico Goldscheider. "Improving understanding of groundwater flow in an alpine karst system by reconstructing its geologic history using conduit network model ensembles." Hydrology and Earth System Sciences 27, no. 22 (2023): 4205–15. http://dx.doi.org/10.5194/hess-27-4205-2023.

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Abstract. Reconstructing the geologic history of a karst area can advance understanding of the system's present-day hydrogeologic functioning and help predict the location of unexplored conduits. This study tests competing hypotheses describing past conditions controlling cave formation in an alpine karst catchment, by comparing an ensemble of modeled networks to the observed network map. The catchment, the Gottesacker karst system (Germany and Austria), is drained by three major springs and a paleo-spring and includes the partially explored Hölloch cave, which consists of an active section wh

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Romanov, R. V., O. R. Kuzichkin, and G. S. Vasiliev. "Vulnerability Assessment of Karst Underground Waters in the Territory of Non-Centralized Water Supply." IOP Conference Series: Earth and Environmental Science 988, no. 4 (2022): 042064. http://dx.doi.org/10.1088/1755-1315/988/4/042064.

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Abstract This paper considers an individual approach to assessing the vulnerability of karst groundwater. It is based on the allocation of such indicators as the geological structure of the observed territory, the concentration of runoff entering the karst channels, and the precipitation regime. Due to regional climatic, hydrogeological and landscape features, a private methodology for assessing the vulnerability of karst groundwater has been developed. To assess the vulnerability of sources of non-centralized water supply, a factor is taken into account, including such indicators as lithology

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Oehlmann, S., T. Geyer, T. Licha, and M. Sauter. "Reducing the ambiguity of karst aquifer models by pattern matching of flow and transport on catchment scale." Hydrology and Earth System Sciences 19, no. 2 (2015): 893–912. http://dx.doi.org/10.5194/hess-19-893-2015.

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Abstract. Assessing the hydraulic parameters of karst aquifers is a challenge due to their high degree of heterogeneity. The unknown parameter field generally leads to a high ambiguity for flow and transport calibration in numerical models of karst aquifers. In this study, a distributed numerical model was built for the simulation of groundwater flow and solute transport in a highly heterogeneous karst aquifer in south-western Germany. Therefore, an interface for the simulation of solute transport in one-dimensional pipes was implemented into the software COMSOL Multiphysics® and coupled to th

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Oehlmann, S., T. Geyer, T. Licha, and M. Sauter. "Reducing the ambiguity of karst aquifer models by pattern matching of flow and transport on catchment scale." Hydrology and Earth System Sciences Discussions 11, no. 8 (2014): 9281–326. http://dx.doi.org/10.5194/hessd-11-9281-2014.

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Abstract. Assessing the hydraulic parameters of karst aquifers is a challenge due to their high degree of heterogeneity. The unknown parameter field generally leads to a high ambiguity for flow and transport calibration in numerical models of karst aquifers. In this study, a distributive numerical model was built for the simulation of groundwater flow and solute transport in a highly heterogeneous karst aquifer in south western Germany. Therefore, an interface for the simulation of solute transport in one-dimensional pipes was implemented into the software Comsol Multiphysics® and coupled to t

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Dandurand, Grégory, Hubert Camus, Céline Pallier, et al. "Speleogenesis challenged by new paradigms / La spéléogenèse à l’épreuve des nouveaux paradigmes." Karstologia : revue de karstologie et de spéléologie physique 79, no. 1 (2022): 45–52. https://doi.org/10.3406/karst.2022.3309.

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New paradigms, new ways of seeing and explaining the origin, evolution and functioning of karst systems have been developed since the beginning of the 21st century. Identifying and interpreting subterranean forms implies to consider the long-term scale of the reservoir, the medium-term scale of the karst network, and the short-term or even very short-term scale of the cave. We note a paradigm change from a speleogenesis limited for a long time to the scale of the network and the massif, towards a paradigm more focused either on the reservoir or on the cave.

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Guo, Fei, Jing Yang, Hu Li, Gang Li, and Zhuo Zhang. "A ConvLSTM Conjunction Model for Groundwater Level Forecasting in a Karst Aquifer Considering Connectivity Characteristics." Water 13, no. 19 (2021): 2759. http://dx.doi.org/10.3390/w13192759.

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Groundwater is an important water resource, and groundwater level (GWL) forecasting is a useful tool for supporting the sustainable management of water resources. Existing studies have shown that GWLs can be accurately predicted by combining an artificial neural network model with meteorological and hydrological factors. However, GWL data are typically geographic spatiotemporal series data, and current studies have considered only the spatial distance factor when predicting GWLs. In karst aquifers, the GWL is affected by the developmental degree of the karst, topographic factors, structural fe

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Gou, Rentao, Chengyu Jiang, Yong Liu, Chen Wang, and Yuanlin Li. "Study on Fractal Characteristics of Evolution of Mining-Induced Fissures in Karst Landform." Energies 15, no. 15 (2022): 5372. http://dx.doi.org/10.3390/en15155372.

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The karst landscape is widespread in the southern region of China. As a result of underground mining activities, the original stress equilibrium is disrupted, causing the redistribution of stress in the overlying rock layer, inducing the longitudinal fracture of mining to expand and penetrate upwards, resulting in the rupture and destabilization of the karst cave roof, thus triggering a series of engineering problems such as karst cave collapse, landslide, the discontinuous deformation of the ground surface, and soil erosion. In order to study the evolutionary characteristics of buried rock fi

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Gill, L. W., O. Naughton, and P. M. Johnston. "Modeling a network of turloughs in lowland karst." Water Resources Research 49, no. 6 (2013): 3487–503. http://dx.doi.org/10.1002/wrcr.20299.

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Wang, Yingchao, Yang Liu, Zhaoyang Li, and Wen Jiang. "A New Bayesian Network Model for the Risk Assessment of Water Inrush in Karst Tunnels." Geofluids 2022 (June 14, 2022): 1–12. http://dx.doi.org/10.1155/2022/5697710.

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Water inrush seriously restricts the safe construction of a karst tunnel. Once it occurs, it will cause serious consequences such as economic loss and casualties. Due to the complexity of an underground environment, it is difficult to calculate the probability of karst tunnel water inrush. Therefore, it is of great engineering significance to establish an effective risk assessment model. Based on the Bayesian theory, interpretation structure model, and generative adversarial network, a Bayesian network risk assessment model is established. The results show that firstly, twelve indexes selected

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González-Ramón, Antonio, Jorge Jódar, José Samsó, et al. "Hydrometeorological factors determining the development of water table cave patterns in high alpine zones. The Ordesa and Monte Perdido National Park, NE Spain." International Journal of Speleology 49, no. 3 (2020): 249–70. http://dx.doi.org/10.5038/1827-806x.49.3.2346.

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This study is focussed on the geomorphological characterization and the processes driving the evolution of the highest karst system in Western Europe, which is located in the Ordesa and Monte Perdido National Park (PNOMP), in the central-southern Pyrenees. The karst system does not seem to have a well-developed epikarst. The studied area shows a karst network of polygenic branchwork type in the vadose zone. Additionally, the explored karst conduits in the epiphreatic zone show a water table cave pattern that is different to the looping one, which is the expected cave pattern development for a

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Ma, Yuju, Liyuan Zuo, Jiangbo Gao, Qiang Liu, and Lulu Liu. "Comparing Four Types Methods for Karst NDVI Prediction Based on Machine Learning." Atmosphere 12, no. 10 (2021): 1341. http://dx.doi.org/10.3390/atmos12101341.

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As a link for energy transfer between the land and atmosphere in the terrestrial ecosystem, karst vegetation plays an important role. Karst vegetation is not only affected by environmental factors but also by intense human activities. The nonlinear characteristics of vegetation growth are induced by the interaction mechanism of these factors. Previous studies of this relationship were not comprehensive, and it is necessary to further explore it using a suitable method. In this study, we selected climate, human activities, topography, and soil texture as the response factors; a nonlinear relati

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Zeng, Yonggang, Yang Zhang, Zhongxin Hou, et al. "Research Progress of Ecological Environment Profit and Loss Analysis of Highway Road Area in Karst Landform." Journal of Life Sciences and Agriculture 1, no. 4 (2024): 1–10. https://doi.org/10.62517/jlsa.202407401.

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Karst is a kind of ecosystem with peculiar topography, special physical, chemical and biological structure and ecological function. With the continuous development of China's urbanization, the highway network has been continuously expanding and improving, the construction of highways in karst areas will inevitably damage the original local geomorphic structure and ecological environment, and the solution of the contradiction between highway construction and ecological protection has become a hot research topic nowadays. The article summarizes the research progress of ecological environment pro

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Xu, Zexuan, Bill X. Hu, and Ming Ye. "Numerical modeling and sensitivity analysis of seawater intrusion in a dual-permeability coastal karst aquifer with conduit networks." Hydrology and Earth System Sciences 22, no. 1 (2018): 221–39. http://dx.doi.org/10.5194/hess-22-221-2018.

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Abstract. Long-distance seawater intrusion has been widely observed through the subsurface conduit system in coastal karst aquifers as a source of groundwater contaminant. In this study, seawater intrusion in a dual-permeability karst aquifer with conduit networks is studied by the two-dimensional density-dependent flow and transport SEAWAT model. Local and global sensitivity analyses are used to evaluate the impacts of boundary conditions and hydrological characteristics on modeling seawater intrusion in a karst aquifer, including hydraulic conductivity, effective porosity, specific storage,

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Shi, Pengtao, Tianshu Zhang, Ziqi Liu, Jiacheng Lan, and Xin Fan. "A Vulnerable Environment Study in Karst Regions between 1991 and 2017: A Bibliometric Analysis." Applied Sciences 9, no. 24 (2019): 5339. http://dx.doi.org/10.3390/app9245339.

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In order to understand the research hotspots and the development directions in the field of vulnerable karst environment, we undertook bibliometrics citation analysis on 5425 contributions to the literature written in the range from 1991 to 2017 based on the “Web of Science” core collection citation index database. Hopefully, this work will help to set up a scientific foundation for further studies. This research considered the following factors: keywords frequency, influence of author, research hotspot, reference citation network, research institution and the evolution of research topic. It w

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Paleologos, Evan K., Irene Skitzi, K. Katsifarakis, and Nektarios Darivianakis. "Neural network simulation of spring flow in karst environments." Stochastic Environmental Research and Risk Assessment 27, no. 8 (2013): 1829–37. http://dx.doi.org/10.1007/s00477-013-0717-y.

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Singh, Anusha, Tanja Shabarova, and Paul Bulzu. "Different components of interconnected karst environment select for highly distinct microbial communities." ARPHA Conference Abstracts 5 (July 14, 2022): e89679. https://doi.org/10.3897/aca.5.e89679.

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Karst environments, formed by dissolution of rocks, present a unique opportunity to study groundwater and surface water as a single dynamic system. We aimed to explore the hydrological connections and identify shared microbiome between different components of this complex landscape (terrestrial, surface-subsurface freshwater networks and two different lake strata) on example of karst landscape at north shore of Lake Thun (CH).52 samples from soil and 87 from the freshwater network were collected during low hydrological conditions. Additionally, 43 samples from 13 different lakes across Europe

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Berthelin, Romane, Michael Rinderer, Bartolomé Andreo, et al. "A soil moisture monitoring network to characterize karstic recharge and evapotranspiration at five representative sites across the globe." Geoscientific Instrumentation, Methods and Data Systems 9, no. 1 (2020): 11–23. http://dx.doi.org/10.5194/gi-9-11-2020.

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Abstract. Karst systems are characterized by a high subsurface heterogeneity, and their complex recharge processes are difficult to characterize. Experimental methods to study karst systems mostly focus on analysing the entire aquifer. Despite their important role in recharge processes, the soil and epikarst receive limited attention, and the few available studies were performed at sites of similar latitudes. In this paper, we describe a new monitoring network that allows for the improvement of the understanding of soil and epikarst processes by including different karst systems with different

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R. V, Romanov, Kuzichkin O. R, Vasilyev G. S, and Surzhik D. I. "Scientific assessment of negative changes in the state of karst groundwater." Nexo Revista Científica 35, no. 01 (2022): 316–26. http://dx.doi.org/10.5377/nexo.v35i01.13956.

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Centralized water supply in remote settlements is often difficult or impossible, so there is a need to use a non-centralized water supply. The article develops a method for an expert assessment of the negative change in the state of underground karst waters based on a paired analysis of complex indicators of the protection of the aquifer. To assess the vulnerability of non-centralized water supply sources, five factors are used, including the geological structure of the territory, the level of surface and underground runoff, the development of the karst network, precipitation regime electrical

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Τσουκαλάς, Ν., and Κ. Παπαδοπούλου - Βρυνιώτη. "THE KARST IN ANO VLASSIA ACHAIA (GREECE) AND THE CONTRIBUTION OF OLONOS -PINDOS GEOTECTONIC UNIT ON ITS FORMATION." Bulletin of the Geological Society of Greece 36, no. 2 (2018): 1068. http://dx.doi.org/10.12681/bgsg.16910.

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The study area includes the Selinous river hydrologie basin on East Erimanthos (Olonos) Mountain, to close to Ano Vlassia village (N. Péloponnèse - Greece). It is formed at an altitude between 700 - 2.169 m and occ 'Dies an area 30 Km2. It belongs to the Olonos - Pindos geotectonic unit, which characterized by lithostratigraphic unevenness, intense folds, successive thrusts with NE - SW directions and transverse faults. Lithostratigraphic and tectonic conditions are accountable for a directed karst development with many karstic basic planes. The above research includes systematic survey in all

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Damyanova, Evelina, and Aleksey Benderev. "Characterization of the Karst water regime in the Danube catchment area (Bulgaria)." Glasnik Srpskog geografskog drustva 96, no. 1 (2016): 11–25. http://dx.doi.org/10.2298/gsgd1601011d.

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The purpose of study is to estimate the role of karst springs in the formation of the flow of the Bulgarian rivers that are right tributaries of the Danube River. The study area includes the region from the Danube River to the main ridge of the Balkan (Stara Planina), representing a major water divide that separates the Black Sea catchment area from the Aegean one. The eastern border represents the watershed between the Danube and the Black Sea hydrological zones. From a geological point of view, the northern part of the area is located on the Moesian platform and the southern part belongs to

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Batlle, José Martínez. "Drainage Rearrangement as a Driver of Geomorphological Evolution During the Upper Pleistocene in a Small Tropical Basin." Journal of Geography and Geology 11, no. 2 (2019): 1. http://dx.doi.org/10.5539/jgg.v11n2p1.

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The development of river networks in contexts where intense tectonic activity converges with great lithological variability, such as the Ocoa River Basin in the south of the Dominican Republic, usually hosts excellent examples of drainage rearrangement. This mechanism is defined as a transfer of part or all of a river&rsquo;s flow to another river. According to the process involved, drainage rearrangement may be classified in one of four categories: stream capture, river diversion, beheading and, more recently, karst piracy. The Parra River Basin (29.5 square kilometers), part of the Ocoa

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Severo-Neto, Francisco, Karoline Ceron, Mônica Ceneviva-Bastos, Alan P. Covich, and Lilian Casatti. "Fish trophic network in karst streams from Brazilian Pantanal headwaters." Neotropical Ichthyology 22, no. 3 (2024): e240018. https://doi.org/10.1590/1982-0224-2024-0018.

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Severo-Neto, Francisco, Ceron, Karoline, Ceneviva-Bastos, Mônica, Covich, Alan P., Casatti, Lilian (2024): Fish trophic network in karst streams from Brazilian Pantanal headwaters. Neotropical Ichthyology 22 (3): e240018, DOI: 10.1590/1982-0224-2024-0018, URL: https://doi.org/10.1590/1982-0224-2024-0018

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Darras, T., F. Raynaud, V. Borrell Estupina, et al. "Neural network modeling and geochemical water analyses to understand and forecast karst and non-karst part of flash floods (case study on the <i>Lez</i> river, Southern France)." Proceedings of the International Association of Hydrological Sciences 369 (June 11, 2015): 43–48. http://dx.doi.org/10.5194/piahs-369-43-2015.

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Abstract. Flash floods forecasting in the Mediterranean area is a major economic and societal issue. Specifically, considering karst basins, heterogeneous structure and nonlinear behaviour make the flash flood forecasting very difficult. In this context, this work proposes a methodology to estimate the contribution from karst and non-karst components using toolbox including neural networks and various hydrological methods. The chosen case study is the flash flooding of the Lez river, known for his complex behaviour and huge stakes, at the gauge station of Lavallette, upstream of Montpellier (4

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Parise, M., and V. Pascali. "Surface and subsurface environmental degradation in the karst of Apulia (southern Italy)." Environmental Geology 44, no. 3 (2003): 247–56. https://doi.org/10.5281/zenodo.13511679.

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(Uploaded by Plazi for the Bat Literature Project) Karst environments are highly vulnerable to a variety of degradation and pollution problems. Geology (fractured carbonate rocks), morphology (presence of a network of cavities produced by karst processes), and hydrogeology (rapid concentrated flow through fractures and conduits) of karst carbonates strongly favour the movement of contaminants towards the water table. In particular, poor quality of subsurface water can derive from polluting substances flowing at the surface, and/or by direct immission of liquid and solid waste into the water ta

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Parise, M., and V. Pascali. "Surface and subsurface environmental degradation in the karst of Apulia (southern Italy)." Environmental Geology 44, no. 3 (2003): 247–56. https://doi.org/10.5281/zenodo.13511679.

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Abstract:

(Uploaded by Plazi for the Bat Literature Project) Karst environments are highly vulnerable to a variety of degradation and pollution problems. Geology (fractured carbonate rocks), morphology (presence of a network of cavities produced by karst processes), and hydrogeology (rapid concentrated flow through fractures and conduits) of karst carbonates strongly favour the movement of contaminants towards the water table. In particular, poor quality of subsurface water can derive from polluting substances flowing at the surface, and/or by direct immission of liquid and solid waste into the water ta

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Parise, M., and V. Pascali. "Surface and subsurface environmental degradation in the karst of Apulia (southern Italy)." Environmental Geology 44, no. 3 (2003): 247–56. https://doi.org/10.5281/zenodo.13511679.

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Abstract:

(Uploaded by Plazi for the Bat Literature Project) Karst environments are highly vulnerable to a variety of degradation and pollution problems. Geology (fractured carbonate rocks), morphology (presence of a network of cavities produced by karst processes), and hydrogeology (rapid concentrated flow through fractures and conduits) of karst carbonates strongly favour the movement of contaminants towards the water table. In particular, poor quality of subsurface water can derive from polluting substances flowing at the surface, and/or by direct immission of liquid and solid waste into the water ta

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45

Parise, M., and V. Pascali. "Surface and subsurface environmental degradation in the karst of Apulia (southern Italy)." Environmental Geology 44, no. 3 (2003): 247–56. https://doi.org/10.5281/zenodo.13511679.

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Abstract:

(Uploaded by Plazi for the Bat Literature Project) Karst environments are highly vulnerable to a variety of degradation and pollution problems. Geology (fractured carbonate rocks), morphology (presence of a network of cavities produced by karst processes), and hydrogeology (rapid concentrated flow through fractures and conduits) of karst carbonates strongly favour the movement of contaminants towards the water table. In particular, poor quality of subsurface water can derive from polluting substances flowing at the surface, and/or by direct immission of liquid and solid waste into the water ta

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46

Lin, Zhixin, Zongsheng Huang, Meiquan Wang, Huiwen Xiang, Yuanduo Chen, and Shaowei Lu. "Soil Nutrient Profiles in Three Types of Rocky Fissure Network Habitats of Typical Karst Formations in China: A Maolan World Heritage Perspective." Forests 15, no. 12 (2024): 2101. http://dx.doi.org/10.3390/f15122101.

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Amid global desertification, this study investigates karst ecosystems; analyzing soil’s physiological and ecological properties within intricate fissure networks supporting plant root growth. This study investigates soil nutrients in three types of rocky fissure network habitats in Maolan, through field surveys and experimental measurements. Significant variability was found across habitats. The quantities of organic carbon, total nitrogen, available nitrogen, available phosphorus, and available potassium were highest in Type I soil, followed by Type III; and were lowest in Type II. Total phos

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Eng, Tan Yan, Choong Chee Meng, Muhammad Amzar Bin Aznan, et al. "Structural and Karst Studies Using 3D Digital Outcrop Model: A Case Study in Gunung Keriang, Kedah, Peninsular Malaysia." Indonesian Journal on Geoscience 11, no. 3 (2024): 325–38. http://dx.doi.org/10.17014/ijog.11.3.325-338.

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A digital outcrop model (DOM) of the Permo-Triassic limestone of Gunung Keriang, Kedah, was constructed for structural analysis and karst study. Structural analysis of beddings and fractures within the DOM revealed that the limestone beds are characterized by gently inclined planes with NE ̶ SW and NW ̶ SE strikes, forming an upright N ̶ S trending synclinal fold, and being cross-cut by four steeply-dipping fracture sets (NE ̶ SW, NW ̶ SE, N ̶ S, and E ̶ W). The synthesis of these fracture sets indicates that the NW ̶ SE and NE ̶ SW fractures form a conjugate pattern suggestive of E ̶ W shorte

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Bočić, Neven, Mladen Pahernik, and Andrej Mihevc. "Geomorphological significance of the palaeodrainage network on a karst plateau: The Una–Korana plateau, Dinaric karst, Croatia." Geomorphology 247 (October 2015): 55–65. http://dx.doi.org/10.1016/j.geomorph.2015.01.028.

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Dokmanovic, Petar, and Veljko Marinovic. "Groundwaters of the "Valjevo karst" area (Western Serbia)." Annales g?ologiques de la Peninsule balkanique 82, no. 1 (2021): 47–58. http://dx.doi.org/10.2298/gabp210311002d.

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?Valjevo karst? is an area of about 780 km2 in a broader sense, while the uncovered karstified limestone makes about 330 km2. It is a part of the Inner Dinarides (Western Serbia). In the litho-stratigraphic view, the karstified limestones of Middle?Upper Triassic dominate, in which karst aquifers are formed. Analysis and systematization of the available data of hydrogeological and other relevant research is carried out. A branched network of groundwater traces between swallow holes and discharge points is presented as well as main features of sixteen karst springs (or scattered discharge zones

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Li, Qiaochu, and Peng Zhang. "Study on disaster-causing probability evaluation of gas pipeline in karst area." PLOS ONE 20, no. 2 (2025): e0316820. https://doi.org/10.1371/journal.pone.0316820.

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In this paper, a disaster-causing probability evaluation method of gas pipelines in karst areas based on disaster system theory and vulnerability theory is proposed. The hazard evaluation index system of gas pipeline disaster events in karst areas is established from three aspects: the activity of disaster-prone environment, the risk of disaster factors and the vulnerability of disaster-bearing bodies. Combined with the advantages of information transmission and updating of the Bayesian network model, the hazard probability of disaster events is gradually calculated from a multi-level perspect

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