Effects of sinuosity factor on hydrodynamic parameters estimation in karst systems: a dye tracer experiment from the Beyyayla sinkhole (Eskişehir, Turkey)

Aydın, Harun; Ekmekçi, Mehmet; Soylu, Mehmet Evren

doi:10.1007/s12665-013-2777-1

Cited by 11 publications

(4 citation statements)

References 37 publications

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“…Although tortuosity could range from 1 to 3 (Field, 2002;Worthington, 1991), the optimized value of 1.44 is within the range of suggested values of 1.27 (Aydin et al, 2014), 1.3 to 1.5 (Field, 2002) and 1.7 (Assari and Mohammadi, 2017).…”

Section: Assessment Of the Optimized Parameter Valuesmentioning

confidence: 61%

Optimization of the hydrodynamic characteristics of a karst conduit with CFPv2 coupled to OSTRICH

Mohammadi

Illman

Karimi

2018

Journal of Hydrology

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Section: Assessment Of the Optimized Parameter Valuesmentioning

confidence: 61%

Optimization of the hydrodynamic characteristics of a karst conduit with CFPv2 coupled to OSTRICH

Mohammadi

Illman

Karimi

2018

Journal of Hydrology

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“…However, actual transport can be broadly varied by the different timescales ranging from an event to seasonal and/or inter-annual timescales (e.g., Doummar et al, 2018;Luo et al, 2024;Remondi et al, 2018Remondi et al, , 2019Zhang et al, 2020a). As a matter of fact, the same shape for BTC might not actually be reproduced again if those particular conditions (both hydrological and physicochemical) at that particular timescale are not meet (e.g., Aydin et al, 2014;Chu et al, 2021;Kogovsek & Petric, 2014;Morales et al, 2007Morales et al, , 2018Ravbar et al, 2012, among others). Therefore, the system conceptualization is restricted to the certain timescales and might not properly represent the overall karst transport dynamics especially when the hydrological or (biogeo)chemical conditions change or vary temporarily.…”

Section: System Conceptualization Considering Data Collection and Sys...mentioning

confidence: 99%

Karst water resources in a changing world: Review of solute transport modelling approaches

Çallı,

Chiogna,

Bittner

et al. 2024

Preprint

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Karst water resources are valuable freshwater sources for around 10 % of the world population. Nonetheless, anthropogenic factors and global changes have been seriously deteriorating the karst water quality and dependent ecosystems. Solute transport models are powerful tools to monitor, control, and manage the water quality and dependent ecosystem functioning. By representing and predicting the spatiotemporal behavior of solute migration in karst systems, the transport models enhance our understanding about the karst transport processes, thus enabling us to explore contamination risks and potential outcomes. This paper reviews the current state of knowledge on the modelling of solute transport processes in karst aquifers, thereby unveiling the fundamental challenges underlying a successful karst transport modelling. We discuss to what extent and in what ways we can handle these challenges and derive the key challenges and directions for reliable modelling of transport processes in karst systems in the present context of global changes.

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“…The analysis of the results of the fluorometer recording was then processed using the help of QTRACER2 software [10]. The software is able to calculate and estimate the flow properties of underground rivers quantitatively [10], which includes the average flow velocity, Reynold number and recovery value.…”

Section: Artificial Tracer Testsmentioning

confidence: 99%

“…The analysis of some of the transport parameters using QTRACER2 in the Banteng Cave system is presented in detail in Table 2. The average velocity is a measure by which most of the mass of the substance moves in the channel [10], in this case it is also known as advection. Based on the calculation, the value of advection during the tracer test is 1.18 km/day.…”

Section: Fig 3 Btc Of the Surupan Cave-banteng Cavementioning

confidence: 99%

Identification of Karst Underground River Catchment Areas with Artificial Tracer Tests and Water Balance in Banteng Cave Springs (Karst Gombong Selatan, Central Java)

et al. 2021

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The karst hills of Gombong Selatan have abundant potential water resources, especially in locations that have underground springs and rivers. The connectivity between the subsurface passageways that is difficult to know can threaten the potential of water resources, one of which is due to pollution caused by uncontrolled human activities. Therefore, identification of catchment systems and boundaries of water catchment areas in karst aquifers is needed that can contribute to sustainable water resources management policies. This catchment identification needs to be conducted because previous studies have never explored the eastern side of this karst area. This study aims to (1) define the underground river flow connectivity (upstream-downstream) of Banteng Cave; and (2) limiting the water catchment area of Banteng Cave. The method used to determine the subsurface connectivity system was carried out through an artificial tracer test, while the catchment area was delineated using a water balance approach. The results showed that the underground river of Banteng Cave has connectivity with Lake Blembeng, as evidenced by a change in watercolour after the tracer test and breakthrough curve (BTC) analysis of the tracing test results. BTC analysis shows that the Banteng Cave passageway has one main passage and does not have a tunnel branch. The estimated area of the Banteng Cave catchment used a water balance approach, which is 141.73 hectares. The Banteng Cave karst catchment conditions are dominated by the formation of valleys and karst cones accompanied by the appearance of valleys and karst hills that are quite evenly distributed, indicating that the Banteng Cave karst catchment is included in the advanced karst development phase. Furthermore, this research contributes significantly to increase knowledge regarding the characteristics of void karst development in aquifers which in the future are very important for determining water resources management policies.

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Effects of sinuosity factor on hydrodynamic parameters estimation in karst systems: a dye tracer experiment from the Beyyayla sinkhole (Eskişehir, Turkey)

Cited by 11 publications

References 37 publications

Optimization of the hydrodynamic characteristics of a karst conduit with CFPv2 coupled to OSTRICH

Optimization of the hydrodynamic characteristics of a karst conduit with CFPv2 coupled to OSTRICH

Karst water resources in a changing world: Review of solute transport modelling approaches

Identification of Karst Underground River Catchment Areas with Artificial Tracer Tests and Water Balance in Banteng Cave Springs (Karst Gombong Selatan, Central Java)

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