Baseflow index assessment and master recession curve analysis for karst water management in Kakap Spring, Gunung Sewu

Fatchurohman, Hendy; Adji, Tjahyo Nugroho; Haryono, Eko; Wijayanti, Pipit

doi:10.1088/1755-1315/148/1/012029

Cited by 11 publications

(6 citation statements)

References 16 publications

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“…The methodology used to derive aquifer parameters from a recession curve is not a novelty. In fact, there are numerous examples in the literature in which the recession curve of springs [63,[66][67][68] or stream baseflow [69][70][71][72] are used to infer aquifer characteristics. Recession curve interpretation is mainly used in karstic contexts, but it can be also used to characterize other types of aquifers [73].…”

Section: Steady State Calibrationmentioning

confidence: 99%

Numerical Modelling of the Mulino Delle Vene Aquifer (Northern Italy) as a Tool for Predicting the Hydrogeological System Behavior under Different Recharge Conditions

Petronici

Pujades

Jurado

et al. 2019

Water

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Water scarcity periods will increase in frequency and magnitude in the near future, especially in Mediterranean regions, and proper groundwater management has been recognized as a key issue to mitigate possible impacts. In this context, numerical models acquire a special relevance to quantify the availability of water resources and predict their behavior under changing climate conditions. This work shows the procedure followed to model a mountainous fractured aquifer located in the northern Apennines (Italy) using an open source code. This aquifer feeds springs with an average discharge of about 96.8 L/s. Even though they are not exploited at the moment, these springs might represent a relevant resource of freshwater for public water supply and are essential for ecosystem sustainment. The main limitation faced to model the aquifer in a realistic way is the lack of data, which hinders the calibration of the model. A nonconventional procedure was followed to obtain information on the hydraulic parameters. The hydraulic conductivity is computed from a steady-state calibration for which a limited number of groundwater head observations are available, whilst information concerning the storage coefficient is obtained analytically from the spring discharge recession curve. Finally, the model is used for predicting the system behavior under different groundwater recharge scenarios. Numerical simulations and analytical approximations reveal that the studied aquifer can provide fresh water under different groundwater recharge conditions and has the capacity to smooth the effects of short drought periods, representing an option for water management strategies in the region.

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Section: Steady State Calibrationmentioning

confidence: 99%

Numerical Modelling of the Mulino Delle Vene Aquifer (Northern Italy) as a Tool for Predicting the Hydrogeological System Behavior under Different Recharge Conditions

Petronici

Pujades

Jurado

et al. 2019

Water

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“…The recession curve is defined as the distribution of the flood hydrograph after the absence of rain so that the karst aquifer releases its storage. The nature of this release corresponds to what is stored in voids of different sizes [6]. The concept of releasing the storage component from the aquifer media was put forward by [7], who assumed that the aquifer is a water storage medium after there is no rain, releasing the three storage components according to a function of time.…”

Section: Introductionmentioning

confidence: 99%

Flood hydrograph parameters in the Pindul underground river, Gunungkidul, to characterise the release of stored water from karst aquifers

Tastian

Adji

Cahyadi

2022

IOP Conf. Ser.: Earth Environ. Sci.

Self Cite

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This research was conducted in the Pindul underground river, a cave tubing tourism site in Gunungsewu Karst, Indonesia. The purpose of this study is to identify flood hydrograph parameters that can be used to characterise how karst aquifer release groundwater storage. The recording of water level fluctuations was carried out with the installation of HOBO U20L-02 (November 2020-August 2021). The discharge measurement was carried out 20 times to create a stage-discharge rating curve. Furthermore, eleven flood events were selected to calculate the recession constant of diffuse (Kb), fissure (Ki), conduit (Kc), time to peak (Tp), and time to baseflow (Tb). The results of the calculation of the hydrograph parameters show the number Kb=0.996, which indicates the slow release of groundwater storage supported by the Tb value = 20.72 hours (long enough). Compared with Kb and Tb values in other karst springs in Java, the Pindul underground river has a slightly slower than average releasing of groundwater storage, although its Tb value is shorter than the average for other karst springs. Meanwhile, based on the Kc value (0.429), the Pindul underground river is faster in releasing its conduit flow which is strengthened by a reasonably short Tp data (3.1 hours).

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“…A summary of the quantitative and qualitative studies performed on karst groundwater is given in Table 1. According to Table 1, the quantitative methods for analyze the characteristics of karst aquifers adopted in the literature including: spring hydrograph modeling, e.g., by presenting a simple conceptual model of karst system (Wu et al 2019;Shirafkan et al 2021); spring recession analysis (Kovács et al 2015;Tang et al 2016;Nurkholis et al 2019;Olarinoye et al 2021;Chang et al 2021); estimation of fast-flow and baseflow recession coefficients (Nurkholis et al 2019;Olarinoye et al 2021); hydrograph separation (e.g., recurrent digital filtering) (Fatchurohman et al 2018), determination of karstification degree of karst aquifer (e.g., Mangin's approach) (Fatchurohman et al 2018;Nurkholis et al 2019;Shamsi et al 2019), hydrogeological simulation of karst system (using spring hydrograph analysis) (Kovács et al 2015;Hosseini et al 2017;Xu et al 2018;Torresan et al 2020); and statistical modeling the relationship between precipitation and discharge (Hosseini et al 2017;Chang et al 2021). As reveals, numerous studies have employed recession analyses of karst spring hydrograph to characterize karst aquifers, evaluate aquifer properties, and predict low-flow and estimate baseflow parameters.…”

Section: Introductionmentioning

confidence: 99%

Quantitative and Qualitative Methods for the Characterization of Karst Springs (case study: Lorestan province, Zagros Mountain, Iran)

Geravand

Hosseini

Maghsoudi

et al. 2022

Preprint

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Karst groundwater resources in the Zagros Mountains are vital for supplying of different demands in the region which need to sustainable management and protection. Quantitative and qualitative characterization of karst aquifers in this region were understudied due to lack of site-specific logging-data and speleological investigations. In this study, a state-of-the-art of the statistical methods developed to characterize karst aquifer based on analyses of the spring recession hydrograph and spring water quality are presented. These methods including Manging’s method for classification of karst aquifers, relationships of precipitation and discharge data, groundwater quality index (GQI), hydrochemical diagrams (Piper, Durov and Gibbs), and Saturation index (SI), Chloro-Alkaline indices (CAI). 42 major karst springs mainly located in folded part of Zagros region (western Iran) are selected for application of the reviewed methods. Results indicated that the saturated zone exerts almost main control over the discharge of 76% of the studied springs. The base-flow contributes as between 80.0% to 100% of total water storage in the study aquifers. 78.5% of the studied aquifers have a high karstification degree. An insignificant lag-time is observed between the precipitation on the karst basin and spring discharge. The hydrochemical diagrams show that the waters are dominated by HCO3 and Ca and the majority of the waters are alkaline, with originate from silicate minerals weathering. Such repeatable methods adopted in this study can provide crucial information of the karst aquifers, especially those suffer scarcity of aquifer hydrodynamic data.

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Baseflow index assessment and master recession curve analysis for karst water management in Kakap Spring, Gunung Sewu

Cited by 11 publications

References 16 publications

Numerical Modelling of the Mulino Delle Vene Aquifer (Northern Italy) as a Tool for Predicting the Hydrogeological System Behavior under Different Recharge Conditions

Numerical Modelling of the Mulino Delle Vene Aquifer (Northern Italy) as a Tool for Predicting the Hydrogeological System Behavior under Different Recharge Conditions

Flood hydrograph parameters in the Pindul underground river, Gunungkidul, to characterise the release of stored water from karst aquifers

Quantitative and Qualitative Methods for the Characterization of Karst Springs (case study: Lorestan province, Zagros Mountain, Iran)

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