Geochemical evidence of water source characterization and hydrodynamic responses in a karst aquifer

Bicalho, C. C.; Batiot‐Guilhe, Christelle; Seidel, J.L.; Exter, Sandra van; Jourde, Hervé

doi:10.1016/j.jhydrol.2012.04.059

Cited by 74 publications

(19 citation statements)

References 40 publications

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“…Note that a uniform distribution can still be represented by a beta distribution with shape parameters α = β = 1. Indeed, from Equations (39) and (38) we have…”

Section: Estimation Uncertaintymentioning

confidence: 99%

Elevation Angle Estimations of Wide-Beam Acoustic Sonar Measurements for Autonomous Underwater Karst Exploration

Breux

Lapierre

2020

Sensors

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This paper proposes a solution for merging the measurements from two perpendicular profiling sonars with different beam-widths, in the context of underwater karst (cave) exploration and mapping. This work is a key step towards the development of a full 6D pose SLAM framework adapted to karst aquifer, where potential water turbidity disqualifies vision-based methods, hence relying on acoustic sonar measurements. Those environments have complex geometries which require 3D sensing. Wide-beam sonars are mandatory to cover previously seen surfaces but do not provide 3D measurements as the elevation angles are unknown. The approach proposed in this paper leverages the narrow-beam sonar measurements to estimate local karst surface with Gaussian process regression. The estimated surface is then further exploited to infer scaled-beta distributions of elevation angles from a wide-beam sonar. The pertinence of the method was validated through experiments on simulated environments. As a result, this approach allows one to benefit from the high coverage provided by wide-beam sonars without the drawback of loosing 3D information.

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“…Note that a uniform distribution can still be represented by a beta distribution with shape parameters α = β = 1. Indeed, from Equations (39) and (38) we have…”

Section: Estimation Uncertaintymentioning

confidence: 99%

Elevation Angle Estimations of Wide-Beam Acoustic Sonar Measurements for Autonomous Underwater Karst Exploration

Breux

Lapierre

2020

Sensors

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“…Since the sources of recharge in small and medium karst groundwater systems are often concentrated in a certain area, the difference in runoff pathways is the main reason for differences in conductivity and discharge [8,13,29]. Groundwater runoff components that rapidly pass through karst conduits and large-scale fractures are characterized by short stagnation periods, weak interaction with rocks, low conductivity, and large discharge [14,29,30].…”

Section: Calculation Of Groundwater Runoff Componentsmentioning

confidence: 99%

“…The conductivity is a measure of the ability of water to pass an electrical current; it reflects the amount of total dissolved solids in the water, which in karst water systems is controlled mainly by calcium carbonate equilibria [12]. Rocks of different ages and lithology in the groundwater systems have different dissolution resistances and can provide different ion values to water, so the water ion balance varies from different system [13][14][15]. Hydrogeochemical modeling was often applied to recreate genesis and determine groundwater flow routes [16][17][18], but it was costly for the data.…”

Section: Introductionmentioning

confidence: 99%

“…Each peak represents a different water source and frequency, which can also reflect the degree of karstification [23]. This method has been used in several case studies of karst groundwater systems [13,25,26]. Although this method can determine the frequency of different groundwater runoff components in the karst water system, quantification of the contribution of each component to total water volume remains problematic.…”

Section: Introductionmentioning

confidence: 99%

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Method for Identifying and Estimating Karst Groundwater Runoff Components Based on the Frequency Distributions of Conductivity and Discharge

Wang

Chen

Yan

et al. 2019

Water

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Identification and estimation of groundwater runoff components in karst groundwater systems to improve understanding of karst water circulation and water-rock interactions is essential for water resources assessment and development. A Gaussian mixture model is presented for identifying and estimating karst groundwater runoff components based on the frequency distributions of conductivity and discharge. Successful application of this method in the Heilongquan karst spring in South China showed that groundwater runoff components can be divided into 6–8 grades, corresponding to the grades of groundwater in karst fissures. The conductivity and discharge thresholds dividing fast and slow flow were determined to be approximately 300 μS cm−1 and 0.3 m3 s−1, respectively, with fast flow exhibiting lower conductivity and larger discharge. On an annual basis, fast flow occurred 9% of the time and accounted for 35% of total water volume. The results of the method compared favorably to that of hydrograph recession analysis. Estimation of groundwater runoff components based on frequency distributions of conductivity and discharge provides a novel alternative method for the quantitative evaluation of karst water resources.

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“…During the Mediterranean long dry summer months, karst springs provide fresh high quality water, which has been an important resource for human development in this region since antiquity [3].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Minimum Karst Spring Discharge Using a Simple Rainfall-Input Model: The Case Study of Capodacqua di Spigno Spring (Central Italy)

Sappa

Filippi

Iacurto

et al. 2019

Water

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The increasing occurrence of widespread drought phenomena is a global environmental emergency, especially for the effects of ongoing climate change on groundwater availability. Dry years and extreme temperatures are common drivers of current climate impacts all over the world, including, for example, the freshwater supply for drinking and agriculture purposes, ecosystems, forestry, health, etc. In this frame, to ensure temporal water availability in water-stressed areas, sustainable groundwater management is an increasing challenge. Most groundwater in the South-East Latium Region, Central Italy, as in the whole Apennine Mountains chain, is stored in karst aquifers. In this area important water resources are present, but even here in the last decades they are affected by groundwater depletion as a consequence of occurring drought events, the upward trend in the global average temperature and the increase in groundwater extraction. Due to the lack of flow rate data of springs in many areas of Italy, spring response modeling could be a useful tool for supporting proper water resource management. Several research studies proposed methods based on relationships between spring discharges and rainfall data. The goal of this paper is to propose a simple linear model, based on rainfall-discharge cross correlations, in order to be able to simulate the effects of variation in rainfall on water resource connected Capodacqua di Spigno Spring minimum discharge. The results obtained using the developed model has been compared to an existing method that uses the Standard Precipitation Index (SPI) for the estimation of the minimum annual spring discharge.

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Geochemical evidence of water source characterization and hydrodynamic responses in a karst aquifer

Cited by 74 publications

References 40 publications

Elevation Angle Estimations of Wide-Beam Acoustic Sonar Measurements for Autonomous Underwater Karst Exploration

Elevation Angle Estimations of Wide-Beam Acoustic Sonar Measurements for Autonomous Underwater Karst Exploration

Method for Identifying and Estimating Karst Groundwater Runoff Components Based on the Frequency Distributions of Conductivity and Discharge

Evaluation of Minimum Karst Spring Discharge Using a Simple Rainfall-Input Model: The Case Study of Capodacqua di Spigno Spring (Central Italy)

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