Hydrochemical characterization of an acid mine drainage-affected reservoir: the Sancho Reservoir, Huelva, southwest Spain

Cerón, J. C.; Grande, J. A.; Torre, M. L. de la; Borrego, J.; Santistebán, M.; Valente, Teresa Maria Fernandes

doi:10.1080/02626667.2013.834341

Cited by 16 publications

(10 citation statements)

References 54 publications

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“…EC values at 3 m were higher than EC values measured at 0.5 m despite the temperature at 3 m being lower. This indicates that organic matter, dissolved solids, or other factors increased the EC values [40]. Temperature measurements were significantly lower at 3 m than those at 0.5 m (t (2) = −13.30, p = 0.0056) ( Table 2).…”

Section: Resultsmentioning

confidence: 89%

Autonomous In Situ Measurements of Noncontaminant Water Quality Indicators and Sample Collection with a UAV

Koparan

Koc

Privette

et al. 2019

Water

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The objective of this research was to conduct in situ measurements of electrical conductivity (EC), pH, dissolved oxygen (DO), and temperature, and collect water samples simultaneously at different depths using an unmanned aerial vehicle (UAV). The UAV system consists of a hexacopter, water sampling cartridges (WSC), and a sensor node. Payload capacity and endurance of the UAV were determined using an indoor test station. The UAV was able to produce 106 N of thrust for 10 min with 6.3 kg of total takeoff weight. The thrust-to-weight ratio of the UAV was 2.5 at 50% throttle. The decision for activating the water sampling cartridges and sensor node was made autonomously from an onboard microcontroller. System functions were verified at 0.5 m and 3.0 m depths in 6 locations over a 1.1 ha agricultural pond. Average measurements of EC, pH, DO, and temperature at 0.5 m depth were 42 µS/cm, 5.6, 8.2 mg/L, and 31 °C, while the measurements at 3 m depth were 80 µS/cm, 5.3, 5.34 mg/L, and 24 °C, respectively. The UAV-assisted autonomous water sampling system (UASS) successfully activated the WSC at each sampling location. The UASS would reduce the duration of water quality assessment and help practitioners and researchers to conduct observations with lower operational costs. The developed system would be useful for sampling and monitoring of water reservoirs, lakes, rivers, and ponds periodically or after natural disasters.

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Section: Resultsmentioning

confidence: 89%

Autonomous In Situ Measurements of Noncontaminant Water Quality Indicators and Sample Collection with a UAV

Koparan

Koc

Privette

et al. 2019

Water

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“…There are four kinds of aquifer systems in the study area, including Cenozoic unconsolidated porous aquifers with the average thickness of [11][12][13][14][15][16][17][18][19][20][21][22] …”

Section: Hydrogeological Settingmentioning

confidence: 99%

“…Hydrogeochemical methodologies have been widely used to solve hydrogeological problems in mining [11][12][13][14], such as assessing the environmental effects of acid mine drainage (AMD) [2,[15][16][17][18][19][20], tracing the pollution sources in mining areas [21][22][23], and studying the leachate of mine tailings [24][25][26][27]. In order to investigate the evolution of the compositions in mining groundwater and the groundwater quality under the influence of ADM, the PHREEQC hydrogeochemical model and the expanded Durov diagram were performed in [28].…”

Section: Introductionmentioning

confidence: 99%

Groundwater Mixing Process Identification in Deep Mines Based on Hydrogeochemical Property Analysis

Liu

Malekian

2016

Applied Sciences

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Karst collapse columns, as a potential water passageway for mine water inrush, are always considered a critical problem for the development of deep mining techniques. This study aims to identify the mixing process of groundwater deriving two different limestone karst-fissure aquifer systems. Based on analysis of mining groundwater hydrogeochemical properties, hydraulic connection between the karst-fissure objective aquifer systems was revealed. In this paper, piper diagram was used to calculate the mixing ratios at different sampling points in the aquifer systems, and PHREEQC Interactive model (Version 2.5, USGS, Reston, VA, USA, 2001) was applied to modify the mixing ratios and model the water-rock interactions during the mixing processes. The analysis results show that the highest mixing ratio is 0.905 in the C12 borehole that is located nearest to the #2 karst collapse column, and the mixing ratio decreases with the increase of the distance from the #2 karst collapse column. It demonstrated that groundwater of the two aquifers mixed through the passage of #2 karst collapse column. As a result, the proposed Piper-PHREEQC based method can provide accurate identification of karst collapse columns' water conductivity, and can be applied to practical applications.

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“…Reservoirs play an important role in the geochemical cycle of elements and influence the chemical composition of surface water (Hannan, 1979;Palmer & O'Keeffe, 1990;Ceron et al, 2014;Van Cappellen & Maavara, 2016). Dam reservoirs are the receivers of water and sediments as well as pollutants from the upstream catchment and they constitute the ecosystems that are especially exposed to the negative effects of anthropogenic pressure (Thornton, Kimmel, & Payne, 1990;Mihailova, Traykov, Tosheva, & Nachev, 2013).…”

Section: Introductionmentioning

confidence: 99%

Hydrochemical differentiation of selected reservoirs in Carpathian Mts. and Eastern European Lowland

Kijowska-Strugała¹,

Wiejaczka²,

Grigoryeva³

et al. 2020

Geogr. Pol.

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The aim of the analysis was to compare physicochemical parameters and chemical composition of two groups of artificial reservoirs, mountain and lowland ones, characterised by different parameters and functions. Three mountain artificial reservoirs (Klimkówka, Dobczyce, Czorsztyn) located in the Upper Vistula basin (Carpathian Mountains in Poland) and three lowland reservoirs (Ivankovo, Verhnevolzhskoye, Vyshnevolotzkoye) located in the Upper Volga basin (Eastern European Lowland in Russia) were selected for the study. Data for the summer season in 2009-2013 were used in the analysis. Mountain reservoirs display high water concentrations of sulphates, chlorides and biogenic nitrates, and lower concentrations of ammonium and oxygen indicator in relation to lowland reservoirs. Similar concentrations of phosphates were noticed in both the mountain and the lowland reservoirs. The hydrochemical differentiation between the individual mountain reservoirs was small, and statistically significant differences only occurred for SEC. Greater differentiation of the hydrochemical parameters was found among the lowland reservoirs. Statistically significant differences were demonstrated with regard to SEC, Cl- and NO3-.

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Hydrochemical characterization of an acid mine drainage-affected reservoir: the Sancho Reservoir, Huelva, southwest Spain

Cited by 16 publications

References 54 publications

Autonomous In Situ Measurements of Noncontaminant Water Quality Indicators and Sample Collection with a UAV

Autonomous In Situ Measurements of Noncontaminant Water Quality Indicators and Sample Collection with a UAV

Groundwater Mixing Process Identification in Deep Mines Based on Hydrogeochemical Property Analysis

Hydrochemical differentiation of selected reservoirs in Carpathian Mts. and Eastern European Lowland

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