Hydrological modeling of a watershed affected by acid mine drainage (Odiel River, SW Spain). Assessment of the pollutant contributing areas

Galván, L.; Álvarez, Manuel Olías; Cánovas, Carlos Ruiz; Sarmiento, Aguasanta Miguel; Nieto, José Miguel

doi:10.1016/j.jhydrol.2016.06.005

Cited by 25 publications

(14 citation statements)

References 39 publications

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“…The SWAT model is a semi-distributed hydrological model based on physical mechanisms. It has been successfully applied to watershed research in different countries and regions and is one of the most widely used hydrological models for evaluating water resources in different types of basins globally [16][17][18][19][20][21]. For example, Pulighe et al [22] used the SWAT model to predict the runoff and nutrient load of a Mediterranean semiarid small watershed, and the evaluation results from the model were found to be consistent with observed values.…”

Section: Introductionmentioning

confidence: 93%

Hydrological process simulation in Manas River Basin using CMADS

Yang

et al. 2020

Open Geosciences

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The inability to conduct hydrological simulations in areas that lack historical meteorological data is an important factor limiting the development of watershed models, understanding of watershed water resources, and ultimate development of effective sustainability policies. This study focuses on the Manas River Basin (MRB), which is a high-altitude area with no meteorological stations and is located on the northern slope of the Tianshan Mountains, northern China. The hydrological processes were simulated using the China Meteorological Assimilation Driving Datasets for the SWAT model (CMADS) using the Soil and Water Assessment Tool (SWAT) model. Simulated runoff was corrected using calibration/uncertainty and sensitivity program for the SWAT. Through parameter sensitivity analysis, parameter calibration, and verification, the Nash–Sutcliffe efficiency (NSE), adjusted R-square ({R}_{\text{adj}}^{2}), and percentage bias (\text{PBIAS}) were selected for evaluation. The results were compared with statistics obtained from Kenswat Hydrological Station, where the monthly runoff simulation efficiency was \text{NSE}\hspace{.25em}=0.64, {R}_{\text{adj}}^{2}\hspace{.25em}=0.69, and \text{PBIAS}\hspace{.25em}=\mbox{--}0.9, and the daily runoff simulation efficiency was \text{NSE}\hspace{.25em}=0.75, {R}_{\text{adj}}^{2} = 0.75, \text{PBIAS} = −1.5. These results indicate that by employing CMADS data, hydrological processes within the MRB can be adequately simulated. This finding is significant, as CMADS provide continuous temporal, detailed, and high-spatial-resolution meteorological data that can be used to build a hydrological model with adequate accuracy in areas that lack historical meteorological data.

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Section: Introductionmentioning

confidence: 93%

Hydrological process simulation in Manas River Basin using CMADS

Yang

et al. 2020

Open Geosciences

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“…Measurement periods in the reservoir were from 4 June 2009 to 3 February 2010; 18 June to 10 October The Olivargas Reservoir is fitted by three main effluents: the Olivargas, Los Peces and Herrerito streams ( Figure 1b). The main channel is the Olivargas River, which, in the rainy season (October to April), contributes more than 90% of the incoming water [28]. The geology of the catchment area is made up of metamorphic siliciclastic rocks without carbonates [29].…”

Section: On-site Measurementsmentioning

confidence: 99%

“…The river flow database was generated with the SWAT code. A more detailed description of the SWAT model application to the region can be found in [28,35,36]. -Inflow water quality:…”

Section: Data Sourcesmentioning

confidence: 99%

Reconstruction of an Acid Water Spill in a Mountain Reservoir

Jofre-Meléndez

Torres

Ramos-Arroyo

et al. 2017

Water

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The Olivargas Reservoir is located in a remote and scarcely monitored area in the Odiel River Basin (Southwest Spain) and is used for domestic, agricultural and mining water supplies. In contrast with highly monitored reservoirs, this paper explores the application of the CE-QUAL-W2 model, that was designed by Cole and Wells in 2005, to a poorly monitored reservoir and the utility of the results obtained. The model satisfactorily reproduced the water head measured continuously over three years, temperature (T), total dissolved solids (TDS), dissolved oxygen (DO) and pH measured bimonthly in a depth profile near the dam. A significant increase in TDS and decrease in DO and pH profiles were observed for four months, especially in the hypolimnion. The model reproduced changes in the parameters by assuming the occurrence of an acid water spill into the reservoir. A comparison of calculated results and measured TDS and DO prompted the conclusion that the spill consisted of approximately 3000 t of TDS (mainly sulfates) and 26 t of Fe(II) flowing into the reservoir for approximately 15 days at rates of approximately two and 0.02 kg/s, respectively.Water 2017, 9, 613 2 of 15 applications are based on a broad understanding of reservoir geometry and time-series data on flow, temperature profiles and chemical and biological quality.Many small reservoirs (<50 hm 3 ), however, exist in remote and mountainous areas. They supply water to small communities, and there is rarely accurate monitoring or complete datasets on their physical, chemical and biological parameters. For such communities, water resource management is just as necessary, but the application of the conventional W2 can be challenging and has yet not been explored.The present work describes the calibration of the W2 model for a small reservoir with scarce monitoring in the upper basin of the Odiel River (in Southwest Spain). This region is known for its mining activity, and water from the reservoir is used for domestic consumption, agriculture and mining. As the only form of surveillance, a depth profile of temperature (T), electric conductivity (EC), dissolved oxygen (DO), pH and oxidation-reduction potential (ORP) was taken every two months close to the dam of the reservoir from June 2009 to December 2012. All these data were obtainable by the user without permanent stations or monitoring programs. Besides, an anomalous EC, DO and pH values were detected in one surveillance campaign and were attributed to a possible mining spill.For the reconstruction and evaluation of a possible pollution event, a W2 model was built and calibrated with the data from the bimonthly profiles. In contrast with the highly detailed models on highly monitored reservoirs, this paper explores the application of W2 to a poorly monitored reservoir and the utility of the results obtained.

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“…Although the damming of rivers constrains the delivery of sediments to the sea (Walling, 2006), extensive human land use significantly alters sediment-loading regimes (Thrush et al, 2004). Moreover, point sources of pollutants (e.g., mining) have affected the quality and the quantity of the downstream flow of suspended sediment locally in many places (Galván, Olías, Cánovas, Sarmiento, & Nieto, 2016;Magris, Marta-Almeida, Monteiro, & Ban, 2019), further compounding the problem.…”

Section: Introductionmentioning

confidence: 99%

A meta‐analysis reveals global patterns of sediment effects on marine biodiversity

Magris

Ban

2019

Global Ecol Biogeogr

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Aim Sediment disturbances are important threats affecting marine biodiversity, but the variety of biological responses has not yet been synthesized. Here, we collate all available information to compare the extent of impacts across different taxonomic groups, habitat types and pathways of impact (light attenuation, suspended sediment and sedimentation). Location Global. Time period Data collected from 1979 to 2017. Major taxa studied Corals, fishes, seagrasses, sponges, macroalgae, ascidians, bryozoans, crustaceans, echinoderms, molluscs and polychaetes. Methods We used meta‐analyses to evaluate the effects of sediments across 842 observations found in 110 publications. We also evaluated some of the biological and methodological factors that could explain the variable effects observed in different studies. Results We found a significant negative effect of sediments on behavioural responses of species, reproduction and recruitment processes, the morphology of organisms, physiology, community abundance and diversity, and species interactions. In contrast, the overall effect on the abundance of individual species was statistically non‐significant and there was a strong positive effect on abundance for sponge and polychaete species. Many individual studies described physiological effects on coral reefs, but the effects on the diversity of soft‐bottom and coral reef communities were particularly detrimental. Phototrophic species were generally more negatively impacted by sediments than heterotrophs, driven by strong physiological responses in crustose coralline algae and seagrasses. Additionally, species with limited mobility were more vulnerable to sediment disturbances than highly mobile species. Sedimentation alone triggered more consistently negative effects on most biological responses than light depletion and suspended sediments. We found evidence for increased impacts on community diversity when more than one pathway of impact was present, indicating that these disturbances can disrupt whole ecosystems. Main conclusions Our meta‐analysis provided, for the first time, strong quantitative support of negative effects of sediments on marine biodiversity. Taxonomic groups, habitat types and life‐history characteristics were most influential in determining the biological responses to sediment disturbances, highlighting the importance of an ecosystem‐based approach when fully accounting for the impacts of sediments.

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Hydrological modeling of a watershed affected by acid mine drainage (Odiel River, SW Spain). Assessment of the pollutant contributing areas

Cited by 25 publications

References 39 publications

Hydrological process simulation in Manas River Basin using CMADS

Hydrological process simulation in Manas River Basin using CMADS

Reconstruction of an Acid Water Spill in a Mountain Reservoir

A meta‐analysis reveals global patterns of sediment effects on marine biodiversity

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