Publicacións

@article{juncosa_thermo-hydrochemical_2024,

title = {Thermo-hydrochemical modelling of vertical profiles of the formed Meirama Lake (NW Spain)},

author = {Ricardo Juncosa-Rivera and Jordi Delgado-Martín and José Luis Cereijo-Arango and Pablo Rodríguez-Vellando-Fernández-Carvajal},

url = {https://doi.org/10.1007/s40899-024-01153-9},

doi = {10.1007/s40899-024-01153-9},

issn = {2363-5045},

year  = {2024},

date = {2024-09-01},

urldate = {2024-09-01},

journal = {Sustainable Water Resources Management},

volume = {10},

number = {5},

pages = {172},

abstract = {The use of modelling techniques for the study and thermohydrochemical characterisation of lakes is conditioned by the availability of data with which to validate the model created. There are not many validated numerical models that reproduce the physico-chemical behaviour of a lake. During the period March 2008–October 2019 we have been monitoring the filling and post-filling process of an old open-pit, forming the Meirama lake in NW Spain. With the data measured during these years we have had the opportunity to develop a model of the thermo-hydrochemical behaviour of the vertical profile of the lake. Thus, this article presents a vertical profile numerical model of the thermal behaviour and transport of sulfate of the lake under the current conditions of steady-state hydrodynamic operation, when the complete flooding of the mine pit was reached (May 2016–October 2019). The model developed has been a conservative diffusive transport model and a thermal conductive transport model. The developed model reproduces acceptably the vertical profiles of the analysed parameters. In these profiles, it can be seen that the chemocline originating from the filling process diffuses slowly. There are two differentiated water bodies separated by a chemocline. The model also reproduces the seasonal evolution of the temperature profile in the shallowest zone of the lake; i.e., there is a significant thermocline in the upper zone that tends to disappear during the winter season: it tends to homogenize at a temperature between 11 and 12 °C, tending to a vertical profile.},

keywords = {Chemocline, Mine lake, numerical modelling, Thermocline, Water quality},

pubstate = {published},

tppubtype = {article}

}

@article{jimenez-fernandez_analysis_2023,

title = {Analysis of Surrogate Physicochemical Parameters for Studying Heavy Metal Pollution in Urban Road Runoff},

author = {Vicente Jiménez-Fernández and Joaquín Suárez-López and Carlos Alfonso Zafra-Mejía},

url = {https://www.mdpi.com/2073-4441/15/1/85},

doi = {10.3390/w15010085},

issn = {2073-4441},

year  = {2023},

date = {2023-01-01},

urldate = {2026-08-11},

journal = {Water},

volume = {15},

number = {1},

pages = {85},

abstract = {The pollution associated with road runoff water can generate significant impacts on the receiving natural environment due to the significant masses mobilized under certain climate, morphological, and anthropic conditions. The aim of this paper is to show an analysis of the possible surrogate conventional physicochemical parameters of pollution by heavy metals (HMs) in urban road runoff. The best surrogate physicochemical parameters are detected by a differentiated analysis between the HM concentrations (Fe, Al, As, Ba, Cd, Co, Cu, Cr, Mn, Hg, Ni, Pb, V, and Zn) in the total, particulate, and dissolved fractions. This analysis is also performed under two scenarios of runoff event energy according to the mobilized TSS load. The results suggested that it was easier to detect surrogate parameters for total HM concentrations during higher-energy runoff events. The outcomes hinted that regardless of the runoff event energy, it was easier to detect conventional surrogate parameters for the particulate HM concentration compared to the dissolved HM concentration. The findings showed for total HM concentration that the best surrogate parameter during higher-energy runoff events was TSS. The best surrogate HM during these runoff events was Fe. The results also suggested that HMs with high percentages of association with the particulate fraction (>70%) of road runoff were the best surrogates for the other HMs under study. For lower-energy runoff events, the best surrogate parameter was VSS, although TSS also showed good behavior.},

note = {Publisher: Multidisciplinary Digital Publishing Institute},

keywords = {heavy metal, road runoff, surrogate parameter, urban pollution, Water quality},

pubstate = {published},

tppubtype = {article}

}

@article{juncosa_physicochemical_2022,

title = {Physicochemical Parameters in the Generation of Turbidity Episodes in a Water Supply Distribution System},

author = {Ricardo Juncosa-Rivera and José Luis Cereijo-Arango and Ricardo Vázquez},

url = {https://www.mdpi.com/2073-4441/14/21/3383},

doi = {10.3390/w14213383},

issn = {2073-4441},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Water},

volume = {14},

number = {21},

pages = {3383},

abstract = {Water is necessary for the development and support of human life. The ability of water to supply the different populations has different origins: water taken from river diversions, water from underground catchments, water from lakes and reservoirs, water from the recirculation of treated water, etc. Episodes of turbidity and color changes in the water supply in pipe distribution systems are non-isolated problems that occur in many cities and towns. In particular, sedimentation in water supply pipelines and the subsequent resuspension of these particles in the system have created the need to investigate the processes and variables that promote turbidity episodes, including why, when, and where these episodes occur. In this study, different physicochemical parameters were investigated and analyzed in the water supply distribution network of the city of La Coruña (northwest Spain) through a pipe monitoring panel under real operating conditions. The supply waters come from the Mero river basin, a basin made up of siliceous materials, a unique condition with respect to the majority of studies that have been carried out using waters coming from basins made of basic materials. In this case, the relationships between different variables were studied, including the number of particles, particle size, turbidity, color, concentration of particulate materials, and mineralogy. In this article, only those parameters that are better correlated have been noted. The results revealed a predominant relationship between color and the concentration and mineralogy of particulate materials, as well as between turbidity and the number and size of particles.},

note = {Publisher: Multidisciplinary Digital Publishing Institute},

keywords = {color, sedimentation, turbidity, Water quality, water supply networks},

pubstate = {published},

tppubtype = {article}

}

@article{garcia-feal_iberwq_2020,

title = {IberWQ: A GPU Accelerated Tool for 2D Water Quality Modeling in Rivers and Estuaries},

author = {Orlando García-Feal and Luis Cea-Gómez and José González-Cao and José Manuel Domínguez and Moncho Gómez-Gesteira},

url = {https://www.mdpi.com/2073-4441/12/2/413},

doi = {10.3390/w12020413},

issn = {2073-4441},

year  = {2020},

date = {2020-02-01},

urldate = {2026-08-06},

journal = {Water},

volume = {12},

number = {2},

pages = {413},

publisher = {Multidisciplinary Digital Publishing Institute},

abstract = {Numerical models are useful tools to analyze water quality by computing the concentration of physical, chemical and biological parameters. The present work introduces a two-dimensional depth-averaged model that computes the most relevant and frequent parameters used to evaluate water quality. High performance computing (HPC) techniques based on graphic processing unit (GPU) parallelization have been applied to improve the efficiency of the package, providing speed-ups of two orders of magnitude in a standard PC. Several test cases were analyzed to show the capabilities and efficiency of the model to evaluate the environmental status of rivers and non-stratified estuaries. IberWQ will be freely available through the package Iber.},

keywords = {Computational fluid dynamics, CUDA, depth-averaged modeling, environmental quality standards, graphic processing unit (GPU), high performance computing (HPC), Water quality},

pubstate = {published},

tppubtype = {article}

}

@article{cillero_castro_uav_2020,

title = {An UAV and Satellite Multispectral Data Approach to Monitor Water Quality in Small Reservoirs},

author = {Carmen Cillero-Castro and Jose Antonio Domínguez-Gómez and Jordi Delgado-Martín and Boris Alejandro Hinojo-Sánchez and José Luis Cereijo-Arango and Federico Andrés Cheda Tuya and Ramon Díaz-Varela},

url = {https://www.mdpi.com/2072-4292/12/9/1514},

doi = {10.3390/rs12091514},

issn = {2072-4292},

year  = {2020},

date = {2020-01-01},

urldate = {2026-08-06},

journal = {Remote Sensing},

volume = {12},

number = {9},

pages = {1514},

publisher = {Multidisciplinary Digital Publishing Institute},

abstract = {A multi-sensor and multi-scale monitoring tool for the spatially explicit and periodic monitoring of eutrophication in a small drinking water reservoir is presented. The tool was built with freely available satellite and in situ data combined with Unmanned Aerial Vehicle (UAV)-based technology. The goal is to evaluate the performance of a multi-platform approach for the trophic state monitoring with images obtained with MultiSpectral Sensors on board satellites Sentinel 2 (S2A and S2B), Landsat 8 (L8) and UAV. We assessed the performance of three different sensors (MultiSpectral Instrument (MSI), Operational Land Imager (OLI) and Rededge Micasense) for retrieving the pigment chlorophyll-a (chl-a), as a quantitative descriptor of phytoplankton biomass and trophic level. The study was conducted in a waterbody affected by cyanobacterial blooms, one of the most important eutrophication-derived risks for human health. Different empirical models and band indices were evaluated. Spectral band combinations using red and near-infrared (NIR) bands were the most suitable for retrieving chl-a concentration (especially 2 band algorithm (2BDA), the Surface Algal Bloom Index (SABI) and 3 band algorithm (3BDA)) even though blue and green bands were useful to classify UAV images into two chl-a ranges. The results show a moderately good agreement among the three sensors at different spatial resolutions (10 m., 30 m. and 8 cm.), indicating a high potential for the development of a multi-platform and multi-sensor approach for the eutrophication monitoring of small reservoirs.},

keywords = {eutrophication, Monitoring, multispectral imagery, satellite, UAV, Water quality},

pubstate = {published},

tppubtype = {article}

}

@article{juncosa_hydrochemical_2019,

title = {Hydrochemical Evolution of the filling of the Mining Lake of As Pontes (Spain)},

author = {Ricardo Juncosa-Rivera and Jordi Delgado-Martín and José Luis Cereijo-Arango and Andrea Muñoz-Ibáñez},

url = {https://doi.org/10.1007/s10230-019-00612-6},

doi = {10.1007/s10230-019-00612-6},

issn = {1616-1068},

year  = {2019},

date = {2019-09-01},

urldate = {2026-08-05},

journal = {Mine Water and the Environment},

volume = {38},

number = {3},

pages = {556–565},

abstract = {The old As Pontes lignite mine is located in northwest Spain, in the Galicia region. Filling of the 547 hm3 pit began at the end of January 2008 through the controlled input of surface water. The filling was completed on April 18, 2012, leading to a steady water regime. During this process, both the water input and the water stored in the pit were hydrochemically monitored. The water chemistry in the superficial area of the lake, as well as the chemical stratification, are presented.},

keywords = {Chemocline, Hydrology, Mining restoration, Water quality},

pubstate = {published},

tppubtype = {article}

}

@article{juncosa_comparative_2018,

title = {Comparative hydrochemical analysis of the formation of the mining lakes of As Pontes and Meirama (Spain)},

author = {Ricardo Juncosa-Rivera and Jordi Delgado-Martín and José Luis Cereijo-Arango and David García and Andrea Muñoz-Ibáñez},

url = {https://doi.org/10.1007/s10661-018-6880-3},

doi = {10.1007/s10661-018-6880-3},

issn = {1573-2959},

year  = {2018},

date = {2018-08-01},

urldate = {2026-08-04},

journal = {Environmental Monitoring and Assessment},

volume = {190},

number = {9},

pages = {526},

abstract = {The old lignite mines of As Pontes and Meirama are located in the northwest of Spain, an approximate distance of 80 km between them. Both ended their extractive activity at the end of 2007; the respective mining pits began to be filled at the beginning of 2008. The filling process, enabled by the deviation of nearby rivers, differed between the two cases, taking approximately 4 and a half years to completely fill the 547-hm3 hole at As Pontes and 8 years and 2 months to fill the 146-hm3 hole at Meirama. In both lakes, a steady-state hydrological regime has been established, in which the volume of water in the filled holes remains constant.},

keywords = {Hydrochemical, Hydrology, Mining lakes, Water quality},

pubstate = {published},

tppubtype = {article}

}