Person: Montero González, Esperanza
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First Name
Esperanza
Last Name
Montero González
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Ciencias Geológicas
Department
Geodinámica, Estratigrafía y Paleontología
Area
Geodinámica Externa
Identifiers
8 results
Search Results
Now showing 1 - 8 of 8
Item Rain-fed granite rock pools in a national park: extreme niches for protists(Limnetica, 2021) Pérez Uz, María Blanca; Velasco González, Ismael; Murciano, Antonio; Sánchez Jiménez, Abel; García-Rodriguez, M.; Centeno Carrillo, Juan de Dios; Montero González, Esperanza; Muñoz Araújo, Benito; Olmedo Salinas, Cristina; Quintela Alonso, Pablo; Refoyo Román, Pablo; Williams, Richard Alexander John; Martín Cereceda, María MercedesRain-fed granite rock pools are geological landforms with a worldwide distribution. However, their role as habitats for microorganisms has been barely explored. We carried out a detailed morphological inventory of the ciliated protists in the sediments of three granite rain-fed rock pools from a Spanish National Park. The ciliate seed bank in the rock pools comprised 54 morphospecies. The species number inferred for each pool by rarefaction analysis was similar to that observed by microscopy. The most representative species were small bacterivorous ciliates, although the distribution of ciliate groups was significantly different in each rock pool. Testate amoebae were also found to be rich in species. This study demonstrates the existence of a diverse ciliate community adapted to persist in these ephemeral and extreme rock pool habitats through species resistance structures, many of which have not been described previously. The presence of competitive species in dormant stages prevents local extinctions through a sequential excystation over time. Our results provide a benchmark for studying protist and microbial biodiversity within rain-fed granite rock pools, a unique habitat that merits bio- and geo- conservation.Item Funcionamiento hidrogeológico del sistema de las Lagunas de Ruidera(2024) Montero González, Esperanza; Martínez Alfaro, Pedro EmilioEl Campo de Montiel, Unidad Hidrogeológica 04-04, se encuentra situado entre las provincias de Ciudad Real y Albacete, al sur de la Llanura Manchega, tiene una superficie aproximada de 2500 km2. Su cota topográfica varía entre los 800 metros al norte y los 1000metros al sur. Constituye un páramo calcáreo formado por calizas y dolomías del Jurásico Inferior(Lías) con una potencia media de 75 a 100 metros, que yace sobre un sustrato impermeable del Triásico Superior en facies Keuper. La recarga se produce exclusivamente a partir de la precipitación directa y la descarga a través de manantiales que dan lugar a ríos y arroyos que vierten a las cuencas del Jucar, Guadalquivir y fundamentalmente a la del Guadiana. La red fluvial, orientada preferentemente en dirección NO-SE disecta el acuífero en varias subcuencas, siendo la principal la del Guadiana Alto o Pinilla, donde se desarrollan las Lagunas de Ruidera, declaradas Parque Natural en 1984. Se trata de quince lagunas alineadas en dirección NO-SE que aparecen escalonadas a lo largo de unos 35 km, con un desnivel de 120 metros entre la primera y la última. Están separadas entre sí por barras formadas por materiales travertínicos, comunicandose a través de cascadas, canales y subterráneamente...Item Abatement of dichloromethane using persulfate activated by alkali: A kinetic study(Separation and Purification Technology, 2020) Dominguez, Carmen M.; Rodríguez Gutiérrez, Vanesa; Montero González, Esperanza; Romero, Arturo; Santos, AuroraThe alkaline activation of persulfate (PS) has been tested in this study as in situ oxidation technology for the abatement of dichloromethane (DCM), a chlorinated volatile organic pollutant commonly found in groundwater due to its wide use as solvent in the chemical industry during the last decades. The addition of an alkali (NaOH) as persulfate activator generates hydroxyl and superoxide radicals, achieving the total degradation of the pollutant (XDCM = 99%, 96 h, CDCM = 1.2 mmol L−1, CPS = 42 mmol L−1, CNAOH = 169 mmol L−1). From the results obtained in the presence of a hydroxyl radical-scavenger (methanol, CMeOH = 313 mmol L−1), it has been concluded that only hydroxyl radicals are responsible of DCM abatement. Trichloroethylene was identified as intermediate compound and formic acid and chloride as degradation products. The conversion of DCM increased as the initial concentration of the pollutant decreased (from 1.2 mmol L−1 to 0.1 mmol L−1), whereas an increase in the oxidant concentration (from 8 to 168 mmol L−1) led to an increase in the degradation rate of the pollutant. Finally, the molar ratio NaOH:PS (in the range 1–4) did not affect the degradation of the pollutant when a pH high enough (>12) was maintained. A kinetic model, able to predict adequately the experimental DCM concentration profiles as a function of the concentration of DCM, PS and NaOH, has been developed. The kinetic model discriminated was zero order, first order and hyperbolic order for NaOH, PS and DCM concentration, respectively.Item Multiclass spatial predictions of borehole yield in southern Mali by means of machine learning classifiers(Journal of Hydrology. Regional studies, 2022) Gómez Escalonilla, Víctor; Diancoumba, Oumou; Traoré, D.Y.; Montero González, Esperanza; Martín Loeches, Miguel Martín; Martínez Santos, PedroStudy region: Regions of Bamako, Kati and Kangaba, southwestern Mali Study focus: Machine learning-based mapping of borehole yield. Three algorithms were trained on an imbalanced multiclass database of boreholes, while twenty variables were used as predictors for borehole yield. All models returned balanced and geometric scores in the order of 0.80, with area under the receiver operating characteristic curve up to 0.87. Three main methodological conclusions are drawn: (a) The evaluation of different machine learning classifiers and various resampling strategies and the subsequent selection of the best performing ones is shown to be a good strategy in this type of studies; (b) ad hoc calibration tools, such as data on borehole success rates, provide an apt complement to standard machine learning metrics; and (c) a multiclass approach with an unbalanced database represents a greater challenge than predicting a bivariate outcome, but potentially results in a finer depiction of field conditions. New hydrological insights for the region: Alluvial sediments were found to be the most productive areas, while the Mandingue Plateau has the lowest groundwater potential. The piedmont areas showcase an intermediate groundwater prospect. Elevation, basement depth, slope and geology rank among the most important variables. Lower values of clay content, slopes and elevations, and higher values of basement depth and saturated thickness were linked to the most productive class.Item Clustering Groundwater Level Time Series of the Exploited Almonte-Marismas Aquifer in Southwest Spain(Water, 2020) Naranjo Fernández, Nuria; Guardiola-Albert, Carolina; Aguilera Alonso, Héctor; Serrano Hidalgo, Carolina; Montero González, EsperanzaGroundwater resources are regularly the principal water supply in semiarid and arid climate areas. However, groundwater levels (GWL) in semiarid aquifers are suffering a general decrease because of anthropic exploitation of aquifers and the repercussions of climate change. Effective groundwater management strategies require a deep characterization of GWL fluctuations, in order to identify individual behaviors and triggering factors. In September 2019, the Guadalquivir River Basin Authority (CHG) declared that there was over-exploitation in three of the five groundwater bodies of the Almonte-Marismas aquifer, Southwest Spain. For that reason, it is critical to understand GWL dynamics in this aquifer before the new Spanish Water Resources Management Plans (2021–2027) are developed. The application of GWL series clustering in hydrogeology has grown over the past few years, as it is an extraordinary tool that promptly provides a GWL classification; each group can be related to different responses of a complex aquifer under any external change. In this work, GWL time series from 160 piezometers were analyzed for the period 1975 to 2016 and, after data pre-processing, 24 piezometers were selected for clustering with k-means (static) and time series (dynamic) clustering techniques. Six and seven groups (k) were chosen to apply k-means. Six characterized types of hydrodynamic behaviors were obtained with time series clustering (TSC). Number of clusters were related to diverse affections of water exploitation depending on soil uses and hydrogeological spatial distribution parameters. TSC enabled us to distinguish local areas with high hydrodynamic disturbance and to highlight a quantitative drop of GWL during the studied period.Item Abatement of Dichloromethane using Persulfate Activated by Alkali: a kinetic study(Separation and Purification Technology, 2020) Domínguez Torre, Carmen María; Rodriguez, Vanesa; Montero González, Esperanza; Romero Salvador, Arturo; Santos López, AuroraThe alkaline activation of persulfate (PS) has been tested in this study as in situ oxidation technology for the abatement of dichloromethane (DCM), a chlorinated volatile organic pollutant commonly found in groundwater due to its wide use as solvent in the chemical industry during the last decades. The addition of an alkali (NaOH) as persulfate activator generates hydroxyl and superoxide radicals, achieving the total degradation of the pollutant (XDCM = 99%, 96 h, CDCM = 1.2 mmol L−1, CPS = 42 mmol L−1, CNAOH = 169 mmol L−1). From the results obtained in the presence of a hydroxyl radical-scavenger (methanol, CMeOH = 313 mmol L−1), it has been concluded that only hydroxyl radicals are responsible of DCM abatement. Trichloroethylene was identified as intermediate compound and formic acid and chloride as degradation products. The conversion of DCM increased as the initial concentration of the pollutant decreased (from 1.2 mmol L−1 to 0.1 mmol L−1), whereas an increase in the oxidant concentration (from 8 to 168 mmol L−1) led to an increase in the degradation rate of the pollutant. Finally, the molar ratio NaOH:PS (in the range 1–4) did not affect the degradation of the pollutant when a pH high enough (>12) was maintained. A kinetic model, able to predict adequately the experimental DCM concentration profiles as a function of the concentration of DCM, PS and NaOH, has been developed. The kinetic model discriminated was zero order, first order and hyperbolic order for NaOH, PS and DCM concentration, respectively.- Project number: 245
Item Aplicación didáctica mediante virtualización de afloramientos geológicos por medio herramientas digitales de muy alta resolución(2022) García Lorenzo, María De La Luz; Abati Gómez, Jacobo; Álvarez Sierra, María De Los Ángeles; Ancochea Soto, Eumenio; Arribas Mocoroa, María Eugenia; Arroyo Rey, Xabier; Benito Moreno, María Isabel; Campos Soto, Sonia; Castiñeiras García, Pedro; Crespo Feo, María Elena; Fernández Barrenechea, José María; García Romero, Emilia; Granja Bruña, José Luis; Huertas Coronel, María José; Ignacio San José, Cristina de; López De Andrés, María Sol; Martín Chivelet, Javier; Martínez Santos, Pedro; Montero González, Esperanza; Muñoz Martín, Alfonso; Orejana García, David; Pieren Pidal, Agustín Pedro; Piña García, Rubén; Sánchez Donoso, Ramón; Suárez González, Pablo; Pertuz Dominguez, AlejandroTras la situación sanitaria del curso 2019-2020 y a través del Proyecto INNOVA Gestión 223 de la convocatoria del año 2020-2021, la Facultad de Ciencias Geológicas ha adquirido una herramienta para la virtualización de afloramientos geológicos. Durante el curso 2020-2021 se ha virtualizado una salida de campo de cada uno de los grados que se imparten en la Facultad, Grado en Geología y Grado en Ingeniería Geológica. Además, la mayor parte de la actividad de campo de este curso tendrá lugar durante el mes de mayo, por lo que los profesores van a poder realizar la virtualización de sus salidas de campo mientras realizan la salida presencial con los estudiantes, o incluso en algunas asignaturas los propios estudiantes van a ser los responsables de la virtualización de las mismas. Por ello, la herramienta GIGAPAN no sólo es de elevada utilidad en momentos en los que las restricciones de movilidad impiden la realización del campo sino que también permiten aplicar metodologías docentes invertidas durante la realización de los campamentos. De este modo los estudiantes pasan a tener un papel activo en relación a su proceso de aprendizaje. La herramienta GIGAPAN permite que se combinen imágenes fotográficas de megapíxeles de alta resolución para crear imágenes panorámicas de gigapíxeles que luego se pueden explorar a muchas escalas haciendo zoom y visión panorámica. Los GigaPans son gigapíxeles panorámicos, imágenes digitales con billones de píxeles. Gigapan crea panorámicas enormes, para conseguir elevado detalle con mucha nitidez. Además de proporcionar una experiencia de aprendizaje alternativa, estos recursos permiten una visita 'virtual' que puede ser una herramienta de aprendizaje útil en cualquier escenario docente. La utilidad del material generado tiene validez más allá de la pandemia, ya que puede ser utilizado por los estudiantes en el estudio de las asignaturas de la titulación, con un enorme potencial didáctico hasta ahora poco explorado. Hasta la fecha el GIGAPAN se ha venido utilizando con cámaras personales de profesores de la Facultad, por lo que se hace necesario completar esta herramienta con una cámara compatible con el módulo que permita ser usada tanto por profesores que no dispongan de la misma como por estudiantes de la Facultad. Item Relevance of spatio-temporal rainfall variability regarding groundwater management challenges under global change: case study in Doñana (SW Spain)(Stochastic Environmental Research and Risk Assessment, 2020) Naranjo Fernández, Nuria; Guardiola-Albert, Carolina; Aguilera Alonso, Héctor; Serrano Hidalgo, C.; Rodríguez Rodríguez, M.; Fernández Ayuso, A.; Ruiz Bermudo, F.; Montero González, EsperanzaRainfall is the major contribution for groundwater recharge in arid and semiarid climates, therefore a key factor in water resources estimation. This work presents the results of an in-depth study in Doñana National Park concerning groundwater recharge behavior over a long period (1975–2016). The spatio-temporal kriging algorithm was used as a supportive tool to improve the reconstruction of the spatio-temporal rainfall variability. One of the main findings was that monthly recharge estimations range between 21 and 91% of the maximum rainfall, being overestimated in areas that also demonstrate spatial heterogeneity in rainfall distribution. In the light of these results, for water management purposes in the Mediterranean area, rainfall spatio-temporal scale is a critical aspect and it must be taken into account in groundwater reservoir allocation. Moreover, it is highlighted that local studies of rainfall and recharge, in an area of high ecological fragility, are essential to developing management strategies that prevent climate change effects and guarantee optimal conditions for groundwater resources in the future.