Person:
Montero González, Esperanza

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First Name
Esperanza
Last Name
Montero González
URI
https://hdl.handle.net/20.500.14352/75248
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Ciencias Geológicas
Department
Geodinámica, Estratigrafía y Paleontología
Area
Geodinámica Externa
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UCM identifierORCIDScopus Author IDWeb of Science ResearcherIDDialnet IDGoogle Scholar ID

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2017 - 201912020 - 20222
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Author: Martínez Santos, Pedro ×

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Now showing 1 - 3 of 3
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    A survey of domestic wells and pit latrines in rural settlements of Mali: Implications of on-site sanitation on the quality of water supplies
    (International Journal of Hygiene and Environmental Health, 2017) Martínez Santos, Pedro; Díaz Alcaide, Silvia; Martín Loeches, Miguel Martín; García Castro, Javier; Solera Alfonso, Diego; Montero González, Esperanza; García Rincón, J.
    On-site sanitation is generally advocated as a means to eradicate the health hazards associated with open defecation. While this has provided a welcome upgrade to the livelihoods of millions of people in low-income countries, improved sanitation facilities are increasingly becoming a threat to domestic groundwater-based supplies. Within this context, a survey of pit latrines, domestic wells and improved water sources was carried out in a large rural village of southern Mali. All households were surveyed for water, sanitation and hygiene habits. Domestic wells and improved water sources were georeferenced and sampled for water quality (pH, electric conductivity, temperature, turbidity, total dissolved solids, thermotolerant coliforms, chloride and nitrate) and groundwater level, while all latrines were inspected and georeferenced. A GIS database was then used to evaluate the proportion of water points within the influence area of latrines, as well as to underpin multiple regression models to establish the determinants for fecal contamination in drinking supplies. Moreover, an appraisal of domestic water treatment practices was carried out. This revealed that nearly two-thirds of the population uses bleach to purify drinking supplies, but also that domestic-scale treatment as currently implemented by the population is far from effective. It is thus concluded that existing habits could be enhanced as a means to make water supplies safer. Furthermore, population, well and latrine density were all identified as statistically significant predictors for fecal pollution at different spatial scales. These findings are policy-relevant in the context of groundwater-dependent human settlements, since many countries in the developing world currently pursue the objective of eliminating open defecation.
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    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, Pedro
    Study 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.
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    Project number: 245
    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, Alejandro
    Tras 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.