Building a 3D geomodel for water resources management: case study in the Regional Park of the lower courses of Manzanares and Jarama Rivers (Madrid, Spain)

Carreño, Francisco Soto; Martínez, Sandra García; Lillo, Javier; Martínez, Rosa; Colonia, Ariana Mabeth-Montoya

doi:10.1007/s12665-013-2694-3

Cited by 18 publications

(6 citation statements)

References 8 publications

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“…The basement of the aquifer and its sidewalls are formed by Tertiary sedimentary units, which consist mainly of gypsum with intercalated beds of carbonate rocks and mudstones (Fig. 2) (Calvo et al 1989;Carreño Conde et al 2014). The aquifer has an average thickness of 10.97m and is characterized by a storage coe cient and a transmissivity of 0.07 and 700 m 2 /d, respectively (Bardají et al, 1990).…”

Section: Study Areamentioning

confidence: 99%

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A new approach to pollution vulnerability assessment in aquifers using K-means analysis

Uzcategui-Salazar

Lillo

2022

Environ Earth Sci

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The most used methods to evaluate the vulnerability to contamination of aquifers are based on overlay index maps, such us DRASTIC, GOD and AVI. These methods assign weighting and rating values to hydrogeological characteristics, introducing subjectivity in the evaluation. In this research, a new methodology is proposed to eliminate some of that subjectivity. The methodology evaluates the vulnerability to contamination of a detrital aquifer using K-means cluster analysis with a new set of parameters. The set is composed of some parameters extracted from these methods, as well as other new ones that have a signi cant in uence on the movement of contaminants. Application of the Principal Components Analysis (PCA) technique before using K-means cluster allowed the selection of the relevant parameters. In order to validate the methodology, this was applied to a detrital aquifer located at central Spain (the so-called "Aluviales Jarama-Tajuña" aquifer) with a signi cant agricultural development. To compare the traditional methods of vulnerability assessment with the K-means cluster, nitrate concentration was used as a pollution indicator. Thus, 23 groundwater quality samples were used to correlate (Spearman´s correlation coe cient) the vulnerability values with nitrate concentration to validate the most suitable method. The results showed that GOD and AVI were not appropriate methods to evaluate the vulnerability of the aquifer, because they use few variables which do not represent relevant features for the vulnerability assessment. Alternatively, DRASTIC and K-means cluster analysis obtained higher Spearman´s correlation coe cients. The relevant features selected by PCA analysis were depth of groundwater (D), net recharge (R), and land use (L). The new proposed method grouped data in three clusters (low, moderate and high vulnerability), increasing the Spearman´s correlation from 34% of DRASTIC method to 48%. This result con rmed the advantage of applying cluster analysis in the assessment of groundwater vulnerability in detrital aquifers.

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Section: Study Areamentioning

confidence: 99%

“…The "Aluviales Jarama-Tajuña" aquifer is uncon ned, according to lithological sections (Fig. 2b) and pumping test (Carreño Conde et al 2014). Therefore, 100% of study area is uncon ned aquifer and the map of groundwater occurrence (G) is de ned by a single value equal to one (1) according to GOD method.…”

Section: God Vulnerability Analysismentioning

confidence: 99%

A new approach to pollution vulnerability assessment in aquifers using K-means analysis

Uzcategui-Salazar

Lillo

2022

Environ Earth Sci

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“…Geologically, the Parque Regional del Sureste is characterized by the presence of two fundamental lithological domains: the Neogene tertiary and the Quaternary [25]. The geological location of the settling pond is the Vega Baja del Jarama, characterized by the development of a large number of stream terraces, associated with Quaternary climatic oscillations, isostatic uplift tectonics and block adjustments, and lithological-structural controls [26]. The main lithology of these terraces is formed by gravel bars and/or sand with limited sand fraction [27], besides alterations in the conglomerate, silt and clay.…”

Section: Settling Ponds Descriptionmentioning

confidence: 99%

Alternative Fuel Generation from Dangerous Solid Waste in a Protected Environmental Area

Mora

Barettino

Ponce³

et al. 2022

Energies

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The present investigation project aims to evaluate the extraction of contaminant material from two settling ponds to be used as alternative fuel in two cement plants. The extraction is carried out through mechanical means, and after that extraction, two options are compared: energy recovery and incineration. Through energy recovery, a potentially contaminated area is decontaminated and its waste is used; its high calorific value makes this option a viable one. The waste extraction is carried out through mechanical means due to the high density and viscosity of the waste. Because of these characteristics, the waste undergoes an on-site security adaptation to stabilize it, reduce declivity risk and make it suitable to be handled and moved. The second treatment is carried out in external installations where the final product is obtained (alternative fuel), which is to be used at industrial kilns. The entire described process shows a difference on the consumed energy of 6060.42 kWh/twaste between the two options under study: waste incineration and energy recovery. In addition, it also reduces CO2 emissions on 2.178 tCO2/twaste.

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“…In recent years, domestic and foreign scholars have absorbed theories and technologies such as computer visualization and graphic imaging to conduct research on the theory and methods of true three-dimensional geoscience modeling. At the same time, scholars have conducted beneficial explorations in the expression and organization of topological relationships among geological objects [6][7][8][9][10] . It should be noted that 3D visualization of geological modeling and 3D geographic information systems are two high-tech fields that are currently developing in parallel within the field of geosciences.…”

Section: Introductionmentioning

confidence: 99%

3D geological modeling and structural analysis of Nantong City based on borehole data

Liu,

Li,

Chen

et al. 2023

Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023)

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Building a 3D geomodel for water resources management: case study in the Regional Park of the lower courses of Manzanares and Jarama Rivers (Madrid, Spain)

Cited by 18 publications

References 8 publications

A new approach to pollution vulnerability assessment in aquifers using K-means analysis

A new approach to pollution vulnerability assessment in aquifers using K-means analysis

Alternative Fuel Generation from Dangerous Solid Waste in a Protected Environmental Area

3D geological modeling and structural analysis of Nantong City based on borehole data

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