Thermal geological model of the city of Guayaquil, Ecuador

Soriano, Guillermo; Espinoza, Tania; Villanueva, Rubén; González, I. L. Castillejo; Montero, Andrés; Cornejo, Mauricio; Lopez, Katthy

doi:10.1016/j.geothermics.2016.11.003

Cited by 10 publications

(3 citation statements)

References 36 publications

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“…The Geographic Information Systems (GIS) have been widely used for geoscience since about 1980s and their applications are being constantly increasing along with rapid computerization of methods. The need for effective visualization of datasets and availability of open source data raised the variety of GIS that has been used in various domains of Earth sciences, such as marine geology, environment and ecology, urban studies, geographic analysis, seismic, geological and geophysical studies (Hoskins et al 2021;Lemenkova 2022;Soriano et al 2017;Klaučo et al 2017;Gouvea, Nucci, Liberti 2021;Suetova, Ushakova, Lemenkova 2005;Lindh, Lemenkova 2021a, 2021bCabral, Neto 2020;Schenke, Lemenkova 2008). In contrast to the traditional GIS, the demonstrated the scripting approach actively uses automatization in cartographic data processing and adjusted graphical design which resulted in effective workflow and accurate maps of seismicity, topographic and geophysical setting of Ecuador.…”

Section: Final Conclusionmentioning

confidence: 99%

Cartographic scripts for seismic and geophysical mapping of Ecuador

Lemenkova

2022

Geografie

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This research describes a script-based method of Generic Mapping Tools (GMT) for mapping the seismicity, geophysics, geology and topography of Ecuador. The advances of GMT include the following points: (1) automation of workflow; (2) refined aesthetics of graphics; (3) speed console-based mapping; (4) multi-format data handling; (5) advanced syntax. An explanation of scripting with the examples of code snippets is provided. The results present six new maps of Ecuador. The distribution of geophysical phenomena and seismicity is compared to the terrain elevation, showing remarkable correlations with the topography and geoid. The data demonstrated low values in the depression of the Andes, the Gulf of Guayaquil, and the Peru-Chile Trench. The peaks in gravity are representative for the Andean topography. Local decreases in gravity correspond to the depressions in the coastal shelf and the Gulf of Guayaquil. The increase in seismicity is detected along the tectonically active areas. The GMT is appropriate to the geological risk assessment of Ecuador.

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Section: Final Conclusionmentioning

confidence: 99%

Cartographic scripts for seismic and geophysical mapping of Ecuador

Lemenkova

2022

Geografie

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“…The thermal response test is the most widely accepted procedure for determining soil thermal properties for shallow applications. This procedure is carried out by monitoring the soil temperature when it is subjected to a constant heat flux [32]. The values of specific heat capacity published in British Guideline MCS MIS 3005 [33] for the soil type in this study (wet clay), were used.…”

Section: Undisturbed Ground Temperaturementioning

confidence: 99%

A comparison of analytical and numerical model predictions of shallow soil temperature variation with experimental measurements

et al. 2018

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“…Increasing energy consumption, particularly the burning of fossil fuels, has resulted in global air pollution and environmental degradation, and geothermal sources have attracted increasingly more attention as a renewable resource [1][2][3]. Ground source heat pumps (GSHPs), one of the most important ways to use geothermal energy, have been widely used in recent years owing to their advantages of high efficiency, energy savings, and environmental protection [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Layered Thermal Conductivity Using Artificial Neural Network in Order to Have Better Design of Ground Source Heat Pump System

Zhang

Zhou

et al. 2018

Energies

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Ground source heat pumps (GSHPs) have been widely applied worldwide in recent years because of their high efficiency and environmental friendliness. An accurate estimation of the thermal conductivity of rock and soil layers is important in the design of GSHP systems. The distributed thermal response test (DTRT) method incorporates the standard test with a pair of fiber optic-distributed temperature sensors in the U-tube to accurately calculate the layered thermal conductivity of the rock/soil. In this work, in situ layered thermal conductivity was initially obtained by DTRT for four boreholes in the study region. A series of laboratory tests was also conducted on the rock samples obtained from drilling. Then, an artificial neural network (ANN) model was developed to predict the layered thermal conductivity on the basis of the DTRT results. The primary modeling factors were water content, density, and porosity. The results showed that the ANN models can predict the layered thermal conductivity with an absolute error of less than 0.1 W/(m·K). Finally, the trained ANN models were used to predict the layered thermal conductivity for another study region, in which only the effective thermal conductivity was measured with the thermal response test (TRT). To verify the accuracy of the prediction, the product of pipe depth and layered thermal conductivity was suggested to represent heat transfer capacity. The results showed that the discrepancies between the TRT and ANN models were 5.43% and 6.37% for two boreholes, respectively. The results prove that the proposed method can be used to determine layered thermal conductivity.Energies 2018, 11, 1896 2 of 25 influenced by many factors, with the most important one being the ground thermal conductivity around GHE [10,11] (thermal conductance is the quantity of heat that passes in unit time through a plate of unit area and thickness when its opposite faces differ in temperature by one kelvin, and defines the units as W/(m·K)). Two methods are available to measure GHE performance: laboratory experiments and thermal response test (TRT) methods [12][13][14][15]. Laboratory experiments test the thermal parameters of rock and soil samples collected at the test site using a steady-or non-steady-state heat flow method. This method can test the thermal conductivity of each layer of different soil and rock types. However, considering that the disturbance of soil or rock mass during the sampling process causes larger measurement errors, the resulting parameters cannot be directly applied to the GSHP design. The TRT method for GHE was first proposed by Mogensen [16], and is referred to as "the standard TRT" in the current study. The standard TRT simulates the actual operation of the project by cooling or heating a cycle medium at a constant power, and records the inlet and outlet fluid temperature variations during the test period. The standard TRT obtains comprehensive in situ borehole thermal parameters by analyzing the temperature data based on the line heat source model [17]. It is ...

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Thermal geological model of the city of Guayaquil, Ecuador

Cited by 10 publications

References 36 publications

Cartographic scripts for seismic and geophysical mapping of Ecuador

Cartographic scripts for seismic and geophysical mapping of Ecuador

A comparison of analytical and numerical model predictions of shallow soil temperature variation with experimental measurements

Prediction of Layered Thermal Conductivity Using Artificial Neural Network in Order to Have Better Design of Ground Source Heat Pump System

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