Estimation of hydraulic parameters using electrical resistivity tomography (ERT) and empirical laws in a semi‐confined aquifer
Autor: | Eduardo Emilio Kruse, Santiago Perdomo, Jerónimo Enrique Ainchil |
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Rok vydání: | 2018 |
Předmět: |
Regional geology
HYDRAULIC TRANSMISSIVITY 0208 environmental biotechnology Well logging AQUIFER Aquifer Soil science 02 engineering and technology 010502 geochemistry & geophysics 01 natural sciences Ciencias de la Tierra y relacionadas con el Medio Ambiente Hydraulic conductivity HYDROGEOLOGY Electrical resistivity tomography Economic geology 0105 earth and related environmental sciences Environmental geology geography Hydrogeology geography.geographical_feature_category HYDRAULIC CONDUCTIVITY Oceanografía Hidrología Recursos Hídricos 020801 environmental engineering Geophysics ERT CIENCIAS NATURALES Y EXACTAS Geology |
Zdroj: | Near Surface Geophysics. 16:627-641 |
ISSN: | 1873-0604 1569-4445 |
DOI: | 10.1002/nsg.12020 |
Popis: | The estimation of hydraulic parameters is critical for the rational use of water resources and the development of reliable hydrogeological models. However, the cost of such estimation can be very high and the data are limited to the area near the pumping well. For this reason, complementary methods for estimating hydraulic conductivity and transmissivity have become increasingly important in recent years, such as the adjustment of empirical relationships between geoelectrical and hydraulic parameters. In this paper, two linear relationships were tested, combining resistivity measurements from well logging profiles and hydraulic conductivity values from pumping test data, in a semi-confined fluvial aquifer in the province of Buenos Aires, Argentina. Furthermore, these relationships were used to obtain two-dimensional (2D) hydraulic conductivity and transmissivity sections from electrical resistivity tomography using a high-definition electrode array. Predicted values were compared with traditional pumping test in a near well showing very good agreement with both methods. Results showed that it would be possible to quantify the 2D variation of hydraulic parameters in aquifers and to identify high- or low-productivity areas. By knowing this information in advance, it is possible to reduce the number of failures or unexpected results when drilling a well. These 2D sections also provide additional information about hydraulic parameters and their lateral variability, and can improve hydrogeological models without drilling new wells. Fil: Perdomo, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires; Argentina Fil: Kruse, Eduardo Emilio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Facultad de Ciencias Naturales y Museo, Universidad Nacional de la Plata; Argentina Fil: Ainchil, Jeronimo Enrique. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina |
Databáze: | OpenAIRE |
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