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Geostatistical spatial projection of geophysical parameters for practical aquifer mapping

Dense data acquisition for 3-D high-resolution aquifer mapping through heliborne transient electromagnetic (HTEM) survey is continually not possible due to various technical and administrative constraints. Consequently, we apply ground geophysical surveys at possibly closer spacing to collect the su...

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Autores principales: Dabas, Jagriti, Sarah, Sarah, Mondal, N. C., Ahmed, Shakeel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986847/
https://www.ncbi.nlm.nih.gov/pubmed/35388035
http://dx.doi.org/10.1038/s41598-022-08494-5
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author Dabas, Jagriti
Sarah, Sarah
Mondal, N. C.
Ahmed, Shakeel
author_facet Dabas, Jagriti
Sarah, Sarah
Mondal, N. C.
Ahmed, Shakeel
author_sort Dabas, Jagriti
collection PubMed
description Dense data acquisition for 3-D high-resolution aquifer mapping through heliborne transient electromagnetic (HTEM) survey is continually not possible due to various technical and administrative constraints. Consequently, we apply ground geophysical surveys at possibly closer spacing to collect the sub-surface information in the no-fly area, which provides only a regional aquifer picture. In the area near Patna of Northern India, an extent of 18% was covered under the HTEM survey, and the rest was surveyed by ground geophysical methods. Both data are integrated using the theory of regionalized variables. The parameters of multi-aquifers i.e., top of the first aquifer, top of the separating clay layer, top and the bottom of second aquifer, are estimated together with their respective resistivities. The estimations are made at an interval of 250 m, practically an appropriate distance at which dense data generation was carried out using the HTEM survey. The integrated approach generates the data in the no-fly area with the same spatial density as the flown area. With this, we achieved the goal of completing the 3-D aquifer mapping of the entire area with dense data at high spatial resolution. This is a unique finding to manage the handicapped situation in this HTEM surveys, and an aide to overcome such constraints with cost-effectiveness.
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spelling pubmed-89868472022-04-08 Geostatistical spatial projection of geophysical parameters for practical aquifer mapping Dabas, Jagriti Sarah, Sarah Mondal, N. C. Ahmed, Shakeel Sci Rep Article Dense data acquisition for 3-D high-resolution aquifer mapping through heliborne transient electromagnetic (HTEM) survey is continually not possible due to various technical and administrative constraints. Consequently, we apply ground geophysical surveys at possibly closer spacing to collect the sub-surface information in the no-fly area, which provides only a regional aquifer picture. In the area near Patna of Northern India, an extent of 18% was covered under the HTEM survey, and the rest was surveyed by ground geophysical methods. Both data are integrated using the theory of regionalized variables. The parameters of multi-aquifers i.e., top of the first aquifer, top of the separating clay layer, top and the bottom of second aquifer, are estimated together with their respective resistivities. The estimations are made at an interval of 250 m, practically an appropriate distance at which dense data generation was carried out using the HTEM survey. The integrated approach generates the data in the no-fly area with the same spatial density as the flown area. With this, we achieved the goal of completing the 3-D aquifer mapping of the entire area with dense data at high spatial resolution. This is a unique finding to manage the handicapped situation in this HTEM surveys, and an aide to overcome such constraints with cost-effectiveness. Nature Publishing Group UK 2022-04-06 /pmc/articles/PMC8986847/ /pubmed/35388035 http://dx.doi.org/10.1038/s41598-022-08494-5 Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Dabas, Jagriti
Sarah, Sarah
Mondal, N. C.
Ahmed, Shakeel
Geostatistical spatial projection of geophysical parameters for practical aquifer mapping
title Geostatistical spatial projection of geophysical parameters for practical aquifer mapping
title_full Geostatistical spatial projection of geophysical parameters for practical aquifer mapping
title_fullStr Geostatistical spatial projection of geophysical parameters for practical aquifer mapping
title_full_unstemmed Geostatistical spatial projection of geophysical parameters for practical aquifer mapping
title_short Geostatistical spatial projection of geophysical parameters for practical aquifer mapping
title_sort geostatistical spatial projection of geophysical parameters for practical aquifer mapping
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986847/
https://www.ncbi.nlm.nih.gov/pubmed/35388035
http://dx.doi.org/10.1038/s41598-022-08494-5
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