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Erschienen in: Environmental Earth Sciences 1/2024

01.01.2024 | Original Article

Study on aquifer characterization using surface nuclear magnetic resonance

verfasst von: Uttam Singh, Pramod Kumar Sharma

Erschienen in: Environmental Earth Sciences | Ausgabe 1/2024

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Abstract

Surface nuclear magnetic resonance (surface NMR) is a non-invasive method for the direct estimation of groundwater and aquifer properties. It measures nuclear magnetic signals generated by the surface wire loop, excited by radiofrequency pulses, and these signals are recorded using GMR QC software. After that, the pulses of the recorded surface NMR data (raw data) were analyzed, and the noise signals were filtered out to improve the quality of the surface NMR data. The pulse signals are merged into a single surface NMR signal to improve the data quality. The QT (pulse moment time) inversion model was used to estimate the hydraulic conductivity and water content below the groundwater table. The aquifer materials were classified based on the transverse relaxation time (\({T}_{2}^{*}\)), and results were compared with sieve analysis of soil samples. The transverse relaxation time (90–429 ms) indicated the presence of sand material, which complements laboratory results. The relative hydraulic conductivity of different types of soil was estimated by Kozeney's method.

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Metadaten
Titel
Study on aquifer characterization using surface nuclear magnetic resonance
verfasst von
Uttam Singh
Pramod Kumar Sharma
Publikationsdatum
01.01.2024
Verlag
Springer Berlin Heidelberg
Erschienen in
Environmental Earth Sciences / Ausgabe 1/2024
Print ISSN: 1866-6280
Elektronische ISSN: 1866-6299
DOI
https://doi.org/10.1007/s12665-023-11334-y

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