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Principle of superposition versus control volume finite difference approach in analyzing the step-drawdown test data

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Abstract

A nonlinear partial differential equation is required for representing groundwater flow in an unconfined aquifer. In pumping tests, analytical models use the linearized version of Boussinesq’s flow equation with the principle of superposition to incorporate the effects of time-varying pumping rate and boundary conditions for estimating aquifer properties. This linearized assumption along with other simplified site conditions could generate significant errors in estimated aquifer properties. Numerical models often are capable of handling complex site conditions and used the control volume finite difference method for simulating groundwater flow. The objective of this study is to investigate the differences in estimations by these two methods when they are used with step-drawdown test data. Pumping and recovery groundwater levels recorded in a pumping well and two monitoring wells were analyzed using analytical and numerical methods. The location of these wells near a stream provided a unique opportunity to investigate the application of the principle of superposition in space. The analytical model performed well in calculating drawdown in individual wells but failed to produce a common set of aquifer properties for all three wells. In particular, transmissivity values show approximately a 47% difference among the three wells. Finer grid resolutions along with the control volume finite difference method in numerical modeling were able to calibrate a set of aquifer properties that simulate drawdown curves during both pumping and recovery tests in all three wells. Moreover, the results depicted that the boundary effect on estimated aquifer properties attenuates as the distance from the boundary increases.

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Data availability

Due to the sensitive nature of the airport facility, raw data would remain confidential, and authors have no permission to be shared.

Code availability

Groundwater Modeling System (GMS) used in this study is commercially available. AQTESOLV is freely accessible from http:// www.aqtesolv.com/demo.htm

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Acknowledgements

Authors are grateful to Oman Airport Management Company (OAMC) for funding the project (CR/ENG/CAED/17/01) and their support in data collection.

Funding

Authors are grateful to Oman Airport Management Company (OAMC) for funding the project (CR/ENG/CAED/17/01) and their support in data collection.

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Contributions

LG: conceptualization, methodology, formal analysis, writing—original draft, project administration. SA: validation, investigation. AS: methodology, resources & editing. MB: resources, review & editing, funding acquisition.

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Correspondence to L. N. Gunawardhana.

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The authors have no relevant financial or non-financial interests to disclose.

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This article does not contain any studies with human participants or animals performed by any of the authors.

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Editorial responsibility: Samareh Mirkia.

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Gunawardhana, L.N., Ahmed, S., Sana, A. et al. Principle of superposition versus control volume finite difference approach in analyzing the step-drawdown test data. Int. J. Environ. Sci. Technol. 21, 3913–3926 (2024). https://doi.org/10.1007/s13762-023-05254-4

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  • DOI: https://doi.org/10.1007/s13762-023-05254-4

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