Abstract
All human needs are met primarily by groundwater, which accounts for more than 60% of all available water resources on the planet. As a result, a study of groundwater patterns (fluctuations) for current and future conditions is required. Groundwater fluctuation prediction is one of the most difficult components of the modeling process because it involves a large number of constraints such as aquifer storage, transmissibility, precipitation, evaporation, and aquifer yielding. It has been shown that integral transformations are a useful tool for resolving mathematical issues in different scientific fields and applied contexts, such as those of fields of study such as chemistry, biology, physics, and technology. In this study, we develop transform integrals in a new way, dubbed the “M-transform,” and investigate its fundamental definitions and theorems. The fuzzy M-transform is used in this study to anticipate groundwater variation. By removing the limited link between the parameters and time, the proposed optimal fuzzy M-transform model is extremely effective for predicting and forecasting groundwater variation. The model is ideally suited to developing management policies for an effective groundwater management system.
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Mustafa, M.A., Kadham, S.M., Abbass, N.K. et al. A novel fuzzy M-transform technique for sustainable ground water level prediction. Appl Geomat 16, 9–15 (2024). https://doi.org/10.1007/s12518-022-00486-4
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DOI: https://doi.org/10.1007/s12518-022-00486-4