Flow and transport parameter estimation of a confined aquifer using simulation–optimization model

This study aims to analyze the trend of carbon dioxide CO2 emissions from various sources in Pakistan between 1990 and 2020 to effectively model the underlying dynamics of carbon emissions. The design and fitting of the model to historical emissions data reveal significant trends and patterns, highlighting the alarming increase in CO2 emissions. These findings underscore the necessity for robust policy interventions to mitigate emissions and achieve sustainable development goals (SDGs). This work can contribute to addressing the challenges of recent plans targeting global warming and the climate emergency. By controlling these parameters, the mean reversion can be managed, allowing for the control of the increasing rate of carbon emissions in regions threatened by climate change. The O-U model provides a valuable framework for understanding the stochastic nature of carbon emissions, offering insights into the persistence and variability of emission levels over time. The optimized parametric thresholds of the stochastic model, after synchronizing it with the real data, reveal that the challenge of carbon emissions cannot be naturally resolved and serious interventions are highly desired. These include robust policy measures to mitigate emissions, improve air quality, and combat climate change.

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Weighted joint curve inversion of aquifer parameters in pumping tests with multiple observation wells

Li,

Wang,

et al. 2024

Preprint

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Accurately calculating hydrogeological parameters is crucial for evaluating and managing groundwater resources. Pumping tests are primarily used to obtain aquifer parameters, the accuracy of which directly influences the assessment of regional hydrogeological conditions, as well as the subsequent development, utilization, protection, and management of groundwater resources. Traditional unsteady flow methods are limited by subjective influences and non-uniqueness in parameter determination, resulting in aquifer parameters that are dependent on the estimation method and observation well locations. This presents a significant challenge for optimal parameter selection. In this study, a weighted joint curve method (WJCM) based on Theis equation and optimization theory was developed that simultaneously considers both the pumping and recovery stages of field tests. The WJCM can be applied to determine unique aquifer parameters in pumping tests involving multiple observation wells and can be implemented rapidly using Excel. Actual pumping test data in a confined aquifer were used to compare results obtained from the proposed method with those obtained from three traditional parameter estimation methods. The results indicate that the WJCM produces reliable results and unique parameters, is highly efficient, and is easily implemented. These findings have theoretical and practical implications for pumping test parameter inversion, relevant software development, and the evaluation and management of groundwater resources.

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Flow and transport parameter estimation of a confined aquifer using simulation–optimization model

Cited by 3 publications

References 29 publications

Groundwater contaminant source identification using swarm intelligence-based simulation optimization models

Groundwater contaminant source identification using swarm intelligence-based simulation optimization models

Controlling carbon emissions through modeling and optimization: addressing an earth system and environment challenge

Weighted joint curve inversion of aquifer parameters in pumping tests with multiple observation wells

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