Massive withdrawal of groundwater resources due to population growth and rapid
industrialization has led to seawater intrusion into the coastal aquifers across the globe. The …

The inverse problem of electrical resistivity surveys (ERSs) is difficult because of its
nonlinear and ill-posed nature. For this task, traditional linear inversion methods still face …

Groundwater potential map** (GWPM) in the coastal zone is crucial for the planning and
development of society and the environment. The current study is aimed to map the …

Predictive modeling of hydrological time series is essential for groundwater resource
development and management. Here, we examined the comparative merits and demerits of …

During the past few years, the number of regional and national assessments of groundwater
quality in regard to saltwater intrusion in coastal aquifers has increased steadily. However …

This paper describes the application of a comprehensive surface geophysical investigation
of underground karst systems ahead of the tunnel face in the **aoheyan section in the main …

Probabilistically formulated inverse problems can be solved using Monte Carlo-based
sampling methods. In principle, both advanced prior information, based on for example …

The traditional artificial neural network (ANN) inversion of electrical resistivity imaging (ERI)
based on gradient descent algorithm is known to be inept for its low computation efficiency …

This article first presents machine-learning (ML) inversion of resistivity profiles from
multifrequency electromagnetic measurements on undulating terrain surfaces based on …

The inverse parameter's estimation of unsaturated seepage models is important to ensure
the safety of earth dams, while most existing studies determine the hydraulic characteristics …