Inverse modeling of contaminant transport for pollution source identification in surface and groundwaters: a review

MB Moghaddam, M Mazaheri, JMV Samani - Groundwater for Sustainable …, 2021 - Elsevier
Fast and accurate identification of unknown pollution sources is a crucial and challenging
task in water resources management, in which the characteristics of unknown pollution …

Identification of a point source in a linear advection–dispersion–reaction equation: application to a pollution source problem

A El Badia, T Ha-Duong, A Hamdi - Inverse Problems, 2005 - iopscience.iop.org
We consider the problem of identification of a pollution source in a river. The mathematical
model is a one-dimensional linear advection–dispersion–reaction equation with the right …

Particle swarm optimization-based source seeking

R Zou, V Kalivarapu, E Winer, J Oliver… - IEEE Transactions …, 2015 - ieeexplore.ieee.org
The task of locating a source based on the measurements of the signal emitted/emanating
from it is called the source-seeking problem. In the past few years, there has been a lot of …

A convergent numerical method to recover the initial condition of nonlinear parabolic equations from lateral Cauchy data

TTT Le, LH Nguyen - Journal of Inverse and Ill-posed Problems, 2022 - degruyter.com
We propose a new numerical method for the solution of the problem of the reconstruction of
the initial condition of a quasilinear parabolic equation from the measurements of both …

Identification of source locations in two-dimensional heat equations

L Ling, M Yamamoto, YC Hon, T Takeuchi - Inverse Problems, 2006 - iopscience.iop.org
In this paper, we show the uniqueness of the identification of unknown source locations in
two-dimensional heat equations from scattered measurements. Based on the assumption …

[HTML][HTML] Dynamical sampling: Time–space trade-off

A Aldroubi, J Davis, I Krishtal - Applied and Computational Harmonic …, 2013 - Elsevier
We consider the problem of spatiotemporal sampling in which an initial state of an evolution
process is to be recovered from a set of samples at different time levels. We are particularly …

Fourier method for recovering acoustic sources from multi-frequency far-field data

X Wang, Y Guo, D Zhang, H Liu - Inverse Problems, 2017 - iopscience.iop.org
We consider an inverse source problem of determining a source term in the Helmholtz
equation from multi-frequency far-field measurements. Based on the Fourier series …

Fourier method for solving the multi-frequency inverse source problem for the Helmholtz equation

D Zhang, Y Guo - Inverse Problems, 2015 - iopscience.iop.org
We consider an inverse source problem for the Helmholtz equation. This is concerned with
the reconstruction of an unknown source from multi-frequency data obtained from the …

Fast acoustic source imaging using multi-frequency sparse data

A Alzaalig, G Hu, X Liu, J Sun - Inverse Problems, 2020 - iopscience.iop.org
We consider the acoustic source imaging problems in using multiple frequency data at
sparse directions/points. Using at most n observation directions/points, we show that the size …

Sampling and reconstructing diffusion fields with localized sources

J Ranieri, A Chebira, YM Lu… - 2011 IEEE International …, 2011 - ieeexplore.ieee.org
We study the spatiotemporal sampling of a diffusion field generated by K point sources,
aiming to fully reconstruct the unknown initial field distribution from the sample …