Solving Inverse Problems of Unknown Contaminant Source in Groundwater-River Integrated Systems Using a Surrogate Transport Model Based Optimization
The paper presents a new approach to identify the unknown characteristics (release history and location) of contaminant sources in groundwater, starting from a few concentration observations at monitoring points. An inverse method that combines the forward model and an optimization algorithm is pres...
Main Authors: | Azade Jamshidi, Jamal Mohammad Vali Samani, Hossein Mohammad Vali Samani, Andrea Zanini, Maria Giovanna Tanda, Mehdi Mazaheri |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-08-01
|
Series: | Water |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4441/12/9/2415 |
Similar Items
-
Increasing Computational Efficiency of Inverse Transient Analysis for Leak Detection using GA-Kriging Surrogate Model
by: Saeed Sarkamaryan, et al.
Published: (2020-07-01) -
Inversion-based identification of DNAPLs-contaminated groundwater based on surrogate model of deep convolutional neural network
by: Tiansheng Miao, et al.
Published: (2023-01-01) -
An Adaptive Surrogate-Assisted Simulation-Optimization Method for Identifying Release History of Groundwater Contaminant Sources
by: Mengtian Wu, et al.
Published: (2022-05-01) -
Evaluating the effects of climate change on groundwater level in the Varamin plain
by: Hamidreza Azizi, et al.
Published: (2021-05-01) -
Groundwater contaminant source identification considering unknown boundary condition based on an automated machine learning surrogate
by: Yaning Xu, et al.
Published: (2024-01-01)