Contaminant source identification in groundwater by means of artificial neural network-Reference-Cited by-同舟云学术

Contaminant source identification in groundwater by means of artificial neural network

Published:2022-08 Issue: Volume:611 Page:128003
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Secci Daniele,Molino Laura,Zanini Andrea

Funder

European Commission

Partnership for Research and Innovation in the Mediterranean Area

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference33 articles.

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3. Inverse modeling of contaminant transport for pollution source identification in surface and groundwaters: a review;Barati Moghaddam;Groundw. Sustain. Dev.,2021

4. Simultaneous identification of the pollutant release history and the source location in groundwater by means of a geostatistical approach;Butera;Stoch. Environ. Res. Risk Assess.,2013

5. Simultaneous identification of groundwater pollution source location and release concentration using Artificial Neural Network;Chaubey;Environ. Forensics,2020

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