Inversion-based identification of DNAPLs-contaminated groundwater based on surrogate model of deep convolutional neural network

Inversion-based identification of DNAPLs-contaminated groundwater based on surrogate model of deep convolutional neural network

This paper combines theoretical analysis with practical examples to examine outstanding issues in research on the inversion-based identification of dense non-aqueous phase liquids (DNAPLs) in groundwater. We first generalize the relevant geological and hydrogeological conditions to establish a conce...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Tiansheng Miao, Jiayuan Guo, Guanghua Li, He Huang
Format: Artykuł
Język:English
Wydane: IWA Publishing 2023-01-01
Seria:Water Supply
Hasła przedmiotowe:
deep learning
groundwater
inversion-based identification
surrogate model
Dostęp online:http://ws.iwaponline.com/content/23/1/129

Internet

http://ws.iwaponline.com/content/23/1/129

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