Modeling Semi-Arid River-Aquifer Systems With Bayesian Networks and Artificial Neural Networks

Modeling Semi-Arid River-Aquifer Systems With Bayesian Networks and Artificial Neural Networks

In semiarid areas, precipitations usually appear in the form of big and brief floods, which affect the aquifer through water infiltration, causing groundwater temperature changes. These changes may have an impact on the physical, chemical and biological processes of the aquifer and, thus, modeling t...

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Hlavní autoři: Maldonado González, Ana Devaki, Morales Giraldo, María, Navarro Martínez, Francisco, Sánchez Martos, Francisco, Aguilera Aguilera, Pedro
Médium: info:eu-repo/semantics/article
Jazyk:English
Vydáno: MDPI 2022
Témata:
Bayesian networks
artificial neural networks
groundwater temperature
classification
semiarid areas
On-line přístup:http://hdl.handle.net/10835/13264

Internet

http://hdl.handle.net/10835/13264

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