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...

Deskribapen osoa

Xehetasun bibliografikoak
Egile Nagusiak: Maldonado González, Ana Devaki, Morales Giraldo, María, Navarro Martínez, Francisco, Sánchez Martos, Francisco, Aguilera Aguilera, Pedro
Formatua: info:eu-repo/semantics/article
Hizkuntza:English
Argitaratua: MDPI 2022
Gaiak:
Bayesian networks
artificial neural networks
groundwater temperature
classification
semiarid areas
Sarrera elektronikoa:http://hdl.handle.net/10835/13264

Internet

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

Antzeko izenburuak