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...

詳細記述

書誌詳細
主要な著者: Maldonado González, Ana Devaki, Morales Giraldo, María, Navarro Martínez, Francisco, Sánchez Martos, Francisco, Aguilera Aguilera, Pedro
フォーマット: info:eu-repo/semantics/article
言語:English
出版事項: MDPI 2022
主題:
Bayesian networks
artificial neural networks
groundwater temperature
classification
semiarid areas
オンライン･アクセス:http://hdl.handle.net/10835/13264

インターネット

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

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