Convolutional neural network and long short-term memory algorithms for groundwater potential mapping in Anseong, South Korea

Convolutional neural network and long short-term memory algorithms for groundwater potential mapping in Anseong, South Korea

Study region: The study area was the Anseong-si area that located in the southernmost part of Gyeonggi-do Province at 127°19′ E, 36°82′ N. Anseong has a transitional climate between that the north and the south regions. Its climate is characterized by the geographical conditions of forming expansive...

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Bibliographic Details
Main Authors:	Wahyu Luqmanul Hakim, Arip Syaripudin Nur, Fatemeh Rezaie, Mahdi Panahi, Chang-Wook Lee, Saro Lee
Format:	Article
Language:	English
Published:	Elsevier 2022-02-01
Series:	Journal of Hydrology: Regional Studies
Subjects:	Groundwater Potential mapping Convolutional neural network (CNN) Long short-term memory (LSTM)
Online Access:	http://www.sciencedirect.com/science/article/pii/S2214581822000039

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