Application of hybrid model-based machine learning for groundwater potential prediction in the north central of Vietnam

HD Nguyen, VH Nguyen, QVV Du, CT Nguyen… - Earth Science …, 2024 - Springer
Groundwater resources are required for domestic water supply, agriculture, and industry,
and the strategic importance of water resources will only increase in the context of climate …

[PDF][PDF] Development and application of hybrid artificial intelligence models for groundwater potential mapping and assessment

HD Hai, HTT Ngo, PT Van, DN Duc… - Vietnam Journal of …, 2022 - scholar.archive.org
Groundwater potential assessment is essential for optimum utilization and recharge of
groundwater resources for the proper development and management of an area. The main …

Groundwater potential mapping combining artificial neural network and real AdaBoost ensemble technique: the DakNong province case-study, Vietnam

PT Nguyen, DH Ha, A Jaafari, HD Nguyen… - International journal of …, 2020 - mdpi.com
The main aim of this study is to assess groundwater potential of the DakNong province,
Vietnam, using an advanced ensemble machine learning model (RABANN) that integrates …

Groundwater potential mapping in the Central Highlands of Vietnam using spatially explicit machine learning

TX Bien, A Jaafari, T Van Phong, PT Trinh… - Earth Science …, 2023 - Springer
The sustainability of water resource management remains challenging in many regions
around the world. Yet while the significance of groundwater potential maps in water …

Optimization of statistical and machine learning hybrid models for groundwater potential mapping

P Yariyan, M Avand, E Omidvar, QB Pham… - Geocarto …, 2022 - Taylor & Francis
Determining areas of high groundwater potential is important for exploitation, management,
and protection of water resources. This study assesses the spatial distribution of …

[HTML][HTML] Locally weighted learning based hybrid intelligence models for groundwater potential mapping and modeling: A case study at Gia Lai province, Vietnam

HPH Yen, BT Pham, T Van Phong, DH Ha… - Geoscience …, 2021 - Elsevier
The groundwater potential map is an important tool for a sustainable water management
and land use planning, particularly for agricultural countries like Vietnam. In this article, we …

Evaluation efficiency of hybrid deep learning algorithms with neural network decision tree and boosting methods for predicting groundwater potential

Y Chen, W Chen, S Chandra Pal, A Saha… - Geocarto …, 2022 - Taylor & Francis
Delineation of the groundwater's potential zones is a growing phenomenon worldwide due
to the high demand for fresh groundwater. Therefore, the identification of potential …

Spatial prediction of groundwater potentiality using machine learning methods with Grey Wolf and Sparrow Search Algorithms

R Liu, G Li, L Wei, Y Xu, X Gou, S Luo, X Yang - Journal of Hydrology, 2022 - Elsevier
Groundwater is considered to be one of the most valuable natural resources in the world.
However, the availability of groundwater is of concern. Therefore, understanding the …

Integrated machine learning and remote sensing for groundwater potential mapping in the Mekong Delta in Vietnam

HD Nguyen, QH Nguyen, DK Dang, TG Nguyen… - Acta Geophysica, 2024 - Springer
Evaluating groundwater potential is critical for the socioeconomic development of Vietnam.
This research aims to assess the underground water potential in the country's Mekong Delta …

Novel hybrid models to enhance the efficiency of groundwater potentiality model

S Talukdar, J Mallick, SK Sarkar, SK Roy… - Applied Water …, 2022 - Springer
The present study aimed to create novel hybrid models to produce groundwater potentiality
models (GWP) in the Teesta River basin of Bangladesh. Six ensemble machine learning …