Frontiers in Water | Water and Artificial Intelligence

Original Research

Published on 21 May 2025

Research on mobile ultrasonic stratified flow velocity measurement based on machine learning algorithms

in Water and Artificial Intelligence

Shengyang Pu
Haolin Liu
Yinmengke Ba
Zhiqing Chen
Jiawen Yu
Chunliang Cui

Frontiers in Water

doi 10.3389/frwa.2025.1590124

152 views

Original Research

Published on 12 May 2025

Developing an explainable deep learning module based on the LSTM framework for flood prediction

in Water and Artificial Intelligence

Zhi Zhang
Dagang Wang
Yiwen Mei
Jinxin Zhu
Xusha Xiao

Frontiers in Water

doi 10.3389/frwa.2025.1562842

479 views

Original Research

Accepted on 09 May 2025

A hybrid statistical-dynamical forecast of seasonal streamflow for a catchment in the Upper Columbia River basin in Canada

in Water and Artificial Intelligence

Taylor Swift-LaPointe
Rachel H White
Valentina Radic

Frontiers in Water

doi 10.3389/frwa.2025.1595898

Original Research

Accepted on 28 Apr 2025

Operational Response to Contamination in Water Distribution Systems: A Multi-objective Bayesian Optimization Approach

in Water and Artificial Intelligence

Ahmed A Abokifa
Khalid Alnajim

Frontiers in Water

doi 10.3389/frwa.2025.1547112

135 views

Original Research

Accepted on 18 Apr 2025

Downscaling GRACE Total Water Storage Data Using Random Forest: A Three-Round Validation Approach under Drought Conditions

in Water and Artificial Intelligence

Youssef Hamou-Ali
Nourlhouda Karmouda
Ismail Mohsine
Tarik Bouramtane
ILIAS KACIMI
Sarah Tweed
Mounia Tahiri
Nadia Kassou
ALI El Bilali
Omar Chafki

Frontiers in Water

doi 10.3389/frwa.2025.1545821

288 views

Original Research

Published on 18 Dec 2024

Integrating groundwater pumping data with regression-enhanced random forest models to improve groundwater monitoring and management in a coastal region

in Water and Artificial Intelligence

Jamie Kim
Yueling Ma
Reed M. Maxwell

Frontiers in Water

doi 10.3389/frwa.2024.1509945

1,240 views

Original Research

Published on 13 Nov 2024

Convolutional long short-term memory neural network for groundwater change prediction

in Water and Artificial Intelligence

Sumriti Ranjan Patra
Hone-Jay Chu

Frontiers in Water

doi 10.3389/frwa.2024.1471258

1,414 views
2 citations

Correction

Published on 18 Sep 2024

Corrigendum: Advancing non-optical water quality monitoring in Lake Tana, Ethiopia: insights from machine learning and remote sensing techniques

in Water and Artificial Intelligence

Elias S. Leggesse
Fasikaw A. Zimale
Dagnenet Sultan
Temesgen Enku
Seifu A. Tilahun

Frontiers in Water

doi 10.3389/frwa.2024.1489691

575 views

Original Research

Published on 20 Aug 2024

Advancing non-optical water quality monitoring in Lake Tana, Ethiopia: insights from machine learning and remote sensing techniques

in Water and Artificial Intelligence

Elias S. Leggesse
Fasikaw A. Zimale
Dagnenet Sultan
Temesgen Enku
Seifu A. Tilahun

Frontiers in Water

doi 10.3389/frwa.2024.1432280

2,046 views
2 citations

Original Research

Published on 22 May 2024

Improving monthly precipitation prediction accuracy using machine learning models: a multi-view stacking learning technique

in Water and Artificial Intelligence

Mounia El Hafyani
Khalid El Himdi
Salah-Eddine El Adlouni

Frontiers in Water

doi 10.3389/frwa.2024.1378598

2,681 views
2 citations

Original Research

Published on 09 May 2024

Reinforcement learning for watershed and aquifer management: a nationwide view in the country of Mexico with emphasis in Baja California Sur

in Water and Artificial Intelligence

Roberto Ortega
Dana Carciumaru
Alexandra D. Cazares-Moreno

Frontiers in Water

doi 10.3389/frwa.2024.1384595

1,720 views
1 citation

Original Research

Published on 21 Feb 2024

Deep Convolutional LSTM for improved flash flood prediction

in Water and Artificial Intelligence

Perry C. Oddo
John D. Bolten
Sujay V. Kumar
Brian Cleary

Frontiers in Water

doi 10.3389/frwa.2024.1346104

5,424 views
10 citations

Original Research

Published on 26 Jan 2024

Fuzzy C-Means clustering for physical model calibration and 7-day, 10-year low flow estimation in ungaged basins: comparisons to traditional, statistical estimates

in Water and Artificial Intelligence

Andrew DelSanto
Richard N. Palmer
Konstantinos Andreadis

Frontiers in Water

doi 10.3389/frwa.2024.1332888

1,354 views
1 citation

Original Research

Published on 17 Jan 2024

Operational low-flow forecasting using LSTMs

in Water and Artificial Intelligence

Jing Deng
Anaïs Couasnon
Ruben Dahm
Markus Hrachowitz
Klaas-Jan van Heeringen
Hans Korving
Albrecht Weerts
Riccardo Taormina

Frontiers in Water

doi 10.3389/frwa.2023.1332678

3,230 views
1 citation

Original Research

Published on 13 Dec 2023

Investigating machine learning and ensemble learning models in groundwater potential mapping in arid region: case study from Tan-Tan water-scarce region, Morocco

in Water and Artificial Intelligence

Abdessamad Jari
El Mostafa Bachaoui
Soufiane Hajaj
Achraf Khaddari
Younes Khandouch
Abderrazak El Harti
Amine Jellouli
Mustapha Namous

Frontiers in Water

doi 10.3389/frwa.2023.1305998

3,283 views
8 citations

Original Research

Published on 06 Dec 2023

Advancing deep learning-based detection of floating litter using a novel open dataset

in Water and Artificial Intelligence

Tianlong Jia
Andre Jehan Vallendar
Rinze de Vries
Zoran Kapelan
Riccardo Taormina

Frontiers in Water

doi 10.3389/frwa.2023.1298465

2,937 views
7 citations