Frontiers in Water | Water and Artificial Intelligence

Mini Review

Accepted on 15 Sep 2025

Core Technologies for Hydropower Digitalization within the Energy Internet Framework: A Mini-Review

in Water and Artificial Intelligence

Tingxiang Cao
Song Gao
Xiangjian Shi
Li Mo
Bing Zhang
Jingan Zhu

Frontiers in Water

doi 10.3389/frwa.2025.1681345

118 views

Original Research

Published on 26 Aug 2025

Quantifying hydrological connectivity in inland arid regions using transfer entropy and multi-source data

in Water and Artificial Intelligence

Qingling Bao
Lei Zhong
Jiao Tan

Frontiers in Water

doi 10.3389/frwa.2025.1622980

787 views

Editorial

Published on 27 Jun 2025

Editorial: Harnessing artificial intelligence to address climate-induced challenges in water resources management

in Water and Artificial Intelligence

Minxue He
Evangelos Rozos

Frontiers in Water

doi 10.3389/frwa.2025.1637341

1,351 views
1 citation

Original Research

Published on 09 Jun 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 Radić

Frontiers in Water

doi 10.3389/frwa.2025.1595898

1,225 views

Original Research

Published on 30 May 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

2,634 views

Original Research

Published on 23 May 2025

Operational response to contamination in water distribution systems: a multi-objective Bayesian optimization approach

in Water and Artificial Intelligence

Khalid Alnajim
Ahmed A. Abokifa

Frontiers in Water

doi 10.3389/frwa.2025.1547112

954 views

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

997 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

1,345 views
1 citation

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

1,929 views
1 citation

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

2,469 views
3 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

811 views
1 citation

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

2,895 views
4 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

3,995 views
5 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

2,273 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

7,445 views
14 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

1,856 views
2 citations