Assessing the Performance of Machine Learning Algorithms for Water Level Prediction in the Chao Phraya River and its Tributaries: A Focus on Low and High Water Levels DOI

Wilmat D.S.M. Priyasiri,

Areeya Rittima,

Jidapa Kraisangka

et al.

Published: Jan. 1, 2024

Language: Английский

Integrating multisource data and machine learning for supraglacial lake detection: Implications for environmental management and sustainable development goals in high mountainous regions DOI

Hajra Mustafa,

Aqil Tariq, Hong Shu

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122490 - 122490

Published: Sept. 24, 2024

Language: Английский

Citations

11
Spatio-Temporal Analysis of Hydrometeorological Variables for Terrestrial and Groundwater Storage Assessment DOI
Muhammad Shareef Shazil, Sheharyar Ahmad, Syed Amer Mahmood

et al.

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 27, P. 101333 - 101333

Published: Sept. 4, 2024

Language: Английский

Citations

8
Enhancing prediction of dissolved oxygen over Santa Margarita River: Long short-term memory incorporated with multi-objective observer-teacher-learner optimization DOI
Siyamak Doroudi, Yusef Kheyruri, Ahmad Sharafati

et al.

Journal of Water Process Engineering, Journal Year: 2025, Volume and Issue: 70, P. 106969 - 106969

Published: Jan. 11, 2025

Language: Английский

Citations

1
Enhancing crop production resilience: nonlinear modeling of agricultural risk using the crop cultivation risk index DOI
Farhang Rahmani

Earth Science Informatics, Journal Year: 2025, Volume and Issue: 18(1)

Published: Jan. 1, 2025

Language: Английский

Citations

0
An Interpretable XGBoost-SHAP Machine Learning Model for Reliable Prediction of Mechanical Properties in Waste Foundry Sand-Based Eco-Friendly Concrete DOI Creative Commons
Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104307 - 104307

Published: Feb. 1, 2025

Language: Английский

Citations

0
Integrating Climate Indices and Land Use Practices for Comprehensive Drought Monitoring in Syria: Impacts and Implications DOI Creative Commons
Shifa Mathbout, Georgios Boustras, Pierantonios Papazoglou

et al.

Environmental and Sustainability Indicators, Journal Year: 2025, Volume and Issue: unknown, P. 100631 - 100631

Published: Feb. 1, 2025

Language: Английский

Citations

0
Future of Farming: A Review of Artificial Intelligence Applications in Agricultural Production and Processing DOI
Girma Ashe, Deribe Mengistu

Deleted Journal, Journal Year: 2025, Volume and Issue: 3(1), P. 82 - 91

Published: Feb. 22, 2025

Language: Английский

Citations

0
Assessment of Three Satellite Precipitation Products for Hydrological Studies in a Data-Scarce Context: Ouarzazate Basin, Southern Morocco DOI Creative Commons

Khalid En-nagre,

Mourad Aqnouy,

Abdelmounim Bouadila

et al.

Natural Hazards Research, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

0
Forecasting of meteorological drought using ensemble and machine learning models DOI Creative Commons

Chaitanya Baliram Pande,

Lariyah Mohd Sidek, Abhay M. Varade

et al.

Environmental Sciences Europe, Journal Year: 2024, Volume and Issue: 36(1)

Published: Sept. 11, 2024

Language: Английский

Citations

3
Impact of Land Use Dynamics on the Water Yields in the Gorgan River Basin DOI Creative Commons

Masoomeh Yaghoobi,

Aram Fathi,

Shahryar Fazli

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(16), P. e35674 - e35674

Published: Aug. 1, 2024

This research investigates the future dynamics of water yield services in Gorgan River Basin North Iran by analyzing land cover changes from 1990 to 2020, using Landsat images and predicting up 2040 with Land Change Modeler InVEST model under three scenarios: continuation, conservation, mitigation. The results indicate significant shifts agricultural impacted yields, which fluctuated 324.7 million cubic meters (MCM) 279.7 MCM 2010, before rising 320.1 2020. study uniquely assesses effects use on projecting a 13.6 % increase continuation scenario, 3.9 1.6 decrease mitigation, limits steep slopes prevent soil erosion floods. underscores interplay between use, vegetation cover, yield, emphasizing strategic management for resource preservation effective watershed GRB.

Language: Английский

Citations

2