Spatiotemporal Forecasting of the Groundwater Quality for Irrigation Purposes, Using Deep Learning Method: Long Short-Term Memory (Lstm)

Groundwater use for irrigation – a global inventory

Stefan Siebert, Jacob J. Burke, J.M. Faurès et al. · Hydrology and earth system sciences · 2010 · 1.8K citations · Full text

An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction

Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Sadeq Oleiwi Sulaiman, Ravinesh C. Deo et al. · Journal of Hydrology · 2018 · 675 citations

Engineering, Water Resources, River Flow Forecasting +11

A survey on river water quality modelling using artificial intelligence models: 2000–2020

Tiyasha Tiyasha, Tran Minh Tung, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ · Journal of Hydrology · 2020 · 619 citations

River Water Quality, Engineering, Water Resources +8

Hybrid decision tree-based machine learning models for short-term water quality prediction

Hongfang Lü, Xin Ma · Chemosphere · 2020 · 597 citations

Environmental Monitoring, Engineering, Water Resources +7

Hydrogeochemical characterization and quality assessment of groundwater based on integrated-weight water quality index in a concentrated urban area

Yanyan Gao, Hui Qian, Wenhao Ren et al. · Journal of Cleaner Production · 2020 · 360 citations

Groundwater Quality, Hydrogeology, Engineering +10