semantic_scholarWater Research2026-08-15
Comparing AI-driven approaches for predicting river water quality: a systematic review of water quality indices and remote sensing methods.
Gomal Amin, O. Pourret, Victor Dupin, S. Guérin-Rechdaoui, Arnaud Dujany
TL;DR: Overall, this review identifies inconsistent preprocessing protocols, and the absence of standardised benchmarking as critical barriers to the transferability and operational reliability of current RWQ prediction frameworks.
River water quality (RWQ) monitoring faces growing challenges from geographical data gaps, methodological inconsistencies, and limited uncertainty quantification in predictive modelling frameworks. This systematic review aims to critically synthesise, compare, and identify knowle…