A multi-scale framework for BOD5 prediction from water quality to hydro-geomorphic interpolation
Amin Arzhangi, Sadegh Partani
原始摘要(英文原文)· Original abstract
= 0.941, root-mean-squared error [RMSE] = 2.06), significantly outperforming conventional regression models. The findings demonstrate that HyRIM is a powerful tool for generating high-resolution pollution maps and designing more efficient monitoring strategies in complex river systems.