Sze-Mun Lam on Muck Rack

Sze-Mun Lam

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Articles

Seasonal water quality index prediction in Guilin karst water system: an explainable machine learning approach

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By Kun Dong, Yang Huang, Jiayu Yang, Haixiang Li, Dunqiu Wang, Sze-Mun Lam, Jin-Chung Sin
| Nature Verified
Abstract Accurate prediction of the water quality index (WQI) in karst water systems remains challenging due to pronounced seasonal hydrological heterogeneity, dual-porosity flow regimes, and complex multi-factor pollution mechanisms. This study developed a season-stratified, explainable machine-learning framework for the Guilin karst water system (Guangxi, China), based on 208 samples from 104 stations covering the wet (June to August) and dry (December to February) seasons.
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