Water quality prediction model based support vector machine model for ungauged river catchment under dual scenarios

Ammonia; Biochemical oxygen demand; Catchments; Dissolved oxygen; Forecasting; Reservoirs (water); River pollution; Rivers; Runoff; Support vector machines; Water pollution control; Water quality; 10-fold cross-validation; Biochemical oxygen demands (BOD); Correlation coefficient; Environmental stan...

Full description

Saved in:
Bibliographic Details
Main Authors: Yahya A.S.A., Ahmed A.N., Othman F.B., Ibrahim R.K., Afan H.A., El-Shafie A., Fai C.M., Hossain M.S., Ehteram M., Elshafie A.
Other Authors: 57206338836
Format: Article
Published: MDPI AG 2023
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Ammonia; Biochemical oxygen demand; Catchments; Dissolved oxygen; Forecasting; Reservoirs (water); River pollution; Rivers; Runoff; Support vector machines; Water pollution control; Water quality; 10-fold cross-validation; Biochemical oxygen demands (BOD); Correlation coefficient; Environmental standards; Support vector machine models; Water quality parameters; Water quality predictions; Water resources management; Quality control; accuracy assessment; catchment; error analysis; model validation; numerical model; prediction; support vector machine; water quality; Langat Basin; Malaysia; West Malaysia