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...
Saved in:
Main Authors: | , , , , , , , , , |
---|---|
Other Authors: | |
Format: | Article |
Published: |
MDPI AG
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
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 |
---|