SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Quantifying the relationships of impact factors on non-point source pollution using the Boosted Regression Tree Algorithm 
Authors:Zhang, W., F.-Y. Sun, M. Liu and C.-L. Li 
Year:2017 
Journal:Polish Journal of Environmental studies 
Volume:26(1) 
Pages:403-411 
Article ID: 
DOI:10.15244/pjoes/64381 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic & pollutant 
Primary Application Category:critical source area assessment 
Secondary Application Category:sediment loss and transport 
Watershed Description:1,037.66 km^2 Fan River, a tributary of the Liao River located in northeast China. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Language:English 
Keywords:non-point source pollution, boosted regression tree, SWAT model, impact factors