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 (Issue): | 26(1) |
Pages: | 403-411 |
Article ID: | |
DOI: | 10.15244/pjoes/64381 |
URL (non-DOI journals): | |
Model: | SWAT |
Broad Application Category: | hydrologic and 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 |