Quantifying the Relationships of Impact Factors on Non-Point Source Pollution Using the Boosted Regression Tree Algorithm

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Quantifying the Relationships of Impact Factors on Non-Point Source Pollution Using the Boosted Regression Tree Algorithm

Non-point source (NPS) pollution contributes greatly to the contamination of surface water quality and has aroused widespread concerns. NPS pollution is influenced by a multitude of site-related factors whose effects are complicated. We estimated NPS pollution with a soil and water assessment tool (SWAT) model in China’s Fan River watershed. A new method, boosted regression tree (BRT), was prop...

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ژورنال

عنوان ژورنال: Polish Journal of Environmental Studies

سال: 2017

ISSN: 1230-1485,2083-5906

DOI: 10.15244/pjoes/64381