Quantifying the Relationships of Impact Factors on Non-Point Source Pollution Using the Boosted Regression Tree Algorithm
文献类型：期刊论文
| 作者 | Zhang, Wei1; Sun, Feng-Yun2; Liu, Miao3; Li, Chun-Lin3 |
| 刊名 | POLISH JOURNAL OF ENVIRONMENTAL STUDIES
 |
| 出版日期 | 2017 |
| 期号 | 1页码:403-411 |
| 关键词 | non-point source pollution boosted regression tree SWAT model impact factors |
| WOS记录号 | WOS:000394830000043 |
| 源URL | [http://210.72.129.5/handle/321005/86664]  |
| 专题 | 沈阳应用生态研究所_沈阳应用生态研究所_期刊论文 |
| 作者单位 | 1.Shenyang Agr Univ, Coll Land & Environm, Shenyang 110866, Peoples R China 2.East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China 3.Chinese Acad Sci, Inst Appl Ecol, Shenyang 110164, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Wei,Sun, Feng-Yun,Liu, Miao,et al. Quantifying the Relationships of Impact Factors on Non-Point Source Pollution Using the Boosted Regression Tree Algorithm[J]. POLISH JOURNAL OF ENVIRONMENTAL STUDIES,2017(1):403-411. |
| APA | Zhang, Wei,Sun, Feng-Yun,Liu, Miao,&Li, Chun-Lin.(2017).Quantifying the Relationships of Impact Factors on Non-Point Source Pollution Using the Boosted Regression Tree Algorithm.POLISH JOURNAL OF ENVIRONMENTAL STUDIES(1),403-411. |
| MLA | Zhang, Wei,et al."Quantifying the Relationships of Impact Factors on Non-Point Source Pollution Using the Boosted Regression Tree Algorithm".POLISH JOURNAL OF ENVIRONMENTAL STUDIES .1(2017):403-411. |
入库方式： OAI收割
来源：沈阳应用生态研究所
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