Estimation of the nonpoint source nitrogen load in a strongly disturbed watershed of the North China Plain
文献类型：期刊论文
| 作者 | Wenzan Li; Xuyong Li; Xinzhong Du ; Xiaoxue Wang |
| 刊名 | Water Science & Technology
 |
| 出版日期 | 2014 |
| 卷号 | 69期号:6页码:1304-1311 |
| 关键词 | Delivered Coefficient Disturbed Watershed Hydraulic Connectivity Nonpoint Source Pollution North China Plain Rural Living |
| DOI | 10.2166/wst.2014.023 |
| 英文摘要 | Identification of nonpoint source (NPS) pollution is a great challenge in the North China Plain, which has modified rivers and insufficient data. In this study, a simple and reasonable method was developed to estimate the total nitrogen (TN) load in rural areas of the North China Plain. The method was found to work well and produce results consistent with monitoring data when considering various TN sources and transfer mechanisms. The annual TN loads from rural living, livestock and the farmlands were 121.9 × 103, 45.6 × 103 and 78.5 × 103 kg/yr, respectively. The TN load in the region along the river contributed much more to the NPS pollution than that in areas far fromthe river, with average TN loads of approximately 3394 and 602 kg km 2 yr 1, respectively. Overall, the results indicate that this method is suitable for NPS load estimates in severely disturbed watersheds with insufficient data. |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/37294]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 推荐引用方式 GB/T 7714 | Wenzan Li; Xuyong Li; Xinzhong Du ; Xiaoxue Wang. Estimation of the nonpoint source nitrogen load in a strongly disturbed watershed of the North China Plain[J]. Water Science & Technology,2014,69(6):1304-1311. |
| APA | Wenzan Li; Xuyong Li; Xinzhong Du ; Xiaoxue Wang.(2014).Estimation of the nonpoint source nitrogen load in a strongly disturbed watershed of the North China Plain.Water Science & Technology,69(6),1304-1311. |
| MLA | Wenzan Li; Xuyong Li; Xinzhong Du ; Xiaoxue Wang."Estimation of the nonpoint source nitrogen load in a strongly disturbed watershed of the North China Plain".Water Science & Technology 69.6(2014):1304-1311. |
入库方式： OAI收割
来源：生态环境研究中心
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