| 密云水库流域非点源污染识别 | |
| 苏保林 ; 王建平 ; 贾海峰 ; 程声通 ; 杨忠山 ; 武佃卫 ; 孙峰 ; SU Baolin ; WANG Jianping ; JIA Haifeng ; CHENG Shengtong ; YANG Zhongshan ; WU Dianwei ; SUN Feng | |
| 2010-06-10 ; 2010-06-10 | |
| 关键词 | 非点源 时空变化 负荷关键区 情景分析 non-point source temporal and spatial variation nitrogen and phosphorous loadings scenario analysis X524 |
| 其他题名 | Identification of non-point source pollution in the Miyun Reservoir watershed |
| 中文摘要 | 采用经过参数率定和模型验证的密云水库流域非点源SW AT模型系统,对非点源污染时空变化、负荷关键区进行了识别,并针对不同的流域管理情景进行了情景分析。丰水年和平水年非点源污染流失主要发生在汛期,在枯水年时汛期流失比例有所降低。农牧业活动发达的区域是非点源污染流失的关键区域,森林和草地区域非点源污染流失则较低。削减畜禽养殖排放污染物和减少化肥的使用,能有效地降低潮河流域TN、TP入库负荷,并能一定程度上削减白河流域TP入库负荷,但对TN入库负荷削减较少。削减大阁镇、赤城县城生活点源入河量对降低潮、白河TN入库负荷影响较小,但对降低TP入库负荷影响较大。; A non-point source(NPS) pollution modeling system,the soil water and assessment tools for the Miyun Reservoir watershed,was used to identify temporal and spatial variations of NPS pollution in the watershed and to evaluate three pollution control scenarios.Soil and nutrient losses predominantly occurs during the flooding season,with nutrient losses during the flooding season reduced in dry hydrological years.Developed areas of agricultural and livestock production are key areas for NPS loadings,while areas covered by forests and grassland contributing less to the NPS loadings.Cutting livestock discharges and reducing fertilizer applications can efficiently reduce total nitrogen and total phosphorous loadings in the Chao River sub-watershed and can partially reduce total phosphorous loadings in the Bai River sub-watershed,but will have little effect in the total nitrogen loadings.Cutting domestic point sources in the towns of Dage and Chicheng will reduce total phosphorous loadings,but will have less effect on total nitrogen loadings.; 国家自然科学基金资助项目(50209007) |
| 语种 | 中文 ; 中文 |
| 内容类型 | 期刊论文 |
| 源URL | [http://hdl.handle.net/123456789/65830]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | 苏保林,王建平,贾海峰,等. 密云水库流域非点源污染识别[J],2010, 2010. |
| APA | 苏保林.,王建平.,贾海峰.,程声通.,杨忠山.,...&SUN Feng.(2010).密云水库流域非点源污染识别.. |
| MLA | 苏保林,et al."密云水库流域非点源污染识别".(2010). |
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