Influencing factor analysis of phosphorus loads from non-point source: a case study in central China
Influencing factor analysis of phosphorus loads from non-point source: a case study in central China
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面源磷负荷影响因素分析——以中部地区为例
DOI：
10.1007/s10661-015-4946-z
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发表时间：
2015-10
影响因子：
3
通讯作者：
Zhang Liang
中科院分区：
文献类型：
--
作者：
Zhuang Yanhua;Hong Song;Zhan F. Benjamin;Zhang Liang
非点源污染影响因素分析对采取有效的水污染控制措施具有重要意义。本研究采用自组织映射网络(SOM)和线性模型分析方法，从定性和定量两方面分析了总磷负荷与影响因素之间的关系。土地利用类型、地形和植被盖度是影响汤逊流域总磷输出的主要因素。选取坡度和归一化植被指数(NDVI)分别作为地形和植被盖度的特征指数。就整个流域而言，对于特定的土地利用类型，高TP负荷主要分布在高坡度、低植被覆盖的地区。对于不同的土地类型，坡度显著影响荒地/裸地和林地/绿地的TP负荷输出，而NDVI影响林地/绿地和农田的TP负荷输出。在多因素分析中，坡度和NDVI对总磷负荷的综合影响表现为荒地/裸地&绿地；林地/绿地&绿地；农田&城市建设用地。
The influence factor analysis for non-point source (NPS) pollution is very important to taking effective water pollution control measures. In this study, the self-organizing map (SOM) and linear model analysis were used to analyze the relationships between total phosphorus (TP) loads and influencing factors, both qualitatively and quantitatively. The land-use type, topography, and vegetation coverage were the main factors influencing the export of TP loads in Tangxun watershed. Slope and normalized difference vegetation index (NDVI) were chosen as characteristic indices of topography and vegetation coverage, respectively. For the whole watershed, the high TP loads were mainly distributed in areas with high slope and low vegetation coverage for a specific land-use type. For different land types, the slope significantly influenced the export of TP loads in waste/bare land and forest/green land while NDVI influenced the export of TP loads in forest/green land and farmland. In terms of multi-factor analysis, the comprehensive influence of slope and NDVI on TP loads showed as waste/bare land > forest/green land > farmland > rural/urban construction land.
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中国土壤侵蚀面源污染负荷估算（二）
影响因子：
--
作者：
Dengxing Fan;Xinxiao Yu;Xizhi Lv;Qingyun Li
通讯作者：
Qingyun Li
影响因子：
2.8
作者：
Dogun Kim;Kwon Jeong;S. Ko
通讯作者：
Dogun Kim;Kwon Jeong;S. Ko
DOI：
--
发表时间：
2002
期刊：
--
影响因子：
--
作者：
S. Zhihua
通讯作者：
S. Zhihua
影响因子：
3.8
作者：
Yi Chen;Jiabing Shuai;Zhao Zhang;P. Shi;F. Tao
通讯作者：
Yi Chen;Jiabing Shuai;Zhao Zhang;P. Shi;F. Tao
影响因子：
3.5
作者：
Brett, MT;Arhonditsis, GB;Funke, DE
通讯作者：
Funke, DE