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巢湖周边表土中有机质、全氮和全磷空间分布及其相关性
摘要点击 3679  全文点击 1661  投稿时间:2011-11-02  修订日期:2012-01-11
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中文关键词  巢湖周边  表土  营养盐  空间分布  相关性
英文关键词  Chaohu Lake surrounding area  topsoil  nutrient  spatial distribution  correlation
作者单位E-mail
陈书琴 中国矿业大学地球与测绘学院, 北京 100083
中国环境科学研究院湖泊研究中心, 北京 100012
安徽省安庆师范学院资源环境学院, 安庆 246011 
chenshq@aqtc.edu.cn 
储昭升 中国环境科学研究院湖泊研究中心, 北京 100012  
胡社荣 中国矿业大学地球与测绘学院, 北京 100083 hsr8516@163.com 
刘俊 安徽省安庆师范学院资源环境学院, 安庆 246011  
王长春 中国环境科学研究院湖泊研究中心, 北京 100012  
王曼 安徽省安庆师范学院资源环境学院, 安庆 246011  
中文摘要
      测定了巢湖周边3528 km2范围内60个混合土样中的有机质(organic matter, OM)、全氮(total nitrogen, TN)和全磷(total phosphorus, TP)含量,通过GS 7.0+地统计学分析软件、Surfer 8.0及Mapinfo 8.5软件研究了这3种营养盐的空间分布,并使用SPSS 17.0软件对各指标间的相关性进行了分析. 结果表明:1巢湖周边表土中ω(OM)、ω(TN)和ω(TP)平均值依次为19500、1027和483mg·kg-1,东巢湖表土中ω(OM)和ω(TN) 均值高于西巢湖,而磷矿的存在导致了ω(TP)均值西高东低; 2位于巢湖西南的杭埠-丰乐河和白石天河周边表土中(TP)本底值较高,且水土流失十分严重,巢湖面源污染管理必须高度重视该两河的TP控制; 3在线性模型下,巢湖周边表土中ω(OM)、ω(TN)和ω(TP)的块金值/基台值依次为0.015、0.202和0.128. 巢湖周边表土中ω(OM)、ω(TN)和ω(TP)具有极强的空间自相关性,三者Pearson检验为两两显著相关,巢湖周边表土中ω(TN)和ω(TP)可由ω(OM)通过文中所得的公式估算,精度能满足日常管理需要.
英文摘要
      Sixty topsoil composite samples (0-20 cm) have been collected in 3258 km2 surrounding area of Chaohu Lake. The concentrations of organic material (OM), total nitrogen (TN) and total phosphorus (TP) were determined, and their spatial distribution characteristics were studied by geo-statistics software named GS 7.0+, Surfer 8.0 and Mapinfo 8.5. The correlations of these 3 kinds of nutrient were analyzed by SPSS 17.0 at the same time. Results showed that the average ω(OM), ω(TN) and ω(TP) in topsoil around Chaohu Lake were 19500 mg·kg-1, 1027 mg·kg-1 and 483 mg·kg-1. The ω(OM) and ω(TN) in topsoil in the east of Chaohu Lake were both higher than those in the west of the lake, while ω(TP) was reverse. The ω(TP) in topsoil around Hangbu-Fengle River and Baishitianhe River which located in the southwest of Chaohu Lake was higher than that in any other rivers and with the serious soil erosion. Hence, to control the TP released by nonpoint pollution, attention should be paid on these two rivers. Furthermore, the semivariogram models of ω(OM), ω(TN) and ω(TP) followed linear model and they all had a strong spatial autocorrelation, the ratios of nugget to sill were 0.015, 0.202 and 0.128, respectively. The characteristics of spatial distribution of ω(OM), ω(TN) and ω(TP) were similar. Moreover, the Pearson correlation analysis showed that ω(OM),ω(TN) and ω(TP) were significantly correlated. The ω(TN) and ω(TP) can be calculated by two recommended formulas, and the results were acceptable in daily non-pint pollution management.

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