首页> 外文会议>Geospatial Information Technology: Geoinformatics 2006; Proceedings of SPIE-The International Society for Optical Engineering; vol.6421 >Spatial analysis and hazard assessment on soil total nitrogen in the middle subtropical zone of China
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Spatial analysis and hazard assessment on soil total nitrogen in the middle subtropical zone of China

机译:中亚热带地区土壤全氮的空间分析与危害评估

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Nitrogen (N) is one of the main factors affecting environmental pollution. In recent years, non-point source pollution and water body eutrophication have become increasing concerns for both scientists and the policy-makers. In order to assess the environmental hazard of soil total N pollution, a typical ecological unit was selected as the experimental site. This paper showed that Box-Cox transformation achieved normality in the data set, and dampened the effect of outliers. The best theoretical model of soil total N was a Gaussian model. Spatial variability of soil total N at NE60°and NE150° directions showed that it had a strip anisotropic structure. The ordinary kriging estimate of soil total N concentration was mapped. The spatial distribution pattern of soil total N in the direction of NE150° displayed a strip-shaped structure. Kriging standard deviations (KSD) provided valuable information that will increase the accuracy of total N mapping. The probability kriging method is useful to assess the hazard of N pollution by providing the conditional probability of N concentration exceeding the threshold value, where we found soil total N > 2.0g/kg. The probability distribution of soil total N will be helpful to conduct hazard assessment, optimal fertilization, and develop management practices to control the non-point sources of N pollution.
机译:氮是影响环境污染的主要因素之一。近年来,面源污染和水体富营养化已成为科学家和决策者日益关注的问题。为了评估土壤总氮污染的环境危害,选择了典型的生态单位作为实验点。本文表明Box-Cox变换在数据集中实现了正态性,并减弱了异常值的影响。土壤总氮的最佳理论模型是高斯模型。土壤总氮在NE60°和NE150°方向的空间变异性表明它具有条状各向异性结构。绘制了土壤总氮浓度的普通克里金法估计值。土壤总氮在NE150°方向上的空间分布格局呈条状结构。克里金标准差(KSD)提供了有价值的信息,这些信息将提高总N映射的准确性。概率克里金法通过提供氮浓度超过阈值的条件概率来评估氮污染的危害,我们发现土壤总氮> 2.0g / kg。土壤总氮的概率分布将有助于进行危害评估,优化施肥,制定管理措施以控制面源氮污染。

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