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28 October 2006 Spatial analysis and hazard assessment on soil total nitrogen in the middle subtropical zone of China
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Proceedings Volume 6421, Geoinformatics 2006: Geospatial Information Technology; 64211O (2006) https://doi.org/10.1117/12.713114
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China
Abstract
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peng Lu, Wenpeng Lin, Zheng Niu, Yirong Su, and Jinshui Wu "Spatial analysis and hazard assessment on soil total nitrogen in the middle subtropical zone of China", Proc. SPIE 6421, Geoinformatics 2006: Geospatial Information Technology, 64211O (28 October 2006); https://doi.org/10.1117/12.713114
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