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Geospatial Based Assessment of Spatial Variation of Groundwater Nitrate Nitrogen in Shandong Intensive Farming Regions of China

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The objective of this preliminary research is to investigate the potential of geostatistical methods to explore the spatial variability of groundwater nitrate nitrogen (NO3 -N) pollution in Shandong intensive farming regions in China. For this purpose detailed field data on groundwater NO3 -N collected at 216 farming sites have been utilized. In this study Co-Kriging method has been utilized to interpolate the groundwater NO3 -N pollution by taking into effect of the two influencing factors (e.g., soil organic matter content and total nitrogen content) relevant to groundwater NO3 -N. For geostatistical interpolation, spherical semi-variogram model has been used to analyze the groundwater NO3 -N spatial variability. Results of the sample data analysis indicate that there is an apparent spatial variation and trend effect. Compared with the Ordinary Kriging method, Co-Kriging has achieved higher precision with a decrease of 71% of the average error. Co-Kriging results shows that areas with higher NO3 -N concentration in groundwater are mainly distributed in Weifang, Qingdao, and Yantai intensive farming regions, which are exposed to excessive use of nitrogen fertilizer. The results suggested that the Co-Kriging spatial interpolation is an effective approach to obtain the groundwater NO3 -N spatial variability in intensive farming regions. The possible reasons for the spatial variation and distribution characteristics of groundwater NO3 -N are also discussed in this article.
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Document Type: Research Article

Publication date: 2012-01-01

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