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