In order to study the spatial distribution of Nitrate concentration in drinking water sources of residents near an airport, the points of 24 residents were analyzed. The results showed that the correlation coefficient between magnesium and Nitrate was the highest, and the correlation coefficient was 0.726, but the significant P value could not be provided. The correlation between the two variables was tested by Partial process, and the correlation coefficient was 0.787, P = 0.001. The correlation between the two is very strong, and the concentration of magnesium ions can be used as a covariate for the interpolation of collaborative Kriging. When Kriging interpolation is used, the standard mean and standard root mean square prediction error of the cooperative Kriging model are both excellent. By kriging interpolation and then you can get the prediction of nitrate concentration in the study area Distribution, look forward to provide some guidance to the local water pollution control.
Key words
Distance model /
Partial model /
CoKriging /
Nitrate
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References
［1］ Galloway J N,Aber J D,Erisman J W,et al． The nitrogen cascade［J］． Bioscience,2003,53( 4) : 341－356．
［2］ Galloway J N,Townsend A Ｒ,Erisman J W,et al． Transformation of the nitrogen cycle: recent trends,questions and potential solutions［J］．Science,2008,320( 5878) : 889－892．
［3］ Vitousek P M,Naylor Ｒ,Grews T,et al． Nutrient imbalances in agricutural development ［J］． Science,2009,324( 5934) : 1 519－1 520．
［4］ Nie S,Gao Y． Ｒeview of current status and research approaches to nitrogen pollution in farmlands［J］． Agriculture Sciences in China,2009,8( 7) : 843－849．
［5］ 王仁铎,胡光道． 线性地质统计学［M］．北京: 地质出版社,1987．
［6］ 刘治政,吴晓东,林洪孝． Kriging 插值模型在地下水位监测网优化中的应用［J］． 人民长江,2010,41( 9) : 14－17．
［7］ 徐 驰,曾文治,黄介生,等． 基于高光谱与协同克里金的土壤耕作层含水率反演［J］． 农业工程学报,2014,30( 13) : 94－103．
［8］ 谢志英,刘 浩,唐新明． 北京市 MODIS 气溶胶光学厚度与 PM10质量浓度的相关性分析［J］． 环境科学学报,2015,35( 10) : 3 292－3 299．
［9］ 成玉婷,李 鹏,徐国策,等． 丹江流域氢氧同位素变化特征［J］．水土保持学报,2014,28( 5) : 129－133．
［10］ 李俊晓,李朝奎,殷智慧． 基于 ArcGIS 的克里金插值方法及其应用［J］． 测绘通报,2013,( 9) : 87－90,97．
［11］ Zhang Ｒenduo． Applied geostatistics in environmental science［M］．Beijing: Science Press,2005．
［12］ Liu X,Wu J,Xu J． Characterizing the risk assessment of heavy metals and sampling uncertainty analysis in paddy field by geostatisticsand GIS［J］． Environmental Pollution,2006,141( 2) : 257－264．
［13］ Calzolari C,Ungaro F． Predicting shallow water table depth at regional scale from rainfall and soil data［J］． Journal of Hydrology,2012,s414－415( 2) : 374－387．
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