| Eutrophication of lakes has been becoming one of the global water environmental problems. It has been reported that the enrichment of nitrogen and phosphorus in the water bodies is the major reason to accelerate eutrophication of lakes. As a result of this, estimation of nutrient criteria could be of helpful in forecasting and controlling eutrophication of lakes.Geostatistics was used to analyze the TP, TN, WD, and turbidity data sampled in Lake Hulunhu in September 2008, August 2009 and July 2010. The results showed that turbidity at C8, D9 sampling sites in September 2008 was detected as outlying observation and was replaced by 125 NTU, and concentration of TP at D9 sampling site in July 2010 was replaced by 0.307 mg·L-1 as well. Based on the detection and handling of the outlying observations, a multivariate regression model was structured according to the optimal match between TP, TN and the best corresponding inversion band or the band groups. The historical TP and TN concentrations were modeled by substituting the parameter of reflectivity into the model, which was selected based on the remote sensing data at 47 nodes in Lake Hulunhu. The reference conditions of nutrient criteria were estimated using the extended TP and TN data series. The statistics results showed that the TP and TN reference conditions was 0.080.098 mg·L-1 and 0.13 mg·L-1 respectively.In conclusion, the application of remote sensing data and the use of the multivariate regression model could extend the TP and TN data series. As a result of this, the reference conditions of nutrient criteria would be estimate more precisely. |
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