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机构地区:[1]国家海洋技术中心,天津300112
出 处:《海洋环境科学》2016年第6期943-947,共5页Marine Environmental Science
基 金:国家海洋技术中心创新基金"基于紫外吸收光谱法海水硝酸盐测量方法研究";海洋公益性行业科研专项(201505015);海洋经济创新发展区域示范项目(CXSF2014-37)
摘 要:利用紫外光谱结合偏最小二乘法(PLS)建立了海水硝酸盐浓度计算模型,并利用间隔偏最小二乘法(interval PLS,i PLS)对建模区间进行了优化。相比全波段建模,优化后模型校正集均方根误差(RMSECV)从39.1降低到9.83。同时利用35个预测集样本对i PLS优化模型进行验证,i PLS优化模型将预测样本平均相对偏差从3.23%降低到1.81%。研究结果表明,相比全波段建模,利用i PLS进行建模波长区间优化,不仅减少了自变量个数,简化了运算,同时提高了模型预测准确度。A quantitative model for detecting the concentration of dissolved nitrate in seawater was established based on Ultraviolet spectrophotometry combined with partial least squares( PLS) method.The optimal wavelength range was determined using interval PLS( i PLS) method.Compared with the model used full spectrum,the model used the optimal wavelength range determined by i PLS method lowered the RMSECV of the training set from 39.1 to 9.83.The test set including 35 samples were used to verify the effect of i PLS method,the results showed that the i PLS method lowered the average relative deviation of the test set from 3.23% to 1.81%.The study showed that the optimal wavelength range determined by i PLS not only reduced the number of independent variables,simplified computing,but also improved the prediction accuracy.
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