Journal Published Online: 05 April 2023
Volume 51, Issue 5

Analysis of Difenoconazole Content in Lake Water-Quality Testing

CODEN: JTEVAB

Abstract

This paper presents a method for detecting the concentration of difenoconazole in lake water-quality detection based on spectrophotometry. Prediction models were established by using various parameters to detect the concentration of difenoconazole. The results showed that the concentration of difenoconazole had a good linear correlation with total nitrogen and ammonia nitrogen. To verify the accuracy of the measurement method, the total nitrogen and ammonia nitrogen of different concentrations of liquids were tested, and the concentration of difenoconazole predicted by the model equation was obtained and compared with the actual value. The results show that the prediction correlation coefficient of the equation is close to 1, and the standard error of prediction is small, which meets the actual test requirements.

Author Information

Yu, Yinshan
Electronic Information Engineering, Huaiyin Institute of Technology, Huaian, China Jiangsu Laboratory of Lake Environment Remote Sensing Technologies, Huaiyin Institute of Technology, Huaian, China
Zhang, Hongyun
Jiangsu Laboratory of Lake Environment Remote Sensing Technologies, Huaiyin Institute of Technology, Huaian, China
Pages: 7
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Stock #: JTE20220491
ISSN: 0090-3973
DOI: 10.1520/JTE20220491