Research on the Concentration Prediction of Nitrogen in Red Tide Based on an Optimal Grey Verhulst Model
Joint Authors
Xiaomei, Hu
Wang, Yubin
Yu, Yue
Tian, Yuan
Wang, Dong
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-06
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
In order to reduce the harm of red tide to marine ecological balance, marine fisheries, aquatic resources, and human health, an optimal Grey Verhulst model is proposed to predict the concentration of nitrogen in seawater, which is the key factor in red tide.
The Grey Verhulst model is established according to the existing concentration data series of nitrogen in seawater, which is then optimized based on background value and time response formula to predict the future changes in the nitrogen concentration in seawater.
Finally, the accuracy of the model is tested by the posterior test.
The results show that the prediction value based on the optimal Grey Verhulst model is in good agreement with the measured nitrogen concentration in seawater, which proves the effectiveness of the optimal Grey Verhulst model in the forecast of red tide.
American Psychological Association (APA)
Xiaomei, Hu& Wang, Yubin& Yu, Yue& Wang, Dong& Tian, Yuan. 2016. Research on the Concentration Prediction of Nitrogen in Red Tide Based on an Optimal Grey Verhulst Model. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1112926
Modern Language Association (MLA)
Xiaomei, Hu…[et al.]. Research on the Concentration Prediction of Nitrogen in Red Tide Based on an Optimal Grey Verhulst Model. Mathematical Problems in Engineering No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1112926
American Medical Association (AMA)
Xiaomei, Hu& Wang, Yubin& Yu, Yue& Wang, Dong& Tian, Yuan. Research on the Concentration Prediction of Nitrogen in Red Tide Based on an Optimal Grey Verhulst Model. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1112926
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112926