Initial application of nonlinear regression models to assess biological self-purification capacity in Vung Ro Bay (Phu Yen)
Average rating
Cast your vote
You can rate an item by clicking the amount of stars they wish to award to this item.
When enough users have cast their vote on this item, the average rating will also be shown.
Star rating
Your vote was cast
Thank you for your feedback
Thank you for your feedback
Date
2018
Metadata
Show full item recordAlternative Title
Bước đầu ứng dụng mô hình hồi quy phi tuyến đánh giá khả năng tự làm sạch sinh học vực nước Vũng Rô (Phú Yên)Abstract
The self-purification of waters is a complex process, including physical, biological and chemical processes. Based on experimental data in May 2014 and December 2014 in Vung Ro bay (Phu Yen), this paper assesses biological self-purification capicity through the biodegradation of organic matter and nutrient assimilation. The capacity of biodegradation of organic matter is represented by nonlinear regression models of the relationship between BOD and decay time: model of Streeter - Phelps, Young and Clark (1965); Mason et al., (2006). The capacity of nutrient assimilation is represented by the nonlinear regression models of the relationship between photosynthesis and irradiance: Model of Webb et al., (1974); Platt et al., (1980); Eilers and Peeters (1988). Using the least squares method on the nonlinear regression model, the parameters characterizing the self purification process in Vung Ro waters were identified. The study results indicated that the rate of organic biodegradation in Vung Ro waters was 0.1073 ± 0.0781 days-1 (with RMSE = 0.0663 ± 0.0386); the half-time of decay was about 6 days. The maximum intensity of photosynthesis in Vung Ro waters was 57.6881 ± 25.2211 mgC (mgChal)-1h-1 (with RMSE = 3.5900 ± 2.2170); maximum nutrient assimilation of phytoplankton was 9.1719 ± 3.5962 mgN/m3/h and 1.2693 ± 0.4977 mgP/m3/h.Journal
Collection of Marine Research WorksVolume
23Issue/Article Nr
Special issue on the topic "Marine research for sustainable development" published in the Journal of Marine Science and Technology, Tome 18 (Vol. 4A), 2018Page Range
pp. 129-140Resource/Dataset Location
http://vjs.ac.vn/index.php/jmst/article/view/13641ae974a485f413a2113503eed53cd6c53
https://doi.org/10.15625/1859-3097/18/4A/13641
Scopus Count