Analysis Based on RBF Neural Network for Effect of Artificial Flow Field on Dissolved Oxygen Uniform Distribution

DOI

10.2991/eia-17.2017.3How to use a DOI?

Keywords

artificial flow field; dissolved oxygen; uniform distribution; RBF neural network

Abstract

To verify the effect of artificial flow on the improvement of local DO(dissolved oxygen) imbalance distribution, Lake Jing in Guangxi University was taken as the experimental area, five groups of experiments were designed, pump with different flow rate and different nozzle were used to push flow in experimental area, RBF Neural Network which is widely used in geographic information prediction was used to fitting the spatial distribution of dissolved oxygen and the dispersion coefficient was taken as the equilibrium index of DO horizontal distribution to analysis the effect of flow. The result shows that100 m3/min, 130 m3/min, 180 m3/min pump with circular nozzle and 130L/min pump with duckbill nozzle respectively need 1.5 hour, 1.0 hour, 0.5 hour, 1.5 hour to decrease the DO dispersion coefficient from 0.3 to 0.05, witch prove push flow has obvious effect on improving the DO balance and the effect is related with flow rate and nozzle, a larger flow pump and circular nozzle is preferred.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Gang LIU
AU  - Jiaoyan AI
AU  - Zengqiang LEI
AU  - Kui LIANG
PY  - 2017/07
DA  - 2017/07
TI  - Analysis Based on RBF Neural Network for Effect of Artificial Flow Field on Dissolved Oxygen Uniform Distribution
BT  - Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)
PB  - Atlantis Press
SP  - 9
EP  - 12
SN  - 1951-6851
UR  - https://doi.org/10.2991/eia-17.2017.3
DO  - 10.2991/eia-17.2017.3
ID  - LIU2017/07
ER  -