Artificial Neural Networks for Water Quality Prediction in a Reservoir

Author

Chine, Wen-Huan ; Wang, Tai-Sheng ; Chen, Li ; Kou, Chang-Huan

Author_Institution

Dept. of Civil Eng. & Eng. Inf., Chung Hua Univ., Hsinchu, Taiwan

Volume

1

fYear

2009

fDate

28-30 Oct. 2009

Firstpage

516

Lastpage

519

Abstract

The main purpose of this paper is to establish a monthly water quality predicting model of Feitsui Reservoir in northern Taiwan. This model is based on data from nutrient loads to simulate the dynamic nutrient concentration in reservoir. The proposed model employed artificial neural networks (ANNs) with the back-propagation algorithm which can obtain a highly nonlinear relationship to predict the total phosphorous (TP) concentration in reservoir.

Keywords

backpropagation; environmental science computing; neural nets; reservoirs; water quality; Feitsui reservoir; artificial neural networks; back-propagation algorithm; northern Taiwan; reservoir; total phosphorous concentration; water quality prediction; Artificial neural networks; Biological system modeling; Brain modeling; Civil engineering; Informatics; Neurons; Predictive models; Reservoirs; Water pollution; Water resources; artificial neural networks (ANNs); back-propagation algorithm; total phosphorous (TP); water quality predicting model;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on

Conference_Location

Qingdao

Print_ISBN

978-0-7695-3881-5

Type

conf

DOI

10.1109/WCSE.2009.722

Filename

5403415