Title :
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
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;
Conference_Titel :
Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-3881-5
DOI :
10.1109/WCSE.2009.722
