Title :
Surface water quality forecasting based on ANN and GIS for the Chanzhi Reservoir, China
Author :
Song, Shuai ; Zheng, Xilai ; Li, Fadong
Abstract :
Artificial neural network (ANN) based on Arc Engine (AE) of GIS is used to predict surface water quality in the Chanzhi Reservoir, Qingdao, China. The results can reflect the water quality change trends with less than 10% average relative error. Using MS SQL Server database technology combined with Geodatabase, the system achieves the fundamental geographic information and hydrological data management, and water quality prediction. It uses GIS component technology to build an efficient and stable platform which can apply to general surface water quality prediction. This software has good information extraction and query functions to help decision-makers to manage water resource better.
Keywords :
Artificial neural networks; Data models; Forecasting; Monitoring; Predictive models; Reservoirs; ANN; GIS; reservoir; water quality prediction;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5689328