摘要： 针对当前湖库水质监测及水华预测预警信息化发展相对落后的现状，开发一套集水质监测、水华预测预警功能于一体的智能化信息系统。采用Visual Studio 2010中的C++语言进行系统平台搭建，将网络通信、地理信息系统、SQL2005数据库等技术相结合，对湖库水质信息进行实时监测，并通过灰色-BP神经网络模型实现对湖库藻类水华较高精度的中长期预测预警的功能，为环保部门进行湖库水华防治提供有效的信息化决策平台。

关键词: 实时监测, 地理信息系统, 结构化查询语言, BP神经网络, 水华预测预警, 通用分组无线服务

Abstract: Aiming at the relatively backward-status of water-quality monitoring for lake and reservoir and the information technology development of water-boom forecasting warning, an intelligent information system including water-quality monitoring, water-boom forecasting and warning is developed. The system is built by the language of C++ of Visual Studio 2010, integrating network communication, Geographic Information System(GIS) and database(SQL2005) key technology. The function of real-time monitor and higher accuracy of long-term prediction for lake water-blooms is achieved through the gray-Back Propagation(BP) neural network model, which provides an effective decision-making platform for environmental protection departments to prevent and control lake water-bloom.

Key words: real-time monitoring, Geographic Information System(GIS), Structured Query Language(SQL), Back Propagation(BP) neural network, water-bloom prediction and early-warning, General Packet Radio Service(GPRS)

中图分类号: 

• TP391