节点文献
GIS与人工神经网络在水质评价中的应用
Application of artificial neural network and GIS to water quality eva luation
【摘要】 水环境质量评价是水环境管理保护和治理的一项重要基础性工作 .在分析目前用于水质评价主要模型及其存在主要问题的基础上 ,引入了人工神经网络理论来解决自动定权问题 ,应用BP改进模型及GIS开展了东湖水质、富营养化综合评价 ,结果表明该方法在客观性、实用性及适应性等方面具有明显的优点 .
【Abstract】 The water environment quality appraisal is an importa nt groundwork for the water environment management and protection. Based on anal yzing key problems for water quality evaluation, the artificial neural network t heory is introduced to solve automatically the determination of weight; and the comprehensive evaluation of water quality and trophic development of East Lake is carried out by using the BP improved model and GIS. The results show that thi s method has obvious merits in objectivity, practicability and adaptability.
【关键词】 神经网络;
水质;
评价;
GIS;
【Key words】 neural network; water quality; evaluation; geographic information system (GIS);
【Key words】 neural network; water quality; evaluation; geographic information system (GIS);
【基金】 中国科学院水生生物研究所淡水生态与生物技术;测绘遥感信息工程国家重点实验室开放基金资助
- 【文献出处】 武汉大学学报(工学版) ,Journal of Wuhan University of Hydraulic and Electric Engineering , 编辑部邮箱 ,2003年03期
- 【分类号】TP18;X824
- 【被引频次】53
- 【下载频次】736