摘要
南四湖近些年来出现的湖泊水情要素较多灾变、水质污染、泥沙淤积以及人为围湖造田和水资源纠纷等一系列问题,已成为湖泊水安全的重大威胁因素。研究将南四湖水安全评价指标定为水质、沙容比、水域面积、年降水量、水位和水因患病率等6大指标,并将6种指标依据各自实际影响程度分为5个数量级段,相应地将湖泊水安全标准定为5级,利用人工神经网络中的BP神经网络模型对南四湖水安全进行了定量评价。研究表明,南四湖水安全现状处于4级,即差的状况。
A series of water security problems of Nansi Lake which appear in recent years,such as lake pollution,sediment,man-made change from lake to cropland and water resources disputes, have been great threat factors for the water security of lake. Six indices of water quality, the proportion of silt to the lake volume, water area,annual rainfall, water level and water-caused incidence were continued as the water security evaluation indices of Nansi Lake. According to the actual impact degree, six indices were divided into five magnitude levels, So the water security standards of lake were confirmed as five levels. BP neural network model in the artificial neural network was used to evaluate quantitatively the water security of Nansi Lake. The research results showed that the water security status of Nansi Lake was the fourth level, being bad.
出处
《安徽农业科学》
CAS
北大核心
2009年第7期3178-3181,3307,共5页
Journal of Anhui Agricultural Sciences
基金
山东省自然科学基金资助项目(Y2008E13)
关键词
南四湖
水安全
人工神经网络
Nansi Lake
Water security
Artificial neural network