基于BP神经网络的腾格里湖水环境承载力研究  

Research on Water Environmental Carrying Capacity of Tenggeli Lake Based on BP Neural Networks

作　　者：余金龙 尹亮[1] 鲍广强 李斌 白维东 邱小琮[3] 

机构地区：[1]宁夏大学土木与水利工程学院,银川750021 [2]宁夏水产技术推广站,银川750021 [3]宁夏大学生命科学学院,银川750021

出　　处：《中国农村水利水电》2017年第11期83-86,93,共5页China Rural Water and Hydropower

基　　金：宁夏回族自治区科技攻关项目

摘　　要：为探明宁夏中卫市腾格里湖水环境承载力状况,分别于2013年至2015年春(4月)、夏(7月)、秋(10月)、冬(1月)对腾格里湖的水环境和水生态因子进行采样分析,选取氨氮(NH_3-N)、总氮(TN)、总磷(TP)、高锰酸盐指数(COD_(Mn))、化学需氧量(COD_(Cr))、浮游植物Shannon-Wiener指数、浮游动物Shannon-Wiener指数、底栖动物ShannonWiener指数与综合营养状态指数作为评价指标,采用人工神经网络模型,分析研究腾格里湖的水环境承载力。结果表明,腾格里湖2013-2015年水环境承载力指数分别为:0.69、0.63、0.46,呈逐年下降趋势,处于基本可承载力状态,需及时采取措施进行水环境治理。Water samples of water environment and hydroecology factorS were collected in April, July, October, January from 2013 to 2015 to explore water environmental carrying capacity condition of Tenggeli Lake in Zhongwei. The factors of ammonia nitrogen （NH3 -N）, total nitrogen（ TN）, total phosphorus （ TP ）, permanganate index （ CODMn）, chemical oxygen demand （CODcr ）, phytoplankton Shannon - Wiener index, zooplankton Shannon-Wiener index, zoobenthos Shannon-Wiener index and comprehensive nutrition status index were selected as evaluating indicators, and the method of Artificial Neural Network Model was used to analyze WECC in Tenggeli Lake. The results show that water environmental carrying capacity of Tenggeli Lake were 0.69, 0.63 and 0.46 from 2013 to 2015, and the water environmental carrying capacity of Tenggeli Lake was in a state of basic bearing capacity.

关 键 词：水环境承载力 人工神经网络 腾格里湖 

分 类 号：TV93[水利工程—水利水电工程]