基于极限学习机的晋阳湖区域水环境安全综合评价

Comprehensive Evaluation of Water Environment Security in Jinyang Lake Based on Extreme Learning Machine

针对晋阳湖区域水环境安全现状及存在的问题,构建了晋阳湖水环境安全综合评价指标体系,利用极限学习机(ELM)算法建立了ELM综合评价模型,确定了晋阳湖现阶段(2010年)的安全评价等级,并预测了2015、2020年水环境安全水平。结果表明,晋阳湖区域现状水平年(2010年)的水环境安全等级为Ⅲ级,处于基本安全状态,且随着时间的推移水环境安全状态呈逐年改善趋势,到2015年达到安全状态。可见本文方法具有合理性和有效性,可用于其他区域的水环境安全综合评价中。

In view of the existing water environment security issues in Jinyang Lake,a comprehensive evaluation index system of water environment was established.Based on the extreme learning machine algorithm,water environment security evaluation rating of 2010 was confirmed and the level of 2015 and 2020was predicted in Jinyang Lake by using ELM comprehensive evaluation model.The results show that water environment security evaluation rating of 2010 in Jinyang Lake belongs level 3,which means relatively safe,and presents an improving trend over time;moreover,water environment security attains the safe state up to 2015.Therefore,this method is reasonable and effective and it can be applied to comprehensive evaluation of water environment security in other areas.