摘要
为探讨水质综合评价的客观方法,选取总硬度、铁、硫酸盐、溶解性总固体、硝酸盐作为评价指标,参照《地下水质量标准》,以四川省雅安市雨城区为例,采用BP神经网络模型与GIS相耦合的评价方法,分析评价了地下水水质分布状况。结果表明,该区北部、中部和东部地下水的硫酸盐和溶解性总固体偏高,西部和南部地下水水质情况较好,该方法较为直观、合理。
In order to discuss the methods for comprehensive assessment of water quality,total hardness,Fe,sulfate,TDS and nitrate are chosen as evaluation indexes.According to the environmental quality standards for ground water,the coupling of BP neural network model and GIS spatial information analysis is adopted to analyze and assess ground water distribution of Ya＇an City in Sichuan Province.The results show that the sulfate and TDS of ground water in north,middle and east regions are higher than other regions;the ground water quality of west and south regions are very well.Therefore,the combination of BP and GIS is more objective and reasonable.
出处
《水电能源科学》
北大核心
2012年第2期38-40,119,共4页
Water Resources and Power
关键词
BP神经网络
GIS
地下水
水质综合评价
雅安市
BP neural network
GIS
ground water
comprehensive assessment of water quality
Ya＇an City
