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BP与GIS耦合的地下水水质综合分析评价
引用本文:田〓帅,刘国东,倪福全. BP与GIS耦合的地下水水质综合分析评价[J]. 水电能源科学, 2012, 30(2): 38-40,119
作者姓名:田〓帅  刘国东  倪福全
作者单位:1. 四川大学水力学与山区河流开发保护国家重点实验室,四川成都,610065
2. 四川农业大学信息与工程技术学院,四川雅安,625014
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。

关 键 词:BP神经网络; GIS; 地下水; 水质综合评价; 雅安市

Comprehensive Assessment of Ground Water Quality Based on Coupling of BP and GIS
TIAN Shuai,LIU Guodong and NI Fuquan. Comprehensive Assessment of Ground Water Quality Based on Coupling of BP and GIS[J]. International Journal Hydroelectric Energy, 2012, 30(2): 38-40,119
Authors:TIAN Shuai  LIU Guodong  NI Fuquan
Affiliation:State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China
Abstract: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.
Keywords:BP neural network  GIS  ground water  comprehensive assessment of water quality  Ya’an City
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