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中文摘要：
伴随着工业经济的发展和人类活动范围的日益扩大,水污染对自然环境和人类健康带来巨大威胁,水质监测与评价越来越重要。该文针对水源地水质监测与评价工作中近年比较流行的人工神经网络、多元统计技术、地理信息系统（GIS）、模糊理论、云模型、灰色系统理论等不同方法,对其国内外应用情况进行了综述,阐述了各自的优缺点,对其适应性进行了一定的分析,为水源水质评价方法的选择提供了一定的理论依据。
英文摘要：
With the development of industrial economy and the growing of the scope of human activities, water pollution has been a threat to natural environment and human health, water quality monitoring and assessment are getting more and more significant. Focused on the advanced approach, including artificial neural network, multivariate statistics techniques, GIS, fuzzy theory and gray system theory, through synthesizing the domestic and overseas applications and analyzing the features of each approach, this paper conduces to provide theoretical evidence for the choice of a more scientific approach.
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