Prediction of River Water Quality Based on Gray Dynamic Model Group
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    Abstract:

    Water quality prediction is the basis of water environmental planning, evaluation and management. A gray dynamic model group is put forward made up of six simple gray models. Then the model group is used to predict the trend of concentration of NH3-N in the Huaihe river during dry season. The result shows that the gray dynamic model group can make full use of the recent information about water quality to predict the future trend of water quality, and that prediction result stemming from gray dynamic model group is more accurate and reliable than that of a simple gray model

    Reference
    [1] 夏军.区域水环境及生态环境质量评价--多级灰关联评估理论与应用[M].武汉:武汉水利电力大学出版社,1999.
    [2] 胥冰,韩小勇.淮河干流水环境评价及其趋势分析[J].水资源保护,1998(2):10-17.
    [3] 刘兰芬,张祥伟,夏军.河流水环境容量预测方法研究[J].水利学报,1998(7),16-20.
    [4] 邓聚龙.灰色系统预测与决策[M].武汉:华中理工大学出版社,1985.
    [5] 傅立.灰色系统理论及其运用[M].北京:科学技术文献出版社,1992
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李如忠,汪家权,钱家忠.基于灰色动态模型群法的河流水质预测研究[J].水土保持通报英文版,2002,(4):10-12

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History
  • Received:May 07,2002
  • Online: November 28,2014