【摘要】 为实现污水处理设施的优化设计,科学的预测污水量至关重要,根据现有情况给出一种基于历史数据及随机影响因素依赖较小的GM模型,通过对灰色机理的探讨,利用已知固化数据建立灰色污水量预测模型,以D高校历史污水量数据为基础对未来污水量进行预测,经检验该模型为高精度模型,该预测方法适用于D高校污水量预测,能够为该高校中水回用工程提供污水量有效数据支持。更多还原

【Abstract】 The scientific prediction of sewage quantity is quite important for achieving the design optimization of sewerage.A grey model(GM) can be achieved based on the historical data,which is less dependent on the random influence factors.According to the well-known data as well as the exploration of grey rationale,the grey prediction model of sewage quantity can be developed and subsequently used for sewage quantity prediction after calibration using the historical data of sewage quantity in D University.It has been verified that this GM is a high-precision model and applicable for the sewage quantity prediction of D University,which can provide solid data supporting for the project of wastewater reclamation in D University.更多还原