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METHOD FOR CONSTRUCTING WATER QUALITY INDEX PREDICTION MODELS AND METHOD FOR MONITORING WATER QUALITY INDEXES

机译:水质指数预测模型的构建方法和水质指数监测方法

摘要

The present invention relates to the field of environment monitoring. The present invention solves the problem in the prior art of large errors arising when using spectrophotometry to monitor a water quality COD index, and provides a method for constructing a water quality index prediction model and a method for monitoring a water quality index. The technical solution thereof can be summarized as follows: a method for constructing a water quality index prediction model, comprising: acquiring multiple water samples as water inspection samples, and acquiring respective required water quality indexes for the water inspection samples; measuring, for each of the water inspection samples, a spectrum corresponding thereto, obtaining an original spectrum, and acquiring a physical parameter thereof; conducting at least two digestions on the water inspection samples, measuring a spectrum corresponding thereto after each of the digestions to obtain a digestion spectrum, and acquiring a digestion parameter of the digestion and a physical parameter of the water inspection samples after the digestion; and independently constructing, according to data collected from each of the water inspection samples, an individual water quality index prediction model for each of the required water quality indexes. The present invention has an advantageous effect of fundamentally reducing measurement errors, and is applicable to water quality index monitoring.
机译:本发明涉及环境监测领域。本发明解决了现有技术中使用分光光度法监测水质COD指数时产生较大误差的问题,并提供了一种构建水质指数预测模型的方法和监测水质指数的方法。其技术方案可以概括为:一种构建水质指数预测模型的方法,包括:获取多个水样作为水样检测样本,获取水样检测样本各自所需的水质指标;对于每个水检查样品,测量其对应的光谱,获得原始光谱,并获取其物理参数;对水检查样品进行至少两次消解,在每次消解后测量与其对应的光谱以获得消解光谱,并在消解后获得消解的消解参数和水检查样品的物理参数;并根据从每个水质检查样本收集的数据,独立构建每个所需水质指标的单独水质指标预测模型。本发明具有从根本上减少测量误差的有利效果,适用于水质指标监测。

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