Institute of Nuclear Physics and Chemistry, China Academy of Engineering Physics

Sichuan Belam Technology Co., Ltd.

Benjiang Mao

Yixin Liu

Meng He

Yang Xu

Zancheng Jiang

Hailin Chu

Dezhi Wen

Dajie Ding

Yikun Qian

Jing Cheng

Renhong Zhuo

Hui Zheng

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.

Method for constructing water quality index prediction models and method for monitoring water quality indexes

An air kerma conventional true value determining method is provided, which addresses the problem of on-site and in-situ verification or calibration of radiation protection with existing standard reference radiation, which is large in spatial volume and unable or difficult to be moved. The method includes establishing a minitype reference radiation, selecting a proper radiation source and source intensity for providing incident rays for a shielding box, selecting a plurality of gamma ray dosimeters as samples for training a prediction model to obtain the prediction model of the air kerma conventional true value of a point of test, putting a probe of a dosimeter being verified at the point of test, recording scattering gamma spectrum measured by a gamma spectrometer, with the spectrum applied as input to the prediction model to obtain the air kerma conventional true value. The results are accurate and the reference radiation is small in size.

Air kerma conventional true value determining method

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Mianyang, China

Benjiang Mao