The application relates to the technical field of
water environment monitoring, and discloses a method for estimating the
nucleotide metabolism function intensity of water bodies based on the optical characteristics of DOM (dissolved
organic matter), which is specifically as follows: based on the optical characteristics of the dissolved
organic matter (DOM), the optical parameters and the functional
gene relative abundance data of the modeling samples are acquired, the
gene abundance data is subjected to central logarithmic ratio transformation, a
multiple linear regression model is constructed, and model
verification and evaluation are completed, and finally, the optimal prediction model for rapidly estimating the relative abundance of the key
functional genes of the water bodies is obtained. The application solves the defects of the traditional detection methods, such as complicated operation, high cost, low space-
time resolution and the like, realizes rapid, non-invasive and in-situ
estimation of the
nucleotide metabolism and
genetic molecular information
functional genes of the water bodies, greatly shortens the detection period, and is suitable for large-scale
water environment monitoring,
water body ecological health evaluation,
pollution early warning and
carbon cycle process research.