A ca-narx water quality prediction method based on meteorological factors

Abstract

The invention discloses a CA-NARX water quality prediction method based on meteorological factors, which belongs to the technical field of intelligent water quality prediction data application and includes the following steps: ① standardize data, ② create a sample matrix, ③ determine the initial cluster center according to the quantile , ④ perform initial clustering according to the Euclidean distance, ⑤ use the mean value of each class as the new cluster center, ⑥ cluster according to the Mahalanobis distance between each sample and the cluster center, ⑦ screen the number of clusters, ⑧ select the most Good number of clusters, ⑨m-fold cross-validation to select training samples, ⑩forward NARX neural network classification prediction. The invention mainly solves the problems of high water quality prediction cost and low prediction accuracy of small and medium-sized reservoirs, and at the same time solves the problem of inapplicability of traditional clustering algorithms to data heterogeneity and different variances, and improves the accuracy of NARX neural network training. Improve to a certain extent.

Description

technical field [0001] The invention relates to the technical field of intelligent water quality prediction data application, in particular to a CA-NARX water quality prediction method based on meteorological factors, which is applied to water quality prediction and management of water sources. Background technique [0002] The water quality of water source areas is closely related to people's lives. Using scientific methods to predict water quality indicators is an effective method for water resources management and protection. The content of total phosphorus and total nitrogen is an important evaluation index for the eutrophication state of water body, and it is also an important factor affecting the water body environment. Accurate and rapid prediction of total phosphorus and total nitrogen content in water can provide theoretical support for water environment assessment and early warning, and also provide decision-making basis for relevant departments, which is helpful f...

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Problems solved by technology

Non-point source pollution mainly enters water bodies through agricultural application of chemical fertilizers, soil erosion, surface runoff, and atmospheric dry and wet deposition. The discharge methods are diverse and difficult to monitor and control. There are few researches at home and abroad.

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