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, and belongs to the technical field of intelligent water quality prediction data application. The method comprises the following steps: 1, ; data standardization, 2, creating a sample matrix, 3, determining an initial clustering center according to the quantile; (4) initial clustering is carried out according to the Euclidean distance; (5) the mean value of each class is used as a new clustering center; (6) clustering is carried out in batches according to the Mahalanobis distance between each sample and the clustering center; (7) clustering number screening is carried out; (8) the best clustering number is selected; according to the method, the problems of high cost and low prediction accuracy of water quality prediction of small and medium-sized reservoirs are mainly solved. Meanwhile, the problem that a traditional clustering algorithm is inapplicable to data heterogeneity and differentvariances is solved, and the training accuracy of the NARX neural network is improved to a certain extent.

Description

technical field [0001] The invention relates to the technical field of application of intelligent water quality prediction data, 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 sources is closely related to people's lives, and using scientific methods to predict water quality indicators is an effective method for water resource management and protection. The content of total phosphorus and total nitrogen is an important evaluation index of the eutrophication state of the 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 helpf...

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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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