Dynamic change and prediction method of urban ecological environment

Abstract

The invention discloses a dynamic change and prediction method of an urban ecological environment. The method comprises the steps of acquiring monitoring data in real time by setting a monitoring system, carrying out smoothness processing on the data, converting an unstable sequence into a stable sequence, and constructing an autoregressive integrated moving average (ARIMA) model and carrying outprediction on the dynamic changes of the environment; and by virtue of the mode, the dynamic changes of the urban ecological environment can be accurately detected and predicted, the precision and theservice life of the monitoring device are improved and prolonged, the prediction model is simple, the error of the prediction result is small, and the application range is wide.

Description

technical field [0001] The invention relates to the field of ecological environment forecasting, in particular to a dynamic change of urban ecological environment and a forecasting method. Background technique [0002] The urban ecological environment is a special artificial ecological environment established by humans on the basis of transforming and adapting to the natural environment. Its ability to automatically purify environmental pollution is far inferior to that of the natural ecological environment. While bringing about the unprecedented development of various industries, it has also brought about a huge impact on the urban ecological environment. Problems such as air pollution, water pollution, and garbage siege have become increasingly serious. Among them, water resources that are already in short supply have become more severe under water pollution The lack of water poses a great threat to human daily life and economic and social development. Therefore, in order ...

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Problems solved by technology

[0006] Based on the problems of low detection accuracy of the monitoring system and the lack of universality of the prediction method in the existing technology, the present invention provides a dynamic change and prediction method of the urban ecological environment, and improves the use of the monitoring system by preparing filter membranes and sensor electrode materials. Life expectancy and data detection accuracy; unsteady state data is transformed into steady state by means of difference, and integrated moving average autoregressive (ARIMA) model is used for prediction, which is applicable to both steady state and unsteady state environments, so as to realize the urban ecology Accurate detection and prediction of dynamic changes in the environment

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