Urban tidal river reach ecological water demand prediction method based on neural network

Abstract

The invention puts forward an urban tidal river reach ecological water demand prediction method based on a neural network, and belongs to the field of ecological hydrology. The method comprises the following steps that: firstly, carrying out statistics on the monthly seawater salinity and sea-entering water quantity of the estuary of the urban tidal river reach in multiple years to obtain the monthly salt balance water demand of the river reach and establish the monthly salt balance water demand prediction network of the urban tidal river reach; then, independently obtaining the monthly average rain capacity, average sea surface temperature, total sewage discharge amount and ecological water demand of the river reach, and establishing the monthly ecological water demand prediction network of the urban tidal river reach; and independently obtaining the prediction value of the monthly total sewage discharge amount, the monthly sea-entering water quality prediction value and the monthly average rain capacity prediction value of the river reach in certain year in the future, inputting into the ecological water demand prediction network, and outputting the ecological water demand prediction result of the urban tidal river reach under different conditions. By use of the method, the special properties of the urban tidal river reach are comprehensively considered, a practical situation is conformed, the change situation of the river reach ecological water demand in the future is predicted, and a reference is provided for a decision department.

Description

technical field [0001] The invention belongs to the field of ecological hydrology, and in particular relates to a method for predicting ecological water demand of urban tidal river sections based on neural networks. Background technique [0002] With the rapid development of the economy, people's demand for water resources is increasing, which leads to the continuous reduction of water volume, deteriorating water quality, and destruction of ecosystems, which affects people's quality of life and hinders the sustainable development of the economy. Ecological security is threatened. The research on the water demand of the ecological environment is of great significance for improving the state of the regional ecological system and promoting the harmonious coexistence between human and nature in the region. [0003] However, the current research on water demand for the ecological environment is still in its infancy, and the method for determining the water demand for the ecologi...

AI Technical Summary

Problems solved by technology

However, there are not many applications of this network in the field of ecology at present, and there is no example of using BP neural network for the study of ecological water demand in a specific ecological environment area

Images