Hourly water temperature forecasting method for rivers

Abstract

The invention discloses a hourly water temperature forecasting method for rivers. The method includes that that compound sinusoidal function is used to fit the historical water temperature of river, and the temperature data; calculate the highest and lowest water temperature and the initial value of air temperature prediction on the day to be predicted; constructing the corresponding relationshipbetween water temperature change and air temperature change in rivers; calculating the confidence intervals of the highest and lowest temperature meteorological forecasts on the day to be forecasted;revising the initial values of the maximum and minimum water temperature forecasts for the day; the hourly probability forecast of river water temperature is carried out by using the composite cosinefunction. The invention realizes the hourly probability forecast of river water temperature, improves the precision of water temperature forecast, and fills the blank of hourly water temperature datademand in the area without data.

Description

technical field [0001] The invention relates to a water temperature prediction method, in particular to an hourly water temperature prediction method for rivers based on compound sine and cosine. Background technique [0002] Mastering the dynamic changes of water temperature in rivers and canals is of great significance in the fields of river ecological environment assessment and industrial intake and drainage scheme design. On the one hand, the water quality of rivers is extremely vulnerable to the impact of human activities such as pollution or water conservancy projects. Once the natural state of river water quality is damaged, there will be many changes such as the decline of water environment quality and the loss of biodiversity. The change of water temperature is one of them. one. Water temperature is one of the important indicators of water environment factors. Changes in water temperature directly affect changes in water environment quality and are closely related ...

AI Technical Summary

Problems solved by technology

Empirical formulas are relatively simple to use, but are not universally applicable, are severely restricted by regions, and are limited to the prediction of daily-scale water temperature (maximum, minimum or average); the mathematical model starts from the physical process of heat exchange in water bodies to establish hydrodynamic values model, but requires a large amount of measured data, and it is difficult to obtain data

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