Runoff prediction system and method based on satellite microwave observation data

Abstract

The invention relates to the technical field of runoff forecasting, in particular to a runoff forecasting system based on satellite microwave observation data, which comprises a satellite data collection module used for collecting satellite data in real time; an artificial intelligence module is used for establishing a database and obtaining a rainfall analysis model; a rainfall forecast analysis module is used for obtaining rainfall amount and rainfall path forecast; a correction module is used for obtaining the corrected precipitation amount and precipitation path forecast and storing the corrected precipitation amount and precipitation path forecast in a database; a hydrological data collection module is used for collecting surface runoff data; a hydrological forecasting module is used for simulating a hydrological process under a complex terrain condition based on an atmospheric hydrological coupling mode and providing water level forecasting, early warning and pre-discharging decisions in the region; a response demonstration module is used for simulating a rainfall runoff trend in a few hours in the future and convergence of rainfall to a low position on the ground according to the obtained corrected rainfall amount and rainfall path forecast in combination with surface runoff data so as to realize runoff prediction.

Description

technical field [0001] The invention belongs to the technical field of runoff forecasting and runoff forecast analysis, and in particular relates to a runoff forecasting system and method based on satellite microwave observation data. Background technique [0002] At present, the technical means used to detect atmospheric parameters at home and abroad mainly include: direct detection by aircraft airborne instruments, ground-based microwave radiometer or radar remote sensing detection, and satellite remote sensing detection. Due to the complexity and variability of the atmospheric structure in a certain area in time and space, coupled with the difficulty of actual detection, how to determine the path of heavy precipitation more accurately and timely under the existing technical conditions is a challenge faced by atmospheric science today. an important task. [0003] Through the analysis of the scale characteristics of the existing weather system and the overview analysis of ...

AI Technical Summary

Problems solved by technology

The precipitation runoff forecasting system based on the above methods has shortcomings. Many mathematical models are based on certain assumptions and established in an ideal state. There is a certain gap with the actual situation, and there is a lack of more accurate high Meteorological data with spatial and temporal resolution to establish a hydrological mathematical model that is more in line with the actual situation. This application has improved in this regard

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