Data-free small reservoir parameter identification method combining hydrological simulation and continuous remote sensing images

Abstract

The invention relates to a data-free small reservoir parameter identification method combining hydrological simulation and continuous remote sensing images. The method comprises the following steps: step 1, determining a data-free small reservoir area and an upstream basin range; step 2, reservoir discharge parameters and a discharge curve are determined; step 3, verifying the reservoir dischargeparameters and the discharge curve; and step 4, identifying the reservoir operation mode. The data-free small reservoir parameter identification method provided by the invention not only identifies the reservoir area range and the weir crest elevation, but also provides a reservoir discharge parameter and discharge curve determination and verification method, thereby identifying the reservoir operation mode, and providing technical support for small reservoir flood discharge and small basin flood control in a data-free area.

Description

technical field [0001] The invention relates to the technical field of water conservancy engineering, specifically a method for identifying parameters of small reservoirs without data combined with hydrological simulation and continuous remote sensing images, which is mainly used for flood forecasting of small reservoirs in areas without data, flood forecasting of small watersheds under the influence of water conservancy projects, and small reservoirs. Flood risk assessment and early warning work. Background technique [0002] Since the founding of New China, my country's water conservancy projects have developed rapidly, providing guarantees for flood control, water supply, irrigation, power generation, and shipping. At present, my country has built 9,685 small and medium-sized sluices, 93,850 small reservoirs, and 39,685 ponds and dams that threaten the flood control safety of villages in mountain torrent disaster prevention and control areas. The distribution of small wa...

AI Technical Summary

Problems solved by technology

This method is not only time-consuming and labor-intensive, but also requires at least 5 years (including wet, flat, and dry years) to accumulate sufficient monitoring data to ensure the accuracy of reservoir flood forecasting

Therefore, there is currently no simple and feasible method that can be used to identify the parameters of small reservoirs without data, and then to forecast the flood discharge of small reservoirs without data and the flood forecast of river basins without data.

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