Full-distributed confluence simulation method considering influence of reservoirs in drainage basin

Abstract

The invention discloses a full-distributed confluence simulation method considering the influence of a reservoir in a drainage basin, and the method comprises the steps of obtaining the gradient, the flow direction and the confluence accumulated value of each grid unit in a target drainage basin; dividing the grid units in the target drainage basin into reservoir grids and non-reservoir grids based on the position of the reservoir; constructing a storage and discharge model of the reservoir grids, and obtaining the discharge quantity of each reservoir grid based on the model; constructing a confluence model of non-reservoir grid units based on an MCT method, and obtaining the discharge quantity of each non-reservoir grid based on the model. According to the method provided by the invention, the digital elevation data of the target drainage basin is applied, the data source is stable and reliable, the influence of the reservoir in the drainage basin on confluence calculation is considered, the calculation result is accurate and reasonable, meanwhile, the problem of confluence calculation of the drainage basin with the reservoir is solved, and deep development of digital hydrology and hydrological model research is facilitated.

Description

technical field [0001] The invention relates to the technical field of hydrology, in particular to a fully distributed confluence simulation method considering the influence of reservoirs in a watershed. Background technique [0002] Flood disaster is the most common natural disaster, which brings huge losses to the national economy and people's lives and properties. In recent years, affected by climate change, sudden floods in small and medium-sized rivers caused by local heavy rainfall have occurred frequently, and have become the main disasters causing casualties. Rapid forecasting of sudden floods in small and medium-sized river basins has become an important problem to be solved urgently . Methods to mitigate flood disasters include engineering measures such as embankment construction and non-engineering measures such as flood warning and forecasting. [0003] With the development of technologies such as remote sensing, geographic information, and digital watersheds, ...

AI Technical Summary

Problems solved by technology

General reservoirs have characteristic storage capacity data at the time of design, including dead storage capacity, prosperous storage capacity, flood control storage capacity, etc., but in many small and medium watersheds, there are a large number of small reservoirs and ponds without data. These small reservoirs and ponds have an impact on the flood process. Significant, but usually only total storage capacity data, lack of characteristic storage capacity data

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