Basin erosion sediment production predicting method coupling with different spatial and temporal scale models

Abstract

The invention provides a basin erosion sediment production predicting method coupling with different spatial and temporal scale models. The method comprises the following steps: dividing a to-be-detected drainage basin into m sub drainage basins according to DEM topographic data and a remote-sensing image of the to-be-detected drainage basin; carrying out statistics on rainfall times n of each subdrainage basins every year, calculating the erosion sediment production and spatial distribution thereof of each sub drainage basin after rainfall every time and updating the DEM data of each sub drainage basin to obtain updated DEM data; and then calculating the gradient and slope length factor LSl of the lth sub drainage basin W1, and calculating the annular erosion sediment production f (Wl) according to a rainfall erosive force factor Rl, a soil erosive factor Kl, a slope length factor LSl, a vegetation factor Cl, an engineering measure factor El, a tillage measure factor Tl and a liner erosion coefficient factor Gl of Wl so as to further predict the annular erosion sediment production of the to-be-detected drainage basin W. The method overcomes the defect that the topographic parameters of a single experience model are immobilized and considers maldistribution of the rainfall space and the erosion sediment production mechanism fully, so that the soil erosion process can be betterreflected.

Description

technical field [0001] The invention relates to the technical field of watershed erosion and sediment yield prediction, in particular to a watershed erosion and sediment yield prediction method coupled with models of different temporal and spatial scales. Background technique [0002] Currently, a single model is mainly used to predict the trend of annual erosion and sediment yield in watersheds, combined with rainfall observation data and underlying surface data, to simulate and predict annual erosion and sediment yield in the watershed. The mechanism of water circulation on different temporal and spatial scales has not yet been resolved. When a single annual erosion and sediment yield model is used to simulate watershed erosion and sediment yield, the topographic parameters are usually fixed. Therefore, it cannot fully reflect the physical process and mechanism of river basin sediment yield. Contents of the invention [0003] In order to solve the above-mentioned problem...

AI Technical Summary

Problems solved by technology

[0002] At present, the annual erosion and sediment yield trend prediction of the watershed mainly uses a single model, combined with the rainfall observation data and the underlying surface data, to carry out the simulation prediction of the annual erosion and sediment yield of the watershed. The mechanism of water circulation on different temporal and spatial scales has not yet been resolved. When a single annual erosion and sediment yield model is used to simulate watershed erosion and sediment yield, the topographic parameters are usually fixed. Therefore, it cannot fully reflect the physical process and mechanism of river basin sediment yield.

Images