CN109190213A - Rainwash basin Spatial discretization methods based on land use pattern - Google Patents
Rainwash basin Spatial discretization methods based on land use pattern Download PDFInfo
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- CN109190213A CN109190213A CN201810946903.7A CN201810946903A CN109190213A CN 109190213 A CN109190213 A CN 109190213A CN 201810946903 A CN201810946903 A CN 201810946903A CN 109190213 A CN109190213 A CN 109190213A
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Abstract
The invention proposes a kind of rainwash basin Spatial discretization methods based on land use pattern, include the following steps: to calculate by hydrology website monitoring data or hydrological model, obtains the rainwash process of basin Outlet Section and the raster data of land use；Weight is determined according to the land use pattern of different grids；The allocation proportion of different grid run-offs is determined according to weight；Two-dimensional grid data are turned to by one-dimensional data is discrete according to allocation proportion.The present invention has fully considered influence of the special heterogeneity in basin to run-off spatial discretization；The computational stability of two-dimentional hydrodynamic model is improved, and reduces mean allocation bring in conventional method and calculates error problem.
Description
Technical field
The present invention relates to hydrographic data sliding-model control technical field, in particular to a kind of ground based on land use pattern
Table runoff basin Spatial discretization methods.
Background technique
Based on the Hydrodynamic Model of two-dimensional shallow water equation, in particular by the two of explicit scheme and Developing Shock-Capturing numerical method
Dimension module, is usually used in all kinds of peb process simulations, and the dynamic process of analog Complex Flow Status is suitable for having sudden, water
It concentrates, the simulation of the storm flood for the features such as flow velocity is big.This class model can carry out the feature of topography variation and surface buildings
Fine description, predict storm flood characteristic value spatial distribution and dynamic process, can be used for analyzing advance of freshet process to farmland,
Industrial plants, urban infrastructure and building, people life influence.This class model is based on raster data and is calculated, but
The monitoring data of usual hydrology website or the calculated result of hydrological model are usually the diameter flow data of basin Outlet Section, need by
Spatial discretization processing, just can apply to two-dimentional Hydrodynamic Model.
However, common mode is basin mean allocation run-off at present there has been no mature Spatial discretization methods, this
The shortcomings that method is the special heterogeneity for not considering basin, i.e., land use pattern, soil characteristic, gradient of each grid etc. are equal
It is not identical, space calculated result can be directly resulted in and large error occur, and cause the stability calculated poor.
Summary of the invention
The purpose of the present invention aims to solve at least one of described technological deficiency.
For this purpose, it is an object of the invention to propose a kind of rainwash basin spatial discretization based on land use pattern
Method.
To achieve the goals above, the embodiment of the present invention provides a kind of rainwash basin based on land use pattern
Spatial discretization methods include the following steps:
Step 1, it is calculated by hydrology website monitoring data or hydrological model, obtains the rainwash mistake of basin Outlet Section
The raster data of journey and land use；
Step 2, weight is determined according to the land use pattern of different grids；
Step 3, the allocation proportion of different grid run-offs is determined according to weight；
Step 4, two-dimensional grid data are turned to for one-dimensional data is discrete according to allocation proportion.
Further, in the step S3, the allocation proportion that different grid run-offs are determined using following formula, according to grid institute
The allocation proportion of all grids in the weight calculation basin of distribution:
Wherein, WFI, jIndicate the weight of the land use pattern of grid (i, j)；I, j respectively represent grid x, the sequence in the direction y
Number；M, n are the x of two-dimensional grid, the grid sum in the direction y；PrI, jFor the allocation proportion of different grid run-offs.
Further, in the step S4, two-dimensional grid data are turned to for one-dimensional data is discrete using following formula:
rmI, j=PrI, j*r1D,
Wherein, rmI, jIndicate the two-dimensional grid data of run-off；r1DFor basin Outlet Section flow path surface it is one-dimensional
Data.
Further, in the step S2, the land use pattern of the difference grid, comprising: forest land, opening, filling
The wooden woods, meadow, arable land, bare area, waters and construction land.
Rainwash basin Spatial discretization methods according to an embodiment of the present invention based on land use pattern obtain stream
The rainwash process data of domain Outlet Section；Based on the progress spatial discretization of the weight of different grid land use patterns
It calculates；Provide the land use pattern weight table obtained by experience and experiment.The method of the present invention is based on different land use class
The weight of type determines the discretization allocation proportion from one-dimensional rainwash data to two-dimensional grid data, has fully considered basin
Influence of the special heterogeneity to run-off spatial discretization；The computational stability of two-dimentional hydrodynamic model is improved, and is reduced
Mean allocation bring calculates error problem in conventional method, and calculating process is simple, operates well, easily promotes.
The additional aspect of the present invention and advantage will be set forth in part in the description, and will partially become from the following description
Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect of the invention and advantage will become from the description of the embodiment in conjunction with the following figures
Obviously and it is readily appreciated that, in which:
Fig. 1 is the rainwash basin Spatial discretization methods based on land use pattern according to the embodiment of the present invention
Flow chart；
Fig. 2 is to be illustrated according to the Outlet Section analogue flow rate sequence of inventive embodiments and the contrast verification of measured discharge sequence
Figure.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, it is intended to is used to explain the present invention, and is not considered as limiting the invention.
The present invention proposes a kind of rainwash basin Spatial discretization methods based on land use pattern, solves to be directed to water
The special heterogeneity problem faced when literary data space discretization.
As shown in Figure 1, the rainwash basin Spatial discretization methods based on land use pattern of the embodiment of the present invention,
Include the following steps:
Step 1, data preparation: being calculated by hydrology website monitoring data or hydrological model, obtains basin Outlet Section
Rainwash process (run-off: r1D, unit: rice) and land use raster data.That is, the rainwash of basin Outlet Section
Process can be that mathematical model calculates resulting as a result, being also the data of monitoring station.
Step 2, weight (WF is determined according to the land use pattern of different gridsI, j)。
The land use pattern of different grids, comprising: forest land, opening, spinney, meadow, arable land, bare area, waters and
Construction land.Different grid weights must table look-up according to the land use pattern of the grid 1 to be obtained, this table is based on application experience and object
Reason experiment obtains.
Table 1
Step 3, according to weight (WFI, j) determine the allocation proportion (Pr of different grid run-offsI, j)。
The allocation proportion that different grid run-offs are determined using following formula, institute in the weight calculation basin distributed according to grid
There is the allocation proportion of grid:
Wherein, WFI, jIndicate the weight of the land use pattern of grid (i, j)；I, j respectively represent grid x, the sequence in the direction y
Number；M, n are the x of two-dimensional grid, the grid sum in the direction y；PrI, jFor the allocation proportion of different grid run-offs.
Step 4, according to allocation proportion by one-dimensional data (run-off: r1D) it is discrete turn to two-dimensional grid data (run-off:
rmI, j, unit: rice).
Two-dimensional grid data are turned to for one-dimensional data is discrete using following formula:
rmI, j=PrI, j*r1D, (2)
Wherein, rmI, jIndicate the two-dimensional grid data of run-off；r1DFor basin Outlet Section flow path surface it is one-dimensional
Data.
Rainwash basin Spatial discretization methods according to an embodiment of the present invention based on land use pattern obtain stream
The rainwash process data of domain Outlet Section；Based on the progress spatial discretization of the weight of different grid land use patterns
It calculates；Provide the land use pattern weight table obtained by experience and experiment.The method of the present invention is based on different land use class
The weight of type determines the discretization allocation proportion from one-dimensional rainwash data to two-dimensional grid data, has fully considered basin
Influence of the special heterogeneity to run-off spatial discretization；The computational stability of two-dimentional hydrodynamic model is improved, and is reduced
Mean allocation bring calculates error problem in conventional method, and calculating process is simple, operates well, easily promotes.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any
One or more embodiment or examples in can be combined in any suitable manner.
Although the embodiments of the present invention has been shown and described above, it is to be understood that above-described embodiment is example
Property, it is not considered as limiting the invention, those skilled in the art are not departing from the principle of the present invention and objective
In the case where can make changes, modifications, alterations, and variations to the above described embodiments within the scope of the invention.The scope of the present invention
It is extremely equally limited by appended claims.
Claims (4)
1. a kind of rainwash basin Spatial discretization methods based on land use pattern, which is characterized in that including walking as follows
It is rapid:
Step 1, calculated by hydrology website monitoring data or hydrological model, obtain basin Outlet Section rainwash process and
The raster data of land use；
Step 2, weight is determined according to the land use pattern of different grids；
Step 3, the allocation proportion of different grid run-offs is determined according to weight；
Step 4, two-dimensional grid data are turned to for one-dimensional data is discrete according to allocation proportion.
2. the rainwash basin Spatial discretization methods based on land use pattern as described in claim 1, which is characterized in that
In the step S3, the allocation proportion of different grid run-offs, the weight calculation distributed according to grid are determined using following formula
The allocation proportion of all grids in basin:
Wherein, WFI, jIndicate the weight of grid (i, j) land use pattern；I, j respectively represent grid x, the serial number in the direction y；m,n
For the x of two-dimensional grid, the grid sum in the direction y；PrI, jFor the allocation proportion of different grid run-offs.
3. the rainwash basin Spatial discretization methods based on land use pattern as described in claim 1, which is characterized in that
In the step S4, two-dimensional grid data are turned to for one-dimensional data is discrete using following formula:
rmI, j=PrI, j*r1D,
Wherein, rmI, jIndicate the two-dimensional grid data of run-off；r1DFor the one-dimensional data of the flow path surface of basin Outlet Section.
4. the rainwash basin Spatial discretization methods based on land use pattern as described in claim 1, which is characterized in that
In the step S2, it is described difference grids land use pattern, comprising: forest land, opening, spinney, meadow, arable land,
Bare area, waters and construction land.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110686862A (en) * | 2019-10-24 | 2020-01-14 | 中国科学院地理科学与资源研究所 | Flow process rasterization method based on soil infiltration capacity |
| CN112699336A (en) * | 2021-01-07 | 2021-04-23 | 中国科学院地理科学与资源研究所 | Surface runoff watershed space discretization method and device based on eight-direction elevation difference |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110686862A (en) * | 2019-10-24 | 2020-01-14 | 中国科学院地理科学与资源研究所 | Flow process rasterization method based on soil infiltration capacity |
| CN112699336A (en) * | 2021-01-07 | 2021-04-23 | 中国科学院地理科学与资源研究所 | Surface runoff watershed space discretization method and device based on eight-direction elevation difference |
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